High-resolution seismic monitoring of instrumented buildings using a model-based state observerKalil ErazoEric M. HernandezEarthquake shaking tableStructural engineeringReinforced concreteBending momentEstimatorEngineeringCalibrationShear wallBuilding codeComputer scienceMathematicsStatisticsSummary This paper proposes a model‐based state observer to perform high‐definition response estimation in partially instrumented building structures. The proposed estimator is verified in a simulated five‐story shear‐building structure and validated using measurements from a seven‐story reinforced concrete building slice tested at the NEES‐University of California at San Diego shake table. In both cases the proposed estimator yielded satisfactory results by estimating the time history of shear forces, bending moments, displacements, and strains at various points/sections of interest. The proposed algorithm can be used in instrumented buildings for various practical applications such as post‐earthquake damage assessment, structural control, and building code calibration. Copyright © 2016 John Wiley & Sons, Ltd.2016eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1002/eqe.2781Earthquake Engineering and Structural DynamicsEarthquake Engineering and Structural Dynamicsurn:issn:0098-8847urn:issn:1096-9845Earthquake Engineering and Structural Dynamics, 2016, vol. 45, n. 15, p. 2513-2531info:eu-repo/semantics/closedAccessclosedAccessQ1Sustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Lower bound of structural damage to achieve practical identifiability of nonlinear models in seismic structural health monitoringKalil ErazoEric M. HernandezEarthquake shaking tableIdentifiabilityNonlinear systemStructural engineeringStructural health monitoringEngineeringExtended Kalman filterKalman filterComputer scienceAbstract This paper examines the effect of structural damage on the practical/computational identifiability of the parameters that define nonlinear models of building structures subjected to earthquake‐induced base motions. The objective is to determine the level of physical damage expected to successfully estimate the nonlinear parameters of restoring force models. For this purpose, the analyses aim to determine if the parameters that define a hysteretic (Bouc‐Wen type) model can be identified within a predefined level of accuracy from accelerations measured during seismic events that cause minor damage. The identified model is then interrogated to determine if it can provide accurate predictions of the response and damage level experienced during strong ground motions that cause moderate‐to‐severe damage. The damage model adopted is a Park–Ang type model and the unscented Kalman filter is used for parameter estimation. The results are verified using simulated two‐dimensional building models and validated using experimental data from a large‐scale shake table test.2024eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1002/eqe.4011Earthquake Engineering and Structural DynamicsEarthquake Engineering and Structural Dynamicsurn:issn:0098-8847urn:issn:1096-9845Earthquake Engineering and Structural Dynamics, 2024, vol. 53, n. 1, p. 5-22info:eu-repo/semantics/openAccessopenAccesscc-by-nchttps://doi.org/10.1002/eqe.4011Q1Sustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Comparative study of continuous hourly energy consumption forecasting strategies with small data sets to support demand management decisions in buildingsDeyslen Mariano-HernándezLuís Hernández-CallejoMartín SolísÁngel Zorita-LamadridÓscar Duque-PérezLuis Gerardo GonzalezVíctor Alonso‐GómezÁlvaro JaramilloFélix Santos GarcíaMean absolute percentage errorConsumption (sociology)Computer scienceElectricityEnergy consumptionDecision treeDemand forecastingTime horizonRandom forestArtificial neural networkOperations researchData miningArtificial intelligenceMathematical optimizationEngineeringMathematicsAbstract Buildings are one of the largest consumers of electrical energy, making it important to develop different strategies to help to reduce electricity consumption. Building energy consumption forecasting strategies are widely used to support demand management decisions, but these strategies require large data sets to achieve an accurate electric consumption forecast, so they are not commonly used for buildings with a short history of record keeping. Based on this, the objective of this study is to determine, through continuous hourly electricity consumption forecasting strategies, the amount of data needed to achieve an accurate forecast. The proposed forecasting strategies were evaluated with Random Forest, eXtreme Gradient Boost, Convolutional Neural Network, and Temporal Convolutional Network algorithms using 4 years of electricity consumption data from two buildings located on the campus of the University of Valladolid. For performance evaluation, two scenarios were proposed for each of the proposed forecasting strategies. The results showed that for forecasting horizons of 1 week, it was possible to obtain a mean absolute percentage error (MAPE) below 7% for Building 1 and a MAPE below 10% for Building 2 with 6 months of data, while for a forecast horizon of 1 month, it was possible to obtain a MAPE below 10% for Building 1 and below 11% for Building 2 with 10 months of data. However, if the distribution of the data captured in the buildings does not undergo sudden changes, the decision tree algorithms obtain better results. However, if there are sudden changes, deep learning algorithms are a better choice.2022eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1002/ese3.1298Energy Science and EngineeringEnergy Science and Engineeringurn:issn:2050-0505Energy Science and Engineering, 2022, vol. 10, n. 12, p. 4694-4707info:eu-repo/semantics/openAccessopenAccesscc-byhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ese3.1298Q2doajAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Bayesian estimation of acoustic emissions source in plate structures using particle-based stochastic filteringKalil ErazoDebarshi SenSatish NagarajaiahParticle filterPosterior probabilityAlgorithmKalman filterFilter (signal processing)MathematicsBayesian probabilityComputer scienceStatisticsComputer visionThe application of particle-based stochastic filters to acoustic emission source localization in plate structures is presented. The approach employs time-of-flight measurements of guided waves using triangulation to estimate the acoustic emission source coordinates in a probabilistic framework using Bayesian inference, incorporating uncertainties related to material properties, measurement noise, and geometry of the system of interest. The estimate of the source location is given by a probability density function conditional on the guided wave measurements, found using particle-based stochastic simulation algorithms; in this setting, a set of particles is used to explore the space of possible source locations and efficiently estimate the posterior. The use of 2 filters is explored: the ensemble Kalman filter and the particle filter. The former filter assumes that the posterior distribution can be approximated by a Gaussian distribution, although the latter provides a nonparametric estimate of the posterior in the form of a weighted set of samples, overcoming the challenges related to the evaluation of high-dimensional integrals in an efficient way. Results of an experimental validation study conducted in a laboratory environment demonstrate the accuracy and efficiency of the particle filter-based approach. In particular, it is shown that the proposed particle filter-based approach has the capability to locate the emission source under minimal instrumentation, providing confidence intervals as a quantitative measure of the uncertainty in the estimates.2017eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1002/stc.2005Structural Control and Health MonitoringStructural Control and Health Monitoringurn:issn:1545-2255urn:issn:1545-2263Structural Control and Health Monitoring, 2017, vol. 24, n. 11, p. e2005info:eu-repo/semantics/openAccessopenAccesshttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/stc.2005Q1doajInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Bayesian structural identification of a hysteretic negative stiffness earthquake protection system using unscented Kalman filteringKalil ErazoSatish NagarajaiahNonlinear systemStiffnessStructural engineeringKalman filterExtended Kalman filterEngineeringContext (archaeology)System identificationStructural health monitoringStructural systemBenchmark (surveying)Identification (biology)Control theory (sociology)Computer scienceGeologyArtificial intelligencePhysicsData modelingThe application of Bayesian system identification in the context of a hysteretic negative stiffness system for seismic protection of structures is presented. The negative stiffness system employs the concept of apparent weakening to decrease the effective lateral stiffness of structures subjected to strong earthquakes, resulting in a significant reduction of the base shear and other seismic demands. In this paper, results from large-scale experimental testing performed by Rice University and the University at Buffalo - SUNY are used to estimate the parameters that define the nonlinear models of structures equipped with negative stiffness systems. For this purpose, an unscented Kalman filter for augmented-state nonlinear estimation is employed for structural identification. It is shown that the identified models have the capability to accurately predict the nonlinear hysteretic behavior of the modified structure. The predicted response quantities include lateral drifts and accelerations, base shear, restoring forces, and internal forces in structural members. The identified models provide benchmark parameters that can be used to predict the performance of negative stiffness systems, which is useful for the future design of structures equipped with this type of earthquake protection devices.2018eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1002/stc.2203Structural Control and Health MonitoringStructural Control and Health Monitoringurn:issn:1545-2255urn:issn:1545-2263Structural Control and Health Monitoring, 2018, vol. 25, n. 9, p. e2203info:eu-repo/semantics/openAccessopenAccesshttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/stc.2203Q1doajSustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Real-time dynamic stress response estimation at critical locations of instrumented structures embedded in random fieldsKalil ErazoEric M. HernandezEstimatorSpectral densityFinite element methodVibrationRandom vibrationStructural engineeringProcess (computing)Computer scienceField (mathematics)EngineeringControl theory (sociology)MathematicsAcousticsStatisticsPhysicsArtificial intelligence2013eninfo:eu-repo/semantics/conferenceObjectproceedings-articlehttps://doi.org/10.1007/978-1-4614-6546-1_39Conference Proceedings of the Society for Experimental Mechanics SeriesConference Proceedings of the Society for Experimental Mechanics Seriesurn:issn:2191-5644urn:issn:2191-5652Conference Proceedings of the Society for Experimental Mechanics Series, 2013, p. 367-374info:eu-repo/semantics/closedAccessclosedAccessClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Recursive Nonlinear Identification of a Negative Stiffness Device for Seismic Protection of Structures with Geometric and Material NonlinearitiesKalil ErazoSatish NagarajaiahNonlinear systemControl theory (sociology)StiffnessVibrationContext (archaeology)Displacement (psychology)Structural systemKalman filterExtended Kalman filterStructural engineeringComputer scienceMathematicsEngineeringPhysicsAcousticsGeologyArtificial intelligence2020eninfo:eu-repo/semantics/conferenceObjectproceedings-articlehttps://doi.org/10.1007/978-3-030-47638-0_34Conference Proceedings of the Society for Experimental Mechanics SeriesConference Proceedings of the Society for Experimental Mechanics Seriesurn:issn:2191-5644urn:issn:2191-5652Conference Proceedings of the Society for Experimental Mechanics Series, 2020, p. 315-322info:eu-repo/semantics/closedAccessclosedAccessClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal An Output-Only Bayesian Identification Approach for Nonlinear Structural and Mechanical SystemsKalil ErazoSatish NagarajaiahKalman filterIdentification (biology)Bayesian probabilityNonlinear systemPosterior probabilityForcing (mathematics)Computer scienceControl theory (sociology)InverseExtended Kalman filterState (computer science)Recursive Bayesian estimationSystem identificationAlgorithmApplied mathematicsMathematical optimizationMathematicsArtificial intelligenceData miningControl (management)2020eninfo:eu-repo/semantics/conferenceObjectproceedings-articlehttps://doi.org/10.1007/978-3-030-47638-0_47Conference Proceedings of the Society for Experimental Mechanics SeriesConference Proceedings of the Society for Experimental Mechanics Seriesurn:issn:2191-5644urn:issn:2191-5652Conference Proceedings of the Society for Experimental Mechanics Series, 2020, p. 431-437info:eu-repo/semantics/closedAccessclosedAccessReduced inequalitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Integration of Internet of Things Technologies in Government Buildings Through Low-Cost SolutionsDeyslen Mariano-HernándezMiguel Aybar-MejíaJesús Coronado MarteAdrián ContrerasJimmy AriasGovernment (linguistics)Efficient energy useArchitectural engineeringEnergy consumptionThe InternetBuilding management systemManagement systemEnvironmental economicsInternet of ThingsConsumption (sociology)Quality (philosophy)Computer scienceEngineeringComputer securityOperations managementWorld Wide WebElectrical engineering2022eninfo:eu-repo/semantics/conferenceObjectproceedings-articlehttps://doi.org/10.1007/978-3-030-96753-6_22Communications in Computer and Information ScienceCommunications in Computer and Information Scienceurn:issn:1865-0929urn:issn:1865-0937Communications in Computer and Information Science, 2022, p. 311-319info:eu-repo/semantics/closedAccessclosedAccessQ4Industry, innovation and infrastructureInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Non-linear Control Strategy for a Bidirectional DC-DC Converter in an Energy Storage System Operating in Conjunction with a Grid-Forming InverterMiguel Aybar-MejíaCarlos R. BaierFedérico M. SerraEduardo E. EspinosaPedro MelínJesús C. HernándezInverterGridConjunction (astronomy)Computer scienceElectrical engineeringControl (management)EngineeringPhysicsVoltageMathematicsArtificial intelligence2025eninfo:eu-repo/semantics/bookPartbook-chapterhttps://doi.org/10.1007/978-3-031-85324-1_22Communications in computer and information scienceCommunications in computer and information scienceurn:issn:1865-0929urn:issn:1865-0937Communications in computer and information science, 2025, p. 304-318info:eu-repo/semantics/closedAccessclosedAccessQ4Affordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Neuronal Networks to Analyze Accessibility and GPS Data: A Case Study of Santo DomingoLissy La Paix PuelloAmparo Isabel Álvarez Poyóaccessibility (transport and spatial geography)GPS dataartificial neural networkspublic transportactive transporttravel distancelevel of servicestation catchment areasSanto Domingodeveloping countries2026info:eu-repo/semantics/bookPartbook-chapterhttps://doi.org/10.1007/978-3-032-06763-0_83Lecture notes in mobilityLecture notes in mobilityurn:issn:2196-5544urn:issn:2196-5552Lecture notes in mobility, 2026info:eu-repo/semantics/openAccessopenAccesscc-byhttps://link.springer.com/content/pdf/10.1007/978-3-032-06763-0_83.pdfIndustry, innovation and infrastructureSustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Eddies as Indicators of Local Sargassum Inundation Risks on the South Coast of Dominican RepublicDeyslen Mariano-HernándezMiguel Aybar-MejíaIván Jiménez-DuránLodriz Lorenzo RodríguezCarlos SanlleyeddiesSargassumcoastal hazards2026eninfo:eu-repo/semantics/bookPartbook-chapterhttps://doi.org/10.1007/978-3-032-19019-2_28Communications in computer and information scienceCommunications in computer and information scienceurn:issn:1865-0929urn:issn:1865-0937Communications in computer and information science, 2026, p. 403-417info:eu-repo/semantics/closedAccessclosedAccessQ4Life below waterInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Comparative Forecasting of Hospital Cardiovascular Emergency Demand in the Dominican Republic Using Time Series and Machine Learning ModelsDeyslen Mariano-HernándezMiguel Aybar-MejiaNavila Leon-TejedaEdwin Sánchez-CamiloArmando J. Taveras-CruzIván Jiménez-Duránhospital demand forecastingcardiovascular emergenciesemergency department demandtime series forecastingmachine learning forecastingmodel comparisonDominican Republic2026eninfo:eu-repo/semantics/bookPartbook-chapterhttps://doi.org/10.1007/978-3-032-19019-2_8Communications in computer and information scienceCommunications in computer and information scienceurn:issn:1865-0929urn:issn:1865-0937Communications in computer and information science, 2026, p. 109-118info:eu-repo/semantics/closedAccessclosedAccessQ4Good health and well-beingInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal State estimation in nonlinear structural systemsKalil ErazoEric M. HernandezKalman filterEstimatorExtended Kalman filterNonlinear systemEnsemble Kalman filterControl theory (sociology)Particle filterInvariant extended Kalman filterState (computer science)Computer scienceAlpha beta filterNoise (video)AlgorithmMathematicsMoving horizon estimationStatisticsArtificial intelligencePhysics2014eninfo:eu-repo/semantics/conferenceObjectproceedings-articlehttps://doi.org/10.1007/978-3-319-04522-1_24Conference Proceedings of the Society for Experimental Mechanics SeriesConference Proceedings of the Society for Experimental Mechanics Seriesurn:issn:2191-5644urn:issn:2191-5652Conference Proceedings of the Society for Experimental Mechanics Series, 2014, p. 249-257info:eu-repo/semantics/closedAccessclosedAccessInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Biofuels for transport: Prospects and challengesRafael LuqueSara PinziJuan M. CampeloJuan J. RuizIosvani LopezDiego LunaJose M. MarinasAntonio A. RomeroM. Pilar Doradobiofuelstransport sectorrenewable energybiofuel feedstockbiofuel production technologiesgreenhouse gas emissions reductionengine testingoil depletionenergy demand2010info:eu-repo/semantics/bookPartbook-chapterhttps://doi.org/10.1007/978-90-481-3352-9_8Emerging Environmental TechnologiesEmerging Environmental TechnologiesEmerging Environmental Technologies, 2010info:eu-repo/semantics/closedAccessclosedAccessAffordable and clean energyClimate actionResponsible consumption and productionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Renewables to Save the Island from Islanding: The Cozumel Study CaseMiguel Aybar-MejíaRoberto Eduardo Quintal-PalomoEzequiel Cedillos PantiJavier Mendoza-VizcainoMauricio Escalante SoberanisRenewable energyClimate changeBoomGovernment (linguistics)2026eninfo:eu-repo/semantics/bookPartbook-chapterhttps://doi.org/10.1007/978-981-95-7302-8_22Springer Proceedings in EnergySpringer Proceedings in Energyurn:issn:2352-2534urn:issn:2352-2542Springer Proceedings in Energy, 2026, p. 341-359info:eu-repo/semantics/closedAccessclosedAccessInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Electric Vehicle Bidirectional Charging Infrastructure: A Review of Its Impact on the GridDeyslen Mariano-HernándezMiguel Aybar-MejíaAnyel Guzman-De los SantosCristhian Medina-PeñaOscar Pérez-OtáñezYendry Estévez-FelizArmando J. Taveras-Cruzvehicle-to-gridbidirectional chargingelectric vehiclesgrid integrationnon-isolated converterbattery degradationpeak shavingpredictive controlartificial intelligenceenergy regulationinteroperability standardsenergy ecosystemdistributed energy resources2026eninfo:eu-repo/semantics/bookPartbook-chapterhttps://doi.org/10.1007/978-981-95-7302-8_5Springer Proceedings in EnergySpringer Proceedings in Energyurn:issn:2352-2534urn:issn:2352-2542Springer Proceedings in Energy, 2026, p. 73-88info:eu-repo/semantics/closedAccessclosedAccessIndustry, innovation and infrastructureAffordable and clean energySustainable cities and communitiesClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Design of a Control Strategy to Reduce DC Offset and Maximum HFT Current of a DAB Converter Under Open Circuit Fault in the First Active BridgeMiguel Aybar-MejíaKevin PavezFrancisco Daniel EstebanFedérico M. SerraCarlos R. BaierEduardo E. EspinosaBruno W. FrançaOffset (computer science)Fault (geology)Half bridgeControl theory (sociology)Current (fluid)ConvertersBridge (graph theory)2026eninfo:eu-repo/semantics/bookPartbook-chapterhttps://doi.org/10.1007/978-981-95-7302-8_9Springer Proceedings in EnergySpringer Proceedings in Energyurn:issn:2352-2534urn:issn:2352-2542Springer Proceedings in Energy, 2026, p. 143-157info:eu-repo/semantics/closedAccessclosedAccessAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Hybridization of Renewable Energy Sources with Pumped Hydroelectric for Energy System StabilityMiguel Aybar-MejíaAlexis V. TerreroVictor OcañaHydroelectricityRenewable energyEnergy (signal processing)Environmental scienceElectrical engineeringEngineeringPhysics2025eninfo:eu-repo/semantics/bookPartbook-chapterhttps://doi.org/10.1007/978-981-96-4301-1_8Springer proceedings in energySpringer proceedings in energyurn:issn:2352-2534urn:issn:2352-2542Springer proceedings in energy, 2025, p. 111-125info:eu-repo/semantics/closedAccessclosedAccessAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Sustainable production in coffee agroforestry systems in the Jaragua-Bahoruco-Enriquillo Biosphere Reserve: a discrete choice experimentVíctor Gómez-ValenzuelaKaterin RamírezYuri DuránBiosphereAgroforestrySustainable productionProduction (economics)AgricultureGeographyEnvironmental scienceEcologyEconomicsBiologyCaféAgricultura sostenibleCambios climáticosAgriculturaThis article analyzes the preferences of smallholder coffee producers in the surroundings of the Jaragua-Bahoruco-Enriquillo Biosphere Reserve (RBJBE) in the southwest of the Dominican Republic. In the Caribbean, coffee production and marketing have been threatened by pests’ expansion and agroecosystems’ vulnerability to climate change. A Discrete Choice Experiment (DCE) was applied to 160 coffee farmers in the RBJBE influence area to define their preferences for sustainable agroforestry production practices to support socio-technical transitions to sustainability by adopting Voluntary Sustainability Standards (VSS). The results show that the optimal combination of factors and levels for coffee farmers must balance economic resilience with environmental sustainability tailored to local geographical and demographic conditions. Preferences for diversified crops alongside coffee indicate that many farmers value reduced economic dependency on a single crop. Gender and organizational affiliation play a key role in explaining preferences. Male farmers demonstrate stronger preferences for diversification strategies, whereas female farmers prioritize stable yields. Affiliation with producer organizations increases the likelihood of adopting sustainable practices by providing access to technical training and collective bargaining opportunities. Thus, a policy mix approach is proposed to foster sustainability transitions that benefit from considering not only the structure of preference but also the mediating role of the socio-economic characteristics of coffee farmers.2025eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1007/s10457-025-01196-7Agroforestry SystemsAgroforestry Systemsurn:issn:0167-4366urn:issn:1572-9680Agroforestry Systems, 2025, vol. 99, n. 5info:eu-repo/semantics/closedAccessclosedAccessQ1Zero hungerInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Analysis and damage correlation of ground motion intensity measures from records of the 2023 Turkey-Syria earthquakeKalil ErazoGround motionSeismologyStructural geologyHydrogeologyGeologyIntensity (physics)CorrelationGeodesyGeographyGeotechnical engineeringMathematicsPhysics2024eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1007/s10518-024-01989-8Bulletin of Earthquake EngineeringBulletin of Earthquake Engineeringurn:issn:1570-761Xurn:issn:1573-1456Bulletin of Earthquake Engineering, 2024, vol. 23, n. 3, p. 1255-1278info:eu-repo/semantics/closedAccessclosedAccessQ1Climate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Smallholder farmer resilience to extreme weather events in a global food value chainSolhanlle Bonilla-DuarteWilliam J. ThompsonVarun VarmaJonas JoerinDaniel P. BebberWilma Blaser-HartBirgit KopainskyLeonhard SpäthBianca CurcioJohan SixPius Krütlismallholder farmersfood system resilienceextreme weather eventshurricanesbanana cultivationdisaster recoveryclimate shocksmarket accesstopographyhuman capitalDominican Republic2023info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1007/s10584-023-03586-1Climatic ChangeClimatic Changeurn:issn:0165-0009urn:issn:1573-1480Climatic Change, 2023info:eu-repo/semantics/openAccessopenAccesscc-byhttps://link.springer.com/content/pdf/10.1007/s10584-023-03586-1.pdfQ1pubmedZero hungerClimate actionNo povertyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Correction to: Smallholder farmer resilience to extreme weather events in a global food value chainSolhanlle Bonilla-DuarteWilliam J. ThompsonVarun VarmaJonas JoerinDaniel P. BebberWilma Blaser-HartBirgit KopainskyLeonhard SpäthBianca CurcioJohan SixPius Krütlismallholder farmersfarmer resilienceextreme weather events2024info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1007/s10584-024-03818-yClimatic ChangeClimatic Changeurn:issn:0165-0009urn:issn:1573-1480Climatic Change, 2024info:eu-repo/semantics/openAccessopenAccesscc-byhttps://link.springer.com/content/pdf/10.1007/s10584-024-03818-y.pdfQ1Zero hungerClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Updated seismic hazard curves, maps, and spectra for the northern Dominican Republic using a probabilistic seismic hazard analysisKalil ErazoSeismic hazardSeismologyPeak ground accelerationGeologyInduced seismicityBuilding codeEarthquake scenarioIncremental Dynamic AnalysisSpectral accelerationStructural geologyGround motionEngineeringStructural engineering2023eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1007/s10950-023-10150-yJournal of SeismologyJournal of Seismologyurn:issn:1383-4649urn:issn:1573-157XJournal of Seismology, 2023, vol. 27, n. 3, p. 409-428info:eu-repo/semantics/closedAccessclosedAccessQ2Sustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Generalized conformable fractional Newton-type method for solving nonlinear systemsGiro CandelarioAlicia CorderoJuan R. TorregrosaMaría P. Vassilevaconformable fractional derivativeNewton-type methodsnonlinear systems of equationsquadratic convergenceconvergence analysisstability2023info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1007/s11075-022-01463-zNumerical AlgorithmsNumerical Algorithmsurn:issn:1017-1398urn:issn:1572-9265Numerical Algorithms, 2023info:eu-repo/semantics/openAccessopenAccesscc-byhttps://link.springer.com/content/pdf/10.1007/s11075-022-01463-z.pdfQ2Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal The influence of panel effects and inertia on travel cost elasticities for car use and public transportLissy La PaixAbu Toasin OakilFrank HofmanKarst Geurstravel cost elasticitymode choicepanel effectswithin-person variabilitycar usepublic transportmixed logit modelerror componentstravel diariestravel cost sensitivity2022info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1007/s11116-021-10201-8TransportationTransportationurn:issn:0049-4488urn:issn:1572-9435Transportation, 2022info:eu-repo/semantics/openAccessopenAccesscc-byhttps://link.springer.com/content/pdf/10.1007/s11116-021-10201-8.pdfQ1Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Evaluating the achievements and impacts of EC framework programme transport projectsLissy La PaixAnu TuominenTuuli JärviKirsi HyytinenEvangelos MitsakisMaria Eugenia Lopez-LambasJan van der WaardAnne BinstedAnatolij Sitovresearch project evaluationtransportation researchevaluation frameworkresearch impactevaluation matrixSixth Framework Programme2011info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1007/s12544-011-0048-3European Transport Research ReviewEuropean Transport Research Reviewurn:issn:1866-8887urn:issn:1867-0717European Transport Research Review, 2011info:eu-repo/semantics/openAccessopenAccesscc-byhttps://etrr.springeropen.com/counter/pdf/10.1007/s12544-011-0048-3Q4doajSustainable cities and communitiesIndustry, innovation and infrastructureInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal A multi-modal network approach to model public transport accessibility impacts of bicycle-train integration policiesLissy La PaixKarst T. GeursSander Van Weperenpublic transport accessibilityjob accessibilitycycling networkbicycle parkingstated choice surveys2016info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1007/s12544-016-0212-xEuropean Transport Research ReviewEuropean Transport Research Reviewurn:issn:1866-8887urn:issn:1867-0717European Transport Research Review, 2016info:eu-repo/semantics/openAccessopenAccesscc-byhttps://link.springer.com/content/pdf/10.1007%2Fs12544-016-0212-x.pdfQ2doajIndustry, innovation and infrastructureSustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Iterative processes with fractional derivativesGiro CandelarioAlicia CorderoJuan R. TorregrosaMaría P. Vassilevafractional derivativesiterative methodsnonlinear equationsroot findingconvergence ordercomplex rootshigh-order methods2022info:eu-repo/semantics/bookPartbook-chapterhttps://doi.org/10.1016/b978-0-32-390089-8.00010-6Fractional-Order Modeling of Dynamic Systems with Applications in Optimization, Signal Processing and ControlFractional-Order Modeling of Dynamic Systems with Applications in Optimization, Signal Processing and ControlFractional-Order Modeling of Dynamic Systems with Applications in Optimization, Signal Processing and Control, 2022info:eu-repo/semantics/closedAccessclosedAccessInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal An optimal and low computational cost fractional Newton-type method for solving nonlinear equationsGiro CandelarioAlicia CorderoJuan R. TorregrosaMaría P. Vassilevaconformable fractional derivativenonlinear equationsquadratic convergenceconvergence analysiscomputational costRiemann-Liouville fractional derivativeCaputo fractional derivative2022info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.aml.2021.107650Applied Mathematics LettersApplied Mathematics Lettersurn:issn:0893-9659urn:issn:1873-5452Applied Mathematics Letters, 2022info:eu-repo/semantics/openAccessopenAccesshttps://www.sciencedirect.com/science/article/pii/S0893965921003487Q1Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Castor oil enhanced effect on fuel ethanol-diesel fuel blend propertiesS. PinziI. LópezD.E. Leiva-CandiaM.D. Redel-MacíasJ.M. HerrerosA. Cubero-AtienzaM.P. Doradocastor oilethanol-diesel blendsfuel additivesricinoleic acidcalorific valuekinematic viscositycold filter plugging pointdesirability functionbiofuelsultra-low sulfur dieselcold flow properties2018info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.apenergy.2018.05.024Applied EnergyApplied Energyurn:issn:0306-2619urn:issn:1872-9118Applied Energy, 2018info:eu-repo/semantics/openAccessopenAccesscc-by-nc-ndhttp://www.sciencedirect.com/science/article/pii/S0306261918307177Q1Affordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Coordinated ancillary services, market participation and communication of multi-microgrids: A reviewMiguel Aybar-MejíaJunior Alexis Villanueva-RosarioFélix Santos GarcíaPatricio A. Mendoza-ArayaÁngel Molina‐GarcíaMicrogridRenewable energyFlexibility (engineering)Robustness (evolution)Reliability (semiconductor)Smart gridRisk analysis (engineering)Resilience (materials science)Distributed generationGridDemand responseEnvironmental economicsVariable renewable energyComputer scienceEngineeringReliability engineeringBusinessEnergy storageElectricityEconomics2022eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.apenergy.2021.118332Applied EnergyApplied Energyurn:issn:0306-2619urn:issn:1872-9118Applied Energy, 2022, vol. 308, p. 118332info:eu-repo/semantics/closedAccessclosedAccessQ1Affordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Adaptive protection based on multi-agent systems for AC microgrids: A reviewDeyslen Mariano-HernándezMiguel Aybar-MejiaArmando J. Taveras-CruzElvin Jiménez-MatosPatricio A. Mendoza-ArayaAngel Molina-Garcíaadaptive protectionmulti-agent systemsAC microgridsdistributed protectionfault detectionbidirectional power flowfault current reductiondistributed generationmulti-agent frameworkreal-time performancecommunication burdenThe bidirectional power flow, voltage/frequency dynamics, and reduced fault current observed in microgrids pose significant challenges to the protection of electrical systems. Particularly, the dynamic nature of microgrid-distributed energy generation requires protection schemes to adapt dynamically. Distributed protection strategies are commonly found in the literature, with adaptive protection based on multi-agent systems (MASs) being one of the most promising methods. This solution offers high autonomy, fault tolerance, and robustness against multiple fault types under various topology scenarios. This paper presents a systematic review of the current advances in MAS-based adaptive protection systems for AC microgrids. Furthermore, a discussion on the strategies implemented in MAS-based adaptive protection, the most used development frameworks for designing, developing, and testing MAS-based solutions for AC microgrid protection, and limiting factors for the widespread adoption are presented. Finally, open research problems and future research trends in MAS-based adaptive protection are also presented in this research. • Adaptive protection based on multi-agent systems (MAS) is a promising solution. • Advances in MAS-based adaptive protection systems are systematically reviewed. • MAS-based design and simulation for AC microgrid protection are included. • A lack of contributions focused on real-time performance features is noted. • MAS-based strategy's burden reduction of communications systems is also concluded.2025eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.apenergy.2024.124673Applied EnergyApplied Energyurn:issn:0306-2619urn:issn:1872-9118Applied Energy, 2025, vol. 377, p. 124673info:eu-repo/semantics/openAccessopenAccesscc-by-nchttps://doi.org/10.1016/j.apenergy.2024.124673Q1Affordable and clean energyIndustry, innovation and infrastructureInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Efficient PGD-based dynamic calculation of non-linear soil behaviorClaudia GermosoJosé Vicente AguadoAlberto FraileEnrique AlarcónFrancisco ChinestaParametric statisticsDiscretizationResponse analysisFinite element methodHysteresisApplied mathematicsMathematicsModal analysisBasis (linear algebra)Mathematical analysisStructural engineeringEngineeringPhysicsGeometryStatisticsNon-linear behavior of soils during a seismic event has a predominant role in current site response analysis. Soil response analysis consistently indicates that the stress–strain relationship of soils is non-linear and shows hysteresis. When focusing on forced response simulations, time integrations based on modal analysis are widely considered; however, parametric analysis, non-linear behavior and complex damping functions make difficult the online use of standard discretization strategies, e.g., those based on the use of finite element. In this paper, we propose a new harmonic analysis formulation, able to address forced response simulation of soils exhibiting their characteristic non-linear behavior. The solution can be evaluated in real-time from the offline construction of a parametric solution to the associated linearized problem within the Proper Generalized Decomposition framework.2016frinfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.crme.2015.09.002Comptes Rendus - MecaniqueComptes Rendus - Mecaniqueurn:issn:1873-7234urn:issn:1631-0721Comptes Rendus - Mecanique, 2016, vol. 344, n. 1, p. 24-41info:eu-repo/semantics/openAccessopenAccesscc-by-nc-ndhttps://doi.org/10.1016/j.crme.2015.09.002Q2doajLife in LandInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Techno-economic dataset and assumptions for long-term energy systems modelling in the Dominican Republic (2024–2050)Giuseppe Sbriz-ZeitunDeyslen Mariano-HernandezJarrizon QuevedoMiguel Aybar-MejíaIdalberto Herrera MoyaCarla CannoneMark HowellsRudolf Yeganyanenergy transitionDominican Republicisland statesopen dataenergy regulatorsscenario analysisThe land transport sector, impacting fossil fuel consumption, has been selected as one of the sectors to apply decarbonization strategies. Energy systems modelling is an applied tool to evaluate scenarios and strategies that can be implemented in the transport sector to achieve energy transitions. These energy modelling tools need a dataset that allows the simulation of alternative scenarios of the systems. For this purpose, a collection and processing of technical-economic data is needed to ensure a quality input for simulation tools. This article presents a set of open data to create a model of the energy system of the Dominican Republic to assess alternative scenarios and develop strategies to achieve the energy transition in the land transport sector. This exercise is performed to support the energy planning policies of the country. Although the dataset is presented for the conditions of the Dominican Republic, the insight regarding data gathering and processing can be applied to other island countries. The data obtained are an open-access database of energy regulators, generation agents, and representatives of the generation, transmission, and distribution sector, as well as websites, databases of international organizations, scientific journals, and standards. Therefore, the data presented can be updated as the technical-economic information becomes public.2024eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.dib.2023.110012Data in BriefData in Briefurn:issn:2352-3409Data in Brief, 2024, vol. 52, p. 110012info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.1016/j.dib.2023.110012Q3doajpubmedIndustry, innovation and infrastructureClimate actionAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Techno-economic dataset for energy market and capacity payment co-optimization in the Dominican Republicʼs power marketRené Báez-SantanaMiguel Aybar-MejíaMáximo A. Domínguez-GarabitosVíctor S. Ocaña-Guevaracapacity paymentsvariable renewable energywind energysolar energygeneration mix optimizationenergy demandenergy transitiondecarbonizationenergy policyThe electric power industry has an impact on fossil fuel consumption, which must be considered in decarbonization strategies. Energy systems optimization modelling can be applied to evaluate policy scenarios in the power sector to accelerate energy transitions. These modelling tools need data to simulate different scenarios in the power system to clarify the design of energy policies. For this reason, collecting and processing technical and economic data is needed to guarantee quality input for the modelling tools. This article presents a dataset for an optimization model of the generation mix and the energy demand in the power system of the Dominican Republic to determine the capacity value of variable renewable energy (VRE), i.e., wind and solar, that can serve as an incentive for these technologies. While the data corresponds to the Dominican Republic's power system, the method of collecting and processing data can be implemented in other countries. The data collected is an open-access database of the independent system operator, the power sector regulator, and utilities, as well as websites and databases of international organizations.2025eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.dib.2024.111225Data in BriefData in Briefurn:issn:2352-3409Data in Brief, 2025, vol. 58, p. 111225info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.1016/j.dib.2024.111225Q1doajpubmedAffordable and clean energyIndustry, innovation and infrastructureClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal A dataset of exogenous variables and historical electricity demand for short-term load forecasting of the national interconnected electric system (SENI) in the Dominican Republic from 2021 to 2024Deyslen Mariano-HernandezMiguel Aybar-MejíaRafael Orlando Uceta-AcostaYeulis Rivas-PeñaVíctor S. Ocaña-GuevaraMáximo A. Domínguez-Garabitoselectricity demandshort-term load forecastingexogenous variablesDominican Republichourly time seriesmeteorological observationstemperaturehumidityenergy planningThis dataset contains historical records of electricity demand in the Dominican Republic from January 2021 to December 2024, with hourly resolution. It was compiled to support short-term load forecasting of the National Interconnected Electric System (SENI). The dataset includes the total system demand in megawatts (MW), along with a set of exogenous variables commonly used in forecasting models. These variables include weather data retrieved from Open-Meteo (such as temperature and humidity), time-lagged demand features, and calendar-based indicators (e.g., weekends, holidays, month, hour). All data were collected from open sources, including the official website of the electricity market and system operator, the Organismo Coordinador (OC), as well as public meteorological APIs. The dataset is structured and cleaned to be directly usable for time series modeling applications. It can be reused by researchers, utility planners, and data scientists for benchmarking forecasting models, developing predictive tools, or supporting energy planning tasks in tropical, developing power systems. The data is provided in CSV format.2025eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.dib.2025.112057Data in BriefData in Briefurn:issn:2352-3409Data in Brief, 2025, vol. 63, p. 112057info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.1016/j.dib.2025.112057Q1doajpubmedAffordable and clean energyIndustry, innovation and infrastructureClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal A dataset of coexisting Sargassum features and submesoescalar eddies near the south coast of the Dominican Republic in 2023Deyslen Mariano-HernándezIván Jiménez-DuránElianna Castaño AbreuEdwin Sánchez-CamiloCarlos SanlleySargassumocean eddiescoastal ocean dynamicsseaweed bloomscoastal floodinginundation.2026eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.dib.2026.113158Data in BriefData in Briefurn:issn:2352-3409Data in Brief, 2026, vol. 68, p. 113158info:eu-repo/semantics/openAccessopenAccesscc-by-nchttps://www.sciencedirect.com/science/article/pii/S2352340926007055/pdfQ1doajpubmedLife below waterInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Ternary blends of diesel fuel oxygenated with ethanol and castor oil for diesel enginesM.D. Redel-MacíasS. PinziD.E. Leiva-CandiaI. LópezM.P. Doradoethanol-diesel blendsternary fuel blendsultra-low sulfur dieselkinematic viscositycold filter plugging pointfuel stabilitycompression ignition engine2017info:eu-repo/semantics/conferenceObjectproceedings-articlehttps://doi.org/10.1016/j.egypro.2017.12.137Energy ProcediaEnergy Procediaurn:issn:1876-6102Energy Procedia, 2017info:eu-repo/semantics/openAccessopenAccesscc-by-nc-ndhttps://www.sciencedirect.com/science/article/pii/S1876610217358654/pdfAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal A market-based approach to assessing the capacity value of variable renewable energy: Evidence from the Dominican RepublicRené Báez-SantanaMiguel Aybar-MejíaMáximo Domínguez-GarabitosVíctor Ocaña-GuevaraBruno Henriques-DiasJoão SoaresLuis Hernández-Callejovariable renewable energycapacity remunerationelectricity market designsystem reliabilitycapacity paymentswind energyphotovoltaicscapacity factorThe growing integration of variable renewable energy (VRE) challenges traditional capacity valuation methods in electricity markets, which mainly rely on probabilistic models and technical adequacy metrics and are not linked to market design and economic incentives. This study introduces a new approach to assessing the Economic Capacity Value (ECV) of VRE resources, which measures their contribution to system reliability, considering resource availability and market conditions. The methodology is applied using a co-optimization model of the energy market and the capacity remuneration mechanism that minimizes total system costs and capacity payments. The framework is applied to the Dominican Republic's electricity market, using 2023 demand and generation data. Results show that VRE resources provide a significant contribution to system reliability under existing market conditions. Solar photovoltaic ECVs range from 21.8 MW (17.2%) in the north region to 107.2 MW (33.6%) in the southwest, while wind power exhibits higher values, reaching 87.6 MW (43.9%) in the north and 74.7 MW (34.4%) in the southwest. In all cases, ECV surpasses the capacity factor, indicating that VRE contributes more to reliability than its average production suggests. Sensitivity analysis shows that ECV is highly sensitive to market design parameters, with ±25% variations in capacity payments or scarcity prices resulting in ECV changes of up to 34%. These findings show that capacity value can be influenced by both resource availability during high demand periods and market design, supporting the inclusion of VRE in capacity remuneration mechanisms based on ECV. • A novel methodology is proposed to estimate the Economic Capacity Value (ECV) of VRE power plants. • A co-optimization model of the energy market and the capacity payments is built for the application of the methodology. • A case study estimates regional ECV of VRE in north, southwest, and southeast regions of the Dominican Republic for 2023. • Wind power plants show a higher ECV than solar photovoltaic power plants in the Dominican Republic during 2023. • All technologies across regions show an ECV that exceeds their capacity factor in 2023.2026eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.egyr.2026.109300Energy ReportsEnergy Reportsurn:issn:2352-4847Energy Reports, 2026, vol. 15, p. 109300info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.1016/j.egyr.2026.109300Q1doajIndustry, innovation and infrastructureAffordable and clean energyClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Operating reserve allocation in the Caribbean small island electricity market with high shared variable renewable energy: A review and methodological frameworkMiguel Aybar-MejíaYeulis V. Rivas-PeñaVíctor S. Ocaña-GuevaraRafael O. Uceta-AcostaBruno Henriques-DiasMáximo A. Domínguez-GarabitosCaribbean Small Island Developing Statesvariable renewable energy integrationlow system inertiaelectricity market regulationmixed-integer linear programmingrobust optimizationstochastic optimizationelectricity market developmentCaribbean Small Island Developing States (SIDS) face unique challenges for operating reserve allocation due to isolated operation, low system inertia, limited operational flexibility, and increasing uncertainty associated with variable renewable energy (VRE). This paper presents a systematic literature review of regulatory frameworks, electricity market structures, and optimization approaches for operating reserve allocation across the 15 United Nations-affiliated Caribbean SIDS. A comparative assessment is performed to evaluate the applicability of existing optimization methodologies to the operational characteristics of Caribbean SIDS. The review identifies Mixed-Integer Linear Programming (MILP) as the most suitable computational foundation for reserve allocation, while highlighting the complementary roles of robust and stochastic optimization under different levels of uncertainty and data availability. The analysis further reveals five key research gaps, including the absence of integrated methodological frameworks adapted to the regulatory, operational, and institutional characteristics of Caribbean SIDS. To address these gaps, a PDCA-based continuous improvement framework is proposed, providing a structured and adaptable methodology to support reliable reserve allocation, facilitate higher VRE integration, and promote sustainable electricity market development in isolated island power systems.2026eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.egyr.2026.109658Energy ReportsEnergy Reportsurn:issn:2352-4847Energy Reports, 2026, vol. 16, p. 109658info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.1016/j.egyr.2026.109658Q1doajIndustry, innovation and infrastructureAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Effect of the use of olive-pomace oil biodiesel/diesel fuel blends in a compression ignition engine: Preliminary exergy analysisI. LópezC.E. QuintanaJ.J. RuizF. Cruz-PeragónM.P. Doradobiodiesel blendsexergy analysisexergy efficiencyexergetic costcompression ignition enginedirect injection diesel enginesecond-generation biofuelsengine performancefuel consumptionengine power2014info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.enconman.2014.05.084Energy Conversion and ManagementEnergy Conversion and Managementurn:issn:0196-8904urn:issn:1879-2227Energy Conversion and Management, 2014info:eu-repo/semantics/closedAccessclosedAccessQ1Affordable and clean energyResponsible consumption and productionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Multiple response optimization to reduce exhaust emissions and fuel consumption of a diesel engine fueled with olive pomace oil methyl ester/diesel fuel blendsI. LópezS. PinziD. Leiva-CandiaM.P. Doradodiesel enginesbiodiesel blendsvehicle emissionsbrake specific fuel consumptionmulti-response optimizationengine loadNOx emissionssulfur dioxide emissionscarbon monoxide emissionsprocess parameter optimization2016info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.energy.2016.03.064EnergyEnergyurn:issn:0360-5442urn:issn:1873-6785Energy, 2016info:eu-repo/semantics/closedAccessclosedAccessQ1Responsible consumption and productionAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Bayesian seismic strong-motion response and damage estimation with application to a full-scale seven story shear wall structureKalil ErazoBabak MoaveniSatish NagarajaiahEarthquake shaking tableNonlinear systemStructural engineeringRobustness (evolution)CantileverEngineeringKalman filterContext (archaeology)GeologyComputer science2019eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.engstruct.2019.02.017Engineering StructuresEngineering Structuresurn:issn:0141-0296urn:issn:1873-7323Engineering Structures, 2019, vol. 186, p. 146-160info:eu-repo/semantics/closedAccessclosedAccessQ1Sustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Three rivers to the test: Lessons for global plastic transport modellingThomas ManiRonja EbnerStijn PinsonRatchanon PiemjaiswangAlexandra Marie MurrayMarkus SvenssonTim H.M. van EmmerikSuchana ChavanichCristina TroisCarlos SanlleyLaurent Lebretonriverine plastic transportplastic pollutionGPS drifterssurface transportationestuariesmass flux2026info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.envpol.2026.128428Environmental PollutionEnvironmental Pollutionurn:issn:0269-7491urn:issn:1873-6424Environmental Pollution, 2026info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.1016/j.envpol.2026.128428Q1pubmedClean water and sanitationClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Decarbonising the power sector of the Dominican Republic: An approach from electric mobility transitionDeyslen Mariano-HernandezJarrizon QuevedoMiguel Aybar-MejíaIdalberto Herrera MoyaGiuseppe Sbriz-ZeitunCarla CannoneMark HowellsRudolf Yeganyandecarbonizationelectric mobilityelectric utilitiesgreenhouse gas emissionsDominican Republiccoal phase-outenergy investmentOSeMOSYSenergy transition scenariosland transportenergy crisisclimate commitmentsThe electrical power and land transportation systems of the Dominican Republic are facing significant challenges due to growing demand in both sectors. These two systems are responsible for around 62% of greenhouse gas (GHG) emissions. With the deployment of electric mobility, the power and transport sectors can synergise and contribute significantly to long-term sustainable planning. This article analyses the impact of the penetration of electric mobility programmed by the Dominican Republic's National Institute of Transit and Land Transport (INTRANT), the country's goal of reducing GHG emissions by 27% by 2030 and the decarbonisation process. Using the open-source modelling system OSeMOSYS, four scenarios are built to explore strategies that contribute to sustainable development in the long term. Meeting climate change commitments necessitates that all coal-fired plants in the country will be closed or transformed by 2040. Despite the positive role of electric mobility in reducing GHG, decarbonising the electricity sector while facing the energy crisis requires investments totalling around 16 billion USD. Failing to make these investments will incur expenses of approximately 6 billion USD on the user's side in the period from 2024 to 2030 to cover energy needs; this figure represents more than 270% of the amount that should be invested in the electrical power system to supply these users' needs.2024eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.esr.2024.101357Energy Strategy ReviewsEnergy Strategy Reviewsurn:issn:2211-467Xurn:issn:2211-4688Energy Strategy Reviews, 2024, vol. 52, p. 101357info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.1016/j.esr.2024.101357Q1doajIndustry, innovation and infrastructureClimate actionAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal A review of strategies for building energy management system: Model predictive control, demand side management, optimization, and fault detect & diagnosisDeyslen Mariano-HernándezLuís Hernández-CallejoÁngel Zorita-LamadridÓscar Duque-PérezFélix Santos GarcíaEnergy managementEfficient energy useBuilding management systemZero-energy buildingEnergy engineeringArchitectural engineeringManagement systemElectricityControl (management)Energy management systemEnergy (signal processing)EngineeringEnvironmental economicsCivil engineeringOperations managementComputer science2021eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.jobe.2020.101692Journal of Building EngineeringJournal of Building Engineeringurn:issn:2352-7102Journal of Building Engineering, 2021, vol. 33, p. 101692info:eu-repo/semantics/openAccessopenAccesscc-by-nc-ndhttps://uvadoc.uva.es/bitstream/10324/64608/4/pre1-s2.0-S2352710220310627-main.pdfQ1Affordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Using panel data for modelling duration dynamics of outdoor leisure activitiesLissy La Paix PuelloSaidul ChowdhuryKarst Geursoutdoor recreationmixed logit modelmode choicetravel timewalking and cyclingpublic transportlife events2019info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.jocm.2018.03.003Journal of Choice ModellingJournal of Choice Modellingurn:issn:1755-5345Journal of Choice Modelling, 2019info:eu-repo/semantics/openAccessopenAccesshttps://ars.els-cdn.com/content/image/1-s2.0-S1755534517301161-fx1_lrg.jpgQ1Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal An offline approach for output-only Bayesian identification of stochastic nonlinear systems using unscented Kalman filteringKalil ErazoSatish NagarajaiahKalman filterNonlinear systemUnscented transformComputer scienceDivergence (linguistics)Extended Kalman filterPosterior probabilityMarkov chain Monte CarloRealization (probability)Control theory (sociology)System identificationStability (learning theory)Monte Carlo methodBayesian probabilityAlgorithmMathematicsEnsemble Kalman filterArtificial intelligenceMachine learningMeasure (data warehouse)2017eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.jsv.2017.03.001Journal of Sound and VibrationJournal of Sound and Vibrationurn:issn:0022-460Xurn:issn:1095-8568Journal of Sound and Vibration, 2017, vol. 397, p. 222-240info:eu-repo/semantics/closedAccessclosedAccessQ1Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal On the effectiveness of principal component analysis for decoupling structural damage and environmental effects in bridge structuresKalil ErazoDebarshi SenWei ZhangSatish NagarajaiahLimin SunClassification of discontinuitiesStructural health monitoringPrincipal component analysisStructural engineeringDiscontinuity (linguistics)Bridge (graph theory)Decoupling (probability)VibrationSensitivity (control systems)EngineeringComputer scienceMathematicsPhysics2019eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.jsv.2019.06.003Journal of Sound and VibrationJournal of Sound and Vibrationurn:issn:0022-460Xurn:issn:1095-8568Journal of Sound and Vibration, 2019, vol. 457, p. 280-298info:eu-repo/semantics/closedAccessclosedAccessQ1Industry, innovation and infrastructureInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Intrapersonal mode choice variation: Evidence from a four-week smartphone-based travel survey in the NetherlandsLissy La Paix PuelloTom ThomasKarst Geursmode choicetrip datamixed logit modelhabituationcommute tripsshort tripswalking and cyclingtravel behaviortravel purposetravel time2019info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.jtrangeo.2018.06.021Journal of Transport GeographyJournal of Transport Geographyurn:issn:0966-6923urn:issn:1873-1236Journal of Transport Geography, 2019info:eu-repo/semantics/openAccessopenAccesshttps://www.sciencedirect.com/science/article/pii/S0966692317301096Q1Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Modeling of the dominican republic energy systems with OSeMOSYS to assess alternative scenarios for the expansion of renewable energy sourcesJarrizon QuevedoIdalberto Herrera Moyarenewable energy deploymentenergy system modellingOSeMOSYSCO2 emissionsreserve marginfossil fuel import dependenceenergy policy targetselectricity demand2022info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.nexus.2022.100075Energy NexusEnergy Nexusurn:issn:2772-4271Energy Nexus, 2022info:eu-repo/semantics/openAccessopenAccesscc-by-nc-ndhttps://www.sciencedirect.com/science/article/pii/S2772427122000389/pdfdoajIndustry, innovation and infrastructureClimate actionAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Mangrove degradation and tourism-driven economic dynamics in a Caribbean SIDS: Evidence from a VECMVíctor Gómez-ValenzuelaKaterin RamírezSolhanlle Bonilla-Duartemangrove degradationtourismeconomic dynamicssmall island developing statesCaribbeanvector error correction modelcoastal ecosystem servicestourism-led growth2026eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.ocecoaman.2026.108293Ocean & Coastal ManagementOcean & Coastal Managementurn:issn:0964-5691urn:issn:1873-524XOcean & Coastal Management, 2026, vol. 280, p. 108293info:eu-repo/semantics/closedAccessclosedAccessQ1Decent work and economic growthLife on landInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal From standard to fractional structural visco-elastodynamics: Application to seismic site responseClaudia GermosoA. FraileEnrique AlarcónJosé Vicente AguadoFrancisco ChinestaViscoelasticityFlexibility (engineering)Fractional calculusFrequency responseAmplitudePhase angle (astronomy)Viscous dampingMathematicsMechanicsMathematical analysisComputer sciencePhysicsEngineeringVibrationAcoustics2017eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.pce.2016.01.005Physics and Chemistry of the EarthPhysics and Chemistry of the Earthurn:issn:1474-7065urn:issn:1873-5193Physics and Chemistry of the Earth, 2017, vol. 98, p. 3-15info:eu-repo/semantics/openAccessopenAccesscc-by-nc-ndhttp://oa.upm.es/46113/Q2Life in LandInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Reduction of operational restrictions of the transmission system in electrical systems through facts implementationDeyslen Mariano-HernándezMiguel Aybar-MejíaJ. BatistaK. DíazW. FernandezF. Reyes-RomeroEduardo De León-ConcepciónElectric power systemTransmission systemFlexible AC transmission systemVoltageLimit (mathematics)Transmission (telecommunications)Computer scienceElectric power transmissionGridAC powerReliability engineeringSoftwarePower (physics)Control theory (sociology)EngineeringElectrical engineeringPower flowControl (management)MathematicsOperational constraints cause an increase in complexity, operating cost, and environmental and socioeconomic impact on electrical systems; operational constraints can be due to power flow, voltage, or frequency deviations. These restrictions force the grid operator to perform unplanned actions. This article identifies the various Alternating Current Flexible Transmission Systems (FACTS) devices with their characteristics, attributes, and implementation methods to lessen operating constraints on isolated and relatively small transmission systems with frequent power flow limit violations and voltage deviations. The case study is carried out in the National Interconnected Electric System (SENI) of the Dominican Republic, where the Fast Stability Voltage Index is used as an indicator to see the impact of the implementation of FACT to mitigate the operational restrictions of the electric system. Simulations are performed in the PowerFactory DIgSILENT software to obtain the results when modeling the interconnected FACTS devices on the transmission lines. The use of FACTS reduces the loadability of transmission lines, which is an essential factor in the emergence of power flow control and voltage constraints in isolated power systems.2022eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.prime.2022.100047e-Prime - Advances in Electrical Engineering, Electronics and Energye-Prime - Advances in Electrical Engineering, Electronics and Energyurn:issn:2772-6711e-Prime - Advances in Electrical Engineering, Electronics and Energy, 2022, vol. 2, p. 100047info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.1016/j.prime.2022.100047doajInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Seismic vulnerability assessment of buried pipelines: A 3D parametric studyClaudia GermosoOmar Rodríguez GonzálezFrancisco ChinestaPipeline transportParametric statisticsPipeline (software)Computer scienceRepresentation (politics)Vulnerability (computing)Parametric modelCivil engineeringEngineeringPetroleum engineeringStructural engineeringMathematicsMechanical engineeringComputer securityPipeline structural analysis is a well-developed topic in engineering and research practice. Since water, oil or gas pipeline systems are a key part of modern development, therefore, it is important to ensure an appropriate behavior under seismic action. In this paper, the seismic response of buried pipelines is numerically simulated using a three-dimensional (3D) parametric model of soil-pipeline interaction. The role of several parameters on both soil and pipeline are incorporated into a 2D-1D space separated representation based on the Proper Generalized Decomposition (PGD) framework, which allows addressing 3D parametric problems while reducing the computational complexity of 1D and 2D characteristic problems. These results can be used for design, safety evaluation and protection of buried pipelines crossing seismic area and can be calculated in real time from the parametric solution of the associated problem within the PGD framework.2021eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.soildyn.2021.106627Soil Dynamics and Earthquake EngineeringSoil Dynamics and Earthquake Engineeringurn:issn:0267-7261urn:issn:1879-341XSoil Dynamics and Earthquake Engineering, 2021, vol. 143, p. 106627info:eu-repo/semantics/openAccessopenAccesscc-by-nc-ndhttps://www.sciencedirect.com/science/article/pii/S026772612100049X/pdfQ1Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Heat flux solarimeterI. SamsónA. SartarelliS. VeraR. EcharriE. Cyruliespyranometerheat flux measurementsolar irradianceglobal radiationlow-cost instrumentation2010info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.solener.2010.08.009Solar EnergySolar Energyurn:issn:0038-092Xurn:issn:1471-1257Solar Energy, 2010info:eu-repo/semantics/closedAccessclosedAccessQ1Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Techno-economic analysis of hybrid PV/T systems under different climate scenarios and energy tariffsDeyslen Mariano-HernándezJesús Armando Aguilar‐JiménezLuís Hernández-CallejoVíctor Alonso‐GómezN. VelázquezRicardo López-ZavalaA. AcuñaTRNSYSSubsidyInvestment (military)Environmental scienceEnvironmental economicsWork (physics)Photovoltaic systemSolar energyReturn on investmentProduction (economics)Energy (signal processing)Thermal energyMeteorologyComputer scienceThermalEconomicsEngineeringMicroeconomicsElectrical engineeringMathematics2020eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.solener.2020.10.079Solar EnergySolar Energyurn:issn:0038-092Xurn:issn:1471-1257Solar Energy, 2020, vol. 212, p. 191-202info:eu-repo/semantics/closedAccessclosedAccessQ1Climate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal An approach for applying blockchain technology in centralized electricity marketsD. Mariano-HernándezM. Domínguez-GarabitosM. Aybar-MejíaD. Rosario-Weeksblockchainelectricity market designpeer-to-peer energy tradingdecentralized energy tradingcommercial monopolyrenewable energyelectric mobility2021eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.tej.2021.106918Electricity JournalElectricity Journalurn:issn:1040-6190urn:issn:1873-6874Electricity Journal, 2021, vol. 34, n. 3, p. 106918info:eu-repo/semantics/closedAccessclosedAccessQ1Affordable and clean energyIndustry, innovation and infrastructureInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Measurement of non-random attrition effects on mobility rates using trip diaries dataLissy La Paix PuelloMarie-José Olde-KalterKarst T. Geurspanel attritiontrip ratestravel diariessurvey completenesslatent variable modelshybrid choice modeldiscrete choice modelsmode choicelife eventsresidential mobility2017info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.tra.2017.09.002Transportation Research Part A: Policy and PracticeTransportation Research Part A: Policy and Practiceurn:issn:0965-8564urn:issn:1879-2375Transportation Research Part A: Policy and Practice, 2017info:eu-repo/semantics/openAccessopenAccesshttps://www.sciencedirect.com/science/article/pii/S0965856416309600Q1Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Do changes in travellers’ attitudes towards car use and ownership over time affect travel mode choice? A latent transition approach in the NetherlandsLissy La Paix PuelloMarie-José Olde KalterKarst T. Geursmode choicecar usecar ownershipattitude change over timelatent class analysislife events2020info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.tra.2019.10.015Transportation Research Part A: Policy and PracticeTransportation Research Part A: Policy and Practiceurn:issn:0965-8564urn:issn:1879-2375Transportation Research Part A: Policy and Practice, 2020info:eu-repo/semantics/openAccessopenAccesshttps://www.sciencedirect.com/science/article/pii/S0965856418313673Q1Sustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Valuation of a transfer in a multimodal public transport tripLissy La PaixRik SchakenbosSandra NijensteinKarst T. Geursmultimodal public transporttransfer timeheadwaytravel timestation facilitiesstated preference valuationmixed logit modeltravel frequencytravel purposeonline surveys2016info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.tranpol.2015.11.008Transport PolicyTransport Policyurn:issn:0967-070Xurn:issn:1879-310XTransport Policy, 2016info:eu-repo/semantics/openAccessopenAccesshttps://www.sciencedirect.com/science/article/pii/S0967070X15300743Q1Sustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Potential uptake of adaptive transport services: An exploration of service attributes and attitudesLissy La Paix PuelloWietse te MorscheKarst T. Geursdemand-responsive transportflexible public transportservice attributesuser preferenceswillingness to paycar driversride-sharingdoor-to-door transportmixed logit modelstated choice experiment2019info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.tranpol.2019.09.001Transport PolicyTransport Policyurn:issn:0967-070Xurn:issn:1879-310XTransport Policy, 2019info:eu-repo/semantics/openAccessopenAccessother-oahttps://ris.utwente.nl/ws/files/139979246/1_s2.0_S0967070X18304645_main.pdfQ1Sustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Modelling the potential for cycling in access trips to bus, train and metro in Rio de JaneiroLissy La Paix PuelloFlavia de SouzaMark BrusselRomulo OrricoMartin van Maarseveencyclingbike-and-ridebus terminalrailway stationssubway stationsmode choicebarriers to cyclingsocioeconomic factorsbicycle ownershipcycling infrastructureparking conditionspublic safetydeveloping countriesRio de Janeiro2017info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.trd.2017.07.007Transportation Research Part D: Transport and EnvironmentTransportation Research Part D: Transport and Environmenturn:issn:1361-9209urn:issn:1879-2340Transportation Research Part D: Transport and Environment, 2017info:eu-repo/semantics/openAccessopenAccessother-oahttps://research.utwente.nl/en/publications/9af53fb9-5741-4d1a-8f57-714c817706daQ1Industry, innovation and infrastructureSustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal A model-based observer for state and stress estimation in structural and mechanical systems: Experimental validationKalil ErazoEric M. HernandezObserver (physics)Kalman filterControl theory (sociology)CantileverState observerCovarianceRandom vibrationAlpha beta filterShakerEngineeringMathematicsAlgorithmComputer scienceExtended Kalman filterStructural engineeringVibrationAcousticsStatisticsArtificial intelligence2014eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.ymssp.2013.10.011Mechanical Systems and Signal ProcessingMechanical Systems and Signal Processingurn:issn:0888-3270urn:issn:1096-1216Mechanical Systems and Signal Processing, 2014, vol. 43, n. 1-2, p. 141-152info:eu-repo/semantics/closedAccessclosedAccessQ1Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Vibration-based structural health monitoring under changing environmental conditions using Kalman filteringKalil ErazoDebarshi SenSatish NagarajaiahLimin SunResidualStructural health monitoringRobustness (evolution)Kalman filterVibrationProbability density functionComputer scienceControl theory (sociology)Biological systemAlgorithmStructural engineeringEngineeringMathematicsStatisticsAcousticsArtificial intelligencePhysics2019eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.ymssp.2018.07.041Mechanical Systems and Signal ProcessingMechanical Systems and Signal Processingurn:issn:0888-3270urn:issn:1096-1216Mechanical Systems and Signal Processing, 2019, vol. 117, p. 1-15info:eu-repo/semantics/closedAccessclosedAccessQ1Reduced inequalitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal A novel unscented Kalman filter for recursive state-input-system identification of nonlinear systemsKalil ErazoYing LeiDandan XiaSatish NagarajaiahKalman filterControl theory (sociology)Nonlinear systemUnscented transformIdentification (biology)Extended Kalman filterSystem identificationFilter (signal processing)Computer scienceDisplacement (psychology)Sensor fusionNonlinear system identificationAccelerationMeasure (data warehouse)Fast Kalman filterArtificial intelligencePhysicsComputer vision2019eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.ymssp.2019.03.013Mechanical Systems and Signal ProcessingMechanical Systems and Signal Processingurn:issn:0888-3270urn:issn:1096-1216Mechanical Systems and Signal Processing, 2019, vol. 127, p. 120-135info:eu-repo/semantics/closedAccessclosedAccessQ1Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal An extended model-based observer for state estimation in nonlinear hysteretic structural systemsKalil ErazoMilad RoohiDavid V. RosowskyEric M. HernandezObserver (physics)Nonlinear systemControl theory (sociology)EstimatorKalman filterExtended Kalman filterComputer scienceBenchmark (surveying)State observerAlpha beta filterMathematicsArtificial intelligence2021eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1016/j.ymssp.2020.107015Mechanical Systems and Signal ProcessingMechanical Systems and Signal Processingurn:issn:0888-3270urn:issn:1096-1216Mechanical Systems and Signal Processing, 2021, vol. 146, p. 107015info:eu-repo/semantics/closedAccessclosedAccessQ1Sustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Uncertainty Quantification for State Estimation in Nonlinear Structural SystemsKalil ErazoEric M. HernandezKalman filterEnsemble Kalman filterNonlinear systemRobustness (evolution)Extended Kalman filterInvariant extended Kalman filterControl theory (sociology)CovarianceEstimatorComputer scienceCovariance matrixPiecewiseCovariance intersectionNonlinear filterFilter (signal processing)AlgorithmMathematicsFilter designArtificial intelligenceStatisticsThis paper presents the application of state estimators in nonlinear structural systems. The objective is to provide a comparison of the effectiveness to reconstruct the state time history in nonlinear building-type structures of four existing algorithms - namely, extended Kalman filter, unscented Kalman filter, ensemble Kalman filter and the particle filter. We compare their accuracy under ideal conditions and their robustness to different types of modeling errors. The uncertainty in the estimate of the quantities of interest is described by their covariance matrix. The systems of interest are nonlinear frames, where the material nonlinearity is given by piecewise linear hysteretic force deformation functions.2014eninfo:eu-repo/semantics/conferenceObjectproceedings-articlehttps://doi.org/10.1061/9780784413609.150Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014, 2014, p. 1494-1503info:eu-repo/semantics/closedAccessclosedAccessSustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Bayesian Model–Data Fusion for Mechanistic Postearthquake Damage Assessment of Building StructuresKalil ErazoEric M. HernandezBayesian probabilityKalman filterProbabilistic logicMoment (physics)Computer scienceFrame (networking)Ensemble Kalman filterAccelerationRecursive Bayesian estimationExtended Kalman filterArtificial intelligencePhysicsThis paper presents a probabilistic framework for estimating seismic-induced damage in partially instrumented buildings. The proposed framework uses acceleration measurements at a limited number of stories and Bayesian filtering to estimate the response at all stories. The paper compares four Bayesian filters: the extended, unscented, and ensemble Kalman filters, and the particle filter. The estimated response throughout the building serves as input to a damage model that yields an estimate of structural damage and its uncertainty at all stories. The methodology is numerically verified in an elastoplastic 5-story shear building and in a 10-story inelastic moment-resisting frame under various types of model errors and minimal instrumentation. It was found that under ideal and mild modeling error conditions, the proposed methodology provides consistent estimates of damage and its uncertainty.2016eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1061/(asce)em.1943-7889.0001114Journal of Engineering MechanicsJournal of Engineering Mechanicsurn:issn:0733-9399urn:issn:1943-7889Journal of Engineering Mechanics, 2016, vol. 142, n. 9info:eu-repo/semantics/closedAccessclosedAccessQ1Sustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Uncertainty Quantification of State Estimation in Nonlinear Structural Systems with Application to Seismic Response in BuildingsKalil ErazoEric M. HernandezSensitivity (control systems)Parametric statisticsKalman filterNonlinear systemBayesian probabilityComputer scienceEnsemble Kalman filterIdeal (ethics)Uncertainty quantificationParticle filterFilter (signal processing)Control theory (sociology)AlgorithmMathematicsExtended Kalman filterEngineeringStatisticsArtificial intelligenceMachine learningThis paper presents the application of Bayesian filtering for the estimation and uncertainty quantification of interstory drifts and shears in partially instrumented buildings. We investigate the performance of four Bayesian filters: the extended, unscented, and ensemble Kalman filters, and the particle filter. The filters were compared in a simulation environment under ideal modeling and model error conditions. Computational efficiency, estimation accuracy and statistical error behavior of the filters was investigated. It was found that under ideal modeling conditions all the filters perform adequately. However, the filters exhibit significant sensitivity to parametric and nonparametric model errors. In the application studied, the sensitivity to parametric errors was nonsymmetric, with underestimation of model stiffness and yielding strength having a larger detrimental effect on the accuracy than overestimation of these parameters.2016eninfo:eu-repo/semantics/conferenceObjectproceedings-articlehttps://doi.org/10.1061/ajrua6.0000837ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil EngineeringASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineeringurn:issn:2376-7642ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 2016, vol. 2, n. 3info:eu-repo/semantics/closedAccessclosedAccessSustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Parameter Estimation of Stochastic Fractional Dynamic Systems Using Nonlinear Bayesian Filtering System Identification MethodsKalil ErazoAlberto Di MatteoPol D. SpanosControl theory (sociology)Kalman filterNonlinear systemNoise (video)Context (archaeology)Extended Kalman filterFilter (signal processing)System identificationComputer scienceEstimation theoryMathematicsIdentification (biology)Nonlinear filterAlgorithmFilter designStatisticsArtificial intelligenceData modelingThis paper presents the application of nonlinear Bayesian filtering–based system identification (SI) methods when employed to estimate the parameters of stochastic fractional dynamic systems. The objective is to demonstrate the capabilities and limitations of time-domain stochastic filtering–based SI for systems endowed with fractional derivative elements when the estimation is performed under different operating conditions. The conditions include measured forcing inputs (input-output identification), stochastic/unmeasured forcing inputs (output-only identification), and different types of measurements and levels of measurement noise, in the context of both linear and hysteretic fractional oscillators. The accuracy and estimation error of three methods was studied, namely, the unscented Kalman filter, the ensemble Kalman filter, and the particle filter. Baseline results that can be applied to the modeling, identification, and control of fractional structural and mechanical systems are provided. It is shown that nonlinear Bayesian filtering methods have the capability to accurately estimate the response and parameters of fractional oscillators, and that the coefficient and order of fractional elements are observable/identifiable from output response measurements.2024eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1061/jenmdt.emeng-7482Journal of Engineering MechanicsJournal of Engineering Mechanicsurn:issn:0733-9399urn:issn:1943-7889Journal of Engineering Mechanics, 2024, vol. 150, n. 2info:eu-repo/semantics/closedAccessclosedAccessQ1Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Stochastic Analysis of Fractional Structural Systems Subjected to Fractional Ground MotionsKalil ErazoPol D. SpanosFractional Brownian motionCovarianceStructural systemDissipationSuperposition principleFractional calculusStochastic processDiscretizationLinear systemIn this paper, the nonstationary stochastic response of fractional structural systems subjected to fractional excitations is examined. Fractional operators provide an effective mathematical construct to model energy dissipation and stiffness–damping coupling mechanisms that cannot be modeled by integer operators. In particular, the memory property of fractional operators makes them suitable for treating the non-Markovian features exhibited by systems with path-dependent responses, such as the damping and stiffness mechanisms in structural systems and soils under dynamic loading. In this paper, particular attention is devoted to fractional structural systems excited by a proposed stochastic ground motion model consisting of a nonstationary filtered fractional Kanai–Tajimi process, thus accounting for path-dependent energy dissipation in both the structure and the seismic waves’ propagating medium. The work attempts to elucidate the sensitivity and effects on probabilistic structural response predictions due to non-Markovian features in the excitation when both the system and the excitation are modeled using fractional operators. To analyze the fractional operators describing the structure and soil, the operators are discretized and approximated as the superposition of the solutions of a system of linear first-order ordinary differential equations, which, together with the system dynamics equations, are transformed into an equivalent first-order linear state-space model. The stochastic response evaluation for the system is conducted in closed form by solving the associated Lyapunov covariance equation. The analytical results from stochastic analyses are juxtaposed with pertinent Monte Carlo simulations to demonstrate the accuracy of the proposed method. Validation results using measured data from the 2023 Turkey–Syria earthquake demonstrated that the recorded ground motions exhibit fractional features with an energy rate of decay in the spectral density that is captured more accurately by the proposed fractional model than the traditional integer Kanai–Tajimi model.2026eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1061/jenmdt.emeng-8901Journal of Engineering MechanicsJournal of Engineering Mechanicsurn:issn:0733-9399urn:issn:1943-7889Journal of Engineering Mechanics, 2026, vol. 152, n. 8info:eu-repo/semantics/closedAccessclosedAccessQ1Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Seismic Response Estimation and Performance Assessment of Large-Scale Structures Using Deep-Learning MethodsKalil ErazoJacob A. MorganOral BüyüköztürkRobustness (evolution)Artificial neural networkNonlinear systemEarthquake shaking tableConvolutional neural networkContext (archaeology)Earthquake engineeringExperimental dataApplications of machine learning (ML) in structural engineering and mechanics have increased substantially in recent years. Interest in ML stems from its potential to handle complex problems with increased accuracy and/or computational efficiency compared with traditional methods when a sufficient amount of data is available. This study explored the application of deep neural networks to seismic response and damage estimation for large-scale civil structures in the context of performance-based earthquake engineering. The objective was to experimentally validate the accuracy and efficiency of modified versions of the long short-term memory (LSTM) neural network and the physics-guided convolutional neural network (PhyCNN) in structures subjected to base excitations in linear and nonlinear response regimes. In particular, the robustness of the methods to predict the response and state of integrity of structures undergoing severe damage due to strong base motions when the methods are trained using limited low-amplitude linear input–output data was assessed. The performance and predicting capabilities of the methods were evaluated using experimental data from two full-scale case studies: a six-story building structure in San Bernardino, California, instrumented as part of the California Strong Motion Instrumentation Program (CSMIP), and a seven-story full-scale shear wall structure tested on the high-performance outdoor shake table at the University of California at San Diego. The results show that deep neural networks have limited robustness when applied to estimate response features outside the training domain, with a significant reduction in the prediction accuracy if the level of nonlinearity for prediction is higher than in the training data set.2026eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1061/jsendh.steng-14737Journal of Structural EngineeringJournal of Structural Engineeringurn:issn:0733-9445urn:issn:1943-541XJournal of Structural Engineering, 2026, vol. 152, n. 2info:eu-repo/semantics/closedAccessclosedAccessQ1Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Role of perception of bicycle infrastructure on the choice of the bicycle as a train feeder modeLissy La PaixElisabetta CherchiKarst Geurscycling infrastructurelatent variablestravel time and costhybrid choice modelDen HaagRotterdam2021info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1080/15568318.2020.1765223International Journal of Sustainable TransportationInternational Journal of Sustainable Transportationurn:issn:1556-8318urn:issn:1556-8334International Journal of Sustainable Transportation, 2021info:eu-repo/semantics/openAccessopenAccesscc-by-nc-ndhttps://www.tandfonline.com/doi/pdf/10.1080/15568318.2020.1765223?needAccess=trueQ1Industry, innovation and infrastructureSustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Mapping the impacts of hurricanes Maria and Irma on banana production area in the Dominican RepublicSolhanlle Bonilla DuarteVarun VarmaWilliam ThompsonPius KrütliJohan SixDaniel P BebberHurricane MariaHurricane Irmabanana productionflood riskorganic bananaagricultural recoveryDominican Republic2020info:eu-repo/semantics/preprintpreprinthttps://doi.org/10.1101/2020.09.20.304899bioRxiv (Cold Spring Harbor Laboratory)bioRxiv (Cold Spring Harbor Laboratory)bioRxiv (Cold Spring Harbor Laboratory), 2020info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.biorxiv.org/content/biorxiv/early/2020/09/20/2020.09.20.304899.full.pdfZero hungerClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Demand-Shifting Strategies to Optimize the Perform ice of the Wholesale Electricity Market: A Dominican Republic Study CaseMaximo A. Dominguez-GarabitosMiguel Aybar-MejiaVictor S. Ocana-GuevaraFelix Santos-GarciaAdriana Arango-Manriquedemand responsedemand shiftingwholesale electricity marketelasticity of substitutionrenewable energy integrationgeneration dispatchmarginal costpeak shavingenergy transitionThe dimensions of the costs and incentives necessary for integrating demand response into the wholesale electricity market are subject to energy policies and bulk system operation. The electricity industry must gain operational flexibility to support the energy transition caused by renewable energy and decarbonization. Complementary services and technologies of demand response programs can be optimized by exploiting the variety of uses of this resource. The main objective of this work is to apply the concept of elasticity of substitution in a strategic demand shift program to promote the integration of renewable energies and the reduction of non-served power, considering an economical and safe generation dispatch. The methodology is analyzed through a case study applied in the Dominican Republic’s electricity market, in which the elasticity of substitution coefficients is used to adjust variations below 10.49% of the base demand in the peak period. These variations reduce the generation operating cost by 8.4%, marginal cost by 30.19%, and non-served power by 19.1% when renewable energy increases by 5%. The inclusion of the cost of CO2emissions in the simulation of the operating cost function makes the objective function higher than the baseline function. For relative variations in operating cost ranging from 7.27% to 16.03%, the reduction in tons of CO2equivalent varies from 2.77 to 28.02. This study contextualizes the economic effect of the CO2emissions control, giving new possibilities to optimize system operation and the wholesale electricity market based on demand response programs that encourage flexible consumption, with favorable economic and environmental results.2022eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1109/access.2022.3169696IEEE AccessIEEE Accessurn:issn:2169-3536IEEE Access, 2022, vol. 10, p. 44362-44383info:eu-repo/semantics/openAccessopenAccesscc-byhttps://ieeexplore.ieee.org/ielx7/6287639/9668973/09761863.pdfQ1doajAffordable and clean energyClimate actionIndustry, innovation and infrastructureInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Adaptive protection proposal to interconnect isolated microgrid to main electric grid: Case study of Pedernales provinceDeyslen Mariano-HernandezArmando José Taveras CruzElvin Arnaldo Jiménez MatosMiguel Aybar-MejíaJesús C. Hernandezadaptive protectionmicrogrid interconnectiondistributed energy resourcesrenewable energybattery energy storagegrid stabilityfrequency regulationpower system protectionislanded gridDominican RepublicWith the introduction of the Cabo Rojo project the province of Pedernales will see unprecedented growth in economic activity, population and consequently energy consumption. For that matter it is of great importance that the energy supply matrix is sufficiently expanded to address the future needs of its inhabitants and the soon thriving local tourism industry. This expansion should see greater use of distributed energy resources, especially renewables, to improve the resiliency of the energy sources and its power distribution grid. Being currently isolated from the main national grid, the Pedernales grid provides a special opportunity to study the performance of a small traditional grid to smart microgrid conversion, with presence of multiple types distributed energy resources and the application of an adaptive protection strategy in the Dominican Republic. The intent of this research is to analyze the viability of interconnecting the Pedernales grid to the main grid, increase the distributed energy resources with renewables and battery storage, while maintaining adequate electrical protection. The main grid, the Pedernales microgrid and battery models were simulated using the PowerFactory DIgSILENT software. The results of the study show the response of the adaptive protection as compared to the non-adaptive solution. Here the adaptive protection strategy provided greater grid stability than the traditional approach by preventing frequency increases above 62Hz.2023eninfo:eu-repo/semantics/conferenceObjectproceedings-articlehttps://doi.org/10.1109/c358072.2023.104361441st IEEE Colombian Caribbean Conference, C3 20231st IEEE Colombian Caribbean Conference, C3 20231st IEEE Colombian Caribbean Conference, C3 2023, 2023, p. 1-6info:eu-repo/semantics/closedAccessclosedAccessIndustry, innovation and infrastructureAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal A Machine Learning Approach to Forecasting Energy Consumption at Electric Vehicle Charging StationsMiguel Aybar-MejiaDeyslen Mariano-HernandezDavid Aquino-OsorioArmando Jose Taveras CruzEdwin Sanchez-CamiloAli Bassamelectric vehicle charging demand forecastingelectric vehicle charging stationspeak demand forecastingcharging sessionsXGBoostrandom forestLSTMARIMAlinear regressiongrid stabilityenergy planningThe growing adoption of electric vehicles (EVs) presents challenges for energy providers in managing demand and optimizing charging infrastructure. Accurate forecasting of EV charging demand is crucial to prevent grid overloads and efficiently allocate resources. This paper evaluated various models ARIMA, Linear Regression (LR), XGBoost, Random Forest (RF), and Long Short-Term Memory (LSTM) to predict EV charging demand at stations during working hours. The study utilized a dataset of 3,395 charging sessions from November 2014 to October 2015, involving 85 drivers and 105 stations across 25 sites. After data preprocessing, including anomaly correction and feature engineering, the models were assessed. LR and LSTM models proved more accurate for peak demand forecasting, while RF and XGBoost models performed better for overall forecasting, achieving mean absolute errors of 10.48 and 10.56, respectively. This methodology offers a valuable tool for energy providers, aiding in resource planning, optimization, and enhancing grid stability and efficiency.2025info:eu-repo/semantics/conferenceObjectproceedings-articlehttps://doi.org/10.1109/camsap66162.2025.114239662025 IEEE 10th International Workshop on Computational Advances in Multi Sensor Adaptive Processing Camsap 2025 Proceedings2025 IEEE 10th International Workshop on Computational Advances in Multi Sensor Adaptive Processing Camsap 2025 Proceedings2025 IEEE 10th International Workshop on Computational Advances in Multi Sensor Adaptive Processing Camsap 2025 Proceedings, 2025, p. 151-155info:eu-repo/semantics/closedAccessclosedAccessIndustry, innovation and infrastructureAffordable and clean energyClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Iot Applications in Distributed Generation: Integration with Artificial Intelligence, Blockchain, and Communication Protocols for Secure and Resilient NetworksDeyslen MarianoMiguel Aybar-MejíaArmando José Taveras CruzWilliam Alfredo Ruiz PortorrealFrancisco José Peralta PolancoCaroline Georgina de los SantosEduardo Enrique Espinosa NeiraLuis Fernando Grisales NoreñaInternet of Thingsdistributed generationartificial intelligenceblockchaincommunication protocolspower system securitygrid resiliencerenewable energy integration2026info:eu-repo/semantics/conferenceObjectproceedings-articlehttps://doi.org/10.1109/cce72160.2026.11734951International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 2026info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.1109/cce72160.2026.11734951Industry, innovation and infrastructureInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Differential adaptive protection proposal to interconnect isolated microgrid to the primary electric grid: A case study in the Pedernales provinceDeyslen Mariano-HernándezMiguel Aybar-MejíaArmando J Taveras-CruzJavier Aquino EspinalDavid González PolancoElvin Arnaldo Jiménez MatosFabio AndradeIván Jhonson MateoCarlos R. BaierJesús C. Hernandezmicrogrid interconnectionisolated microgriddistributed renewable energy resourcesbattery energy storagegrid stabilityDifferential adaptive protections considerably improve the resiliency of the electrical microgrid power system, mitigating electrical failures and increasing its flexibility, ensuring the electrical energy supply remains available. The purpose of the paper is to analyze the behavior and, therefore, its suitability as compared to conventional differential protections under multiple fault conditions, the introduction of distributed renewable energy resources, battery storage, and the connection to the main national electric grid for the Pedernales province, in the Dominican Republic, distribution network as a microgrid. The above is highly interesting when one knows how critical electrical protections are in power systems for both low- and high-voltage microgrid systems. Additionally, the frequency behavior is analyzed with the use of a battery energy storage system activated by an adaptive protection scheme. The grid infrastructure is simulated with the PowerFactory DIgSILENT software. In this work, the differential adaptive protection scheme provided better grid stability and a greater than 10 times faster response when compared to the conventional differential protection solution.2024eninfo:eu-repo/semantics/conferenceObjectproceedings-articlehttps://doi.org/10.1109/icsmartgrid61824.2024.1057807912th International Conference on Smart Grid, icSmartGrid 202412th International Conference on Smart Grid, icSmartGrid 202412th International Conference on Smart Grid, icSmartGrid 2024, 2024, p. 78-83info:eu-repo/semantics/closedAccessclosedAccessIndustry, innovation and infrastructureAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Design of an Interconnected Microgrid for the Electrification of San Pablo II Community: Case of Study Dominican RepublicRene Baez SantanaDeyslen Mariano-HernandezMiguel Euclides Aybar MejiaEduardo de Leon ConcepcionAlejandro Arias MartijenaAlexis Castillo RuizDavid Lavandier MendozaEdwin Cadet Fabal Suerointerconnected microgridsoff-grid electrificationphotovoltaic generationlithium-ion battery storagetechno-economic feasibilityHomerDIgSILENTenergy costsenergy availabilityvoltage profilepower lossesUniversal access to electrical energy, specifically non-polluting energy, is one of the United Nations Organization Sustainable Development Goals, due to its impact on human and economic development. Even with the significant advances in the electricity sector in the Dominican Republic, there are sectors of the population without access to electricity, as is the case of the San Pablo 2 community in the municipality of La Victoria in Santo Domingo Norte. This article proposes using an interconnected microgrid, with photovoltaic (PV) solar generation and a storage system with lithium-ion batteries for the electrification of San Pablo 2 and the determination of the technical-economic feasibility of the proposed microgrid design using the HOMER and DIgSILENT. The results show the microgrid's optimal configuration, considering the net present cost, leveled cost of energy, and energy availability. Similarly, the distribution of the components and loads to obtain a voltage behavior and a technically acceptable margin of losses.2020eninfo:eu-repo/semantics/conferenceObjectproceedings-articlehttps://doi.org/10.1109/isc251055.2020.92390932020 IEEE International Smart Cities Conference (ISC2)2020 IEEE International Smart Cities Conference (ISC2)2020 IEEE International Smart Cities Conference (ISC2), 2020, p. 1-8info:eu-repo/semantics/closedAccessclosedAccessAffordable and clean energyIndustry, innovation and infrastructureSustainable cities and communitiesClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Application of electric vehicles for primary frequency regulation serviceDeyslen Mariano-HernandezMiguel Euclides Aybar MejiaElvin Arnaldo Jimenez-MatosMaximo Dominguez-GarabitosAlejandro Velazquez-KranwinkelEduardo Paredes-LirianoAlfredo Victoria-MotaIsaac-Gabriel Ceballos-JimenezJuan Edwards-Sotoelectric vehiclesvehicle-to-gridprimary frequency controlfrequency regulationpower system frequency stabilityMonte Carlo simulationIn the electricity system, the frequency behavior is an indicator of the quality of the service provider that expresses the equilibrium between the supply and demand of electricity. Demand presents challenging to predict behavior, which means that usually, the balance is corrected through changes in a generation. The operators rely on generation plants that must keep 3% of their power available for regulation. With the increase in electric vehicles (EV) and the growing vehicle-to-grid (V2G) technology, the frequency regulation service could be supplemented and mitigated by generators. This research aims to analyze the viability and feasibility of the use of V2G technology as a complementary service to primary frequency regulation. The battery model of electric vehicles with the necessary components for its operation in V2G was simulated using the PowerFactory DIgSILENT software. A single bank with all the power connected to a system Monte Carlo simulation of a single bank was carried out with all the power connected to a system bus to simulate the entire fleet of electric vehicle batteries and know how much power was always available. The results obtained in the simulations show that theso of the EVs in the primary frequency regulation does not allow sudden changes in frequency in the electrical system.2021eninfo:eu-repo/semantics/conferenceObjectproceedings-articlehttps://doi.org/10.1109/isgtlatinamerica52371.2021.95430762021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 20212021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 20212021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021, 2021, vol. 34, p. 1-5info:eu-repo/semantics/closedAccessclosedAccessIndustry, innovation and infrastructureAffordable and clean energyClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Modelling and Validation of Solar Adsorption Refrigeration SystemInna SamsonMariella MateoNatalia SavchenkovaRodolfo Echarrisolar adsorption refrigerationadsorption refrigerationsystem modelingmodel validationprototype testingsolar cooling2019info:eu-repo/semantics/conferenceObjectproceedings-articlehttps://doi.org/10.1109/reepe.2019.8708774Proceedings of the 1st IEEE 2019 International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE 2019Proceedings of the 1st IEEE 2019 International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE 2019Proceedings of the 1st IEEE 2019 International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE 2019, 2019info:eu-repo/semantics/closedAccessclosedAccessAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Nonlinear Soil Response via Harmonic-Modal Hybrid ApproachClaudia GermosoFrancisco ChinestaJuan AracenaNonlinear systemModalHarmonicHarmonic analysisAcousticsComputer scienceMaterials sciencePhysicsEngineeringElectronic engineeringComposite materialNon-linear behaviour of soils during a seismic event has a predominant role in current site response analysis.Soil response analysis consistently indicates that the stress-strain relationship of soils is non-linear and shows hysteresis.An equivalent linearization method, in which non-linear characteristics of shear modulus and damping factor of soils are modeled as equivalent linear relations of the shear strain is usually applied, but this assumption, however, may lead to a conservative approach of the seismic design.In this paper, we propose a new harmonic analysis formulation, able to address forced response simulation of soils exhibiting their characteristic nonlinear behavior.A possibility for represent this non-linear analysis consist in combining modal and harmonic analysis for defining an hybrid integration scheme.2020eninfo:eu-repo/semantics/conferenceObjectproceedings-articlehttps://doi.org/10.11159/icgre20.128The World Congress on Civil, Structural, and Environmental EngineeringThe World Congress on Civil, Structural, and Environmental Engineeringurn:issn:2371-5294The World Congress on Civil, Structural, and Environmental Engineering, 2020info:eu-repo/semantics/openAccessopenAccesshttps://doi.org/10.11159/icgre20.128Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal A 2D Nonlinear Soil Response Based On the Influence of Vertical Component in Near-Fault ConditionsClaudia GermosoLuis PlaceresArmando Lucio SimonelliAugusto PennaDiletta AlipertiComponent (thermodynamics)Nonlinear systemFault (geology)GeologyEnvironmental scienceComputer scienceGeotechnical engineeringSeismologyPhysicsThermodynamics2023eninfo:eu-repo/semantics/conferenceObjectproceedings-articlehttps://doi.org/10.11159/icgre23.112The World Congress on Civil, Structural, and Environmental EngineeringThe World Congress on Civil, Structural, and Environmental Engineeringurn:issn:2371-5294The World Congress on Civil, Structural, and Environmental Engineering, 2023info:eu-repo/semantics/openAccessopenAccesshttps://doi.org/10.11159/icgre23.112Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Seismic Vulnerability Assessment of the Municipality of Santo Domingo Este, Dominican RepublicClaudia GermosoOmar GonzálezJosé MuñózB. BenitoBeknur OmarbekovVulnerability (computing)Vulnerability assessmentGeographySeismologyPolitical scienceComputer scienceGeologyComputer securityPsychology2023eninfo:eu-repo/semantics/conferenceObjectproceedings-articlehttps://doi.org/10.11159/icgre23.129The World Congress on Civil, Structural, and Environmental EngineeringThe World Congress on Civil, Structural, and Environmental Engineeringurn:issn:2371-5294The World Congress on Civil, Structural, and Environmental Engineering, 2023info:eu-repo/semantics/openAccessopenAccesshttps://doi.org/10.11159/icgre23.129Climate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Local Seismic Response Analysis Based On the Non-Linear Soil Behavior. Application to 5 Essential Buildings in Santiago de los CaballerosClaudia GermosoRafael MarmolejosAlnura OmarbekovaComputer scienceEnvironmental scienceArchitectural engineeringGeologyEngineering2023eninfo:eu-repo/semantics/conferenceObjectproceedings-articlehttps://doi.org/10.11159/icgre23.138The World Congress on Civil, Structural, and Environmental EngineeringThe World Congress on Civil, Structural, and Environmental Engineeringurn:issn:2371-5294The World Congress on Civil, Structural, and Environmental Engineering, 2023info:eu-repo/semantics/openAccessopenAccesshttp://dx.doi.org/10.11159/icgre23.138Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal On-line response and damage estimation of a shear wall structure tested on a shake table using Bayesian filteringKalil ErazoSatish NagarajaiahEarthquake shaking tableShear wallAccelerationBayesian probabilityResponse analysisStructural engineeringComputer scienceEngineeringArtificial intelligencePhysicsThis paper presents the application of a probabilistic method to estimate the complete dynamic response and state of damage of a large-scale structural system subjected to strong base excitations. The structure considered consists of a sevenstory slice of a shear wall building tested at the George E. Brown Jr. Network for Earthquake Engineering Simulation site at the University of California at San Diego. The acceleration response measured at limited locations is combined with a nonlinear model to estimate the complete dynamic response at unmeasured degrees of freedom. To improve the predicting capability of the mathematical model a subset of the parameters is jointly estimated with the response, a strategy known as joint state-parameter estimation or augmented state estimation. The estimated response is used to compute a damage index as a quantitative measure of damage.2019eninfo:eu-repo/semantics/conferenceObjectproceedings-articlehttps://doi.org/10.1117/12.2527936Proceedings of SPIE - The International Society for Optical EngineeringProceedings of SPIE - The International Society for Optical EngineeringProceedings of SPIE - The International Society for Optical Engineering, 2019, vol. 2, p. 114info:eu-repo/semantics/closedAccessclosedAccessInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Structural health monitoring of civil infrastructure using applied recursive bayesian estimation methodsKalil ErazoSatish NagarajaiahEstimationBayesian probabilityComputer scienceEconometricsEngineeringArtificial intelligenceMathematicsSystems engineering2022eninfo:eu-repo/semantics/bookPartbook-chapterhttps://doi.org/10.1142/9789811243011_0006Recent Developments In Structural Health Monitoring And Assessment - Opportunities And Challenges: Bridges, Buildings And Other InfrastructuresRecent Developments In Structural Health Monitoring And Assessment - Opportunities And Challenges: Bridges, Buildings And Other InfrastructuresRecent Developments In Structural Health Monitoring And Assessment - Opportunities And Challenges: Bridges, Buildings And Other Infrastructures, 2022, p. 171-195info:eu-repo/semantics/closedAccessclosedAccessIndustry, innovation and infrastructureInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Microbial Profiling and Biosafety Assessment of a Sargassum-Based Liquid Biofertilizer Using 16S rRNA MetagenomicsYaset Rodríguez-RodríguezUlises Javier Jáuregui-HazaEdian F. FrancoAshley Marie Mejía DislaMáximo Elías Reynoso OrtegaGustavo GandiniPamela Tejada-TejadaMiguel Ángel GuevaraCarlos Willian Dias DantasRommel T. RamosSargassumliquid biofertilizerseaweed biomassmicrobial diversitybiosafety assessment16S rRNA metagenomicsStaphylococcusbacilliFirmicutesProteobacteriaheavy metalsintegrated nutrient managementtropical agricultureSargassum seaweed is increasingly abundant in the Caribbean, creating ecological disruption but also providing biomass for agricultural inputs. This study compares the microbial diversity and safety of a Sargassum ‐based liquid biofertilizer (SBLB‐INTEC) with those of a conventional product (LB‐BANELINO) using 16S rRNA amplicon sequencing, rather than culture‐dependent methods. Both formulations contained key nutrients (K, Ca, and Mg) and low levels of heavy metals. They harbored dense but relatively simple bacterial communities dominated by Firmicutes, particularly Bacilli, with Proteobacteria and other phyla at lower abundances. Staphylococcus (Staphylococcaceae) was highly abundant in both products, while SBLB‐INTEC showed a somewhat more balanced community, including Delftia and other Comamonadaceae. Shannon diversity tended to be higher in SBLB‐INTEC, but differences in alpha‐ and beta‐diversity between formulations were not statistically significant. Because 16S data cannot distinguish viable from nonviable cells or resolve strain‐level pathogenicity, these results do not prove the absence of pathogens; instead, they provide a genus‐level baseline to guide targeted culture, qPCR, and functional assays. Overall, the combination of a favorable chemical profile and microbial groups commonly associated with nutrient cycling and plant‐associated functions suggests that SBLB‐INTEC could become a valuable component of integrated nutrient management in tropical agriculture, offering hope for a more sustainable future pending confirmatory plant‐response and biosafety studies. We recommend integrating these microbial data into a national biofertilizer monitoring framework, combining metagenomic surveys with targeted qPCR and resistance gene screening.2026eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1155/ijm/3219583International Journal of MicrobiologyInternational Journal of Microbiologyurn:issn:1687-918Xurn:issn:1687-9198International Journal of Microbiology, 2026, vol. 2026, n. 1, p. 3219583info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.1155/ijm/3219583Q1doajpubmedZero hungerInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Securing the EV Charging Ecosystem: Protocol‐Level Vulnerabilities, Defenses, and a Research RoadmapGiuseppe Sbriz-ZeitunDeyslen Mariano-HernandezMiguel Aybar-MejíaSamil CuevasHipólito EncarnaciónLarimar AbelJarlen PichardoKasumi YasuokaArmando J. Taveras-CruzFabio Andrade RengifoJesús De la Casa Hernándezelectric vehicle chargingelectric vehicle charging infrastructurecybersecurityCAN busISO 15118ISO 26262IEC 61850vehicle-to-everything communicationman-in-the-middle attacksdenial-of-service attackstampering attackspersonal data protectionelectric mobilityElectric mobility offers promising benefits in sustainability and efficiency but also presents significant cybersecurity challenges that threaten the integrity of electric vehicles (EVs), charging infrastructure, and their communication systems. This article reviews the main threats, vulnerabilities, and existing mitigation strategies, identifying critical weaknesses in communication protocols, insufficient protection of charging stations, and limited onboard security. Notably, protocols such as CAN bus, OCPP, and ISO 15118 dominate current implementations; however, many of these protocols lack comprehensive protection mechanisms. Among the most frequent attacks are tampering, denial‐of‐service (DoS), and man‐in‐the‐middle attacks, which often target communication systems and charging points—the most vulnerable elements in the ecosystem. The review also highlights underexplored but critical issues, including the low adoption of protocols such as ISO 26262 and IEC 61850, the security of V2X communications, and the protection of personal data generated by EVs. The article makes a main contribution by proposing a cybersecurity reference architecture and a strategic research roadmap to enhance resilience in electric mobility systems. These tools aim to address current gaps, promote the development of secure and adaptive communication frameworks, and support both academic research and industrial implementation in the transition to intelligent and connected mobility.2025eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1155/jece/5770202Journal of Electrical and Computer EngineeringJournal of Electrical and Computer Engineeringurn:issn:2090-0147urn:issn:2090-0155Journal of Electrical and Computer Engineering, 2025, vol. 2025, n. 1info:eu-repo/semantics/openAccessopenAccesscc-byhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/jece/5770202Q2doajIndustry, innovation and infrastructureInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Understanding Governance in the Jaragua-Bahoruco-Enriquillo Biosphere Reserve: An Empirical ApproachVíctor Gómez-ValenzuelaSolhanlle Bonilla-DuarteHarro Van LenteKaterin Ramírezstakeholder engagementcoordination mechanismsnatural resource managementlandscape mosaicDominican RepublicReservas forestalesReservas naturalesConservación de los recursos naturalesDesarrollo sostenibleBackground and research aim: This paper analyses the governance in the Jaragua-Bahoruco-Enriquillo Biosphere Reserve (RBJBE), located in the southwest of the Dominican Republic along the borders with the Republic of Haiti. Methods: Construction and validation of an integrated scale of good governance and its subsequent analysis using factorial methods were carried out to identify good governance factors, and then regression analysis was performed. Results: Participation and coordination mechanisms are key factors in explaining governance of the biosphere reserve and critical factors in supporting a transition from an AINH (as if nothing happened) governance mode to good governance . Conclusion: The RBJBE operates in an AINH governance mode with opportunities to improve by promoting more qualified stakeholders' participation. It effectively facilitates interaction between stakeholders who share a diverse landscape mosaic, considering their interests, perspectives, and knowledge of natural resources. Implications for conservation: Considering the AINH governance in the RBJBE context and extending it to similar BR scenarios in Latin America and the Caribbean, one key implication focuses on implementing effective participation mechanisms and social engagement of stakeholders, as well as improving zoning and land use planning strategies linked to a more integrative landscape approach to conservation and local development objectives.2023eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1177/19400829231218653Tropical Conservation ScienceTropical Conservation Scienceurn:issn:1940-0829Tropical Conservation Science, 2023, vol. 16info:eu-repo/semantics/openAccessopenAccesscc-by-nchttps://journals.sagepub.com/doi/pdf/10.1177/19400829231218653Q2Life on landInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Evaluation of primary frequency regulation in Dominican Republic mine using scooptrams and electric trucks as battery storage systemsMiguel Aybar-MejíaArismendy José Del OrbeJosé Gabriel Durán GarcíaDeyslen Mariano-HernándezElvin Arnaldo Jiménez MatosGiuseppe Sbriz-ZeitunMáximo Alberto Domínguez GarabitosJesús Mercedesprimary frequency controlvehicle-to-gridbattery electric trucksmine electrical systemspower system stabilityancillary servicesThe use of electric vehicles in the mining sector aligns with the growing demand for tools that reduce energy consumption in productive processes. This study investigates how electric mining vehicles with vehicle-to-grid (V2G) technology can be integrated into power grids to improve system stability and frequency regulation. In the context of mining operations and the provision of auxiliary services (such as primary frequency regulation) to an interconnected electrical system, a regulatory framework that enables V2G integration should be established. This issue is addressed through a case study involving DIgSILENT PowerFactory simulations. The goal is to evaluate the productive process of a mine and the contribution of V2G technology to the primary frequency regulation of the electrical system under different scooptram integration parameters and battery electric trucks. This study also explores the challenges of V2G implementation in the absence of a regulatory framework. Different configurations of electric scooptrams and shovel that can affect frequency regulation are assessed. The obtained optimal configuration involves two truck loaders and three shovel loaders; the capacity of the current electrical infrastructure can support this configuration without affecting the capacity of the mine's electrical system. The simulations verify that applying V2G technology to mining vehicles helps stabilise the frequency of electrical systems and reduces the probability of component failure.2024eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1177/27533735241262475Renewable EnergiesRenewable Energiesurn:issn:2753-3735Renewable Energies, 2024, vol. 2, n. 2info:eu-repo/semantics/openAccessopenAccesscc-by-nchttps://doi.org/10.1177/27533735241262475Industry, innovation and infrastructureAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal The potential of active technologies to enhance the sustainability of existing buildingsDeyslen Mariano-HernándezMiguel Aybar-MejíaGiuseppe Sbriz-ZeitunArmando J Taveras CruzYanay Ruiz-Rosabuilding energy efficiencyzero energy buildingsexisting buildingsphotovoltaic systemsbuilding energy simulationEnergyPlusPV*SOLair conditioning energy consumptionlighting energy savingselectricity consumption reductionThe total electrical energy consumption of buildings has garnered the interest of scholars. Efforts have been undertaken to establish near-low-consumption edifices to ensure comfort and optimize resource management. Building energy modeling is a notably adaptable method for enhancing energy efficiency. This tool assists energy managers in selecting technology to minimize energy consumption. This research seeks to evaluate the implementation of diverse, active technologies in traditional buildings by utilizing building energy models to develop net-zero emission structures in response to the circumstances above. A comprehensive energy model of the building utilizing EnergyPlus was employed to examine the potential energy savings from implementing diverse, active technologies. An analysis of a solar system addressing building demand was conducted using the PV*SOL tool. The results of the digital building model demonstrated that the active technologies implemented would substantially reduce electricity consumption in electrical equipment and air conditioning systems. Nevertheless, even with the implementation of best practices, the lighting system did not realize the expected energy savings.2025eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1177/27533735241309417Renewable EnergiesRenewable Energiesurn:issn:2753-3735Renewable Energies, 2025, vol. 3, n. 1info:eu-repo/semantics/openAccessopenAccesscc-by-nchttps://doi.org/10.1177/27533735241309417Affordable and clean energyClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Impact of distributed generation on the stability and operation of electric power systems: Analysis of scenarios including energy storage systemsDeyslen Mariano-HernándezMiguel Aybar-MejíaElvin JiménezKarla CosteRoberto Quintal-PalomoGiuseppe Sbriz-ZeitunJesús De la Casa HernándezMáximo Domínguez GarabitosLesyani Teresa León ViltreArmando J Taveras Cruzdistributed generationenergy storage systemsvoltage stabilityfrequency stabilityautomatic load sheddingphotovoltaicsrenewable energy integrationdistribution networksgrid resiliencedistributed storageDominican Republicsmall island developing statesgrid flexibilityThe transition from centralized to decentralized power generation presents a significant opportunity to enhance grid resilience and energy independence, particularly in regions with unstable grids or vulnerability to natural disasters. Distributed Generation (DG), particularly solar photovoltaics, has become a key component of modern power systems, especially in distribution networks. However, its increasing penetration at both utility and distributed levels poses challenges related to voltage, frequency, and angular stability, requiring advanced monitoring and control strategies. In this context, energy storage systems (ESS) emerge as a crucial player, playing a significant role in mitigating these challenges. ESS stabilizes power supply fluctuations and enhances grid reliability, providing a safety net for the intermittent nature of renewable energy sources. This study examines the impact of DG on the stability and operation of the National Interconnected Electric System (SENI) of the Dominican Republic, with a focus on integrating ESS at both utility and distribution levels. Using DIgSILENT, future scenarios (2027) with high renewable penetration were simulated. The methodology included data collection, modeling of actual automatic load shedding (EDAC) events from 2024, and the simulation of three scenarios: without storage, with utility-scale storage, and with both utility-scale and distributed storage. The results indicate that energy storage systems (ESS) significantly enhance system stability, reducing both the total disconnected load and the number of EDAC steps. In the absence of storage, 640 MW were disconnected; with utility-scale storage, this was reduced to 540 MW, and the addition of distributed storage further decreased the disconnected load to 440 MW while also delaying EDAC activation times. Findings highlight the critical need for ESS investments and grid flexibility mechanisms to accommodate increasing renewable penetration, particularly in Small Island Developing States (SIDS). Future research should optimize ESS deployment and conduct detailed economic analyses to support the development of sustainable power systems.2025eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.1177/27533735251353062Renewable EnergiesRenewable Energiesurn:issn:2753-3735Renewable Energies, 2025, vol. 3, n. 2info:eu-repo/semantics/openAccessopenAccesscc-by-nchttps://doi.org/10.1177/27533735251353062Affordable and clean energyIndustry, innovation and infrastructureClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Seismic fragility curves for a concrete bridge using structural health monitoring and digital twins2022info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.12989/eas.2022.22.5.503Earthquake and StructuresEarthquake and StructuresEarthquake and Structures, 2022Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Structural monitoring and identification of civil infrastructure in the United StatesKalil ErazoSatish NagarajaiahStructural health monitoringCivil infrastructureIdentification (biology)Structural systemEngineeringStructural integrityForensic engineeringConstruction engineeringScale (ratio)Risk analysis (engineering)Process (computing)Civil engineeringComputer scienceStructural engineeringBusinessMonitoring the performance and estimating the remaining useful life of aging civil infrastructure in the United States has been identified as a major objective in the civil engineering community. Structural health monitoring has emerged as a central tool to fulfill this objective. This paper presents a review of the major structural monitoring programs that have been recently implemented in the United States, focusing on the integrity and performance assessment of large-scale structural systems. Applications where response data from a monitoring program have been used to detect and correct structural deficiencies are highlighted. These applications include (but are not limited to): i) Post-earthquake damage assessment of buildings and bridges; ii) Monitoring of cables vibration in cable-stayed bridges; iii) Evaluation of the effectiveness of technologies for retrofit and seismic protection, such as base isolation systems; and iv) Structural damage assessment of bridges after impact loads resulting from ship collisions. These and many other applications show that a structural health monitoring program is a powerful tool for structural damage and condition assessment, that can be used as part of a comprehensive decision-making process about possible actions that can be undertaken in a large-scale civil infrastructure system after potentially damaging events.2016eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.12989/smm.2016.3.1.051Structural Monitoring and MaintenanceStructural Monitoring and Maintenanceurn:issn:2288-6605urn:issn:2288-6613Structural Monitoring and Maintenance, 2016, vol. 3, n. 1, p. 51-69info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.12989/smm.2016.3.1.051Q3Industry, innovation and infrastructureInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal CHEMICAL CHARACTERIZATION OF SARGASSUM ARRIVING ON THE BEACHES OF THE DOMINICAN REPUBLIC: 2015-2022Tejada-Tejada, PamelaLiranzo-Gómez, RolandoAquino, LauraBoluda, Carlos JoséGómez, BolivarGómez, Aris MendisYaset Rodríguez-RodríguezDe Francisco, Luis E RodríguezJáuregui-Haza, UlisesSargassumbrown algaebeach litterchemical characterizationmarine litterDominican Republicseaweedcoastal pollution2023info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.13140/rg.2.2.26258.02245Regional Conference Greater Caribbean-EU on SargassumRegional Conference Greater Caribbean-EU on SargassumRegional Conference Greater Caribbean-EU on Sargassum, 2023info:eu-repo/semantics/closedAccessclosedAccessLife below waterInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Small signal stability in low-renewable power systems: A 138 kV Santo Domingo case studyDeyslen Mariano-HernándezMiguel Aybar-MejíaInstituto Tecnológico de Santo DomingoÁngel José Sánchez-SánchezInstituto Tecnológico de Santo DomingoVíctor Ernesto Peralta-MaxwellInstituto Tecnológico de Santo DomingoÁngel Dagoberto Germán-EncarnaciónInstituto Tecnológico de Santo DomingoEduardo De León-ConcepciónInstituto Tecnológico de Santo DomingoInstituto Tecnológico de Santo DomingoRenewable energySIGNAL (programming language)Power (physics)Electrical engineeringElectric power systemEnvironmental scienceEngineeringComputer sciencePhysicsSmall signal stability in electrical systems refers to the ability of the system to maintain stable operation in the face of low-amplitude disturbances, such as fluctuations in electrical demand or the off and on switching of generators. This type of analysis is essential because it provides insight into how the system responds to minor disturbances, such as variations in generation or unplanned load. Significant disturbances can induce unstable conditions with potentially serious consequences, such as widespread power outages. Advanced mathematical techniques address these issues, such as the Fourier transform and the Prony method. In this study, a method was developed using MATLAB, and flow runs were performed in Digsilent software to analyze the oscillations of small signals in a 138 kV substation with low penetration of renewable energy. This research is relevant because it allows us to assess the impact of small disturbances in the electricity system during the transition toward greater integration of renewable technologies. The goal is to improve the efficiency and safety of electrical infrastructure in the Dominican Republic, ensuring a more reliable and stable energy supply for residents and businesses. The analysis shows that the current system can absorb anomalies of small signals due to the low penetration of renewables. In addition, the tool developed allows the evaluation of scenarios with greater penetration of renewable energy, providing a solid basis for implementing preventive or corrective measures.2025eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.17533/udea.redin.20250154Revista Facultad de Ingeniería Universidad de AntioquiaRevista Facultad de Ingeniería Universidad de Antioquiaurn:issn:0120-6230urn:issn:2422-2844Revista Facultad de Ingeniería Universidad de Antioquia, 2025, n. 115info:eu-repo/semantics/openAccessopenAccesscc-by-nc-sahttps://revistas.udea.edu.co/index.php/ingenieria/article/download/355920/20817343Q4doajInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Sargassum and submesoscale eddies near the south coast of the Dominican RepublicJiménez-Durán, IvánLorenzo Rodriguez, LodrizCastaño Abreu, EliannaSánchez-Camilo, EdwinMariano-Hernandez, DeyslenSanlley, CarlosSargassumsubmesoscale eddiessatellite imageryeddy detectionHYCOMcoastal ocean dynamics2026info:eu-repo/semantics/otherdata-sethttps://doi.org/10.17632/2ftwkt7tyv.1Mendeley DataMendeley DataMendeley Data, 2026info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.17632/2ftwkt7tyvLife below waterInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Modelling Dominican Republic. Data.2023info:eu-repo/semantics/otherdata-sethttps://doi.org/10.17632/tk8ndsp9wt.12023Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Evaluación económica de la descarbonización del sector eléctrico en la República DominicanaGiuseppe SbrizMiguel Aybar-MejíaJairo Quirós-TortosLuis Víctor-GallardoSusana Solórzano-JiménezLucía Rodríguez-DelgadoOphélie RislerRafael Berigüeteelectricity sector decarbonizationeconomic evaluationrenewable energynatural gascoal substitutionelectricity generation costsCO2 emission reductionrenewable energy investmentenergy transitiontransmission networksDominican Republicscenario analysisenergy roadmapEste estudio evaluó escenarios de descarbonización del subsector eléctrico en República Dominicana mediante un modelo computacional exploratorio y un proceso participativo con actores clave. Se analizaron cuatro escenarios: base, referencia, gas natural y renovables. El escenario renovable, que reemplaza la generación a carbón por energías renovables como solar y eólica, mostró los mayores beneficios económicos netos promedio de US$2,700 millones a 2050, una reducción del costo medio de generación de 8% en 2050, 140 millones de toneladas de CO2 evitadas y 160,000 empleos directos creados a 2050. Lograr esto requeriría inversiones adicionales promedio en energías renovables de US$3,300 millones. El escenario renovable alcanzaría 55% de generación renovable en 2050. Los resultados sugieren que la República Dominicana podría descarbonizar su matriz eléctrica de forma rentable. La propuesta de hoja de ruta recomienda expandir la generación renovable y el almacenamiento, fortalecer la red de transmisión, y planificar cuidadosamente la sustitución de la generación a carbón en el largo plazo. El estudio provee insumos valiosos para la toma de decisiones sobre la transición energética en el país.2023esinfo:eu-repo/semantics/reportreporthttps://doi.org/10.18235/0005118Banco Interamericano de Desarrollo (BID)Banco Interamericano de Desarrollo (BID)Banco Interamericano de Desarrollo (BID), 2023info:eu-repo/semantics/openAccessopenAccesshttps://publications.iadb.org/publications/spanish/document/Evaluacion-economica-de-la-descarbonizacion-del-sector-electrico-en-la-Republica-Dominicana.pdfIndustry, innovation and infrastructureClimate actionAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Derivative Free Conformable Iterative Methods for Solving Nonlinear EquationsGiro CandelarioAlicia CorderoJuan R. TorregrosaMaría P. Vassilevaconformable fractional derivativederivative-free iterative methodsnonlinear equationssecant methodtranscendental equationsnonlinear algebraic equationsconvergence analysisoptimal methods2023info:eu-repo/semantics/preprintpreprinthttps://doi.org/10.20944/preprints202306.1632.v1Preprints.orgPreprints.orgPreprints.org, 2023info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.20944/preprints202306.1632.v1doajInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Assessment of PM10 and PM2.5 Concentrations in Santo Domingo: A Comparative Study Between 2019 and 2022Solhanlle Bonilla-DuarteCarime Matos-EspinosaRamón DelanoyClaudia Caballero-GonzálezAnel Hernández-GarcesUlises Jauregui-HazaJosé-Ramón Martínez-BatllePM10PM2.5particulate matterair qualitySaharan dustaerosol optical depthmeteorological factorsrainfallatmospheric pressurespatiotemporal variationurban air pollutionSanto DomingoCaribbean cities2025info:eu-repo/semantics/preprintpreprinthttps://doi.org/10.20944/preprints202504.0398.v1Preprints.orgPreprints.orgPreprints.org, 2025info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.20944/preprints202504.0398.v1doajClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Microbiological and Biosecurity Assessment of Sargassum‐Based Liquid BiofertilizersYaset Rodríguez-RodríguezEdian F. Franco De Los SantosAshley Marie Mejía-DislaMáximo Elías Reynoso-OrtegaGustavo GandiniPamela Tejeda-TejedaMiguel Ángel GuevaraCarlos Willian Dias DantasRommel T. J. RamosUlises Javier Jáuregui-Hazaliquid biofertilizerbiosecuritymicrobiological safetyheavy metalsbacterial and archaeal communitiesphytotoxicitylettuceecotoxicologysoil fertilitycoastal agricultureDominican Republicseaweed waste valorizationSargassum seaweed has inundated Caribbean coastlines, disrupting ecosystems while presenting opportunities for sustainable products like liquid biofertilizers. This study evaluated the microbiological and biosecurity profiles of two liquid biofertilizers produced in the Dominican Republic: Sargassum-based (SBLB-INTEC) and conventional (LB-BANELINO). Both exhibited essential minerals (K, Ca, Mg) and low heavy metal concentrations, meeting agricultural safety standards. Metagenomic analysis (16S rRNA) identified diverse bacterial and archaeal communities, mainly consisting of beneficial taxa such as Firmicutes, Proteobacteria, and Methanobacteria, with no detectable pathogens. Ecotoxicological assays with Lactuca sativa showed phytotoxicity at high concentrations, mitigated by dilution (≤6.25%) and pH adjustment (7.0), achieving germination indexes above 80%. These results suggest that Sargassum-based biofertilizers could be a viable alternative for enhancing soil fertility and promoting sustainable crop production, particularly in coastal agricultural systems where conventional fertilizers may be limited or environmentally harmful. Moreover, this study highlights the critical role of ecotoxicological testing in ensuring biofertilizer safety and underscores Sargassum’s potential as a renewable resource for sustainable farming.2025eninfo:eu-repo/semantics/preprintpreprinthttps://doi.org/10.20944/preprints202504.2450.v1Preprints.orgPreprints.orgPreprints.org, 2025info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.preprints.org/frontend/manuscript/ffaf78dd8d9fba29628347b1f841f51f/download_pubZero hungerResponsible consumption and productionClean water and sanitationInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Deviation-Based Operating Reserve Sizing and Market Co-Optimization for Data-Constrained Island Power SystemsRené Báez-SantanaMiguel E. Aybar-MejíaMáximo A. Domínguez-GarabitosVíctor S. Ocaña-GuevaraYeulis V. Rivas-PeñaRafael O. Uceta-Acostaisland power systemsreserve allocationreserve pricingvariable renewable energylow-inertia power systemssmall island developing statesmarket efficiencyreliabilityData-constrained island power systems with increasing shares of variable renewable energy (VRE) face growing challenges in maintaining reliability while preserving market efficiency. Existing reserve sizing practices typically rely on either fixed deterministic rules or data-intensive probabilistic methods, both presenting practical limitations in Small Island Developing States (SIDS). This paper develops a market-based framework for the co-optimization of energy and operating reserves in low-inertia island power systems, in which reserve requirements are determined from historically observed extreme generation or load deviations that represent operationally validated high-risk system conditions, while reserve allocation and pricing emerge from the co-optimization process. By relying on observed operational variability, the proposed approach avoids explicit probabilistic uncertainty modeling while retaining sensitivity to system stress conditions. The approach is evaluated using a stylized island power system representative of Caribbean SIDS. Results show that reserve requirements are highly sensitive to operating conditions, reaching up to 26.7% of demand under high variability and significantly exceeding conventional fixed reserve criteria. The framework reduces non-served energy, improves reserve allocation efficiency, and generates scarcity-consistent reserve prices under stressed conditions. These findings demonstrate that the proposed methodology provides a practical intermediate solution between deterministic and probabilistic reserve sizing approaches while remaining suitable for data-constrained island power systems.2026info:eu-repo/semantics/preprintpreprinthttps://doi.org/10.20944/preprints202606.0983.v1Preprints.orgPreprints.orgPreprints.org, 2026info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.20944/preprints202606.0983.v1doajIndustry, innovation and infrastructureAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Updated Seismic Hazard Curves, Maps, and Spectra for the Northern Dominican Republic using a Probabilistic Seismic Hazard AnalysisKalil ErazoSeismologySeismic hazardHazardProbabilistic logicGeologyHazard mapGeographyStatisticsMathematicsLandslide2022eninfo:eu-repo/semantics/preprintpreprinthttps://doi.org/10.21203/rs.3.rs-2082413/v1Research SquareResearch SquareResearch Square, 2022info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.researchsquare.com/article/rs-2082413/latest.pdfSustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Updated Seismic Hazard Curves, Maps, and Spectra for the Northern Dominican Republic using a Probabilistic Seismic Hazard AnalysisKalil ErazoSeismic hazardSeismologyPeak ground accelerationIncremental Dynamic AnalysisGeologyInduced seismicityEarthquake scenarioEarthquake simulationBuilding codeSpectral accelerationSeismic riskPoisson distributionGround motionStatisticsMathematicsEngineeringStructural engineering2022eninfo:eu-repo/semantics/otherotherhttps://doi.org/10.21203/rs.3.rs-2082413/v2Research SquareResearch SquareResearch Square, 2022info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.21203/rs.3.rs-2082413/v2Sustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Analysis of ground motion intensity measures for records of the 2023 Turkey-Syria earthquakeKalil ErazoPeak ground accelerationSpectral accelerationIntensity (physics)SeismologyContext (archaeology)Seismic hazardGround motionStrong ground motionGeologyAccelerationEvent (particle physics)Earthquake scenarioGeodesyEnvironmental sciencePhysicsAbstract Ground motion intensity measures (GMIM) provide a quantitative metric of the strength of a ground motion with the goal of providing a mapping to the potential damaging effects induced by earthquakes. The potential correlation between GMIM and earthquake damage allows their use in earthquake engineering applications such as (pre-event) seismic hazard/risk assessment and mitigation, and (post-event) damage assessment and resources allocation for disasters response. GMIM are also used for damage prediction in the context of performance-based earthquake engineering and earthquake-resistant design. This paper presents the evaluation of GMIM using strong motion records obtained during the 2023 Turkey-Syria earthquake. The GMIM studied include peak ground acceleration, peak ground velocity, spectral accelerations, root-mean-square acceleration, Arias intensity, cumulative absolute velocity, Housner spectral intensity, and Araya-Saragoni intensity. The GMIM are evaluated at several spatial locations where ground motion records were measured during the events. Examination of the results show that some of the GMIM showed particularly high values at locations where severe damage was observed after the earthquake. It is also shown that the maximum considered earthquake (MCE) spectra was exceeded at several locations where extensive damage was observed.2023eninfo:eu-repo/semantics/otherotherhttps://doi.org/10.21203/rs.3.rs-3761020/v1Research SquareResearch SquareResearch Square, 2023info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.researchsquare.com/article/rs-3761020/latest.pdfClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Identification of Nonlinear Structural and Mechanical Systems Using Bayesian Filtering MethodsKalil ErazoIdentification (biology)Bayesian probabilityNonlinear systemComputer scienceSystem identificationMathematicsAlgorithmEconometricsArtificial intelligenceData miningPhysics2023eninfo:eu-repo/semantics/otherotherhttps://doi.org/10.2139/ssrn.4552248SSRNSSRNurn:issn:1556-5068SSRN, 2023info:eu-repo/semantics/openAccessopenAccesshttps://doi.org/10.2139/ssrn.4552248Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Analysis and Projections of Emissions from Electricity Generation in the Dominican RepublicYaset Rodríguez-RodríguezJuan Luis GonzálezFrank Montero-DiazIván Jiménez-DuránMiguel Aybar-MejíaIván Relova-Delgadogreenhouse gas emissionselectricity generationDominican Republicemission projectionsavoided emissionsrenewable energy integrationwind energyphotovoltaicsbiomass productionsugarcane bagasseemission intensityNationally Determined Contributions2023info:eu-repo/semantics/otherotherhttps://doi.org/10.2139/ssrn.4622118SsrnSsrnurn:issn:1556-5068Ssrn, 2023info:eu-repo/semantics/openAccessopenAccesshttps://doi.org/10.2139/ssrn.4622118Climate actionAffordable and clean energyIndustry, innovation and infrastructureInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Seismic Response Estimation and Performance Assessment in Large-Scale Structures Using Deep Learning MethodsKalil ErazoJacob A. MorganOral BüyüköztürkScale (ratio)EstimationComputer scienceArtificial intelligenceDeep learningMachine learningSeismologyGeologyEngineeringGeographyCartographySystems engineering2024eninfo:eu-repo/semantics/otherotherhttps://doi.org/10.2139/ssrn.4978015SSRNSSRNurn:issn:1556-5068SSRN, 2024info:eu-repo/semantics/openAccessopenAccesshttps://doi.org/10.2139/ssrn.4978015Climate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Three Rivers to the Test: Lessons for Global Plastic Transport ModellingThomas ManiRonja EbnerStijn PinsonRatchanon PiemjaiswangAlexandra Marie MurrayMarkus SvenssonTim H.M. van EmmerikSuchana ChavanichCristina TroisCarlos SanlleyLaurent Lebretonriverine plastic transportplastic pollutionGPS drifterssurface transportationestuariesmass flux2026info:eu-repo/semantics/preprintpreprinthttps://doi.org/10.2139/ssrn.6433763SSRNSSRNSSRN, 2026info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.2139/ssrn.6433763pubmedClean water and sanitationClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Assessing the robustness of market-based capacity valuation for variable renewable energy: A multi-year analysisRené Báez-SantanaMiguel Aybar-MejíaBruno DiasVíctor Ocaña-GuevaraJoão SoaresMáximo Domínguez-Garabitosvariable renewable energyinterannual variabilitycapacity remunerationenergy dispatchsystem reliabilitywind energyphotovoltaicscapacity factorpeak loadmarket designDominican Republic2026info:eu-repo/semantics/preprintpreprinthttps://doi.org/10.2139/ssrn.6727029SSRN Electronic JournalSSRN Electronic Journalurn:issn:1556-5068SSRN Electronic Journal, 2026info:eu-repo/semantics/openAccessopenAccesshttps://doi.org/10.2139/ssrn.6727029Affordable and clean energyClimate actionIndustry, innovation and infrastructureInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal El origen de la variación de la energía libre asociada a la hidrólisis del ATP y la Enseñanza de la BioquímicaCarlos J. BoludaNohely SosaCamila MarranziniPamela TejadaRoberto BonnellyATP hydrolysisGibbs free energybioenergeticsATP/ADP ratio2018info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.22206/cac.2018.v1i1.pp39-44Ciencia, Ambiente y ClimaCiencia, Ambiente y Climaurn:issn:2636-2317urn:issn:2636-2333Ciencia, Ambiente y Clima, 2018info:eu-repo/semantics/openAccessopenAccesscc-by-nc-sahttps://revistas.intec.edu.do/index.php/cienacli/article/download/1268/1633Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Implementación de un sistema de monitoreo de área amplia en la red de 345 kV del sistema eléctrico dominicano. Caso de estudioMiguel Aybar-MejíaDiego Aquino LebrónWascar Antonio Liriano LorenzoDeyslen Mariano-HernándezSCADAPhasorGridTransmission (telecommunications)Electric power systemSystem of measurementTransmission systemThe Dominican Republic's National Interconnected Electric System (SENI) faces new operational challenges due to the increasing integration of intermittent renewable generation, which affects the stability of the transmission grid, particularly at the 345 kV busbars. This study proposes the implementation of a Wide Area Monitoring System (WAMS) as a technological alternative to enhance the detection of critical events and real-time operational awareness. An applied methodology was adopted, including a review of relevant standards, assessment of existima infrastructure, and evaluation of té technical feasibility of enabling protection relays to function as Phasor Measurement Units (PMUs), integrated with a GPS-synchronized Extended Phasor Data Concentrator (ePDC). Operational records of voltage and frequency were collected under real system conditions and compared between the WAMS and the traditional SCADA system. The results demonstrate that WAMS provides significantly higher temporal resolution, allowing the detection of short-duration oscillations that are not captured by SCADA. This highlights improvements in dynamic system visibility and supports the technical feasibility of implementing WAMS using existing infrastructure in transmission networks of developing countries.2025info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.22206/cite.2025.v8.3570Ciencia, Ingenierías y AplicacionesCiencia, Ingenierías y Aplicacionesurn:issn:2636-2171urn:issn:2636-218XCiencia, Ingenierías y Aplicaciones, 2025, vol. 8, n. 1, p. 41-61info:eu-repo/semantics/openAccessopenAccesscc-by-nc-sahttps://revistas.intec.edu.do/index.php/cite/article/download/3570/4353Industry, innovation and infrastructureInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Actualización del Factor de Emisión de CO₂ del Sistema Eléctrico Nacional Interconectado (SENI) en República Dominicana (2019–2024)Miguel Aybar-MejíaIvan Relova DelgadoChadia AbreuNelly CuelloIsmenia AbreuElectricityGreenhouse gasElectricity generationRenewable energyCoalNatural gasCarbon footprintEnergy consumptionThis study presents the estimated and updated carbon dioxide (CO₂) emission factor for the National Interconnected Electric System (SENI) of the Dominican Republic within the framework of the “Tool 07 v7.0” methodology published by the UNFCCC. Using disaggregated data on electricity generation and fuel consumption between 2019 and 2024, the operating (EFOM), construction (EFBM), and combined (EFCM) margins were calculated. The results show a predominance of natural gas and coal in the national energy matrix, with a renewable share of 16.6% in 2024. The estimated average combined margin (not including special regime plants or renewables, LCRM) amounts to 0.6649 tCO₂/MWh, in accordance with the official UNFCCC methodology “Tool to calculate the emission factor for an electricity system” (Version 7, 2022), 2024, this result allows strengthening low-carbon project designs and medium- and long-term strategies aligned with the Paris Agreement. A simplified emission factor of 0.6277 tCO₂/MWh was estimated for the year 2024 in order to obtain an EF for GHG and Carbon Footprint inventories.2025info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.22206/cite.2025.v8.3571Ciencia, Ingenierías y AplicacionesCiencia, Ingenierías y Aplicacionesurn:issn:2636-2171urn:issn:2636-218XCiencia, Ingenierías y Aplicaciones, 2025, vol. 8, n. 1, p. 9-40info:eu-repo/semantics/openAccessopenAccesscc-by-nc-sahttps://revistas.intec.edu.do/index.php/cite/article/download/3571/4315Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Potencial impacto energético de los vehículos eléctricos en la red de distribución del Distrito Nacional, República DominicanaMiguel Aybar-MejíaEdison Antolín Álvarez JerezHenry César Caraballo DuránRobinson Radhamés Gómez ThenManny Alexander Montero DilonéIsrael Josué Soto LeonorElvin Arnaldo Jiménez MatosPhysicsHumanitiesFuel cellsPhilosophyEngineeringVehículos eléctricosMitigación de gases de efecto invernaderoControl del ruidoCalidad del aireDistribución de energía eléctricaEl mundo se encuentra en una transición energética, lo que trae como consecuencia el surgimiento de tecnologías para contrarrestar la dependencia de los derivados de petróleo en la movilidad vehicular. En respuesta a esto, se presentan los vehículos eléctricos como una alternativa ecológica para el desplazamiento cotidiano de los seres humanos. Se estableció como objetivo determinar el impacto de conectar y cargar vehículos eléctricos en la redde distribución, para ello se utilizó la herramienta de simulación Power System Simulator (PSS/ADEPT) y hojas de cálculos, en donde se realizaron corridas de flujos de carga a diferentes escenarios de penetración vehicular, evaluando en cada caso parámetros eléctricos como cargabilidad y caída de tensión en los conductores troncales y transformadores de los circuitos seleccionados. Los resultados arrojados en las simulaciones permiten afirmar que la infraestructura actual de los circuitos seleccionados no está apta para soportar una penetración considerable de vehículos eléctricos, donde en circuitos como el EMBA-105 a un 10 % de penetración vehicular eléctrica las pérdidas permisibles fueron superadas. Con estos resultados se pudo detectar cuáles circuitos de la red de distribución eléctrica seleccionados pudieran colapsar con la entrada masiva de la movilidad eléctrica.2019esinfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.22206/cyap.2019.v2i1.pp45-66Ciencia, Ingenierías y AplicacionesCiencia, Ingenierías y Aplicacionesurn:issn:2636-2171urn:issn:2636-218XCiencia, Ingenierías y Aplicaciones, 2019, vol. 2, n. 1, p. 45-66info:eu-repo/semantics/openAccessopenAccesscc-by-nc-sahttps://revistas.intec.edu.do/index.php/cite/article/download/1503/2102Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Probabilistic seismic hazard analysis and design earthquake for Santiago, Dominican RepublicErazo, KalilRiesgos sísmicosAnálisis de riesgo de terremotosThis article presents the results of a probabilistic seismic hazard analysis (PSHA) conducted for a site in the city of Santiago, located in the Dominican Republic. To perform the PSHA recent seismological data of the Septentrional fault (seismic source) is used to calibrate an earthquake recurrence model, and to compute the seismic hazard curves of several earthquake, ground motion, and structural response parameters of interest in earthquake engineering applications. The parameters studied include horizontal peak ground acceleration and 5 % damping pseudo-acceleration response spectrum ordinates. The effect of uncertainty in the seismic fault rupture zone location is studied using a Monte Carlo analysis; for this purpose, the rupture location is treated as a random variable along the fault. The PSHA results are compared to the site design response spectrum with 2 % exceedance probability in 50 years specified in the Dominican Republic building code. It is concluded that there is a 17 % probability that the actual 2 % exceedance spectrum ordinates are greater than those specified in the design spectrum due to uncertainties related to the attenuation law employed to relate earthquake source and ground motion characteristics at the site. Based on the attenuation model, the design spectrum at the site is consistent with the spectrums generated by a 7.9 (moment) magnitude earthquake, which is close to the 7.8 magnitude characteristic earthquake estimated in previous studies for the Septentrional fault.2019spainfo:eu-repo/semantics/bookPartbook-chapterhttps://doi.org/10.22206/cyap.2019.v2i1.pp67-84Ciencia, ingenierías & aplicacionesCiencia, ingenierías & aplicacionesurn:issn:2636-218X (impreso)urn:issn:2636-2171 (en linea)Ciencia, ingenierías & aplicaciones, 2019info:eu-repo/semantics/closedAccessclosedAccessInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Respuesta sísmica local de la presa Las Dos Bocas utilizando un análisis no linealClaudia GermosoJuan AracenaHumanitiesPhysicsGeomorphologyGeologyPhilosophyIngeniería sísmicaPresasUno de los problemas más importantes y comúnmente encontrados en la ingeniería sísmica es la evaluación de la respuesta del terreno donde se ubicala edificación. La respuesta dinámica del suelo es un fenómeno sumamente complejo, que depende de un gran número de variables, tanto de las propiedades del mismo suelo como de la excitación a la que se encuentre sometida. El comportamiento no lineal del suelo durante un evento sísmico tiene un papel predominante en el análisis actual de la respuesta del sitio, lo que indica que su relación esfuerzo-deformación es no lineal e histerética, debido a esto, el enfoque lineal debe ser modificado para proporcionar estimaciones razonables de respuesta del terreno para los problemas prácticos de interés. En el presente artículo se muestra la influencia, en el análisis de la respuesta sísmica local de la presa de tierra "Las Dos Bocas", ejercida al considerar distintas excitaciones sísmicas, así como las propiedades dinámicas del suelo en función del nivel de deformación inducido. Demostramos cómo la no linealidad puede afectar la amplificación del suelo en función de diferentes fuentes de excitación. Aquí, el comportamiento no lineal con un enfoque en la respuesta del sitio 1-D se desarrolla aplicando un método iterativo para lograr la aproximación lineal equivalente del suelo, basada en las propiedades no lineales del material.2019esinfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.22206/cyap.2019.v2i1.pp7-32Ciencia, Ingenierías Y AplicacionesCiencia, Ingenierías Y Aplicacionesurn:issn:2636-2171urn:issn:2636-218XCiencia, Ingenierías Y Aplicaciones, 2019, vol. 2, n. 1, p. 7-32info:eu-repo/semantics/openAccessopenAccesscc-by-nc-sahttps://revistas.intec.edu.do/index.php/cite/article/download/1505/2100Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Análisis del sistema de arranque en negro en la República DominicanaMiguel Aybar-MejíaFreddy Lázaro Acosta RiveraFanuel Antonio Ferrer RivasJean Carlos Milanés RodríguezDoris Alexandra Nina de la CruzRansys Antonio Santos TejedaEduardo Agustín De León ConcepciónHumanitiesPolitical scienceArtSistemas de energía eléctricaRepública Dominicana es un país con un sistema eléctrico vulnerable, por ello las fallas son recurrentes y las pérdidas parciales y totales del sistema son una consecuencia latente en las últimas décadas, siendo el tiempo de restablecimiento el factor de mayor importancia en estos eventos. Por otro lado, la República Dominicana se encuentra en la trayectoria de los huracanes, por lo que la red eléctrica del país se ve amenazada en la temporada ciclónica. Ante esta situación, este país no cuenta con un esquema que permita restablecer el sistema en caso de que algún fenómeno o evento natural ocasione una falla en el suministro eléctrico. En el presente documento se plantea un método de remuneración y un esquema para el restablecimiento del sistema de forma rápida y eficaz; esto se logra conociendo los puntos vulnerables del sistema, las generadoras con la capacidad de realizar el servicio de black-start y con la ayuda de herramientas de simulación para estimar el tiempo de respuesta del sistema. Para la realización de este programa se plantea la situación actual del sistema y se compara con países similares que tengan un sistema de restablecimiento óptimo, analizando las maniobras y variables tomadas en cuenta para su realización. Adicionalmente, se plantea el impacto de este algoritmo en los ámbitos económico, social, legal, técnico y ambiental evidenciando el antes y después del sistema eléctrico dominicano con la implementación de la propuesta, además de observarse los ahorros financieros que tendría el Sistema Eléctrico Nacional Interconectado (SENI) al implementar dicha metodología.2019esinfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.22206/cyap.2019.v2i2.pp29-49Ciencia, Ingenierías y AplicacionesCiencia, Ingenierías y Aplicacionesurn:issn:2636-2171urn:issn:2636-218XCiencia, Ingenierías y Aplicaciones, 2019, vol. 2, n. 2, p. 29-49info:eu-repo/semantics/openAccessopenAccesscc-by-nc-sahttps://revistas.intec.edu.do/index.php/cite/article/download/1570/2164Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Efecto de aplicar inercia virtual en los parques eólicos Los Cocos, Larimar I y Larimar II en República DominicanaMiguel Aybar-MejíaElvin Arnaldo Jiménez MatosCarlos Ángel BurgoRadhy Andrés AlcántaraMoisés Ismael Blanco SánchezRyan Cabral SotoDavid Quezada PeñaCarolyn Rodriguez RamirezHumanitiesPhysicsArtCon el creciente uso de energía eólica surge la necesidad de modificar los sistemas eléctricos de potencia, debido a la falta de inercia que caracteriza la generación renovable. Se plantea emular la respuesta inercial de aerogeneradores para mitigar estos efectos ocasionados por una configuración que le impide reaccionar ante fallas ocurridas en la red eléctrica. Para validación de lo propuesto se estudia la aplicación de inercia virtual en los parques eólicos Los Cocos, Larimar 1 y Larimar 2, que representan el mayor porcentaje de generación eólica de la República Dominicana. Para analizar el efecto de la configuración propuesta en la estabilidad del Sistema Eléctrico Nacional Interconectado se utilizó el software Power Factory DIgSILENT, donde se hacen simulaciones bajo distintos parámetros de carga para obtener las curvas de variación de la frecuencia eléctrica frente a distintos valores de la constante de inercia al ocurrir una falla por desconexión de una central generadora. Con el fin de aplicar la inercia virtual en los aerogeneradores se utiliza la electrónica de potencia para realizar la inyección de potencia activa a la red eléctrica cuando ocurre una falla en el sistema eléctrico. Se desarrolla un modelo dinámico con base en el control ROCOF (Rate of Change of Frequency) cuyo objetivo es inyectar potencia activa al sistema dependiendo de la variación de frecuencia. Realizando las simulaciones se comprueba que aplicando inercia virtual se obtiene una mayor estabilidad en el sistema eléctrico y menos probabilidad de un posible colapso del sistema eléctrico.2020esinfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.22206/cyap.2020.v3i1.pp31-54Ciencia, Ingenierías y AplicacionesCiencia, Ingenierías y Aplicacionesurn:issn:2636-2171urn:issn:2636-218XCiencia, Ingenierías y Aplicaciones, 2020, vol. 3, n. 1, p. 31-54info:eu-repo/semantics/openAccessopenAccesscc-by-nc-sahttps://revistas.intec.edu.do/index.php/cite/article/download/1740/2273Affordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Compensación de reactivos en instalaciones de sistemas solares fotovoltaicos penalizadas por bajo factor de potenciaMiguel Aybar-MejíaIsmael Bautista AlmánzarMoisés BlancoRommel A. Vicini H.PhysicsHumanitiesPhilosophyEnergía solarEnergía fotovoltáicaConsumo de energía eléctricaBancos de condensadoresEn este artículo se estudia la posibilidad de compensar potencia eléctrica reactiva (kVAr) en sistemas fotovoltaicos para reducir o anular los recargos causados por bajo factor de potencia, ya que representan un costo adicional en la factura eléctrica. Para compensar la potencia eléctrica reactiva que se consume en los sistemas eléctricos es necesario el uso de elementos que produzcan este tipo de potencia reactiva, por lo que en este estudio se propone un método que compensa la potencia eléctrica reactiva demandada de la red junto al sistema fotovoltaico instalado. El método seleccionado se eligió con base en estudios entre distintas tecnologías en el ámbito de compensación de potencia eléctrica reactiva como inversores, bancos de capacitores, entre otros. Además, se utilizó un analizador de redes eléctricas para registrar el comportamiento de la carga conectada y así evaluar la efectividad de este método al evaluar las tendencias del consumo de potencia eléctrica reactiva antes y un después de implementar el método seleccionado. El método propuesto es aplicado en una instalación real y su efectividad se respalda con ahorros económicos al mejorar el factor de potencia y con ahorros ambientales al lograr una reducción de emisiones de dióxido de carbono.2020esinfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.22206/cyap.2020.v3i2.pp39-63Ciencia, Ingenierías y AplicacionesCiencia, Ingenierías y Aplicacionesurn:issn:2636-2171urn:issn:2636-218XCiencia, Ingenierías y Aplicaciones, 2020, vol. 3, n. 2, p. 39-63info:eu-repo/semantics/openAccessopenAccesscc-by-nc-sahttps://revistas.intec.edu.do/index.php/cite/article/download/1987/2438Affordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Diseño mecánico de palas para un aerogenerador de 250w de potenciaDeyslen Mariano-HernándezJoel La Paz FelizHéctor Rodríguez CarrDinelson Rosario-WeeksAlexeis Fernández BonillaAybar Mejía, Miguel EuclidesHumanitiesPhysicsGeographyPhilosophyEnergía eólicaSostenibilidadRecursos energéticos renovablesLas zonas rurales tienen una deficiencia de suministro eléctrico importante, ya que las comunidades están alejadas de las redes de transmisión eléctrica, por lo que el desarrollo se delimita apresuradamente en estos lugares. En zonas de este tipo, donde se dispone del recurso renovable del viento, la implantación de máquinas eólicas o aerogeneradores puede representar una solución viable e inmediata al problema energético de necesidades eléctricas básicas. Los aerogeneradores están planificados para áreas con fuertes corrientes de viento para generar la energía, y los mismos presentan de manera más eficiente una solución viable e inmediata, especialmente para el problema energético de las necesidades eléctricas básicas. El diseño experimental propuesto se basó en la literatura existen sobre el diseño de palas para generadores eólicos tomando en cuenta las condiciones locales de áreas rurales de la República Dominicana que tengan las condiciones de viento mínima para que estas funcionen. Sin embargo, la indicación más significativa para seleccionar los materiales es la disponibilidad local. El diseño final presentado en las conclusiones es el resultado de una investigación teórica, una solución de ecuaciones matemáticas y un montaje experimental realizado en el Instituto Tecnológico de Santo Domingo, INTEC. Se espera que este trabajo sea un punto de partida para nuevas investigaciones relacionadas o mejoras al diseño actual en la República Dominicana.2021esinfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.22206/cyap.2021.v4i1.pp25-55Ciencia, Ingenierías y AplicacionesCiencia, Ingenierías y Aplicacionesurn:issn:2636-2171urn:issn:2636-218XCiencia, Ingenierías y Aplicaciones, 2021, vol. 4, n. 1, p. 25-55info:eu-repo/semantics/openAccessopenAccesscc-by-nc-sahttps://revistas.intec.edu.do/index.php/cite/article/download/2208/2648Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Protocolos y topologías utilizadas en los sistemas de comunicación de las microrredes eléctricasDeyslen Mariano-HernándezMiguel Aybar MejíaAlejandro Arias MartijenaAlexis Alexander Castillo RuízÁngel Isaac Roa AriasEzequías Bidó CuelloJavier García Maimómicrogridscommunication protocolsnetwork topologydistributed generationenergy storagedistributed loadsmonitoring and control systemlow-voltage power systemsgrid-connected operationservice continuityRedes eléctricasRecursos energéticosLas microrredes son sistemas de potencia de baja tensión, que pueden operar en modo aislado o con conexión a la red eléctrica. Estos sistemas cuentan con fuentes de generación distribuida, sistemas de almacenamiento, cargas distribuidas, sistemas de comunicación y sistemas de monitoreo y control. Los sistemas de comunicación implementados en las microrredes son un área de estudio de gran importancia, debido a que para asegurar la continuidad y calidad del servicio eléctrico es necesario que la información de los sistemas se transmita de manera confiable y rápida. Por esta razón se utilizan diferentes topologías de red y protocolos de comunicación, los cuales tienen distintas ventajas dependiendo su aplicación. Este artículo presenta una revisión de literatura sobre las topologías de red y los protocolos de comunicación utilizados en las microrredes, ventajas y desventajas para cada aplicación, así como los protocolos utilizados por las entidades del sector eléctrico de la República Dominicana.2021esinfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.22206/cyap.2021.v4i1.pp81-95Ciencia, Ingenierías y AplicacionesCiencia, Ingenierías y Aplicacionesurn:issn:2636-2171urn:issn:2636-218XCiencia, Ingenierías y Aplicaciones, 2021, vol. 4, n. 1, p. 81-95info:eu-repo/semantics/openAccessopenAccesscc-by-nc-sahttps://revistas.intec.edu.do/index.php/cite/article/download/1712/2643Industry, innovation and infrastructureInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Análisis de los modos de fallo del sistema de gestión de energía de un CubesatMiguel Aybar MejíaLía Hidalgo de los SantosDiorys Del Rosario PeñalóEdwin SánchezDeyslen Mariano-Hernándezfailure modesenergy management systemsCubeSatnanosatellitessolar panelsbatteriesenergy storageelectricity generationsystem sizingsatellite power systemsGeneradores de energía fotovoltaicaSatélites artificialesEnergía eléctricaSistemas de energía eléctricaUn satélite es un dispositivo que se sitúa en órbita alrededor de la Tierra con fines científicos, militares, educacionales o de comunicaciones. Se pueden clasificar según su peso como: satélites grandes, que pesan más de 1,000 kilogramos (kg), satélites medianos, que pesan entre 500-1,000 kg, y satélites pequeños, que pesan menos de 500 kg. Dentro de los satélites pequeños se encuentran los nanosatélites, los cuales pesan entre 1-10 kg. La principal ventaja que poseen los nanosatélites es que son capaces de realizar misiones complejas a un menor costo. Dentro de las limitaciones que estos presentan es que tienen poca capacidad para captar y almacenar energía debido a su tamaño. Considerando la importancia del sistema de energía durante el funcionamiento de los satélites, este artículo analiza los modos de fallos que se presentan en el sistema y cómo estos afectan a los sistemas de generación y almacenamiento de energía. Para la simulación de estos sistemas se determinaron la cantidad mínima de paneles solares y baterías necesarios para su correcto funcionamiento. Los resultados obtenidos muestran que con este análisis se logra dimensionar correctamente el sistema de gestión de energía, reduciendo el tamaño de estos y a su vez el peso dentro del satélite.Instituto Tecnológico de Santo Domingo (INTEC)2021esinfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.22206/cyap.2021.v4i2.pp5-2Ciencia, Ingenierías y AplicacionesCiencia, Ingenierías y Aplicacionesurn:issn:2636-2171urn:issn:2636-218XCiencia, Ingenierías y Aplicaciones, 2021, vol. 4, n. 2, p. 5-20info:eu-repo/semantics/openAccessopenAccesscc-by-nc-sahttps://revistas.intec.edu.do/index.php/cite/article/download/2249/2747Affordable and clean energyIndustry, innovation and infrastructureInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Análisis de un prototipo virtual de un generador de flujo axial trifásico de 250 w de energía eléctrica para miniturbinas eólicasDeyslen Mariano-HernándezMiguel Aybar-MejíaAlbert Troncoso JiménezRicardo JorgeLuis Alberto Guillermo ManzanilloMiguel BalderaAlexeis Fernández BonillaHumanitiesPhysicsPhilosophyGeneradores eléctricosRecursos energéticos renovablesEnergía eólicaLa demanda de un generador eléctrico de bajo costo para microturbinas eólicas se desarrolla a medida que aumenta la demanda de electricidad. La energía instalada de microturbinas eólicas en todo el mundo supera los 945 MW, con la tendencia mostrando un aumento con el tiempo. Este artículo tiene como objetivo desarrollar un prototipo de un generador de flujo axial trifásico de 250 W para turbinas eólicas de eje vertical u horizontal. Se utiliza la distribución de Weibull para describir las variaciones en la velocidad del viento; la probabilidad anual de velocidades del viento se obtuvo para un escenario específico con el que se calculó la energía total producida por año. Los programas Granta, EMWorks y LTSpice se utilizaron para las simulaciones virtuales. Los materiales fueron seleccionados comparando el precio, las eficiencias eléctricas, las propiedades mecánicas y las variables involucradas en la generación de energía eléctrica. Los resultados muestran una vida útil de 20 años, un análisis rentable y complementario, cumpliendo con políticas sociales y ambientales. La reducción de CO2 estimada es de 0,468 toneladas métricas por año comparada si se genera la misma cantidad electricidad con un generador eléctrico que funcione con combustibles fósiles. El costo de inversión inicial es de US $ 234,78 utilizando imanes de ferrita, correspondiente a un ahorro de US $ 85,72 con respecto al precio regular de un micro generador de la misma capacidad, y un tiempo de recuperación de la inversión es de dos años.2023esinfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.22206/cyap.2023.v6i2.2812Ciencia, Ingenierías y AplicacionesCiencia, Ingenierías y Aplicacionesurn:issn:2636-2171urn:issn:2636-218XCiencia, Ingenierías y Aplicaciones, 2023, vol. 6, n. 2, p. 31-51info:eu-repo/semantics/openAccessopenAccesscc-by-nc-sahttps://revistas.intec.edu.do/index.php/cite/article/download/2812/3371Affordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Desarrollo de una ecuación para el cálculo del factor de fricción en accesorios y piezas especialesJavier García MaimóDeyslen Mariano-HernándezMiguel Aybar-MejíaMartin Meléndez Valenciafriction factorpipe fittingspipe accessoriesDarcy-Weisbach equationenergy lossMoody diagramReynolds numberfully turbulent flowpipe bendsvalvesheat exchangersEn el presente trabajo se desarrolló una ecuación para calcular el factor de fricción para piezas especiales (codos, reducciones de tuberías, llaves de paso) y accesorios (válvulas, difusores de presión, calentadores) utilizando la ecuación de Darcy-Weisbach para obtener un valor estimado de las pérdidas de energía que se tienen cuando un fluido a cierta velocidad y con cierta viscosidad pasa a través de accesorios o piezas especiales. Para llegar a la ecuación se propuso partir de las premisas que toda pérdida de energía por fricción de un fluido es causada por la velocidad, pero se refleja en la presión. Además, se asumió que los accesorios y piezas especiales siempre trabajan en turbulencia total. Para esta investigación se utilizó ingeniería inversa a lo que normalmente se hace al calcular el factor de fricción para las piezas especiales y accesorios que consiste en utilizar el Diagrama de Moody (1944) para estos fines. El diagrama de Moody tiene como abscisa los valores del Número de Reynolds que definen el régimen de velocidad (turbulencia o laminar) de un fluido obteniendo de forma gráfica el valor de fricción. Para desarrollar la ecuación se buscó el valor del factor de fricción para cada valor en mil de Reynolds. Utilizando MATLAB se construyeron varias curvas y se analizó el porcentaje de error versus el diagrama de Moody. La ecuación que tuvo un error de aproximación de fracciones racionales (RAT2) por debajo de 0.99.2024esinfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.22206/cyap.2024.v7i2.3216Ciencia, Ingenierías y AplicacionesCiencia, Ingenierías y Aplicacionesurn:issn:2636-2171urn:issn:2636-218XCiencia, Ingenierías y Aplicaciones, 2024, vol. 7, n. 2, p. 111-135info:eu-repo/semantics/openAccessopenAccesscc-by-nc-sahttps://revistas.intec.edu.do/index.php/cite/article/download/3216/3823Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Analysis of Fractional Dynamical Systems Using Recursive Bayesian Estimation Methods and Response DataKalil ErazoAlberto Di MatteoPol D. SpanosBayesian probabilityRecursive Bayesian estimationEstimationComputer scienceBayes estimatorMathematicsApplied mathematicsStatisticsEngineeringThe research titled Analysis of fractional dynamical systems using recursive Bayesian estimation methods and response data was presented at the Engineering Mechanics Institute Conference and Probabilistic Mechanics & Reliability Conference (EMI/PMC 2024), University of Illinois Urbana-Champaign, Chicago, IL, May 28-31 2024, as part of the Minisymposium Computational methods for stochastic engineering dynamics.2024eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.22206/cyap.2024.v7i2.3338Ciencia, Ingenierías y AplicacionesCiencia, Ingenierías y Aplicacionesurn:issn:2636-2171urn:issn:2636-218XCiencia, Ingenierías y Aplicaciones, 2024, vol. 7, n. 2, p. 139-141info:eu-repo/semantics/openAccessopenAccesscc-by-nc-sahttps://revistas.intec.edu.do/index.php/cite/article/download/3338/3827Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Lead, chromium, nickel, copper and zinc levels in Sargassum species reached the coasts of Dominican Republic during 2019: A preliminary evaluation for the use of algal biomass as fertilizer and animal feedingYaset Rodríguez-RodríguezLuis Enrique Rodríguez de FranciscoInstituto Tecnológico de Santo Domingo (INTEC), Basic and Environmental Sciences Area, Santo Domingo, Dominican RepublicPamela Tejada-TejadaInstituto Tecnológico de Santo Domingo (INTEC), Basic and Environmental Sciences Area, Dominican RepublicInstituto Tecnológico de Santo Domingo (INTEC), Basic and Environmental Sciences Area, Santo Domingo, Dominican RepublicOmar Paíno-PerdomoInstituto Tecnológico de Santo Domingo (INTEC), Basic and Environmental Sciences Area, Santo Domingo, Dominican RepublicCarlos José BoludaInstituto Tecnológico de Santo Domingo (INTEC), Basic and Environmental Sciences Area, Santo Domingo, Dominican RepublicSargassum natansSargassum fluitansheavy metalsleadchromiumnickelcopperzinccadmiumalgal biomassfertilizer safetyfeed safetybioaccumulationLas invasiones repetidas de Sargassum natans y Sargassum fluitans en las costas del Caribe durante los últimos años se han convertido en un problema de primer orden que amenaza al turismo, pesca y fauna local. Se esperan nuevas llegadas masivas de algas que podrían considerarse, en un futuro cercano, un evento normal, con su problemática asociada. Para resolver este problema resulta necesario encontrar soluciones apropiadas que aprovechen la biomasa algal. No obstante, debido a la conocida capacidad de estas algas para acumular metales pesados, las aplicaciones relacionadas con la alimentación animal y la agricultura deben ir precedidas necesariamente de un análisis químico que garantice la inocuidad de la biomasa. En esta investigación se determinaron las concentraciones de plomo (Pb), cromo (Cr), níquel (Ni), cobre (Cu), cadmio (Cd) y el zinc menos tóxico (Zn) en la biomasa de S. natans y S. fluitans que llegaron a las costas de República Dominicana durante 2019. Para ello se utilizó la técnica de espectroscopía de absorción atómica de llama (FAAS). Los resultados mostraron niveles significativos de cobre, aunque la concentración de todos los metales detectados estuvo dentro de los valores considerados normales, lo que refleja la seguridad del material algal, en lo que a estos metales se refiere, para su utilización como fertilizantes y alimentación animal. No se encontraron diferencias significativas en el contenido de estos elementos entre ambas especies.2021eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.24850/j-tyca-2021-03-04Tecnología y ciencias del aguaTecnología y ciencias del aguaurn:issn:0187-8336urn:issn:2007-2422Tecnología y ciencias del agua, 2021, vol. 12, n. 3, p. 124-163info:eu-repo/semantics/openAccessopenAccesscc-by-nc-sahttp://revistatyca.org.mx/index.php/tyca/article/download/2619/2323Q4doajLife below waterClean water and sanitationZero hungerInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Experimental verification of a finite element model based functional observer for structural systemsKalil ErazoEric M. HernandezFinite element methodComputer scienceObserver (physics)Element (criminal law)Structural engineeringEngineeringPhysicsThe objective of this paper is to present the results of an experimental study aimed at verifying the performance of an algorithm developed by one of the authors for state estimation in structural and mechanical systems subject to unmeasured excitations realizations of random processes with known spectral density matrix. The proposed algorithm operates as a modified finite element model of the original system, driven by corrective forces which are linear combinations of the noise contaminated measurements. The proposed method is capable of handling large-scale finite element models, and any quantity in the modified model constitutes an estimate of the corresponding quantity in the system. A laboratory model consisting of an aluminium cantilever beam was used to perform the test, where two types of loading conditions were tested: an impact hammer test and a banded white noise excitation through a shaker. The experimental results of the proposed estimator are compared to other techniques, such as a Luenberger observer and the Kalman filter. The quality displayed by the proposed observer exceeded or was comparable to the compared methods with the advantage of reduced computational cost.2013eninfo:eu-repo/semantics/conferenceObjectproceedings-articlehttps://doi.org/10.2514/6.2013-189754th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2013info:eu-repo/semantics/closedAccessclosedAccessInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Socio-technical transitions and sustainable agriculture in Latin America and the Caribbean: a systematic review of the literature 2010–2021Víctor Gómez-ValenzuelaYuri DuránKaterin RamírezLatin AmericansAgricultureSustainable agricultureSustainable managementSociotechnical systemSustainabilityConceptual frameworkPopulationRegional sciencePolitical scienceEconomic growthGeographyEnvironmental resource managementBusinessEnvironmental planningEconomicsSociologySocial scienceEcologyManagementThe challenges and opportunities Latin American and Caribbean (LAC) countries face to meet sustainable development force nations to seek technological alternatives to ensure better policy design. It also includes technology transfer for the productive inclusion of the rural population in the region. This paper aims to characterize the conceptual frameworks applied to studying socio-technical transitions related to sustainable agriculture in the region. A systematic review literature (SRL) was conducted covering 2010–2021. The main findings suggest that the general ideas of socio-technical transition have been used to study sustainable agriculture in LAC. However, its use has been more implicit than explicit, with some predominance of the Strategic Niche Management (SNM) and the Transition Management Approach (TM) frameworks. In addition, the socio-technical transitions as a straightforward approach have started to be incorporated more clearly after 2020. Finally, the leading technologies to foster socio-technical transitions to sustainable agriculture in the region are related to pest control and soil conservation, so social practices such as certifications have had preponderance in this transition. This paper contributes to the existing literature, broadens the frontier of socio-technical analysis in the transition to sustainable agriculture, and expands our knowledge on applying socio-technical analysis in marginal contexts.2023eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3389/fsufs.2023.1145263Frontiers in Sustainable Food SystemsFrontiers in Sustainable Food Systemsurn:issn:2571-581Xurn:issn:(e-ISSN) 2571-581XFrontiers in Sustainable Food Systems, 2023, vol. 7info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.frontiersin.org/articles/10.3389/fsufs.2023.1145263/pdfQ1doajZero hungerInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Harmonic-Modal Hybrid Reduced Order Model for the Efficient Integration of Non-Linear Soil DynamicsClaudia GermosoJean Louis DuvalFrancisco ChinestaNonlinear systemParametric statisticsResponse analysisModalShear modulusSoil waterMathematicsApplied mathematicsControl theory (sociology)Mathematical analysisStructural engineeringComputer scienceEngineeringGeologyPhysicsMaterials scienceSoil scienceNonlinear behavior of soils during a seismic event has a predominant role in current site response analysis. Soil response analysis, and more concretely laboratory data, indicate that the stress-strain relationship of soils is nonlinear and exhibits hysteresis. An equivalent linearization method, in which non-linear characteristics of shear modulus and damping factor of soils are modeled as equivalent linear relations of the shear strain is usually applied, but this assumption, however, may lead to a conservative approach of the seismic design. In this paper, we propose an alternative analysis formulation, able to address forced response simulation of soils exhibiting their characteristic nonlinear behavior. The proposed approach combines ingredients of modal and harmonic analyses enabling efficient time-integration of nonlinear soil behaviors based on the offline construction of a dynamic response parametric solution by using Proper Generalized Decomposition (PGD)-based model order reduction technique.2020eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/app10196778Applied SciencesApplied Sciencesurn:issn:2076-3417Applied Sciences, 2020, vol. 10, n. 19, p. 6778info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/2076-3417/10/19/6778/pdf?version=1601203442Q2doajLife in LandInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal A review of energy consumption forecasting in smart buildings: Methods, input variables, forecasting horizon and metricsDeyslen Mariano-HernándezLuís Hernández-CallejoFélix Santos GarcíaÓscar Duque-PérezÁngel Zorita-LamadridEnergy consumptionConsumption (sociology)Energy (signal processing)Architectural engineeringComputer scienceEngineeringMathematicsBuildings are among the largest energy consumers in the world. As new technologies have been developed, great advances have been made in buildings, turning conventional buildings into smart buildings. These smart buildings have allowed for greater supervision and control of the energy resources within the buildings, taking steps to energy management strategies to achieve significant energy savings. The forecast of energy consumption in buildings has been a very important element in these energy strategies since it allows adjusting the operation of buildings so that energy can be used more efficiently. This paper presents a review of energy consumption forecasting in smart buildings for improving energy efficiency. Different forecasting methods are studied in nonresidential and residential buildings. Following this, the literature is analyzed in terms of forecasting objectives, input variables, forecasting methods and prediction horizon. In conclusion, the paper examines future challenges for building energy consumption forecasting.2020eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/app10238323Applied Sciences (Switzerland)Applied Sciences (Switzerland)urn:issn:2076-3417Applied Sciences (Switzerland), 2020, vol. 10, n. 23, p. 8323info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.3390/app10238323Q2doajAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal A data-driven forecasting strategy to predict continuous hourly energy demand in smart buildingsDeyslen Mariano-HernándezLuís Hernández-CallejoMartín SolísÁngel Zorita-LamadridÓscar Duque-PérezLuis Gerardo GonzalezFélix Santos GarcíaEnergy consumptionComputer scienceDemand forecastingConsumption (sociology)Energy managementEnergy (signal processing)Operations researchEngineeringSmart buildings seek to have a balance between energy consumption and occupant comfort. To make this possible, smart buildings need to be able to foresee sudden changes in the building’s energy consumption. With the help of forecasting models, building energy management systems, which are a fundamental part of smart buildings, know when sudden changes in the energy consumption pattern could occur. Currently, different forecasting methods use models that allow building energy management systems to forecast energy consumption. Due to this, it is increasingly necessary to have appropriate forecasting models to be able to maintain a balance between energy consumption and occupant comfort. The objective of this paper is to present an energy consumption forecasting strategy that allows hourly day-ahead predictions. The presented forecasting strategy is tested using real data from two buildings located in Valladolid, Spain. Different machine learning and deep learning models were used to analyze which could perform better with the proposed strategy. After establishing the performance of the models, a model was assembled using the mean of the prediction values of the top five models to obtain a model with better performance.2021eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/app11177886Applied Sciences (Switzerland)Applied Sciences (Switzerland)urn:issn:2076-3417Applied Sciences (Switzerland), 2021, vol. 11, n. 17, p. 7886info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/2076-3417/11/17/7886/pdfQ2doajAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Modeling and control of a microgrid connected to the intec university campusDeyslen Mariano-HernándezMiguel Aybar-MejíaLesyani Teresa León ViltreFélix Santos GarcíaFrancisco A. S. NevesVíctor Alonso‐GómezMicrogridComputer scienceRenewable energyPhotovoltaic systemBattery (electricity)Power (physics)Automotive engineeringEngineeringElectrical engineeringA smart microgrid is a bidirectional electricity generation system—a type of system that is becoming more prevalent in energy production at the distribution level. Usually, these systems have intermittent renewable energy sources, e.g., solar and wind energy. These low voltage networks contribute to decongestion through the efficient use of resources within the microgrid. In this investigation, an energy management strategy and a control scheme for DG units are proposed for DC/AC microgrids. The objective is to implement these strategies in an experimental microgrid that will be developed on the INTEC university campus. After presenting the microgrid topology, the modeling and control of each subsystem and their respective converters are described. All possible operation scenarios, such as islanded or interconnected microgrids, different generation-load possibilities, and state-of-charge conditions of the battery, are verified, and a seamless transition between different operation modes is ensured. The simulation results in Matlab Simulink show how the proposed control system allows transitions between the different scenarios without severe transients in the power transfer between the microgrid and the low voltage network elements.2021eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/app112311355Applied Sciences (Switzerland)Applied Sciences (Switzerland)urn:issn:2076-3417Applied Sciences (Switzerland), 2021, vol. 11, n. 23, p. 11355info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/2076-3417/11/23/11355/pdf?version=1638566352Q2doajAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Data Completion, Model Correction and Enrichment Based on Sparse Identification and Data AssimilationClaudia GermosoDaniele Di LorenzoVictor ChampaneyElías CuetoFrancisco ChinestaMinificationComputer scienceAlgorithmDisplacement (psychology)StiffnessIdentification (biology)Data assimilationMatrix (chemical analysis)Mathematical optimizationMathematicsStructural engineeringEngineeringMany models assumed to be able to predict the response of structural systems fail to efficiently accomplish that purpose because of two main reasons. First, some structures in operation undergo localized damage that degrades their mechanical performances. To reflect this local loss of performance, the stiffness matrix associated with the structure should be locally corrected. Second, the nominal model is sometimes too coarse grained for reflecting all structural details, and consequently, the predictions are expected to deviate from the measurements. In that case, there is no small region of the model that needs to be repaired, but the entire domain needs to be repaired; therefore, the entire structure-stiffness matrix should be corrected. In the present work, we propose a methodology for locally correcting or globally enriching the models from collected data, which is, upon its turn, completed beyond the sensor’s location. The proposed techniques consist in the first case of an L1-minimization procedure that, with the support of data, aims at the same time period to detect the damaged zone in the structure and to predict the correct solution. For the global enrichment, instead, the methodology consists of an L2-minimization procedure with the support of measurements. The results obtained showed, for the local problem, a correction up to 90% with respect to the initially incorrectly predicted displacement of the structure, and for the global one, a correction up to 60% was observed (this results concern the problems considered in the present study, but they depend on different factors, such as the number of data used, the geometry or the intensity of the damage). The benefits and potential of such techniques are illustrated on four different problems, showing the large generality and adaptability of the methodology.2022eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/app12157458Applied SciencesApplied Sciencesurn:issn:2076-3417Applied Sciences, 2022, vol. 12, n. 15, p. 7458info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/2076-3417/12/15/7458/pdf?version=1658910992Q2doajInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Assessment of PM10 and PM2.5 Concentrations in Santo Domingo: A Comparative Study Between 2019 and 2022Ulises Jauregui-HazaSolhanlle Bonilla-DuarteCarime Matos-EspinosaRamón DelanoyClaudia Caballero-GonzálezAnel Hernández-GarcesJosé-Ramón Martínez-BatllePM10PM2.5particulate matterair qualitySaharan dustaerosol optical depthmeteorological factorsrainfallatmospheric pressurespatiotemporal variationurban air pollutionSanto DomingoCaribbean cities2025info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/atmos16060734AtmosphereAtmosphereurn:issn:2073-4433Atmosphere, 2025info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.3390/atmos16060734Q2doajClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Disaggregated Empirical Fragility Modeling and Bayesian Parameter Updating for Buildings in HaitiKalil ErazoMarc-Ansy LaguerreFragilityBayesian probabilityBaseline (sea)Markov chainRange (aeronautics)Bayesian inferenceVulnerability (computing)Incremental Dynamic AnalysisQuantifying the vulnerability of buildings is fundamental to seismic risk mitigation, and fragility curves are among the most widely used tools for this purpose. With the growing availability and access to post-earthquake damage data from reconnaissance campaigns and measured ground motion parameters, new opportunities have emerged to derive and refine fragility models, improving the seismic damage prediction models and the quantification of seismic risk. Following the 2010 Haiti earthquake, extensive datasets were compiled that include both structural and geotechnical characteristics, as well as observed damage states for a wide range of building classes. In this study, two such datasets are employed in a complementary manner to develop disaggregated fragility models to probabilistically quantify structural damage conditioned on specific building and site attributes, rather than parameters averaged over an entire building stock. The first dataset comprises approximately 335,000 building assessment tags collected, and it is used to develop a set of baseline fragility curves conditioned on parameters such as number of stories, soil type, wall system, topography, roof type, and building age. The second dataset comprises 170 reinforced concrete buildings with more detailed and reliable information, and it is used to update the baseline fragility models using Bayesian estimation. The Bayesian updating introduces fragilities specific to the presence of captive columns and priority index, a metric representing the ratio of wall and column area to floor area. Bayesian updating is performed within a Markov Chain Monte Carlo (MCMC) framework using the Metropolis–Hastings algorithm. The resulting fragility functions reveal the high vulnerability of the Haitian building stock and demonstrate how multiple site and structural attributes influence seismic fragility.2026eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/buildings16061137BuildingsBuildingsurn:issn:2075-5309Buildings, 2026, vol. 16, n. 6, p. 1137info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/2075-5309/16/6/1137/pdf?version=1773371176Q1doajSustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal The Incredible and Sad Story of Boca de Cachón: How a Rural Community in the Hispaniola Is in a Prolonged, Heartless, and Predictable Climate CrisisVictor Gomez-ValenzuelaSolhanlle Bonilla-DuarteKaterin Ramirezclimate variabilityfloodsclimate-induced displacementsocio-economic impactsrural communitiesclimate change adaptationcapacity buildingRamsar siteDominican RepublicThis article aims to briefly review the socio-economic impact caused by the flooding of Lake Enriquillo on the inhabitants of Boca Cachón due to the complex local phenomenon related to climate variability. Between 2003 and 2014, Boca de Cachón and the communities surrounding Lake Enriquillo were deeply affected by flooding of the Lake’s rising waters. Lake Enriquillo is the largest wetland in the Caribbean and the first designated RAMSAR site. In turn, Boca de Cachón could be considered the first human settlement formally displaced because of climate variability in the Dominican Republic and probably one of the first in the Americas in the twenty-first century. Boca de Cachón is a rural Municipal District located to the northwest of the municipality of Jimaní, with a population of around 3000 inhabitants on the southwest border with the Republic of Haiti and located in the Biosphere Reserve Jaragua-Bahoruco-Enriquillo. Given the future climatic scenarios for the Dominican Republic and the possible climate change that could exacerbate by excess or, by default, the socio-environmental problems in the Lake’s belt, it is necessary to support the communities in their capacity-building processes. The lessons learned from Boca de Cachón can serve as a learning space for adaptation processes in rural environments in the Caribbean region.2021eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/cli9120182ClimateClimateurn:issn:2225-1154Climate, 2021, vol. 9, n. 12, p. 182info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/2225-1154/9/12/182/pdf?version=1640139241Q2doajClimate actionSustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Non-Intrusive In-Plane-Out-of-Plane Separated Representation in 3D Parametric ElastodynamicsClaudia GermosoGiacomo QuarantaJean Louis DuvalFrancisco ChinestaDiscretizationParametric statisticsPolygon meshSimple (philosophy)Degrees of freedom (physics and chemistry)Representation (politics)Computer sciencePlane (geometry)AlgorithmSoftwareParametric modelIntrusivenessTheoretical computer scienceApplied mathematicsMathematical optimizationMathematicsGeometryMathematical analysisComputer graphics (images)PhysicsMesh-based solution of 3D models defined in plate or shell domains remains a challenging issue nowadays due to the fact that the needed meshes generally involve too many degrees of freedom. When the considered problem involves some parameters aiming at computing its parametric solution the difficulty is twofold. The authors proposed, in some of their former works, strategies for solving both, however they suffer from a deep intrusiveness. This paper proposes a totally novel approach that from any existing discretization is able to reduce the 3D parametric complexity to the one characteristic of a simple 2D calculation. Thus, the 3D complexity is reduced to 2D, the parameters included naturally into the solution, and the procedure applied on a discretization performed with a standard software, which taken together enable real-time engineering.2020eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/computation8030078ComputationComputationurn:issn:2079-3197Computation, 2020, vol. 8, n. 3, p. 78info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.3390/computation8030078Q2doajPeace, Justice and strong institutionsInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal A review of low-voltage renewable microgrids: Generation forecasting and demand-side management strategiesDeyslen Mariano-HernándezMiguel Aybar-MejíaJunior VillanuevaFélix Santos GarcíaÁngel Molina‐GarcíaMicrogridRenewable energyDistribution management systemVariety (cybernetics)Demand responseDistributed generationComputer scienceElectric power systemEnvironmental economicsReliability engineeringRisk analysis (engineering)EngineeringSystems engineeringPower (physics)Electrical engineeringBusinessElectricityEconomicsIt is expected that distribution power systems will soon be able to connect a variety of microgrids from residential, commercial, and industrial users, and thus integrate a variety of distributed generation technologies, mainly renewable energy sources to supply their demands. Indeed, some authors affirm that distribution networks will propose significant changes as a consequence of this massive integration of microgrids at the distribution level. Under this scenario, the control of distributed generation inverters, demand management systems, renewable resource forecasting, and demand predictions will allow better integration of such microgrid clusters to decongest power systems. This paper presents a review of microgrids connected at distribution networks and the solutions that facilitate their integration into such distribution network level, such as demand management systems, renewable resource forecasting, and demand predictions. Recent contributions focused on the application of microgrids in Low-Voltage distribution networks are also analyzed and reviewed in detail. In addition, this paper provides a critical review of the most relevant challenges currently facing electrical distribution networks, with an explicit focus on the massive interconnection of electrical microgrids and the future with relevant renewable energy source integration.2021eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/electronics10172093Electronics (Switzerland)Electronics (Switzerland)urn:issn:2079-9292Electronics (Switzerland), 2021, vol. 10, n. 17, p. 2093info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/2079-9292/10/17/2093/pdf?version=1630421634Q2doajInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Cybersecurity in MAS-Based Adaptive Protection for Microgrids—A ReviewDeyslen Mariano-HernándezMiguel Aybar-MejíaArmando J. Taveras CruzCarlos G. Colon-GonzálezJesús C. HernandezFabio Andrade-RengifoLuis Hernández-Callejomicrogrid cybersecuritymulti-agent systemsadaptive protectioncyberattacksdistributed energy resourcesanomaly detectionsmart grid securitymicrogrid resilienceWith the ever-growing reliance on digital communication networks in microgrids equipped with digital control systems and highly distributed energy resources, the threat of cyberattacks is more present than ever. Therefore, a robust cybersecurity response framework could be in place to secure smart grids, including microgrids, against cyberattacks. Adaptive protection systems, which are crucial for microgrid reliability and resilience, are also vulnerable. On the other hand, multi-agent systems are often employed in microgrid adaptive protection, providing a decentralized and cooperative framework where intelligent agents can monitor system conditions, exchange information, and detect anomalies. Many researchers in the literature have focused on addressing microgrid protection with multi-agent systems against physical faults in scenarios with various degrees of distributed energy resource penetration. Other research efforts have leveraged multi-agent systems, as well as technologies such as artificial intelligence, machine learning, advanced encryption, and authentication, to enhance the capabilities of microgrids for maintaining resilient operation under cyberattacks. However, both physical and cybersecurity anomalies have rarely been tackled in the same scheme. This paper aims to provide a systematic review of the use of cybersecurity strategies for multi-agent-based adaptive protection schemes. From the results of this study, it was found that most research efforts do not address microgrid protection with an integrated approach, considering both physical and cybersecurity threats, as well as the application of established industry communication and cybersecurity standards. All of this, while maintaining scalability and performance, is crucial.2025eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/electronics14183663ElectronicsElectronicsurn:issn:2079-9292Electronics, 2025, vol. 14, n. 18, p. 3663info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/2079-9292/14/18/3663/pdf?version=1758030349Q2Industry, innovation and infrastructureInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal A Methodological Proposal for Implementing Demand-Shifting Strategies in the Wholesale Electricity MarketMáximo A. Domínguez-GarabitosMiguel Aybar-MejíaVíctor S. Ocaña-GuevaraFélix Santos-GarcíaAdriana Arango-Manriquedemand shiftingdemand responsewholesale electricity marketflexible demandelasticity of substitutionrenewable energy quotasCO2 emission reductionincentive mechanismsenergy transitiongeneration cost minimizationThe energy transition has shown that fossil generation can be complemented with renewable energy and other resources capable of providing flexibility to the energy system’s operation, in compliance with the wholesale electricity market’s rules. This paper proposes a market-based methodology for introducing flexible demand in the energy dispatch, optimizing the scheduling of electricity system operation in the short-term, and considers the challenge of implementing an incentive scheme for participants in demand-response programs. The scheme includes the criteria of the elasticity of substitution and a renewable energy quota. This methodology is focused on a strategic demand shift to minimize the cost of supply; increase the dispatch of renewable energy; control CO2 emissions; and satisfy the generation, demand, and transmission operating constraints. These conditions encourage the development of a simulation tool that allows a sensitivity analysis to aid decision-making by operators and agents. The proposed methodology optimizes the operational cost of generation supply and specific performance indicators to determine the percentages of demand shift, the amount of CO2 emissions, the ratio of unserved power, the demand benefits obtained from an incentive scheme, and the natural market behavior.2022eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/en15041307EnergiesEnergiesurn:issn:1996-1073Energies, 2022, vol. 15, n. 4, p. 1307info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/1996-1073/15/4/1307/pdf?version=1645020706Q1doajAffordable and clean energyClimate actionIndustry, innovation and infrastructureInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Implications of 5G Technology in the Management of Power Microgrids: A Review of the LiteratureDeyslen Mariano-HernándezMiguel Aybar-MejíaArmando J. Taveras CruzYobany Díaz RoqueKarla Coste RamírezJosé Gabriel DuránDinelson Rosario WeeksLuis Hernández-Callejo5Gmicrogrid managementcommunication delayInternet of Thingssmart gridreal-time monitoringmicrogrid controlnetwork resilienceSustainable Development GoalsMicrogrids have a lot to offer, including helping smart grids operate on distribution grids or bringing electricity to some cities. The management system receives and transmits different states. This is because the elements adapt to the conditions of the network in the shortest possible time. The 5G communication technology has high transmission speed, owing to which it can improve equipment connectivity and reduce latency, allowing the real-time analysis and monitoring of electrical microgrids considerably better than earlier generations. In addition, it is estimated that, in the near future, many cities will be connected using communication systems that allow the interconnection of different systems safeguarding the connectivity, speed, and response time of these elements in an electrical system, smart grid, or microgrids with the growing development of the Internet of Things. For this reason, it is essential to analyze the integration of 5G technology to improve the management of microgrids. This literature review analyzes and presents the advantages of using 5G technologies in reducing communication latency and improving connectivity to enhance microgrids’ control and management. The active implementation of 5G in the management and control of microgrids increases the transmission and reception of data and states, reduces latency, and allows for a greater density of information, collaborating positively with resilience to the various changes that microgrids can suffer in continuous working conditions. The implementation of 5G allows electrical microgrids to be more resilient in their management and control, directly and indirectly impacting the sustainable development goals.2023eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/en16042020EnergiesEnergiesurn:issn:1996-1073Energies, 2023, vol. 16, n. 4, p. 2020info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/1996-1073/16/4/2020/pdf?version=1676643895Q1doajIndustry, innovation and infrastructureAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Microgrid Management Strategies for Economic Dispatch of Electricity Using Model Predictive Control Techniques: A ReviewMiguel Aybar-MejíaJuan Moreno-CastroVíctor Samuel Ocaña GuevaraLesyani Teresa León ViltreYandi Gallego LanderaOscar Cuaresma ZevallosMicrogridModel predictive controlComputer scienceEnergy managementSoftware deploymentParticle swarm optimizationDistributed generationEconomic dispatchElectricity generationElectric power systemControl engineeringMathematical optimizationControl (management)EngineeringRenewable energyEnergy (signal processing)Power (physics)Artificial intelligenceMachine learningIn recent years, microgrid (MG) deployment has significantly increased, utilizing various technologies. MGs are essential for integrating distributed generation into electric power systems. These systems’ economic dispatch (ED) aims to minimize generation costs within a specific time interval while meeting power generation constraints. By employing ED in electric MGs, the utilization of distributed energy resources becomes more flexible, enhancing energy system efficiency. Additionally, it enables the anticipation and proper utilization of operational limitations and encourages the active involvement of prosumers in the electricity market. However, implementing controllers and algorithms for optimizing ED requires the independent handling of constraints. Numerous algorithms and solutions have been proposed for the ED of MGs. These contributions suggest utilizing techniques such as particle swarm optimization (PSO), mixed-integer linear programming (MILP), CPLEX, and MATLAB. This paper presents an investigation of the use of model predictive control (MPC) as an optimal management tool for MGs. MPC has proven effective in ED by allowing the prediction of environmental or dynamic models within the system. This study aims to review MGs’ management strategies, specifically focusing on MPC techniques. It analyzes how MPC has been applied to optimize ED while considering MGs’ unique characteristics and requirements. This review aims to enhance the understanding of MPC’s role in efficient MG management, guiding future research and applications in this field.2023eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/en16165935EnergiesEnergiesurn:issn:1996-1073Energies, 2023, vol. 16, n. 16, p. 5935info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/1996-1073/16/16/5935/pdf?version=1691738996Q1doajAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Deviation-Based Operating Reserve Sizing and Market Co-Optimization for Data-Constrained Island Power SystemsRené Báez-SantanaMáximo A. Domínguez-GarabitosMiguel E. Aybar-MejíaVíctor S. Ocaña-GuevaraYeulis V. Rivas-PeñaRafael O. Uceta-Acostaisland power systemsreserve allocationreserve pricingvariable renewable energylow-inertia power systemssmall island developing statesmarket efficiencyreliabilityData-constrained island power systems with increasing shares of variable renewable energy (VRE) face growing challenges in maintaining reliability while preserving market efficiency. Existing reserve sizing practices typically rely on either fixed deterministic rules or data-intensive probabilistic methods, both presenting practical limitations in Small Island Developing States (SIDS). This paper develops a market-based framework for the co-optimization of energy and operating reserves in low-inertia island power systems, in which reserve requirements are established using historically observed extreme generation or load deviations that represent operationally validated high-risk system conditions, while reserve allocation and pricing emerge from the co-optimization process. By relying on observed operational variability, the proposed approach avoids explicit probabilistic uncertainty modeling while retaining sensitivity to system stress conditions. The approach is evaluated using a stylized island power system representative of Caribbean SIDS. Results show that reserve requirements are highly sensitive to operating conditions, reaching up to 26.7% of demand under high variability and significantly exceeding conventional fixed reserve criteria. The framework reduces non-served energy, improves reserve allocation efficiency, and generates scarcity-consistent reserve prices under stressed conditions. These findings demonstrate that the proposed methodology provides a practical intermediate solution between deterministic and probabilistic reserve sizing approaches while remaining suitable for data-constrained island power systems.2026eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/en19133204EnergiesEnergiesurn:issn:1996-1073Energies, 2026, vol. 19, n. 13, p. 3204info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.3390/en19133204Q1doajIndustry, innovation and infrastructureAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Urban Forest Sustainability in Residential Areas in the City of Santo DomingoVíctor Gómez-ValenzuelaSolhanlle Bonilla-DuarteAlma-Liz Vargas-de la MoraAgustín García-Garcíaresidential areasecosystem servicestree managementresident perceptionssocioeconomic factorsproperty ownershipclimate resilienceurban planningSanto DomingoCities are territories vulnerable to climate change. An alternative to increase resilience and mitigate the effects of the climate context is urban forest planning to increase ecosystem services. This research constructed a forest cover sustainability index, based on 147 semi-structured interviews with residents of four residential areas of the city of Santo Domingo (Gazcue, Zona Colonial, Ciudad Nueva, and San Carlos), in which information was collected based on both benefit perception and tree management in their home and nearby public areas. The socioeconomic characteristics of the population and the information gathered from the measurements of the urban forest in both public and private areas of the city during the 2016–2019 period were considered, including these four residential areas, which established the ecosystem services provided by the urban forest. The results showed that Gazcue had a higher value in the forest cover sustainability index. The factors that influenced this result were: job stability, medium-high income, and property ownership. Likewise, the added value of the territory, whether in terms of tourism or the socioeconomic value of the population that inhabits it, is closely related to a greater attention to urban planning, prioritizing the conservation and landscape harmony that the arboreal component can provide. In conclusion, urban forest planning in cities should consider tree species, the design and structure of spatial arrangements, and a competent legal framework that can meet the challenges of territorial sustainability and contribute to the resilience and mitigation of climate change impacts.2021eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/f12070884ForestsForestsurn:issn:1999-4907Forests, 2021, vol. 12, n. 7, p. 884info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/1999-4907/12/7/884/pdf?version=1625632351Q1doajSustainable cities and communitiesLife on landInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Contribution of Urban Forests to the Ecosystem Service of Air Quality in the City of Santo Domingo, Dominican RepublicSolhanlle Bonilla-DuarteClaudia Caballero GonzálezLeonardo Cortés RodríguezUlises Javier Jáuregui-HazaAgustín García-Garcíaurban forestsecosystem servicesair qualityair pollutant removalgreen infrastructureforest covernitrogen dioxidesulfur dioxidecarbon monoxideurban planningSanto Domingo2021info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/f12091249ForestsForestsurn:issn:1999-4907Forests, 2021info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/1999-4907/12/9/1249/pdf?version=1631851840Q1doajSustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Perception of Ecosystem Services and Adaptation to Climate Change: Mirador Sur Park in Santo DomingoSolhanlle Bonilla-DuarteYolanny Rojas ManceboAlma Liz Vargas-de la MoraAgustín García-Garcíaecosystem servicesclimate change adaptationurban forestsSanto Domingocitizen perceptionsgreen infrastructurecarbon sequestrationgreenhouse gas removalpark visitorsco-managementnature-based solutionsurban resilienceland use change2022info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/f13040587ForestsForestsurn:issn:1999-4907Forests, 2022info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/1999-4907/13/4/587/pdf?version=1649413014Q1doajSustainable cities and communitiesClimate actionLife on landInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Urban Forests as Socio-Ecological Systems and Their Role in Ecosystem Services Provision and Climate Change Adaptation: A ReviewSolhanlle Bonilla-DuarteLuis Alejandro Acosta-MartínezUlises J. Jauregui-Hazaurban forestssocial-ecological systemsecosystem servicesclimate change adaptationurban green infrastructurecarbon sequestrationecosystem disservicesallergenic pollenurbanizationLatin America and the Caribbeantransdisciplinarity2026info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/f17050584ForestsForestsurn:issn:1999-4907Forests, 2026info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.3390/f17050584Q1Sustainable cities and communitiesLife on landClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Derivative-Free Conformable Iterative Methods for Solving Nonlinear EquationsGiro CandelarioAlicia CorderoJuan R. TorregrosaMaría P. Vassilevaconformable fractional derivativederivative-free iterative methodsnonlinear equationssecant methodtranscendental equationsnonlinear algebraic equationsconvergence analysisoptimal methods2023info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/fractalfract7080578Fractal and FractionalFractal and Fractionalurn:issn:2504-3110Fractal and Fractional, 2023info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/2504-3110/7/8/578/pdf?version=1690452909Q2doajInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Solving Nonlinear Transcendental Equations by Iterative Methods with Conformable Derivatives: A General ApproachGiro CandelarioAlicia CorderoJuan R. TorregrosaMaría P. Vassilevanonlinear transcendental equationsconformable fractional derivativemultipoint iterative methodshigher-order iterative methodsconvergence analysisconvergence orderfractional derivativesCaputo fractional derivativeRiemann-Liouville fractional derivativestability2023info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/math11112568MathematicsMathematicsurn:issn:2227-7390Mathematics, 2023info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/2227-7390/11/11/2568/pdf?version=1685948626Q2doajInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Multipoint Fractional Iterative Methods with (2α + 1)th-Order of Convergence for Solving Nonlinear ProblemsGiro CandelarioAlicia CorderoJuan R. Torregrosamultipoint iterative methodsfractional derivativesnonlinear equationsroot findingconvergence orderconvergence analysissensitivity to initial conditions2020info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/math8030452MathematicsMathematicsurn:issn:2227-7390Mathematics, 2020info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/2227-7390/8/3/452/pdf?version=1585281974Q2doajInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Short-Term Trace Element Distribution Following Application of Sargassum-Based Liquid Biofertilizer in a Soil–Plant–Tomato Fruit SystemYaset Rodríguez-RodríguezUlises Javier Jáuregui-HazaMáximo Elías Reynoso OrtegaPamela Tejada-TejadaGustavo GandiniLuis Enrique Rodríguez de FranciscoSargassumliquid biofertilizeranaerobic fermentationtrace elementsheavy metalsarseniccadmiumleadtomatosoil macronutrientsmetal accumulation in plants2026info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/plants15060901PlantsPlantsurn:issn:2223-7747Plants, 2026info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/2223-7747/15/6/901/pdfQ1doajpubmedZero hungerResponsible consumption and productionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal At a Conservation Crossroad: The Bahoruco-Jaragua-Enriquillo Biosphere Reserve in the Dominican RepublicVíctor Gómez-ValenzuelaSolhanlle Bonilla-DuarteFrancisco AlpízarKaterin RamirezHarro van Lentewillingness to paycontingent valuationecosystem servicesbiodiversity conservationecological restorationsustainable developmentecosystem services valuationnatural resource conflictsDominican RepublicThis paper assesses the Dominican Republic’s willingness to pay (WTP) for a conservation, restoration, and sustainable development program for the Bahoruco-Jaragua-Enriquillo Biosphere Reserve (RBJBE). Created in 2002, the RBJBE covers approximately 4858 km2, of which approximately 900 km2 correspond to the sea surface. With three core conservation zones, the RBJBE constitutes a complex space with a history of conflicts rooted in exploiting natural resources and social and economic issues. At the same time, it is a biodiversity hotspot of global importance. We present a Contingent Valuation Method to estimate the WTP for a conservation and restoration program called PROBIOSFERA. The non-parametric and parametric estimates of the WTP are DOP 165.00 (≈USD 2.94) and DOP 181.88 (≈USD 3.25), respectively. The socioeconomic variables that positively affect the WTP are income level, educational level, and age. The ecosystem services that are statistically related to WTP are the provisioning and supporting services. Regardless of the monetary valuation scenarios defined, the estimated annual monetized aggregated welfare associated with the RBJBE for Dominican society is DOP 7.2 billion (≈USD 128.1 million).2021eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/su131911030SustainabilitySustainabilityurn:issn:2071-1050Sustainability, 2021, vol. 13, n. 19, p. 11030info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/2071-1050/13/19/11030/pdf?version=1633433931Q1doajLife on landInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal A Review of Trends in the Energy Use of Biomass: The Case of the Dominican RepublicHugo Guzmán-BelloMiguel Aybar-MejíaIosvani López-DíazJose Atilio de Friasbiomass residuesbiomass energyrenewable energybiomass supply chainlogisticsbiomass conversion technologiesgreenhouse gas emissionsenergy efficiencyDominican Republicbiomass estimationThis review examines the use of residual biomass as a renewable resource for energy generation in the Dominican Republic. The odology includes a thorough examination of scientific publications in recent years about logistics operations. The use of mathematical models can be beneficial for the selection of areas with a high number of residual biomass and processing centers; for the design of feedstock allocation; for the planning and selection of the mode of transport; and for the optimization of the supply chain, logistics, cost estimation, availability of resources, energy efficiency, economic performance, and environmental impact assessment. It is also essential to consider the exhaustive analysis of the most viable technological solutions among the conversion processes, in order to guarantee the minimum emissions of polluting or greenhouse gases. In addition, this document provides a critical review of the most relevant challenges that are currently facing logistics linked to the assessment of biomass in the Dominican Republic, with a straightforward approach to the complementarity and integration of non-manageable renewable energy sources.2022eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/su14073868SustainabilitySustainabilityurn:issn:2071-1050Sustainability, 2022, vol. 14, n. 7, p. 3868info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/2071-1050/14/7/3868/pdf?version=1648172455Q1Responsible consumption and productionAffordable and clean energyIndustry, innovation and infrastructureInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Analysis of the Integration of Drift Detection Methods in Learning Algorithms for Electrical Consumption Forecasting in Smart BuildingsDeyslen Mariano-HernándezLuís Hernández-CallejoMartín SolísÁngel Zorita-LamadridÓscar Duque-PérezLuis Gerardo GonzalezFélix Santos GarcíaÁlvaro JaramilloAdalberto Ospino CastroVíctor Alonso‐GómezHugo Jose BelloRetrainingDecision treeElectricityExploitComputer scienceEnergy consumptionConsumption (sociology)Tree (set theory)Industrial engineeringMachine learningRisk analysis (engineering)EngineeringBuildings are currently among the largest consumers of electrical energy with considerable increases in CO2 emissions in recent years. Although there have been notable advances in energy efficiency, buildings still have great untapped savings potential. Within demand-side management, some tools have helped improve electricity consumption, such as energy forecast models. However, because most forecasting models are not focused on updating based on the changing nature of buildings, they do not help exploit the savings potential of buildings. Considering the aforementioned, the objective of this article is to analyze the integration of methods that can help forecasting models to better adapt to the changes that occur in the behavior of buildings, ensuring that these can be used as tools to enhance savings in buildings. For this study, active and passive change detection methods were considered to be integrators in the decision tree and deep learning models. The results show that constant retraining for the decision tree models, integrating change detection methods, helped them to better adapt to changes in the whole building’s electrical consumption. However, for deep learning models, this was not the case, as constant retraining with small volumes of data only worsened their performance. These results may lead to the option of using tree decision models in buildings where electricity consumption is constantly changing.2022eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/su14105857Sustainability (Switzerland)Sustainability (Switzerland)urn:issn:2071-1050Sustainability (Switzerland), 2022, vol. 14, n. 10, p. 5857info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/2071-1050/14/10/5857/pdf?version=1652340106Q1doajAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Biomass Energy Potential of Agricultural Residues in the Dominican RepublicHugo Guzmán-BelloMáximo Domínguez-GarabitosMiguel Aybar-MejíaIosvani López-DíazJose Atilio de Friasagricultural residuesbioenergy potentialsugarcane wasterice strawcoconut wasteenergy potential assessmentbiomass-to-energy conversionhybrid renewable energy systemsdistributed generationelectricity supply reliabilityDominican RepublicThe Dominican Republic has significant potential for energy generation from residual biomass, with sugarcane, rice, and coconut waste having the highest energy potential. The Eastern, Northeastern, and Southern regions were identified as the areas with the most significant potential for energy generation. This potential can be harnessed to complement intermittent or unmanageable renewable energies in distributed generation networks. Biomass generation plants can be hybridized with other sources, such as wind and solar, to provide a more stable and reliable electricity supply. The methodology developed to evaluate the energy potential of residual biomass in the Dominican Republic integrates a rigorous review of the literature and agricultural databases, incorporating criteria such as annual production, residue-to-product ratio, higher calorific value, and dry matter content, culminating in a formula that synthesizes normalized data to optimize the selection and projection of biomass sources based on their potential energy contribution. The study found that the Dominican Republic has significant potential for energy generation from residual biomass, which can be leveraged to provide a more stable and reliable electricity supply.2023eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/su152215847SustainabilitySustainabilityurn:issn:2071-1050Sustainability, 2023, vol. 15, n. 22, p. 15847info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/2071-1050/15/22/15847/pdf?version=1699678513Q1Affordable and clean energyZero hungerClimate actionResponsible consumption and productionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Impact of Tourist Areas on the Electrical Grid: A Case Study of the Southern Dominican RepublicGiuseppe Sbriz-ZeitunDeyslen Mariano-HernándezMiguel Aybar-MejíaRandy AndrésAlam Cabral-SotoCarlos MontásWilmer-Johann Núñez-GarcíaElvin Arnaldo Jiménez Matosvoltage stabilityfrequency stabilitypower system expansion planningvoltage profiletransmission line loadingrenewable energy integrationquasi-dynamic simulationThe growing integration of tourist areas and complexes increases the demand for electrical power systems. This increased demand may represent a vulnerability to voltage and frequency stability in electrical grids, where these parameters are essential for an optimal and continuous supply of electrical energy. The Dominican Republic has begun a tourist expansion process in areas that were previously not commercially exploited. Based on the factors mentioned above, this article’s objective was to analyze the impact caused by the increase in electricity demand due to the tourism sector, using the Enriquillo Region of the Dominican Republic as a case study. The impacts of this expansion on the voltage profiles and the system’s frequency were determined. The methodology consisted of obtaining information on the mathematical model of the system to evaluate the expansion plan for the study period and the projection of the demand of the grid. The complete system was modeled with this information, including expansion and possible renewable generators. Finally, the flow of charges was measured, and dynamic analysis was carried out. The quasi-dynamic and RMS/EMT simulations were carried out in the DIgSILENT software for this investigation. The results showed that the electrical system benefits stability and national standards. This is because the transmission lines reduced their loading by approximately 2.99% in 2032. As the years of study passed and the system load increased, the voltage in the bars of the 138 kV systems and generators did not exceed the range of ±5% established in the technical regulations of the Dominican electricity market.2023eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/urbansci7010032Urban ScienceUrban Scienceurn:issn:2413-8851Urban Science, 2023, vol. 7, n. 1, p. 32info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/2413-8851/7/1/32/pdf?version=1678788047Q1doajIndustry, innovation and infrastructureAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Parameter Estimation of Nonlinear Structural Systems Using Bayesian Filtering MethodsKalil ErazoNonlinear systemEstimationBayesian probabilityRecursive Bayesian estimationComputer scienceBayes estimatorMathematicsAlgorithmApplied mathematicsArtificial intelligenceEngineeringPhysicsThis paper examines the performance of Bayesian filtering system identification in the context of nonlinear structural and mechanical systems. The objective is to assess the accuracy and limitations of the four most well-established filtering-based parameter estimation methods: the extended Kalman filter, the unscented Kalman filter, the ensemble Kalman filter, and the particle filter. The four methods are applied to estimate the parameters and the response of benchmark dynamical systems used in structural mechanics, including a Duffing oscillator, a hysteretic Bouc–Wen oscillator, and a hysteretic Bouc–Wen chain system. Based on the performance, accuracy, and computational efficiency of the methods under different operating conditions, it is concluded that the unscented Kalman filter is the most effective filtering system identification method for the systems considered, with the other filters showing large estimation errors or divergence, high computational cost, and/or curse of dimensionality as the dimension of the system and the number of uncertain parameters increased.2024eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.3390/vibration8010001VibrationVibrationurn:issn:2571-631XVibration, 2024, vol. 8, n. 1, p. 1info:eu-repo/semantics/openAccessopenAccesscc-byhttps://www.mdpi.com/2571-631X/8/1/1/pdf?version=1735631869Q2doajInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Investigation of Spatio-temporal Variation of Ammonia Concentrations in the Dominican RepublicSeda TokgozCarlos A. SanlleyBurcak Kaynakammoniaspatiotemporal variationIASIagricultural emissionslivestock managementfertilizer emissionssecondary inorganic aerosolseasonal variationland coverurbanizationair qualityDominican RepublicSanto DomingoSantiagoeutrophicationacidificationremote sensing of air pollution2023info:eu-repo/semantics/preprintpreprinthttps://doi.org/10.5194/egusphere-egu23-139832023info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.5194/egusphere-egu23-13983Climate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal How Rivers Export Plastic: Insights from Three Contrasting Global SystemsThomas ManiRonja EbnerStijn PinsonRatchanon PiemjaiswangAlexandra Marie MurrayMarkus SvenssonTim H.M. van EmmerikSuchana ChavanichCristina TroisCarlos SanlleyLaurent Lebretonriverine plastic transportplastic pollutionfloating plastic debrisGPS drifterstidal regime2026info:eu-repo/semantics/preprintpreprinthttps://doi.org/10.5194/egusphere-egu26-229632026info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.5194/egusphere-egu26-22963Clean water and sanitationResponsible consumption and productionClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Transfer of Macroplastic Debris from Low-Tide Tropical Urban Estuaries to the Caribbean Sea: A Case Study from the Ozama-Isabela RiverRafael Garcia EstevezWinston GonzalezCarlos SanlleyThomas ManiAnne Marie Mozrallriverine plastic transportGPS driftersSanto Domingolateral asymmetry2026info:eu-repo/semantics/preprintpreprinthttps://doi.org/10.5194/egusphere-egu26-86812026info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.5194/egusphere-egu26-8681Life below waterClean water and sanitationSustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Ozama River Case Study: One-Year Multiple-Camera River Monitoring to Establish Baseline Debris Flux from the Dominican Capital into the Caribbean SeaWinston GonzalezRafael GarciaCarlos SanlleyThomas ManiStijn PinsonAnne Marie Mozrallplastic pollutiondebris fluxSanto Domingourban riverswaste managementseasonal variationurban ravinesbaseline datawaste management policy2026info:eu-repo/semantics/preprintpreprinthttps://doi.org/10.5194/egusphere-egu26-87642026info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.5194/egusphere-egu26-8764Life below waterClean water and sanitationResponsible consumption and productionSustainable cities and communitiesClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Addressing the Massive Influx of Sargassum in the Dominican Republic: Transforming an Environmental Challenge into a Sustainable Development OpportunityYaset Rodríguez-RodríguezUlises Javier Jauregui HazaAlberto Núñez-SellésAlvin RodríguezCarlos SanlleyChristelle Christelle YacouEdwin SánchezGustavo GandiniIsabelle PolaertIván JiménezLuis E. Rodríguez de FranciscoNicolás BrehmRandal de la Cruz IturbidesRolando Liranzo GómezSarra GaspardYeray AlvarezYessica A. CastroSargassumSargassum bloomsmarine littersatellite monitoringnanosatellitesanaerobic digestiongasificationbiocharactivated carbonmicrowave pyrolysisalginatebiocompositesbiofertilizerssustainable developmentSDG 14coastal ecosystem impactstourism impactsDominican RepublicGuadeloupe2025info:eu-repo/semantics/otherotherhttps://doi.org/10.5194/oos2025-9022025info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.5194/oos2025-902Life below waterResponsible consumption and productionClimate actionInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Effects of toll road construction on local road projects in IndonesiaLissy La Paix PuelloI.G. Ayu AndaniKarst Geurstoll road constructionroad network developmentsupply effectsurban developmentdemographic changetransport infrastructure2019info:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.5198/jtlu.2019.1258Journal of Transport and Land UseJournal of Transport and Land Useurn:issn:1938-7849Journal of Transport and Land Use, 2019info:eu-repo/semantics/openAccessopenAccesscc-by-nchttps://www.jtlu.org/index.php/jtlu/article/download/1258/1219Q1doajIndustry, innovation and infrastructureSustainable cities and communitiesInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal COMMUNICATION-BASED INTELLIGENT PROTECTION SCHEME AS ENABLER OF RENEWABLE-BASED MICROGRIDS AND ENERGY COMMUNITIESLuís Hernández-CallejoSergio NesmachnowPedro Moreno-BernalRenewable energyContext (archaeology)Work (physics)LegislatureSustainable energySustainabilityFeed-in tariffDisseminationThe 1st International Workshop on Renewable Energies: Advances, Challenges, andGlobal Perspectives, organized by the RIBIERSE-CYTED network, provided anacademic forum for discussion and exchange focused on analyzing the main scientific,technological, and social advances related to the transition to sustainable energysystems. The RIBIERSE-CYTED network held this workshop virtually on July 1 and2, 2026, bringing together researchers, energy sector professionals, institutionalrepresentatives, and stakeholders interested in the development, integration, andconsolidation of renewable energies in local, regional, and global contexts. The contributions presented in the proceedings book highlight the diverse approachesin the field of renewable energy. The included papers cover a range of topics, includingthe operation and maintenance of renewable energy plants, the application of artificialintelligence and computational tools for energy optimization, the design of microgrids,and energy communities supported by renewable technologies and storage.Additionally, they address the social, regulatory, and legislative factors that haveinfluenced the implementation of cleaner, more resilient, and equitable energy models.This volume brings together contributions that emphasize the necessity of integratingscientific knowledge, technological innovation, industrial experience, and socialperspectives to address the contemporary challenges of decarbonization, energyefficiency, and supply security. Moreover, the compiled research identifies emergingtrends, explores opportunities for international collaboration, and outlines work tostrengthen renewable energy in the context of sustainable development. The editors express their gratitude to the authors, speakers, participants, andcollaborating entities that made this first international workshop possible. It is hopedthat these proceedings will help disseminate knowledge, strengthen academic andprofessional networks, and promote innovative solutions for a just, efficient, andglobally relevant energy transition.2026info:eu-repo/semantics/bookPartbook-chapterhttps://doi.org/10.5281/zenodo.21700257Proccedings of 1st. International Workshop on Renewable EnergiesProccedings of 1st. International Workshop on Renewable EnergiesProccedings of 1st. International Workshop on Renewable Energies, 2026info:eu-repo/semantics/openAccessopenAccesshttps://doi.org/10.5281/zenodo.21700257Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Presentation Dominican Republic (EMP-LAC 2023). Modeling of alternative scenarios for decarbonization of the energetic sector of the Dominican Republic through OSeMOSYS to 20702023info:eu-repo/semantics/otherotherhttps://doi.org/10.5281/zenodo.75918132023Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Poster Dominican Republic (EMP-LAC 2023). Modeling of alternative scenarios for decarbonization of the energetic sector of the Dominican Republic through OSeMOSYS to 2070.2023info:eu-repo/semantics/otherconference-posterhttps://doi.org/10.5281/zenodo.7591921Energy Modelling Platform for Latin America and the Carribean (EMP-LAC) 2023Energy Modelling Platform for Latin America and the Carribean (EMP-LAC) 2023Energy Modelling Platform for Latin America and the Carribean (EMP-LAC) 2023, 2023Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Dominican_Republic_models_OSeMOSYS_EMPLAC23Miguel Aybar-MejíaGeographyData Set BAU Business As Usual The carbon generation is maintained, and the tendered energy projects are added. NCP No Coal Plant. Decarbonization of the sector after 2030. (Dominican_Republic_decarbonisation2025_2070) The carbon generation will begin the reduction of coal plants from 2025 gradually until 2030 REE Renewable Energy scenario. Energy From 2025 the demand will be supplied by Solar and Wind. (Dominican_Republic_REE_30) From 2025, 30% of the demand will be supplied by Solar PV (60%) and Wind (40%).2023eninfo:eu-repo/semantics/otherdata-sethttps://doi.org/10.5281/zenodo.7596327Zenodo (CERN European Organization for Nuclear Research)Zenodo (CERN European Organization for Nuclear Research)Zenodo (CERN European Organization for Nuclear Research), 2023info:eu-repo/semantics/openAccessopenAccesscc-byhttps://doi.org/10.5281/zenodo.7596327Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Comparison of maximum power point tracking techniques used in photovoltaic systemMiguel Aybar-MejíaYandi Gallego LanderaLesyani León ViltreMaximum power point trackingPhotovoltaic systemMaximum power principleRenewable energyPower (physics)MATLABComputer scienceAutomotive engineeringPower optimizerSolar micro-inverterElectronic engineeringEngineeringElectrical engineeringVoltagePhysicsInverterAmong the various renewable energy sources, photovoltaic (PV) systems are experiencing a great expansion, due to their low polluting levels, the abundance of solar energy and the cost decreasing of PV technologies, attracting research and investments in the field. The maximum power generated in a PV panel varies according to irradiation and temperature. Since the conversion efficiency of photovoltaic modules is low, it is necessary to implement sophisticated control techniques for monitoring the maximum power point (MPPT). Maximum power point tracking techniques are automatic control algorithms that adjust power interfaces to achieve the maximum power generation, during variations in irradiation, temperature, and characteristics of the photovoltaic module. The purpose of the MPPT is to adjust the solar panel operating voltage near the maximum power point (MPP) according to environmental conditions. This technique has become an essential component in photovoltaic power system designs. This article presents comparison of the performance of various MPPT tracking methods in photovoltaic systems using the MATLAB/Simulink software and a comparative approach.2021eninfo:eu-repo/semantics/articlejournal-articlehttps://doi.org/10.5935/jetia.v7i27.729Journal of Engineering and Technology for Industrial Applications (JETIA)Journal of Engineering and Technology for Industrial Applications (JETIA)urn:issn:2447-0228Journal of Engineering and Technology for Industrial Applications (JETIA), 2021info:eu-repo/semantics/openAccessopenAccesscc-byhttps://itegam-jetia.org/journal/index.php/jetia/article/download/729/472doajAffordable and clean energyInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal CALIDAD DE ENERGÍA ELÉCTRICA CON ENFOQUE EN LA DISTORSIÓN ARMÓNICA DEL METRO DE SANTO DOMINGO2019info:eu-repo/semantics/conferenceObjectconference-abstractcris:cris-0a2ef110IV Congreso Estudiantil de Investigación Científica y TecnológicaIV Congreso Estudiantil de Investigación Científica y TecnológicaIV Congreso Estudiantil de Investigación Científica y Tecnológica, 2019Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Mesa redonda2019info:eu-repo/semantics/conferenceObjectproceedings-articlecris:cris-0b0a018a RENPOWER, Santo Domingo, República Dominicana, 2019. RENPOWER, Santo Domingo, República Dominicana, 2019. RENPOWER, Santo Domingo, República Dominicana, 2019., 2019Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Integration of unobserved effects in generalised transport access costs of cycling to railway stations2016info:eu-repo/semantics/articlejournal-articlecris:cris-12da7eb4European Journal of Transport and Infrastructure ResearchEuropean Journal of Transport and Infrastructure ResearchEuropean Journal of Transport and Infrastructure Research, 2016Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Algunas consideraciones preliminares acerca de la factibilidad de la obtención de biodiesel en páıses en v́ıas de desarrollo2005info:eu-repo/semantics/conferenceObjectproceedings-articlecris:cris-1a64d2152005Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Modeling of a Controlled Rectifier with Adaptive Control System for Vertical Axis Micro Wind Turbines2021info:eu-repo/semantics/conferenceObjectproceedings-articlecris:cris-1af79f7cIII Ibero-American Conference on Smart Cities (ICSC-2020)III Ibero-American Conference on Smart Cities (ICSC-2020)III Ibero-American Conference on Smart Cities (ICSC-2020), 2021Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Circuitos prácticas de laboratorioSbriz Zeitun, GiuseppeCircuitos eléctricosInstituto Tecnológico de Santo Domingo2015enginfo:eu-repo/semantics/bookbookcris:cris-1ef737652015info:eu-repo/semantics/closedAccessclosedAccessInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Building Climate-Resilient Communities in the Dominican Republic2023info:eu-repo/semantics/reportreportcris:cris-22c1cf212023Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Modelo de pronóstico de demanda para estrategia de desplazamiento de cargas en sistema de gestión energética del edificio = Demand forecasting model for load shifting strategy in building energy management systemHernández, Deyslen MarianoHernández Callejo, LuisZorita Lamadrid, AngelGonzalez Morales, LuisDuque Pérez, OscarConsumo de energía eléctricaEdificiosCalidad del aireAmong the sectors with the highest energy consumption are transport, industries, and buildings. Buildings are responsible for the third part of energy consumption and almost 40% of CO₂ emissions worldwide. The search to improve the comfort of the occupants inside the buildings has brought a consequence that buildings are increasingly equipped with devices that help to improve the themal comfort, visual comfort. and air quality inside the buildings, causing more energy demand regardless of the type of building making buildings an untapped efficiency potential. This doctoral thesis presents a model for forecasting electricity demand in buildings based on machine learning for load-shifting strategies, which can be implemented in building energy management systems. The forecast model developed allows forecasting the electricity demand for the next 24 hours starting at any time of the day. To achieve this forecast, not only electricity consumption considered, but also climatic variables, calendar variables, and past time values. Different types of machine learning algorithms were compared using performance measures resulting in tree decision and deep learning algorithms performing better with the developed model.Instituto Tecnológico de Santo Domingo, (INTEC), Universidad de Valladolid2023spainfo:eu-repo/semantics/bookbookcris:cris-263e31192023info:eu-repo/semantics/closedAccessclosedAccessInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Analysis of the incorporation of battery electric scooptrams and trucks in an underground mining company in the Dominican Republic2023info:eu-repo/semantics/bookPartbook-chaptercris:cris-336c5c72VI Ibero-American Congress of Smart Cities. CITIES.VI Ibero-American Congress of Smart Cities. CITIES.VI Ibero-American Congress of Smart Cities. CITIES., 2023Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Análisis de escenarios para la transición energética sostenible de pequeños estados insulares en desarrollo caso de estudio La República dominicanaQuevedo Núñez, JarrizonHerrera Moya, IdalbertoSistemas híbridos de energíaPolítica energéticaDesarrollo energéticoEsta investigación se orientó al análisis de los escenarios alternativos para la descarbonización de la matriz energética de la República Dominicana (RD) a partir de la transición a las fuentes renovables de energía. Con información de bases de datos nacionales y reportes internacionales, se modelaron usando OSEMOSYS escenarios de expansión del suministro eléctrico y la integración de la movilidad eléctrica programada por el Instituto Nacional de Tránsito y Transporte Terrestre (INTRANT), así como la meta del país de reducir en un 27% las emisiones de gases de efecto invernadero (GEI) al 2030 respecto al año 2010, según se establece en el escenario tendencial del Plan de República Dominicana para el Desarrollo Económico Compatible con el Cambio Climático, en el que se prevén emisiones de 51 Mt CO2 para el 2030 (Consejo Nacional para el Cambio Climático y Mecanismo de Desarrollo Limpio, 2011). Se tuvieron en cuenta los costos de despliegue de las tecnologías, las emisiones GEI, la eficiencia, la demanda de electricidad, la integración de nuevos proyectos de generación, el crecimiento de la población y el margen de reserva. Los resultados indican que las tecnologías de energías renovables, con niveles de penetración superiores al 40% en el horizonte hasta el 2050, jugarán un papel importante en la transición energética. Los resultados sugieren que para cumplir con el compromiso firmado por RD en el Acuerdo de París es necesaria una inversión total de 11,405.00 MMUSD en un periodo de 16 años a ejecutar a razón del 4% anual. Se encontró que cumplir con los compromisos de reducción de emisiones de GEI implica cerrar o transformar las centrales a carbón del país para el 2040. A pesar del papel positivo de la movilidad eléctrica en la reducción de GEI, descarbonizar el sector eléctrico requiere inversiones de alrededor de 15,703.00 MMUSD; no realizar estas inversiones puede generar gastos por parte de los usuarios para cubrir sus necesidades energéticas de alrededor de 5,961.41 MMUSD en el periodo 2024-2030.Instituto Tecnológico de Santo Domingo (INTEC)2024spainfo:eu-repo/semantics/bookbookcris:cris-341229882024info:eu-repo/semantics/closedAccessclosedAccessInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Esquema de Certificación de Personas-gestores Energéticos. EQ-DPE-003-20232023info:eu-repo/semantics/reportreportcris:cris-3a2196a52023Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Real-time efficient state estimation in nonlinear structural systems2014info:eu-repo/semantics/conferenceObjectproceedings-articlecris:cris-3b26db5cProceedings of the International Conference on Structural Dynamic , EURODYNProceedings of the International Conference on Structural Dynamic , EURODYNProceedings of the International Conference on Structural Dynamic , EURODYN, 2014Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Cranfield Astrobiological Stratospheric Sampling Experiment (Cass.E): Overview of Flight Hardware Configuration, Implemented Planetary Protection and Contamination Control Procedures and Preliminary Post-Flight Results2011info:eu-repo/semantics/conferenceObjectproceedings-articlecris:cris-3ca8e1972011Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Análisis probabilístico de peligro sísmico y terremoto de diseño para Santiago-República DominicanaErazo, KalilProbabilidadesAnálisis de riesgo sísmicoAnálisis de riesgo de terremotosEste artículo presenta los resultados de un Análisis Probabilístico de Peligro Sísmico (APPS) realizado para un sitio ubicado en el centro de la ciudad de Santiago, localizada en la República Dominicana. Para realizar el APPS se utilizaron datos sismológicos recientes de la falla Septentrional (fuente sísmica) con el fin de calibrar un modelo de recurrencia de terremotos, y para calcular las curvas de peligro sísmico de varios parámetros de terremotos, movimiento del suelo y respuesta estructural de interés en aplicaciones de ingeniería sísmica. Los parámetros estudiados incluyen aceleración horizontal pico del suelo y ordenadas del espectro de respuesta de pseudo-aceleración con 5 % de amortiguamiento. El efecto de la incertidumbre de la ubicación de la zona de ruptura en la falla es estudiado usando un análisis de Monte Carlo; con este propósito la ubicación de la ruptura se trata como una variable aleatoria uniforme en la longitud de la falla. Los resultados del APPS son comparados con el espectro de diseño del sitio con 2 % de probabilidad de excedencia en 50 años, especificado en la normativa de diseño de la República Dominicana. Se concluye que hay un 17 % de probabilidad de que el valor actual de las ordenadas espectrales con 2 % de excedencia sea mayor que el valor especificado en el espectro de diseño, debido a incertidumbres relacionadas a la ley de atenuación usada para relacionar la fuente de terremotos y las características del movimiento del suelo en el sitio. Basado en el modelo de atenuación, el espectro de diseño en el sitio es consistente con los espectros generados por terremotos de magnitud (momento) de 7.9, lo cual es cercano al terremoto característico de magnitud de 7.8 estimado en estudios recientes de la falla Septentrional.2020spainfo:eu-repo/semantics/bookPartbook-chaptercris:cris-3d37bd94Ciencia, ingenierías & aplicacionesCiencia, ingenierías & aplicacionesurn:issn:2636-2171 (en linea)Ciencia, ingenierías & aplicaciones, 2020info:eu-repo/semantics/openAccessopenAccesshttps://revistas.intec.edu.do/index.php/cite/article/view/1741Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Nonlinear model-data fusion for post-earthquake assessment of structures2013info:eu-repo/semantics/conferenceObjectproceedings-articlecris:cris-3f105141Structural Health Monitoring 2013: A Roadmap to Intelligent Structures - Proceedings of the 9th International Workshop on Structural Health Monitoring, IWSHM 2013Structural Health Monitoring 2013: A Roadmap to Intelligent Structures - Proceedings of the 9th International Workshop on Structural Health Monitoring, IWSHM 2013Structural Health Monitoring 2013: A Roadmap to Intelligent Structures - Proceedings of the 9th International Workshop on Structural Health Monitoring, IWSHM 2013, 2013Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Análisis para la inclusión de la ingeniería de mantenimiento en el pénsum de estudio de la carrera de ingeniería del INTECAybar Mejía, Miguel EuclidesIngenieríaInstituto Tecnológico de Santo Domingo2015spainfo:eu-repo/semantics/bookbookcris:cris-4c0936132015info:eu-repo/semantics/closedAccessclosedAccessInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Modelling observed and unobserved factors in cycling to railway stations: Application to transit-oriented-developments in the Netherlands2015info:eu-repo/semantics/articlejournal-articlecris:cris-5980432cEuropean Journal of Transport and Infrastructure ResearchEuropean Journal of Transport and Infrastructure ResearchEuropean Journal of Transport and Infrastructure Research, 2015Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Compensación reactivos en pequeña y medina empresa (PYME) post instalación de sistema solar fotovoltaicoBautista Almánzar, IsmaelAybar Mejía, Miguel EuclidesVicini H., Rommel AEnergía solarEnergía fotovoltáicaConsumo de energía eléctricaBancos de condensadoresEsta tesis se centra en la compensación de reactivos en los sistemas fotovoltaicos conectados a la red eléctrica donde tengan recargos por bajo factor de potencia. El objetivo principal es mitigar el consumo de reactivos para eliminar los recargos ya que son un costo adicional en la factura eléctrica. El controlar la potencia reactiva demandada de la red se realiza suministrando con recursos propios la energía reactiva necesaria. Por lo que es propuesto un método para compensar reactivos de manera simultánea a la instalación fotovoltaica conectada a la red. Para la selección de este método se analizaron las limitaciones de las distintas tecnologías como los propios inversores para entregar potencia reactiva y los bancos de capacitores, así como otros métodos. Se analizó el comportamiento de este método en función de la carga la cual es medida con un analizador de redes su comportamiento sin realizar ninguna compensación, así como posterior a la implementación de la compensación de reactivos, determinando así su efectividad. El funcionamiento del método propuesto se ha validado y ha sido implementado exitosamente en una instalación, evidenciado con los resultados experimentales con lo que se elimina la penalidad de factor de potencia y presentando ahorros tanto económicos como ambientales con la reducción de emisiones de CO₂.Instituto Tecnológico de Santo Domingo (INTEC)2019spainfo:eu-repo/semantics/bookbookcris:cris-5a53bbd82019info:eu-repo/semantics/closedAccessclosedAccessInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Renewable Generation Microgrids on Low Voltage Grids2021info:eu-repo/semantics/conferenceObjectproceedings-articlecris:cris-5b921ef0Smart Cities: Promoting Innovation and Technological Adaptation in the Dominican RepublicSmart Cities: Promoting Innovation and Technological Adaptation in the Dominican RepublicSmart Cities: Promoting Innovation and Technological Adaptation in the Dominican Republic, 2021Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Estudio comparativo de los parámetros de funcionamiento de un motor diesel cuando usa biodiesel y diesel como combustible2005info:eu-repo/semantics/conferenceObjectproceedings-articlecris:cris-63747c052005Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal ELECTRICAL POWER CHARGER MANAGED VIA THE NETWORK FOR UNIPERSONAL ELECTRIC MOBILITY VEHICLES2026info:eu-repo/semantics/patentpatentcris:cris-63d137392026Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Sistema De Gestión Energética De Microrredes Inteligentes, Integradas En Redes Eléctricas De Baja Tensión Para Las Condiciones De República DominicanaAybar Mejía, Miguel EuclidesSantos García, FélixLeón Viltre, Lesyani TeresaRedes eléctricasDistribución de energía eléctricaRecursos energéticos renovablesEnergía solarEnergía eólicaSe espera que el uso de microrredes eléctricas con penetración renovable se interconecte en redes eléctricas de baja tensión que permitan a los usuarios finales de energía, como hogares, empresas e industrias, abastecer su demanda y al mismo tiempo interactuar con la red de manera más activa en el proceso de estabilidad del sistema. Es por ello que varios autores predicen que habrá una mayor integración de las microrredes en las redes de baja tensión y que los usuarios tendrán un papel más activo como prosumidor en los próximos años. La búsqueda de sistemas de control y gestión que permitan la integración eficiente de microrredes eléctricas en redes de baja tensión permitirá una transición de sistemas de distribución pasivos a sistemas activos y dinámicos que aumentarán la resiliencia de las redes eléctricas actuales. Esta tesis doctoral presenta estrategias de control y gestión energética de microrredes inteligentes de generación distribuida, con tecnología de energía renovable en redes eléctricas de baja tensión aplicados a República Dominicana. En primer lugar, se presentó una revisión crítica de los desafíos más relevantes que enfrentan actualmente las redes de distribución y las microrredes eléctricas. En segundo lugar, los controles se modelan para que las tecnologías renovables de energía solar y eólica puedan integrarse en la red de baja tensión. Finalmente, se proponen y modelan estrategias de control en una microrred experimental considerando las variables de climatología, demanda energética, predicción de recursos energéticos y control de la microrred de forma interconectada y aislada. Los resultados obtenidos muestran una correcta transición y gestión de la microrred en los diferentes estados simulados.Instituto Tecnológico de Santo Domingo (INTEC)2022spainfo:eu-repo/semantics/bookbookcris:cris-6e60b2992022info:eu-repo/semantics/closedAccessclosedAccessInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Energy management platform based on a smart microgrid of distributed generation with renewables2019info:eu-repo/semantics/conferenceObjectproceedings-articlecris:cris-76917abc ICSC-CITIES (Congreso Iberoamericano de Ciudades Inteligentes), Campus Universitario Duques de Soria, España. ICSC-CITIES (Congreso Iberoamericano de Ciudades Inteligentes), Campus Universitario Duques de Soria, España. ICSC-CITIES (Congreso Iberoamericano de Ciudades Inteligentes), Campus Universitario Duques de Soria, España., 2019Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Implementation of Agrivoltaic Systems under Operating Photovoltaic Park Conditions2023info:eu-repo/semantics/conferenceObjectproceedings-articlecris:cris-7ae3e5f3VI Ibero-American Congress of Smart Cities. CITIESVI Ibero-American Congress of Smart Cities. CITIESVI Ibero-American Congress of Smart Cities. CITIES, 2023Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal ANÁLISIS DE LA REDUCCIÓN DE PÉRDIDAS ELÉCTRICAS NO TÉCNICAS EN CIRCUITOS CON EL SISTEMA DE MEDICIÓN CONCENTRADO EN ALTURA CON TECNOLOGÍAPREPAGO DE EDESUR DOMINICANA.2019info:eu-repo/semantics/conferenceObjectconference-abstractcris:cris-823f0f41IV Congreso Estudiantil de Investigación Científica y TecnológicaIV Congreso Estudiantil de Investigación Científica y TecnológicaIV Congreso Estudiantil de Investigación Científica y Tecnológica, 2019Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal ¿Cuál es el valor de los ecosistemas protegidos de la República Dominicana?Gómez Valenzuela, VíctorAlpízar, FranciscoBonilla Duarte, SolhanlleEconomía ambientalReservas forestalesTurismo ecológicoInstituto Tecnológico de Santo Domingo (INTEC)2018spainfo:eu-repo/semantics/bookbookcris:cris-887fa86e2018info:eu-repo/semantics/closedAccessclosedAccessInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Analysis of liquid impact phenomena affecting rain erosion failure in wind turbine blades. A viscoelastic parametric study2019info:eu-repo/semantics/conferenceObjectproceedings-articlecris:cris-8b1e10cbECCM 2018 - 18th European Conference on Composite MaterialsECCM 2018 - 18th European Conference on Composite MaterialsECCM 2018 - 18th European Conference on Composite Materials, 2019Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Hacia un uso más eficiente de energíaHernández, Deyslen MarianoEnergía eléctricaRecursos energéticos renovables2015info:eu-repo/semantics/bookPartbook-chaptercris:cris-9025d0cfMercadoMercadoMercado, 2015info:eu-repo/semantics/closedAccessclosedAccessInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Estrategias de protección adaptativa para microrredes de CA2023info:eu-repo/semantics/conferenceObjectconference-abstractcris:cris-932bbd6eXVIII Congreso Internacional de Investigación Científica (XVIII CIC-2023)XVIII Congreso Internacional de Investigación Científica (XVIII CIC-2023)XVIII Congreso Internacional de Investigación Científica (XVIII CIC-2023), 2023Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Recogida de datos y modelización de la demanda de transporte en la República Dominicana revisión de literaturaLa Paix Puello, LissyTránsito localTransporte urbanoLa apertura de un nuevo modo de transporte genera cambios en la movilidad de los viajeros en su área de servicio. Sin embargo, la omisión de efectos de hábitos e inercia puede producir resultados sesgados en la predicción de la demanda. Los viajeros reaccionan diferente en cuanto a la selección de modos de transporte según sean sus hábitos de selección modal más o menos fuertes. Igualmente, la literatura ha demostrado que el comportamiento pasado es la mejor predicción del comportamiento futuro. Por tanto, el principal objetivo del presente documento es revisar la literatura correspondiente a la modelización de la demanda de viajeros entre distintos modos de transporte de la ciudad de Santo Domingo. Igualmente, se incluye una breve reseña sobre el uso de nuevas tecnologías, tales como los GPS y smartphones para la recogida de datos, y un análisis de accesibilidad. Finalmente, se describen los modelos de demanda para analizar futuras políticas de transporte urbano en la República Dominicana.2018info:eu-repo/semantics/bookPartbook-chaptercris:cris-93599c93Ciencia, ingenierías y aplicacionesCiencia, ingenierías y aplicacionesCiencia, ingenierías y aplicaciones, 2018info:eu-repo/semantics/openAccessopenAccesshttps://revistas.intec.edu.do/index.php/cite/article/view/1215Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal ESTIMACIÓN DE LA PRODUCCIÓN DE BIOGÁS A PARTIR DE UN MODELO DE SIMULACIÓN DE PROCESOS2019info:eu-repo/semantics/articlejournal-articlecris:cris-94749d0b2019Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal ESTIMACIÓN DE LA PRODUCCIÓN DE BIOGÁS A PARTIR DE UN MODELO DE SIMULACIÓN DE PROCESOS2020info:eu-repo/semantics/articlejournal-articlecris:cris-97e420cf2020Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Quantification of heavy metals in Sargassum natans and Sargassum fluitans arrived to the coasts of Dominican Republic during 20192019info:eu-repo/semantics/articlejournal-articlecris:cris-998357a0Caribbean Science and Innovation MeetingCaribbean Science and Innovation MeetingCaribbean Science and Innovation Meeting, 2019Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Demandas estructurales inducidas por vientos huracanados y terremotos en un edificio flexible en la República DominicanaErazo, KalilTaveras, AdelaEstructuras sismoresistentesEdificiosEste artículo presenta los resultados de un análisis comparativo de las demandas estructurales inducidas por vientos huracanados y terremotos en un edificio flexible diseñado para la ciudad de Santo Domingo en la República Dominicana. La estructura consiste en un edificio de 33 niveles con periodos fundamentales de vibración mayores de 3 segundos en las dos principales direcciones ortogonales, por lo que se considera un edificio flexible. El edificio fue inicialmente diseñado para cumplir con los requerimientos de la normativa vigente para efectos inducidos por terremotos (R-001) sin tomar en consideración los efectos inducidos por vientos huracanados; subsecuentemente, las demandas inducidas por viento fueron estimadas usando el procedimiento direccional del ASCE 07-10, utilizando como base la velocidad de diseño en recientes mapas de amenaza de viento desarrollados para la región del Caribe. Los resultados muestran que para la estructura analizada los efectos de vientos son significativamente mayores a los efectos sísmicos, lo que evidencia la urgencia de actualizar la actual normativa que define las cargas mínimas de diseño por viento de la República Dominicana. La justificación de dicha urgencia es el auge en la construcción de estructuras flexibles (principalmente edificios esbeltos) cuyo comportamiento tiende a ser dominado por efectos inducidos por viento, en especial en regiones de alta recurrencia de huracanes. Las demandas estructurales comparadas incluyen desplazamientos laterales, derivas de entrepiso, cortante basal y momento de vuelco.2021spainfo:eu-repo/semantics/bookPartbook-chaptercris:cris-99940002Ciencia, ingenierías & aplicacionesCiencia, ingenierías & aplicacionesurn:issn:2636-218X (impreso)urn:issn:2636-2171 (en linea)Ciencia, ingenierías & aplicaciones, 2021info:eu-repo/semantics/openAccessopenAccesshttps://revistas.intec.edu.do/index.php/cite/article/view/2247/2646Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal A fractional Traub method with $(2α+1)$th-order of convergence and its stability2019info:eu-repo/semantics/preprintpreprintcris:cris-9b6249152019Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Advances in real-time dynamic PGD calculation of non-linear soil behavior. A fractional parametric study2019info:eu-repo/semantics/articlejournal-articlecris:cris-a08d3c43Earthquake Geotechnical Engineering for Protection and Development of Environment and ConstructionsEarthquake Geotechnical Engineering for Protection and Development of Environment and ConstructionsEarthquake Geotechnical Engineering for Protection and Development of Environment and Constructions, 2019Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Uso de protecciones adaptativas para microrredes2023info:eu-repo/semantics/conferenceObjectconference-abstractcris:cris-a679272fIV Congreso Internacional de la Sociedad Dominicana de FísicaIV Congreso Internacional de la Sociedad Dominicana de FísicaIV Congreso Internacional de la Sociedad Dominicana de Física, 2023Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Proyecto de inversión de generadora fotovoltaica para venta de electricidad al Instituto MontessoriBáez Santana, RenéEnergía fotovoltáicaEmpresas eléctricasInstituto Tecnológico de Santo Domingo2010spainfo:eu-repo/semantics/bookbookcris:cris-a7a5d8542010info:eu-repo/semantics/closedAccessclosedAccessInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Energy management platform based on a smart grid of distributed generation with renewables2019info:eu-repo/semantics/otherconference-postercris:cris-ab21436cII Ibero-American Congress of Smart CitiesII Ibero-American Congress of Smart CitiesII Ibero-American Congress of Smart Cities, 2019Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Impact of an optimum renewable portfolio standard in the system adequacy and its effect on the wholesale electricity market : Dominican Republic2017info:eu-repo/semantics/doctoralThesisdissertationcris:cris-b09b0e2c2017Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Building Energy Management Based on Predictive Control for Energy Efficient in the Dominican Republicinfo:eu-repo/semantics/conferenceObjectproceedings-articlecris:cris-b7eb13e5 ICSC-CITIES (Congreso Iberoamericano de Ciudades Inteligentes),Campus Universitario Duques de Soria, España. ICSC-CITIES (Congreso Iberoamericano de Ciudades Inteligentes),Campus Universitario Duques de Soria, España. ICSC-CITIES (Congreso Iberoamericano de Ciudades Inteligentes),Campus Universitario Duques de Soria, España.Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Integración de la tecnología 5G para gestión y control de las protecciones adaptativas en microrredes eléctricas inteligentes2023info:eu-repo/semantics/conferenceObjectconference-abstractcris:cris-b7f22396II congreso de Investigación Internacional y Desarrollo e Innovación CientíficaII congreso de Investigación Internacional y Desarrollo e Innovación CientíficaII congreso de Investigación Internacional y Desarrollo e Innovación Científica, 2023Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Experimental verification of a finite element model based functional observer for structural systems2013info:eu-repo/semantics/conferenceObjectproceedings-articlecris:cris-bc276454Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials ConferenceCollection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials ConferenceCollection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, 2013Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Island detection methods in doubly fed induction generators2019info:eu-repo/semantics/articlejournal-articlecris:cris-bf1f0cbaIngeniería EnergéticaIngeniería EnergéticaIngeniería Energética, 2019Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Estudio comparativo sobre prevalencia de parasitosis intestinal en niños de 5-10 años según los métodos de Weigert y de Ritchie. Comunidad de Guerra, mayo-julio 2001Rojas Mercedes, Norberto LuisRosa Astasio, Falening de laGusanos parásitos e intestinalesParasitismo[s. n.]2001info:eu-repo/semantics/bookbookcris:cris-c281435d2001info:eu-repo/semantics/closedAccessclosedAccessInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal STUDY OF A PHOTOVOLTAIC PLANT FOR THE REDUCTION OF DIESEL CONSUMPTION: CASE OF DOMINICAN REPUBLIC2021info:eu-repo/semantics/conferenceObjectproceedings-articlecris:cris-d844568fIII Ibero-American Conference on Smart Cities (ICSC-2020)III Ibero-American Conference on Smart Cities (ICSC-2020)III Ibero-American Conference on Smart Cities (ICSC-2020), 2021Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal El arbolado en ciudades y la protección de los recursos hídricos preguntas y respuestasBonilla Duarte, SolhanlleDíaz Cordero, GeraldaCortés, LeonardoJáuregui-Haza, Ulises JavierÁrboles en ciudadesEcosistemasProtección del medio ambienteRecursos hídricosInstituto Tecnológico de Santo Domingo (INTEC)2021spainfo:eu-repo/semantics/bookbookcris:cris-daa1bc572021info:eu-repo/semantics/openAccessopenAccesshttps://intec.koha.es/cgi-bin/koha/opac-retrieve-file.pl?id=b2bb1ec8fedfb1b84e99e72588b584d3Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Gestión Energética Basada En Una Microrred De Generación Distribuida De 10kw con Renovables2021info:eu-repo/semantics/conferenceObjectproceedings-articlecris:cris-e127e2daXVI CONGRESO INTERNACIONAL DE INVESTIGACIÓN CIENTÍFICAXVI CONGRESO INTERNACIONAL DE INVESTIGACIÓN CIENTÍFICAXVI CONGRESO INTERNACIONAL DE INVESTIGACIÓN CIENTÍFICA, 2021Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Development and applications of remote sensors in Low Earth Orbit (LEO) to improve the decision making about climate and environmental resiliency in the Caribbean and the Hispaniola island – phase 12019info:eu-repo/semantics/otherconference-postercris:cris-e5fcff7627th Workshop on Space Technology for Socio-Economic Benefits: "Ensuring Inclusiveness through Space-based Applications and Space Exploration"27th Workshop on Space Technology for Socio-Economic Benefits: "Ensuring Inclusiveness through Space-based Applications and Space Exploration"27th Workshop on Space Technology for Socio-Economic Benefits: "Ensuring Inclusiveness through Space-based Applications and Space Exploration", 2019Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Evaluación de los contenidos de Ingeniería de Mantenimiento en la formación del Ingeniero Eléctrico en el Instituto Tecnológico de Santo Domingo2018info:eu-repo/semantics/articlejournal-articlecris:cris-e9b73ccaIJERI: International Journal of Educational Research and InnovationIJERI: International Journal of Educational Research and InnovationIJERI: International Journal of Educational Research and Innovation, 2018Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Retos del Mercado Eléctrico Mayorista dominicano con elevada penetración de Fuentes Renovables no Convencionales y propuestas de tratamiento2021info:eu-repo/semantics/conferenceObjectconference-abstractcris:cris-ee5e11e1III Congreso Internacional de Operación de Sistemas y Mercados de Energía - COSMER CIER 2021III Congreso Internacional de Operación de Sistemas y Mercados de Energía - COSMER CIER 2021III Congreso Internacional de Operación de Sistemas y Mercados de Energía - COSMER CIER 2021, 2021Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Multiple response optimization to reduce exhaust emissions and fuel consumption of a diesel engine fueled with olive pomace oil methyl ester/diesel fuel blends2015info:eu-repo/semantics/conferenceObjectproceedings-articlecris:cris-f490101a 28th ECOS Conference 28th ECOS Conference 28th ECOS Conference, 2015Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Termo-conversión de biomasa por pirólisis. Tendencias de investigación y desarrollo2012info:eu-repo/semantics/articlejournal-articlecris:cris-f574c87c2012Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Optimization of wholesale market mechanisms to guarantee a high penetration of renewable energy sources in the Dominican Republic2025info:eu-repo/semantics/otherconference-presentationcris:cris-f5f2b7aeVI Congreso Internacional de la Sociedad Dominicana de FísicaVI Congreso Internacional de la Sociedad Dominicana de FísicaVI Congreso Internacional de la Sociedad Dominicana de Física, 2025Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Castor oil as additive in ternary blends with diesel fuel and ethanol to run diesel engines2017info:eu-repo/semantics/conferenceObjectproceedings-articlecris:cris-f9105ec2 9th International Conference on Applied Energy, ICAE 2017 9th International Conference on Applied Energy, ICAE 2017 9th International Conference on Applied Energy, ICAE 2017, 2017Instituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal Hacia la sostenibilidad financiera del Sistema Nacional de Áreas Protegidas de la República DominicanaGómez Valenzuela, VíctorAlpízar, FranciscoBonilla Duarte, SolhanlleConservación de la vida silvestreMonumentos naturalesParques nacionalesProtección del medio ambienteEconomía ambientalInstituto Tecnológico de Santo Domingo (INTEC)2018spainfo:eu-repo/semantics/bookbookcris:cris-ffee58fb2018info:eu-repo/semantics/closedAccessclosedAccessInstituto Tecnológico de Santo Domingohttps://www.intec.edu.do/portal