Techno-economic dataset for energy market and capacity payment co-optimization in the Dominican Republicʼs power market René Báez-Santana Miguel Aybar-Mejía Máximo A. Domínguez-Garabitos Víctor S. Ocaña-Guevara capacity payments variable renewable energy wind energy solar energy generation mix optimization energy demand energy transition decarbonization energy policy The 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. 2025 en info:eu-repo/semantics/article journal-article https://doi.org/10.1016/j.dib.2024.111225 Data in Brief Data in Brief urn:issn:2352-3409 Data in Brief, 2025, vol. 58, p. 111225 info:eu-repo/semantics/openAccess openAccess cc-by https://doi.org/10.1016/j.dib.2024.111225 Q1 doaj pubmed Affordable and clean energy Industry, innovation and infrastructure Climate action Instituto Tecnológico de Santo Domingo https://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 2024 Deyslen Mariano-Hernandez Miguel Aybar-Mejía Rafael Orlando Uceta-Acosta Yeulis Rivas-Peña Víctor S. Ocaña-Guevara Máximo A. Domínguez-Garabitos electricity demand short-term load forecasting exogenous variables Dominican Republic hourly time series meteorological observations temperature humidity energy planning This 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. 2025 en info:eu-repo/semantics/article journal-article https://doi.org/10.1016/j.dib.2025.112057 Data in Brief Data in Brief urn:issn:2352-3409 Data in Brief, 2025, vol. 63, p. 112057 info:eu-repo/semantics/openAccess openAccess cc-by https://doi.org/10.1016/j.dib.2025.112057 Q1 doaj pubmed Affordable and clean energy Industry, innovation and infrastructure Climate action Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal A market-based approach to assessing the capacity value of variable renewable energy: Evidence from the Dominican Republic René Báez-Santana Miguel Aybar-Mejía Máximo Domínguez-Garabitos Víctor Ocaña-Guevara Bruno Henriques-Dias João Soares Luis Hernández-Callejo variable renewable energy capacity remuneration electricity market design system reliability capacity payments wind energy photovoltaics capacity factor The 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. 2026 en info:eu-repo/semantics/article journal-article https://doi.org/10.1016/j.egyr.2026.109300 Energy Reports Energy Reports urn:issn:2352-4847 Energy Reports, 2026, vol. 15, p. 109300 info:eu-repo/semantics/openAccess openAccess cc-by https://doi.org/10.1016/j.egyr.2026.109300 Q1 doaj Industry, innovation and infrastructure Affordable and clean energy Climate action Instituto Tecnológico de Santo Domingo https://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 framework Miguel Aybar-Mejía Yeulis V. Rivas-Peña Víctor S. Ocaña-Guevara Rafael O. Uceta-Acosta Bruno Henriques-Dias Máximo A. Domínguez-Garabitos Caribbean Small Island Developing States variable renewable energy integration low system inertia electricity market regulation mixed-integer linear programming robust optimization stochastic optimization electricity market development Caribbean 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. 2026 en info:eu-repo/semantics/article journal-article https://doi.org/10.1016/j.egyr.2026.109658 Energy Reports Energy Reports urn:issn:2352-4847 Energy Reports, 2026, vol. 16, p. 109658 info:eu-repo/semantics/openAccess openAccess cc-by https://doi.org/10.1016/j.egyr.2026.109658 Q1 doaj Industry, innovation and infrastructure Affordable and clean energy Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal An approach for applying blockchain technology in centralized electricity markets D. Mariano-Hernández M. Domínguez-Garabitos M. Aybar-Mejía D. Rosario-Weeks blockchain electricity market design peer-to-peer energy trading decentralized energy trading commercial monopoly renewable energy electric mobility 2021 en info:eu-repo/semantics/article journal-article https://doi.org/10.1016/j.tej.2021.106918 Electricity Journal Electricity Journal urn:issn:1040-6190 urn:issn:1873-6874 Electricity Journal, 2021, vol. 34, n. 3, p. 106918 info:eu-repo/semantics/closedAccess closedAccess Q1 Affordable and clean energy Industry, innovation and infrastructure Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal Demand-Shifting Strategies to Optimize the Perform ice of the Wholesale Electricity Market: A Dominican Republic Study Case Maximo A. Dominguez-Garabitos Miguel Aybar-Mejia Victor S. Ocana-Guevara Felix Santos-Garcia Adriana Arango-Manrique demand response demand shifting wholesale electricity market elasticity of substitution renewable energy integration generation dispatch marginal cost peak shaving energy transition The 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. 2022 en info:eu-repo/semantics/article journal-article https://doi.org/10.1109/access.2022.3169696 IEEE Access IEEE Access urn:issn:2169-3536 IEEE Access, 2022, vol. 10, p. 44362-44383 info:eu-repo/semantics/openAccess openAccess cc-by https://ieeexplore.ieee.org/ielx7/6287639/9668973/09761863.pdf Q1 doaj Affordable and clean energy Climate action Industry, innovation and infrastructure Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal Application of electric vehicles for primary frequency regulation service Deyslen Mariano-Hernandez Miguel Euclides Aybar Mejia Elvin Arnaldo Jimenez-Matos Maximo Dominguez-Garabitos Alejandro Velazquez-Kranwinkel Eduardo Paredes-Liriano Alfredo Victoria-Mota Isaac-Gabriel Ceballos-Jimenez Juan Edwards-Soto electric vehicles vehicle-to-grid primary frequency control frequency regulation power system frequency stability Monte Carlo simulation In 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. 2021 en info:eu-repo/semantics/conferenceObject proceedings-article https://doi.org/10.1109/isgtlatinamerica52371.2021.9543076 2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021 2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021 2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021, 2021, vol. 34, p. 1-5 info:eu-repo/semantics/closedAccess closedAccess Industry, innovation and infrastructure Affordable and clean energy Climate action Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal Evaluation of primary frequency regulation in Dominican Republic mine using scooptrams and electric trucks as battery storage systems Miguel Aybar-Mejía Arismendy José Del Orbe José Gabriel Durán García Deyslen Mariano-Hernández Elvin Arnaldo Jiménez Matos Giuseppe Sbriz-Zeitun Máximo Alberto Domínguez Garabitos Jesús Mercedes primary frequency control vehicle-to-grid battery electric trucks mine electrical systems power system stability ancillary services The 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. 2024 en info:eu-repo/semantics/article journal-article https://doi.org/10.1177/27533735241262475 Renewable Energies Renewable Energies urn:issn:2753-3735 Renewable Energies, 2024, vol. 2, n. 2 info:eu-repo/semantics/openAccess openAccess cc-by-nc https://doi.org/10.1177/27533735241262475 Industry, innovation and infrastructure Affordable and clean energy Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal Impact of distributed generation on the stability and operation of electric power systems: Analysis of scenarios including energy storage systems Deyslen Mariano-Hernández Miguel Aybar-Mejía Elvin Jiménez Karla Coste Roberto Quintal-Palomo Giuseppe Sbriz-Zeitun Jesús De la Casa Hernández Máximo Domínguez Garabitos Lesyani Teresa León Viltre Armando J Taveras Cruz distributed generation energy storage systems voltage stability frequency stability automatic load shedding photovoltaics renewable energy integration distribution networks grid resilience distributed storage Dominican Republic small island developing states grid flexibility The 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. 2025 en info:eu-repo/semantics/article journal-article https://doi.org/10.1177/27533735251353062 Renewable Energies Renewable Energies urn:issn:2753-3735 Renewable Energies, 2025, vol. 3, n. 2 info:eu-repo/semantics/openAccess openAccess cc-by-nc https://doi.org/10.1177/27533735251353062 Affordable and clean energy Industry, innovation and infrastructure Climate action Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal Deviation-Based Operating Reserve Sizing and Market Co-Optimization for Data-Constrained Island Power Systems René Báez-Santana Miguel E. Aybar-Mejía Máximo A. Domínguez-Garabitos Víctor S. Ocaña-Guevara Yeulis V. Rivas-Peña Rafael O. Uceta-Acosta island power systems reserve allocation reserve pricing variable renewable energy low-inertia power systems small island developing states market efficiency reliability Data-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. 2026 info:eu-repo/semantics/preprint preprint https://doi.org/10.20944/preprints202606.0983.v1 Preprints.org Preprints.org Preprints.org, 2026 info:eu-repo/semantics/openAccess openAccess cc-by https://doi.org/10.20944/preprints202606.0983.v1 doaj Industry, innovation and infrastructure Affordable and clean energy Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal Assessing the robustness of market-based capacity valuation for variable renewable energy: A multi-year analysis René Báez-Santana Miguel Aybar-Mejía Bruno Dias Víctor Ocaña-Guevara João Soares Máximo Domínguez-Garabitos variable renewable energy interannual variability capacity remuneration energy dispatch system reliability wind energy photovoltaics capacity factor peak load market design Dominican Republic 2026 info:eu-repo/semantics/preprint preprint https://doi.org/10.2139/ssrn.6727029 SSRN Electronic Journal SSRN Electronic Journal urn:issn:1556-5068 SSRN Electronic Journal, 2026 info:eu-repo/semantics/openAccess openAccess https://doi.org/10.2139/ssrn.6727029 Affordable and clean energy Climate action Industry, innovation and infrastructure Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal A Methodological Proposal for Implementing Demand-Shifting Strategies in the Wholesale Electricity Market Máximo A. Domínguez-Garabitos Miguel Aybar-Mejía Víctor S. Ocaña-Guevara Félix Santos-García Adriana Arango-Manrique demand shifting demand response wholesale electricity market flexible demand elasticity of substitution renewable energy quotas CO2 emission reduction incentive mechanisms energy transition generation cost minimization The 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. 2022 en info:eu-repo/semantics/article journal-article https://doi.org/10.3390/en15041307 Energies Energies urn:issn:1996-1073 Energies, 2022, vol. 15, n. 4, p. 1307 info:eu-repo/semantics/openAccess openAccess cc-by https://www.mdpi.com/1996-1073/15/4/1307/pdf?version=1645020706 Q1 doaj Affordable and clean energy Climate action Industry, innovation and infrastructure Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal Deviation-Based Operating Reserve Sizing and Market Co-Optimization for Data-Constrained Island Power Systems René Báez-Santana Máximo A. Domínguez-Garabitos Miguel E. Aybar-Mejía Víctor S. Ocaña-Guevara Yeulis V. Rivas-Peña Rafael O. Uceta-Acosta island power systems reserve allocation reserve pricing variable renewable energy low-inertia power systems small island developing states market efficiency reliability Data-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. 2026 en info:eu-repo/semantics/article journal-article https://doi.org/10.3390/en19133204 Energies Energies urn:issn:1996-1073 Energies, 2026, vol. 19, n. 13, p. 3204 info:eu-repo/semantics/openAccess openAccess cc-by https://doi.org/10.3390/en19133204 Q1 doaj Industry, innovation and infrastructure Affordable and clean energy Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal Biomass Energy Potential of Agricultural Residues in the Dominican Republic Hugo Guzmán-Bello Máximo Domínguez-Garabitos Miguel Aybar-Mejía Iosvani López-Díaz Jose Atilio de Frias agricultural residues bioenergy potential sugarcane waste rice straw coconut waste energy potential assessment biomass-to-energy conversion hybrid renewable energy systems distributed generation electricity supply reliability Dominican Republic The 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. 2023 en info:eu-repo/semantics/article journal-article https://doi.org/10.3390/su152215847 Sustainability Sustainability urn:issn:2071-1050 Sustainability, 2023, vol. 15, n. 22, p. 15847 info:eu-repo/semantics/openAccess openAccess cc-by https://www.mdpi.com/2071-1050/15/22/15847/pdf?version=1699678513 Q1 Affordable and clean energy Zero hunger Climate action Responsible consumption and production Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal Metodología para optimizar el desempeño del Mercado Eléctrico Mayorista mediante estrategias de desplazamiento de la demanda una contribución a la descarbonización Domínguez Garabitos, Máximo Alberto Ocaña Guevara, Víctor Samuel Energía eléctrica Demanda de energía eléctrica Recursos energéticos renovables Política energética Los sistemas eléctricos de potencia enfrentan desafíos que exigen de una adecuada planificación de la operación para satisfacer los requerimientos energéticos de la demanda en un mercado eléctrico mayorista, debido a la dependencia de los combustibles fósiles, la volatilidad de los precios del petróleo, y la incertidumbre en la oferta de generación, especialmente de las renovables variables que han servicio de soporte para impulsar el cambio climático desde este sector. Con el desarrollo de nuevas tecnologías y mecanismos de innovación metodológica, la transición energética ha demostrado que la generación fósil y la alta penetración de renovables variables pueden coexistir con programas de respuesta de la demanda capaces de aportar flexibilidad a la operación segura del sistema, cumpliendo las reglas del mercado eléctrico mayorista y los criterios de descarbonización. El objetivo de esta investigación se concentra en la estrategia de desplazar demanda a partir del concepto de elasticidad de sustitución, en un modelo de optimización que minimiza el costo de suministro y maximiza los incentivos de los usuarios participantes, aumentando el despacho de energía renovable variable y reduciendo las emisiones de CO2. La modelación se puede ajustar para priorizar otros usos, como la mitigación de la potencia no servida y las congestiones de red. Los resultados de la metodología se analizaron por medio de un caso de estudio aplicado en el mercado eléctrico mayorista de la República Dominicana, en el que se utilizó la elasticidad de sustitución para ajustar desplazamientos de demanda de la línea base durante el periodo de punta por debajo del 10.49%. Esta variación motivó una reducción del costo de explotación de la generación en 8.4%, del costo marginal en 30.19% y de la potencia no servida en 19.1%, cuando la energía renovable aumentó en 5%. Un incremento del costo de las emisiones en 10 US$/ton, representó una variación relativa del costo de explotación desde 7.27% hasta 16.03%, para una reducción de CO2 de 2.77 a 28.02 toneladas semanales. Los resultados alcanzados evidencian oportunidades técnicas, económicas y ambientales, a partir de una reformulación de la programación tradicional de la operación de corto plazo del sistema eléctrico, que conduce a la optimización del funcionamiento del mercado eléctrico mayorista. En la articulación de la metodología se consideraron declaraciones de costos, disponibilidad de generación, requerimientos de reserva para la regulación de frecuencia, demanda de consumidores, estatus de participación RD, elasticidad de sustitución, especificaciones para mitigar las emisiones de CO2, parámetros y escalares correspondientes a restricciones en las actividades de generación, transporte y demanda. La integridad del proceso de optimización responde a: a. Criterios económicos que permiten reducir el costo operativo de suministro, al tiempo que reconoce un incentivo a la demanda por la prestación del servicio de RD. El concepto de elasticidad de sustitución sirvió de apoyo para indicar las condiciones de isocoste que garantizan la misma cantidad de demanda programada. b. Criterios de seguridad que respaldan el comportamiento estable de la frecuencia a partir del balance entre generación y demanda; y posibilidad de reducir potencia no servida y flujos de potencia en las líneas de transmisión, de acuerdo con las prioridades establecidas en la programación. c. Criterios ambientales que fomentan la reducción de emisiones de CO2, a partir del desplazamiento de generación fósil por generación renovable. Instituto Tecnológico de Santo Domingo (INTEC) 2022 spa info:eu-repo/semantics/book book cris:cris-1d862525 2022 info:eu-repo/semantics/closedAccess closedAccess Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal