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 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 Design of an Interconnected Microgrid for the Electrification of San Pablo II Community: Case of Study Dominican Republic Rene Baez Santana Deyslen Mariano-Hernandez Miguel Euclides Aybar Mejia Eduardo de Leon Concepcion Alejandro Arias Martijena Alexis Castillo Ruiz David Lavandier Mendoza Edwin Cadet Fabal Suero interconnected microgrids off-grid electrification photovoltaic generation lithium-ion battery storage techno-economic feasibility Homer DIgSILENT energy costs energy availability voltage profile power losses Universal 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. 2020 en info:eu-repo/semantics/conferenceObject proceedings-article https://doi.org/10.1109/isc251055.2020.9239093 2020 IEEE International Smart Cities Conference (ISC2) 2020 IEEE International Smart Cities Conference (ISC2) 2020 IEEE International Smart Cities Conference (ISC2), 2020, p. 1-8 info:eu-repo/semantics/closedAccess closedAccess Affordable and clean energy Industry, innovation and infrastructure Sustainable cities and communities 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 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 Proyecto de inversión de generadora fotovoltaica para venta de electricidad al Instituto Montessori Báez Santana, René Energía fotovoltáica Empresas eléctricas Instituto Tecnológico de Santo Domingo 2010 spa info:eu-repo/semantics/book book cris:cris-a7a5d854 2010 info:eu-repo/semantics/closedAccess closedAccess Instituto Tecnológico de Santo Domingo https://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 Republic 2017 info:eu-repo/semantics/doctoralThesis dissertation cris:cris-b09b0e2c 2017 Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal Retos del Mercado Eléctrico Mayorista dominicano con elevada penetración de Fuentes Renovables no Convencionales y propuestas de tratamiento 2021 info:eu-repo/semantics/conferenceObject conference-abstract cris:cris-ee5e11e1 III Congreso Internacional de Operación de Sistemas y Mercados de Energía - COSMER CIER 2021 III Congreso Internacional de Operación de Sistemas y Mercados de Energía - COSMER CIER 2021 III Congreso Internacional de Operación de Sistemas y Mercados de Energía - COSMER CIER 2021, 2021 Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal Optimization of wholesale market mechanisms to guarantee a high penetration of renewable energy sources in the Dominican Republic 2025 info:eu-repo/semantics/other conference-presentation cris:cris-f5f2b7ae VI Congreso Internacional de la Sociedad Dominicana de Física VI Congreso Internacional de la Sociedad Dominicana de Física VI Congreso Internacional de la Sociedad Dominicana de Física, 2025 Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal