Techno-economic dataset for energy market and capacity payment co-optimization in the Dominican Republicʼs power marketMendeley Data
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 sim...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340924011879 |
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| author | René Báez-Santana Miguel Aybar-Mejía Máximo A. Domínguez-Garabitos Víctor S. Ocaña-Guevara |
| author_facet | René Báez-Santana Miguel Aybar-Mejía Máximo A. Domínguez-Garabitos Víctor S. Ocaña-Guevara |
| author_sort | René Báez-Santana |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a7c4b1bf1bc440529618b17cd9e13d44 |
| institution | Kabale University |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-a7c4b1bf1bc440529618b17cd9e13d442025-01-31T05:11:34ZengElsevierData in Brief2352-34092025-02-0158111225Techno-economic dataset for energy market and capacity payment co-optimization in the Dominican Republicʼs power marketMendeley DataRené Báez-Santana0Miguel Aybar-Mejía1Máximo A. Domínguez-Garabitos2Víctor S. Ocaña-Guevara3Área de Ciencias Básicas, Instituto Tecnológico de Santo Domingo, 49 Los Próceres Avenue, Santo Domingo 10602, Dominican Republic; Corresponding author.Área de Ingeniería, Instituto Tecnológico de Santo Domingo, 49 Los Próceres Avenue, Santo Domingo 10602, Dominican RepublicÁrea de Ciencias Básicas, Instituto Tecnológico de Santo Domingo, 49 Los Próceres Avenue, Santo Domingo 10602, Dominican RepublicÁrea de Ciencias Básicas, Instituto Tecnológico de Santo Domingo, 49 Los Próceres Avenue, Santo Domingo 10602, Dominican Republic; Facultad de Ingeniería Mecánica e Industrial, Universidad Central “Marta Abreu” de Las Villas (UCLV), Santa Clara, CubaThe 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.http://www.sciencedirect.com/science/article/pii/S2352340924011879Renewable energyEnergy policyOptimization modelingCapacity credits |
| spellingShingle | René Báez-Santana Miguel Aybar-Mejía Máximo A. Domínguez-Garabitos Víctor S. Ocaña-Guevara Techno-economic dataset for energy market and capacity payment co-optimization in the Dominican Republicʼs power marketMendeley Data Data in Brief Renewable energy Energy policy Optimization modeling Capacity credits |
| title | Techno-economic dataset for energy market and capacity payment co-optimization in the Dominican Republicʼs power marketMendeley Data |
| title_full | Techno-economic dataset for energy market and capacity payment co-optimization in the Dominican Republicʼs power marketMendeley Data |
| title_fullStr | Techno-economic dataset for energy market and capacity payment co-optimization in the Dominican Republicʼs power marketMendeley Data |
| title_full_unstemmed | Techno-economic dataset for energy market and capacity payment co-optimization in the Dominican Republicʼs power marketMendeley Data |
| title_short | Techno-economic dataset for energy market and capacity payment co-optimization in the Dominican Republicʼs power marketMendeley Data |
| title_sort | techno economic dataset for energy market and capacity payment co optimization in the dominican republic s power marketmendeley data |
| topic | Renewable energy Energy policy Optimization modeling Capacity credits |
| url | http://www.sciencedirect.com/science/article/pii/S2352340924011879 |
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