Techno-economic dataset for energy market and capacity payment co-optimization in the Dominican Republicʼs power market

IF 1.4 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2025-02-01 Epub Date: 2024-12-12 DOI:10.1016/j.dib.2024.111225

René Báez-Santana , Miguel Aybar-Mejía , Máximo A. Domínguez-Garabitos , Víctor S. Ocaña-Guevara

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Abstract

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.

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多米尼加共和国电力市场能源市场与容量支付协同优化的技术经济数据集。

电力行业对化石燃料的消耗有影响，必须在脱碳战略中加以考虑。能源系统优化模型可用于评估电力部门的政策情景，以加速能源转型。这些建模工具需要数据来模拟电力系统中的不同情景，以阐明能源政策的设计。因此，需要收集和处理技术和经济数据，以保证建模工具的质量输入。本文提供了一个数据集，用于优化多米尼加共和国电力系统的发电组合和能源需求模型，以确定可变可再生能源（VRE）的容量值，即风能和太阳能，可以作为这些技术的激励。虽然数据与多米尼加共和国的电力系统相对应，但收集和处理数据的方法可以在其他国家实施。收集的数据是独立系统运营商、电力部门监管机构和公用事业公司以及国际组织的网站和数据库的开放访问数据库。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.