Harmonized and Open Energy Dataset for Modeling a Highly Renewable Brazilian Power System
Abstract Improvements in modelling energy systems of populous emerging economies are highly decisive for a successful global energy transition. The models used–increasingly open source–still need more appropriate open data. As an illustrative example, we take the Brazilian energy system, which has g...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-02-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-023-01992-9 |
| _version_ | 1797865644721438720 |
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| author | Ying Deng Karl-Kiên Cao Wenxuan Hu Ronald Stegen Kai von Krbek Rafael Soria Pedro Rua Rodriguez Rochedo Patrick Jochem |
| author_facet | Ying Deng Karl-Kiên Cao Wenxuan Hu Ronald Stegen Kai von Krbek Rafael Soria Pedro Rua Rodriguez Rochedo Patrick Jochem |
| author_sort | Ying Deng |
| collection | DOAJ |
| description | Abstract Improvements in modelling energy systems of populous emerging economies are highly decisive for a successful global energy transition. The models used–increasingly open source–still need more appropriate open data. As an illustrative example, we take the Brazilian energy system, which has great potential for renewable energy resources but still relies heavily on fossil fuels. We provide a comprehensive open dataset for scenario analyses, which can be directly used with the popular open energy system model PyPSA and other modelling frameworks. It includes three categories: (1) time series data of variable renewable potentials, electricity load profiles, inflows for the hydropower plants, and cross-border electricity exchanges; (2) geospatial data on the administrative division of the Brazilian federal states; (3) tabular data, which contains power plant data with installed and planned generation capacities, aggregated grid network topology, biomass thermal plant potential, as well as scenarios of energy demand. Our dataset could enable further global or country-specific energy system studies based on open data relevant to decarbonizing Brazil’s energy system. |
| first_indexed | 2024-04-09T23:11:27Z |
| format | Article |
| id | doaj.art-fb6e87fd0c4c44328706d996ad1fc4db |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-04-09T23:11:27Z |
| publishDate | 2023-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-fb6e87fd0c4c44328706d996ad1fc4db2023-03-22T10:23:01ZengNature PortfolioScientific Data2052-44632023-02-0110112410.1038/s41597-023-01992-9Harmonized and Open Energy Dataset for Modeling a Highly Renewable Brazilian Power SystemYing Deng0Karl-Kiên Cao1Wenxuan Hu2Ronald Stegen3Kai von Krbek4Rafael Soria5Pedro Rua Rodriguez Rochedo6Patrick Jochem7German Aerospace Center (DLR), Institute of Networked Energy SystemsGerman Aerospace Center (DLR), Institute of Networked Energy SystemsGerman Aerospace Center (DLR), Institute of Networked Energy SystemsGerman Aerospace Center (DLR), Institute of Networked Energy SystemsGerman Aerospace Center (DLR), Institute of Networked Energy SystemsDepartment of Mechanical Engineering, Universidad San Francisco de Quito, Diego de Robles y Vía InteroceánicaEnergy Planning Program, Graduate School of Engineering (COPPE), Universidade Federal do Rio de Janeiro, Centro de TecnologiaGerman Aerospace Center (DLR), Institute of Networked Energy SystemsAbstract Improvements in modelling energy systems of populous emerging economies are highly decisive for a successful global energy transition. The models used–increasingly open source–still need more appropriate open data. As an illustrative example, we take the Brazilian energy system, which has great potential for renewable energy resources but still relies heavily on fossil fuels. We provide a comprehensive open dataset for scenario analyses, which can be directly used with the popular open energy system model PyPSA and other modelling frameworks. It includes three categories: (1) time series data of variable renewable potentials, electricity load profiles, inflows for the hydropower plants, and cross-border electricity exchanges; (2) geospatial data on the administrative division of the Brazilian federal states; (3) tabular data, which contains power plant data with installed and planned generation capacities, aggregated grid network topology, biomass thermal plant potential, as well as scenarios of energy demand. Our dataset could enable further global or country-specific energy system studies based on open data relevant to decarbonizing Brazil’s energy system.https://doi.org/10.1038/s41597-023-01992-9 |
| spellingShingle | Ying Deng Karl-Kiên Cao Wenxuan Hu Ronald Stegen Kai von Krbek Rafael Soria Pedro Rua Rodriguez Rochedo Patrick Jochem Harmonized and Open Energy Dataset for Modeling a Highly Renewable Brazilian Power System Scientific Data |
| title | Harmonized and Open Energy Dataset for Modeling a Highly Renewable Brazilian Power System |
| title_full | Harmonized and Open Energy Dataset for Modeling a Highly Renewable Brazilian Power System |
| title_fullStr | Harmonized and Open Energy Dataset for Modeling a Highly Renewable Brazilian Power System |
| title_full_unstemmed | Harmonized and Open Energy Dataset for Modeling a Highly Renewable Brazilian Power System |
| title_short | Harmonized and Open Energy Dataset for Modeling a Highly Renewable Brazilian Power System |
| title_sort | harmonized and open energy dataset for modeling a highly renewable brazilian power system |
| url | https://doi.org/10.1038/s41597-023-01992-9 |
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