Supporting energy system modelling in developing countries: Techno-economic energy dataset for open modelling of decarbonization pathways in Colombia
Decarbonization pathways have emerged as a pivotal element of global climate change mitigation strategies. Energy system modelling is widely recognized as a tool to support the design of informed energy decarbonization policies. However, the development of energy models heavily relies on high-qualit...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340923003876 |
| _version_ | 1797797982900322304 |
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| author | F.A. Plazas-Niño N.R. Ortiz-Pimiento J. Quirós-Tortós |
| author_facet | F.A. Plazas-Niño N.R. Ortiz-Pimiento J. Quirós-Tortós |
| author_sort | F.A. Plazas-Niño |
| collection | DOAJ |
| description | Decarbonization pathways have emerged as a pivotal element of global climate change mitigation strategies. Energy system modelling is widely recognized as a tool to support the design of informed energy decarbonization policies. However, the development of energy models heavily relies on high-quality input data, which may pose significant challenges in developing countries where data accessibility is limited, incomplete, outdated, or inadequate. Moreover, while models may exist in countries, these are not publicly available; therefore, details cannot be retrieved, repeated, reconstructed, interoperable or auditable (U4RIA*⁎ U4RIA: Ubuntu, Retrievability, Reusability, Repeatability, Reconstructability, Interoperability, and Auditability). This paper presents an open techno-economic energy dataset for Colombia that is U4RIA-compliant as it can be used transparently to model decarbonization pathways and support energy planning in the country. Despite being country-specific, most of the data is technology-based and thus applicable to other countries. Diverse sources, assumptions, and modelling guidelines are described to facilitate the creation of new datasets. The dataset enhances the availability of energy data for policymakers, stakeholders, and researchers, not only in Colombia but also in other developing countries. |
| first_indexed | 2024-03-13T03:57:34Z |
| format | Article |
| id | doaj.art-12e581f4f7e54b83a416772171141c62 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-03-13T03:57:34Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-12e581f4f7e54b83a416772171141c622023-06-22T05:04:12ZengElsevierData in Brief2352-34092023-06-0148109268Supporting energy system modelling in developing countries: Techno-economic energy dataset for open modelling of decarbonization pathways in ColombiaF.A. Plazas-Niño0N.R. Ortiz-Pimiento1J. Quirós-Tortós2Industrial and Business Studies School, Universidad Industrial de Santander, Bucaramanga, Colombia; Corresponding author.Industrial and Business Studies School, Universidad Industrial de Santander, Bucaramanga, ColombiaSchool of Electrical Engineering, University of Costa Rica, San José, Costa RicaDecarbonization pathways have emerged as a pivotal element of global climate change mitigation strategies. Energy system modelling is widely recognized as a tool to support the design of informed energy decarbonization policies. However, the development of energy models heavily relies on high-quality input data, which may pose significant challenges in developing countries where data accessibility is limited, incomplete, outdated, or inadequate. Moreover, while models may exist in countries, these are not publicly available; therefore, details cannot be retrieved, repeated, reconstructed, interoperable or auditable (U4RIA*⁎ U4RIA: Ubuntu, Retrievability, Reusability, Repeatability, Reconstructability, Interoperability, and Auditability). This paper presents an open techno-economic energy dataset for Colombia that is U4RIA-compliant as it can be used transparently to model decarbonization pathways and support energy planning in the country. Despite being country-specific, most of the data is technology-based and thus applicable to other countries. Diverse sources, assumptions, and modelling guidelines are described to facilitate the creation of new datasets. The dataset enhances the availability of energy data for policymakers, stakeholders, and researchers, not only in Colombia but also in other developing countries.http://www.sciencedirect.com/science/article/pii/S2352340923003876Energy modellingEnergy transitionEnergy planningOSeMOSYSEnergy policy |
| spellingShingle | F.A. Plazas-Niño N.R. Ortiz-Pimiento J. Quirós-Tortós Supporting energy system modelling in developing countries: Techno-economic energy dataset for open modelling of decarbonization pathways in Colombia Data in Brief Energy modelling Energy transition Energy planning OSeMOSYS Energy policy |
| title | Supporting energy system modelling in developing countries: Techno-economic energy dataset for open modelling of decarbonization pathways in Colombia |
| title_full | Supporting energy system modelling in developing countries: Techno-economic energy dataset for open modelling of decarbonization pathways in Colombia |
| title_fullStr | Supporting energy system modelling in developing countries: Techno-economic energy dataset for open modelling of decarbonization pathways in Colombia |
| title_full_unstemmed | Supporting energy system modelling in developing countries: Techno-economic energy dataset for open modelling of decarbonization pathways in Colombia |
| title_short | Supporting energy system modelling in developing countries: Techno-economic energy dataset for open modelling of decarbonization pathways in Colombia |
| title_sort | supporting energy system modelling in developing countries techno economic energy dataset for open modelling of decarbonization pathways in colombia |
| topic | Energy modelling Energy transition Energy planning OSeMOSYS Energy policy |
| url | http://www.sciencedirect.com/science/article/pii/S2352340923003876 |
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