Your browser doesn't support javascript.
loading
Supporting energy system modelling in developing countries: Techno-economic energy dataset for open modelling of decarbonization pathways in Colombia.
Plazas-Niño, F A; Ortiz-Pimiento, N R; Quirós-Tortós, J.
Afiliação
  • Plazas-Niño FA; Industrial and Business Studies School, Universidad Industrial de Santander, Bucaramanga, Colombia.
  • Ortiz-Pimiento NR; Industrial and Business Studies School, Universidad Industrial de Santander, Bucaramanga, Colombia.
  • Quirós-Tortós J; School of Electrical Engineering, University of Costa Rica, San José, Costa Rica.
Data Brief ; 48: 109268, 2023 Jun.
Article em En | MEDLINE | ID: mdl-37383789
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data, which may pose significant challenges in developing countries where data accessibility is limited, incomplete, outdated, or inadequate.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). 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.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation País/Região como assunto: America do sul / Colombia Idioma: En Revista: Data Brief Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Colômbia País de publicação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation País/Região como assunto: America do sul / Colombia Idioma: En Revista: Data Brief Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Colômbia País de publicação: Holanda