Plazas-Niño F A, Ortiz-Pimiento N R, Quirós-Tortós J
Industrial and Business Studies School, Universidad Industrial de Santander, Bucaramanga, Colombia.
School of Electrical Engineering, University of Costa Rica, San José, Costa Rica.
Data Brief. 2023 May 26;48:109268. doi: 10.1016/j.dib.2023.109268. eCollection 2023 Jun.
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data, which may pose significant challenges in developing countries where data accessibility is limited, incomplete, outdated, or inadequate.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.
脱碳路径已成为全球气候变化缓解战略的关键要素。能源系统建模被广泛认为是一种支持制定明智的能源脱碳政策的工具。然而，能源模型的开发严重依赖高质量的输入数据，这在数据获取受限、不完整、过时或不足的发展中国家可能带来重大挑战。此外，虽然各国可能存在模型，但这些模型并非公开可用；因此，无法检索、重复、重建、实现互操作性或进行审计（U4RIA）。本文展示了一个适用于哥伦比亚的开放技术经济能源数据集，该数据集符合U4RIA标准，因为它可被透明地用于模拟脱碳路径并支持该国的能源规划。尽管该数据集是特定于哥伦比亚的，但大部分数据基于技术，因此适用于其他国家。文中描述了多样的数据源、假设和建模指南，以促进新数据集的创建。该数据集不仅提高了哥伦比亚，也提高了其他发展中国家政策制定者、利益相关者和研究人员获取能源数据的便利性。
