Open energy data in Spain and its contribution to sustainability: content and reuse potential

Curto Rodríguez, Ricardo ORCID: https://orcid.org/0000-0002-6628-5278, Marcos Sánchez, Rafael ORCID: https://orcid.org/0000-0002-3179-6211, Zaragoza Benzal, Alicia ORCID: https://orcid.org/0009-0002-7799-9740 and Ferrández Vega, Daniel ORCID: https://orcid.org/0000-0003-0226-431X (2025). Open energy data in Spain and its contribution to sustainability: content and reuse potential. "Sustainability", v. 17 (n. 15); p. 6731. ISSN 2071-1050. https://doi.org/10.3390/su17156731.

Descripción

Título: Open energy data in Spain and its contribution to sustainability: content and reuse potential
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Sustainability
Fecha: 24 Julio 2025
ISSN: 2071-1050
Volumen: 17
Número: 15
Materias:
ODS:
Palabras Clave Informales: Datos abiertos ; Open data ; Sector energético ; Sosteniblilidad ; Desarrollo económico ; España ; Comunidades autónomas ; Análisis de datos
Escuela: E.T.S. de Edificación (UPM)
Departamento: Tecnología de la Edificación
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

This paper presents a study on open energy data in Spain and its contribution to sustainability, analyzing its content and its reuse potential. Since energy plays an important role in the sustainability and economic development of a country or region, energy strategies must be managed through public policies that promote the development of this sector. In this sense, open data is relevant for decision-making in the energy sector, especially in areas such as energy consumption and renewable energy policies. Our research aims to analyze the work of Spain's autonomous communities in the field of energy information by conducting a population analysis of all datasets tagged in the energy category. After compiling the information and eliminating irrelevant datasets (those that are mislabeled, obsolete, or have a scope less than the level of the autonomous community), it can be seen that the supply is very scarce and that this category is one of the least populated among all existing categories. The typological analysis indicates that information on consumption is the one offering the most datasets, followed, at a short distance, by heterogeneous and difficult-to-classify information and by the set related to energy certificates or audits (the most recurrent, as it is offered only once by the autonomous communities). One of the main findings of the research is the heterogeneity of the initiatives and the significant differences in scores on an indicator created for this purpose. The ranking has taken into account both the existence of information and the quality of reuse, with Catalonia, the Basque Country, and Cantabria being the leaders (with Castilla y Le & oacute;n, the performance reaches 60%, so the three remaining communities do not reach 40%). The research concludes with recommendations based on the gaps detected: more data should be published that can drive economic development and environmental sustainability, reduce heterogeneity, and facilitate the use of these data for greater applicability, which will increase the chances that open energy data can contribute more to sustainability.

Más información

ID de Registro: 95485
Identificador DC: https://oa.upm.es/95485/
Identificador OAI: oai:oa.upm.es:95485
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/10383638
Identificador DOI: 10.3390/su17156731
URL Oficial: https://www.mdpi.com/2071-1050/17/15/6731
Depositado por: iMarina Portal Científico
Depositado el: 15 Abr 2026 16:50
Ultima Modificación: 15 Abr 2026 16:50