Optimizing Solar Potential Analysis in Cuba: A Methodology for High-Resolution Regional Mapping

Author:

Domínguez Javier1ORCID,Bellini Carlo2,Martín Ana María1,Zarzalejo Luis F.1ORCID

Affiliation:

1. Renewable Energies Division, Centre for Energy, Environmental and Technological Research (CIEMAT), 28040 Madrid, Spain

2. Department of Industrial Engineering, University of Padova, 35131 Padova, Italy

Abstract

The development of solar energy at a regional scale necessitates a thorough understanding of available resources. Cuba, facing prolonged economic, environmental, and energy crises, urgently needs to enhance its sustainability through solar energy. Although solar resource mapping is widespread, Cuba lacks extensive field measurements, often relying on models that may not be ideally suited for large regions, like Matanzas province. Spanning over 12,000 km² with nearly 150 km between its northern and southern extremes, Matanzas presents challenges for high-resolution solar mapping. This study introduces a methodology that integrates various methods and databases to achieve the maximum resolution in the resulting solar map. This approach is designed for large areas, where conventional high-resolution models fall short. By optimizing calculation times and parameterizing the entire surface latitudinally, a high-resolution solar resource map for Matanzas has been developed. This map significantly enhances the understanding of solar resources in Cuba and enables the proposal of new methodologies for analyzing solar potential in similarly large regions.

Funder

Spanish Agency for International Development Cooperation

ERASMUS + program of the European Union

Publisher

MDPI AG

Reference56 articles.

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3. Domínguez, J., Arribas, L., de Diego, L., Herrera, I., and Zarzalejo, L. (2022). Sistema Integrado de Control Para el Abastecimiento de Energía Mediante Sistemas Híbridos en Comunidades Aisladas de Cuba. Fase II (Proyecto HIBRI2) 1520, CIEMAT. Available online: https://www.ciemat.es/portal.do?TR=A&IDR=1&identificador=1046.

4. Domínguez, J., Bellini, C., Arribas, L., Amador, J., Torres-Pérez, M., and Martín, A.M. (2024). IntiGIS-Local: A Geospatial Approach to Assessing Rural Electrification Alternatives for Sustainable Socio-Economic Development in Isolated Communities—A Case Study of Guasasa, Cuba. Energies, 17.

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