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Application of geographical information systems to rural electrification with renewable energy sources

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  • Amador, J.
  • Domínguez, J.

Abstract

This paper approaches one of the main problems of rural electrification: the choice of the most appropriate technology for each case. The main objective of this project is to apply Geographical Information Systems (GIS) to divide the research zone into areas in that are more appropriate for either conventional or renewable technologies. The approaches for choosing among the different technologies are usually technical and economic; these may be jointly considered by the leveling electric cost (LEC). Determination of the LEC is a complex task that requires knowledge of the capacity factor. This paper shows the conclusions of the technical and economic parameter analysis involved in the determination of the LEC for each technology. This analysis has allowed us to carry out proposals of improvement in the methodology of the GIS of rural electrification. The resulting GIS has been verified in the municipality of Lorca (Murcia, Spain).

Suggested Citation

  • Amador, J. & Domínguez, J., 2005. "Application of geographical information systems to rural electrification with renewable energy sources," Renewable Energy, Elsevier, vol. 30(12), pages 1897-1912.
    • Handle: RePEc:eee:renene:v:30:y:2005:i:12:p:1897-1912
    DOI: 10.1016/j.renene.2004.12.007
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    References listed on IDEAS

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    1. Muselli, M. & Notton, G. & Poggi, P. & Louche, A., 1999. "Computer-aided analysis of the integration of renewable-energy systems in remote areas using a geographical-information system," Applied Energy, Elsevier, vol. 63(3), pages 141-160, July.
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    2. Amador, J. & Domínguez, J., 2006. "Spatial analysis methodology applied to rural electrification," Renewable Energy, Elsevier, vol. 31(10), pages 1505-1520.
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    6. Carrión, J. Arán & Espín Estrella, A. & Aznar Dols, F. & Ridao, A. Ramos, 2008. "The electricity production capacity of photovoltaic power plants and the selection of solar energy sites in Andalusia (Spain)," Renewable Energy, Elsevier, vol. 33(4), pages 545-552.
    7. Javier Domínguez & Carlo Bellini & Luis Arribas & Julio Amador & Mirelys Torres-Pérez & Ana M. Martín, 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, MDPI, vol. 17(15), pages 1-37, August.
    8. Gallego, Aurea & Calafat, Consuelo & Segura, Marina & Quintanilla, Israel, 2019. "Land planning and risk assessment for livestock production based on an outranking approach and GIS," Land Use Policy, Elsevier, vol. 83(C), pages 606-621.
    9. Mari, Riccardo & Bottai, Lorenzo & Busillo, Caterina & Calastrini, Francesca & Gozzini, Bernardo & Gualtieri, Giovanni, 2011. "A GIS-based interactive web decision support system for planning wind farms in Tuscany (Italy)," Renewable Energy, Elsevier, vol. 36(2), pages 754-763.
    10. Sarmiento, Nilsa & Belmonte, Silvina & Dellicompagni, Pablo & Franco, Judith & Escalante, Karina & Sarmiento, Joaquín, 2019. "A solar irradiation GIS as decision support tool for the Province of Salta, Argentina," Renewable Energy, Elsevier, vol. 132(C), pages 68-80.
    11. Defne, Zafer & Haas, Kevin A. & Fritz, Hermann M., 2011. "GIS based multi-criteria assessment of tidal stream power potential: A case study for Georgia, USA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(5), pages 2310-2321, June.
    12. Meza, Carlos Germán & Zuluaga Rodríguez, Catalina & D'Aquino, Camila Agner & Amado, Nilton Bispo & Rodrigues, Alcantaro & Sauer, Ildo Luis, 2019. "Toward a 100% renewable island: A case study of Ometepe's energy mix," Renewable Energy, Elsevier, vol. 132(C), pages 628-648.
    13. Abdul-Salam, Yakubu & Phimister, Euan, 2016. "The politico-economics of electricity planning in developing countries: A case study of Ghana," Energy Policy, Elsevier, vol. 88(C), pages 299-309.
    14. Sánchez-Lozano, Juan M. & Henggeler Antunes, Carlos & García-Cascales, M. Socorro & Dias, Luis C., 2014. "GIS-based photovoltaic solar farms site selection using ELECTRE-TRI: Evaluating the case for Torre Pacheco, Murcia, Southeast of Spain," Renewable Energy, Elsevier, vol. 66(C), pages 478-494.
    15. Fonseca, Jimeno A. & Schlueter, Arno, 2015. "Integrated model for characterization of spatiotemporal building energy consumption patterns in neighborhoods and city districts," Applied Energy, Elsevier, vol. 142(C), pages 247-265.

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