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Computer-aided analysis of the integration of renewable-energy systems in remote areas using a geographical-information system

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  • Muselli, M.
  • Notton, G.
  • Poggi, P.
  • Louche, A.

Abstract

The main objective of this project is to realize an integration plan for various renewable-energy systems in remote areas using a geographical-information system (GIS) in order to determine the optimal management and use of energy in these locations. The area studied is Corsica, an island located in the south-east of France. For the remote site considered, four systems supplying electricity are compared: a stand-alone photovoltaic (PV)/batteries system, a hybrid PV/batteries/back-up generator system, an engine generator and an extension of the existing electrical network. The most economic configuration was chosen as the best solution to electrify the remote site. Physical and technical-economical processes are integrated in the GIS. This GIS is used to determine the profitability boundaries for PV systems compared to a grid extension and under four different load profiles, and has led to the elaboration of an integration plan of renewable energies in south Corsica. The study has shown that for 60-90% of remote sites, a PV decentralized electricity system is the most economical means of electrification.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:63:y:1999:i:3:p:141-160
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    References listed on IDEAS

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    1. Notton, G. & Muselli, M. & Poggi, P., 1998. "Costing of a stand-alone photovoltaic system," Energy, Elsevier, vol. 23(4), pages 289-308.
    2. Clarke, J.A. & Grant, A.D., 1996. "Planning support tools for the integration of renewable energy at the regional level," Renewable Energy, Elsevier, vol. 9(1), pages 1090-1093.
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    2. Yeo, In-Ae & Yoon, Seong-Hwan & Yee, Jurng-Jae, 2013. "Development of an Environment and energy Geographical Information System (E-GIS) construction model to support environmentally friendly urban planning," Applied Energy, Elsevier, vol. 104(C), pages 723-739.
    3. Arnette, Andrew N. & Zobel, Christopher W., 2011. "Spatial analysis of renewable energy potential in the greater southern Appalachian mountains," Renewable Energy, Elsevier, vol. 36(11), pages 2785-2798.
    4. 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.
    5. Proietti, Stefania & Sdringola, Paolo & Castellani, Francesco & Astolfi, Davide & Vuillermoz, Elisa, 2017. "On the contribution of renewable energies for feeding a high altitude Smart Mini Grid," Applied Energy, Elsevier, vol. 185(P2), pages 1694-1701.
    6. Ramirez-Rosado, Ignacio J. & Fernandez-Jimenez, L. Alfredo & Monteiro, Claudio & Garcia-Garrido, Eduardo & Zorzano-Santamaria, Pedro, 2011. "Spatial long-term forecasting of small power photovoltaic systems expansion," Renewable Energy, Elsevier, vol. 36(12), pages 3499-3506.
    7. Weinand, Jann Michael & Scheller, Fabian & McKenna, Russell, 2020. "Reviewing energy system modelling of decentralized energy autonomy," Energy, Elsevier, vol. 203(C).
    8. Mehigan, L. & Deane, J.P. & Gallachóir, B.P.Ó. & Bertsch, V., 2018. "A review of the role of distributed generation (DG) in future electricity systems," Energy, Elsevier, vol. 163(C), pages 822-836.
    9. Mu, Yunfei & Wu, Jianzhong & Jenkins, Nick & Jia, Hongjie & Wang, Chengshan, 2014. "A Spatial–Temporal model for grid impact analysis of plug-in electric vehicles," Applied Energy, Elsevier, vol. 114(C), pages 456-465.
    10. Erdinc, O. & Uzunoglu, M., 2012. "Optimum design of hybrid renewable energy systems: Overview of different approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1412-1425.
    11. Sánchez, David & Bortkiewicz, Anna & Rodríguez, José M. & Martínez, Gonzalo S. & Gavagnin, Giacomo & Sánchez, Tomás, 2016. "A methodology to identify potential markets for small-scale solar thermal power generators," Applied Energy, Elsevier, vol. 169(C), pages 287-300.
    12. 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.

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