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GIS tools for renewable energy modelling

Author

Listed:
  • Sørensen, Bent
  • Meibom, Peter

Abstract

In contrast to conventional energy modeling made on a national basis, we consider energy use and supply per unit of land area. This is particularly suited for dealing with dispersed energy resources such as renewable energy, and by making the match of demand with supply on this basis in a geographical information system (GIS), we are able to directly identify any mismatch entailing needs for energy trade and establishment of energy exchange facilities (power grids, gas distribution lines, etc.). The model is being applied to several global energy scenarios and constitutes a quite general tool for system modeling, assessment and planning.

Suggested Citation

  • Sørensen, Bent & Meibom, Peter, 1999. "GIS tools for renewable energy modelling," Renewable Energy, Elsevier, vol. 16(1), pages 1262-1267.
  • Handle: RePEc:eee:renene:v:16:y:1999:i:1:p:1262-1267
    DOI: 10.1016/S0960-1481(98)00514-X
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    Citations

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    Cited by:

    1. La Guardia, Marcello & D'Ippolito, Filippo & Cellura, Maurizio, 2022. "A GIS-based optimization model finalized to the localization of new power-to-gas plants: The case study of Sicily (Italy)," Renewable Energy, Elsevier, vol. 197(C), pages 828-835.
    2. Calvert, K. & Pearce, J.M. & Mabee, W.E., 2013. "Toward renewable energy geo-information infrastructures: Applications of GIScience and remote sensing that build institutional capacity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 416-429.
    3. Dutra, Ricardo & Szklo, Alexandre, 2008. "Assessing long-term incentive programs for implementing wind power in Brazil using GIS rule-based methods," Renewable Energy, Elsevier, vol. 33(12), pages 2507-2515.
    4. Calvert, K., 2011. "Geomatics and bioenergy feasibility assessments: Taking stock and looking forward," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 1117-1124, February.
    5. Luis Arribas & Yolanda Lechón & Alberto Perula & Javier Domínguez & Manuel Ferres & Jorge Navarro & Luis F. Zarzalejo & Carolina García Barquero & Ignacio Cruz, 2021. "Review of Data and Data Sources for the Assessment of the Potential of Utility-Scale Hybrid Wind–Solar PV Power Plants Deployment, under a Microgrid Scope," Energies, MDPI, vol. 14(21), pages 1-23, November.
    6. Möller, Bernd & Wiechers, Eva & Persson, Urban & Grundahl, Lars & Lund, Rasmus Søgaard & Mathiesen, Brian Vad, 2019. "Heat Roadmap Europe: Towards EU-Wide, local heat supply strategies," Energy, Elsevier, vol. 177(C), pages 554-564.
    7. Laha, Priyanka & Chakraborty, Basab, 2017. "Energy model – A tool for preventing energy dysfunction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 95-114.

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