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Planning support tools for the integration of renewable energy at the regional level

Author

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  • Clarke, J.A.
  • Grant, A.D.

Abstract

A computer-based decision support system, EnTrack, has been established for use by planners and energy managers engaged in the development of renewable energy resources at the regional level. To this end, the project has involved a mix of local authority and academic staff from three European countries. The system provides the means to estimate renewable energy resources subject to selected environmental and socioeconomic constraints, and to explore the matching of energy supply and demand. Its features and methodology are described in detail and preliminary results from field trials, now in progress in three regions, are reported.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:9:y:1996:i:1:p:1090-1093
    DOI: 10.1016/0960-1481(96)88468-0
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    Cited by:

    1. Grassi, Stefano & Chokani, Ndaona & Abhari, Reza S., 2012. "Large scale technical and economical assessment of wind energy potential with a GIS tool: Case study Iowa," Energy Policy, Elsevier, vol. 45(C), pages 73-85.
    2. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    3. Qianna Wang & Martin Mwirigi M'Ikiugu & Isami Kinoshita, 2014. "A GIS-Based Approach in Support of Spatial Planning for Renewable Energy: A Case Study of Fukushima, Japan," Sustainability, MDPI, vol. 6(4), pages 1-31, April.
    4. 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.
    5. Araújo, Aruzza Mabel de Morais & Lima, Regineide de Oliveira & Gondim, Amanda Duarte & Diniz, Juraci & Souza, Luiz Di & Araujo, Antonio Souza de, 2017. "Thermal and catalytic pyrolysis of sunflower oil using AlMCM-41," Renewable Energy, Elsevier, vol. 101(C), pages 900-906.

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