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A regional planning approach for the promotion of renewable energies

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  • Sarafidis, Y.
  • Diakoulaki, D.
  • Papayannakis, L.
  • Zervos, A.

Abstract

Besides the necessary policy measures concerning financial or legal aspects of the current energy market, the deployment of renewables can be facilitated by the establishment of different practices in energy analysis and planning. The present paper shows that in order to promote renewables it is necessary to shift from a centralised view of the energy sector to a regional perspective. A bottom-up approach intended to match, at the regional level, the supply of available renewable resources to the particular energy demand profile is presented. The proposed methodology is illustrated by a case study concerning two different Greek regions.

Suggested Citation

  • Sarafidis, Y. & Diakoulaki, D. & Papayannakis, L. & Zervos, A., 1999. "A regional planning approach for the promotion of renewable energies," Renewable Energy, Elsevier, vol. 18(3), pages 317-330.
    • Handle: RePEc:eee:renene:v:18:y:1999:i:3:p:317-330
    DOI: 10.1016/S0960-1481(98)00808-8
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    References listed on IDEAS

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    1. Finon, D. & Lapillonne, B., 1983. "Long term forecasting of energy demand in the developing countries," European Journal of Operational Research, Elsevier, vol. 13(1), pages 12-28, May.
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    Cited by:

    1. Brandoni, Caterina & Polonara, Fabio, 2012. "The role of municipal energy planning in the regional energy-planning process," Energy, Elsevier, vol. 48(1), pages 323-338.
    2. Kautto, N. & Peck, P., 2012. "Regional biomass planning – Helping to realise national renewable energy goals?," Renewable Energy, Elsevier, vol. 46(C), pages 23-30.
    3. Hui, Sam C.M, 2001. "Low energy building design in high density urban cities," Renewable Energy, Elsevier, vol. 24(3), pages 627-640.
    4. 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.
    5. Ritchie, Heather & Hardy, Maelíosa & Lloyd, M. Greg & McGreal, Stanley, 2013. "Big Pylons: Mixed signals for transmission. Spatial planning for energy distribution," Energy Policy, Elsevier, vol. 63(C), pages 311-320.
    6. Comodi, Gabriele & Cioccolanti, Luca & Polonara, Fabio & Brandoni, Caterina, 2012. "Local authorities in the context of energy and climate policy," Energy Policy, Elsevier, vol. 51(C), pages 737-748.
    7. Pereira, Sérgio & Ferreira, Paula & Vaz, A.I.F., 2016. "Optimization modeling to support renewables integration in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 316-325.
    8. Liu, Zhen & Shi, Yuren & Yan, Jianming & Ou, Xunmin & Lieu, Jenny, 2012. "Research on the decomposition model for China’s National Renewable Energy total target," Energy Policy, Elsevier, vol. 51(C), pages 110-120.
    9. 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.
    10. Zangeneh, Ali & Jadid, Shahram & Rahimi-Kian, Ashkan, 2009. "Promotion strategy of clean technologies in distributed generation expansion planning," Renewable Energy, Elsevier, vol. 34(12), pages 2765-2773.
    11. Paredes-Sánchez, José P. & García-Elcoro, Víctor E. & Rosillo-Calle, Frank & Xiberta-Bernat, Jorge, 2016. "Assessment of forest bioenergy potential in a coal-producing area in Asturias (Spain) and recommendations for setting up a Biomass Logistic Centre (BLC)," Applied Energy, Elsevier, vol. 171(C), pages 133-141.

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