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Development of a decision support system for setting up a wind energy policy across the Walloon Region (southern Belgium)

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  • Lejeune, P.
  • Feltz, C.

Abstract

Wallonia (the region covering southern Belgium) is committed to making a significant increase in its wind-powered electricity production capacity by 2010. Therefore, a decision support system designed to evaluate and map environmental and landscape constraints fundamental to the building of wind farms was developed for the whole Walloon Region (17,000km2). This system is a geodatabase using 40 criteria (landscape or environmental) corresponding to three constraint levels (exclusion, highly sensitive and sensitive). This geodatabase also has analysis functions developed in the ArcGIS 9 software environment that are used to update the overall constraints map, to analyse sensitivity with respect to constraint criteria-defining parameters as well as to perform full diagnostic studies on wind farm projects.

Suggested Citation

  • Lejeune, P. & Feltz, C., 2008. "Development of a decision support system for setting up a wind energy policy across the Walloon Region (southern Belgium)," Renewable Energy, Elsevier, vol. 33(11), pages 2416-2422.
    • Handle: RePEc:eee:renene:v:33:y:2008:i:11:p:2416-2422
    DOI: 10.1016/j.renene.2008.02.011
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    References listed on IDEAS

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    1. Hillring, Bengt & Krieg, Roland, 1998. "Wind energy potential in southern Sweden—Example of planning methodology," Renewable Energy, Elsevier, vol. 13(4), pages 471-479.
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    3. Krewitt, W. & Nitsch, J., 2003. "The potential for electricity generation from on-shore wind energy under the constraints of nature conservation: a case study for two regions in Germany," Renewable Energy, Elsevier, vol. 28(10), pages 1645-1655.
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    1. Otero, César & Manchado, Cristina & Arias, Rubén & Bruschi, Viola M. & Gómez-Jáuregui, Valentín & Cendrero, Antonio, 2012. "Wind energy development in Cantabria, Spain. Methodological approach, environmental, technological and social issues," Renewable Energy, Elsevier, vol. 40(1), pages 137-149.
    2. Atici, Kazim Baris & Simsek, Ahmet Bahadir & Ulucan, Aydin & Tosun, Mustafa Umur, 2015. "A GIS-based Multiple Criteria Decision Analysis approach for wind power plant site selection," Utilities Policy, Elsevier, vol. 37(C), pages 86-96.
    3. David Severin Ryberg & Martin Robinius & Detlef Stolten, 2018. "Evaluating Land Eligibility Constraints of Renewable Energy Sources in Europe," Energies, MDPI, vol. 11(5), pages 1-19, May.
    4. Latinopoulos, D. & Kechagia, K., 2015. "A GIS-based multi-criteria evaluation for wind farm site selection. A regional scale application in Greece," Renewable Energy, Elsevier, vol. 78(C), pages 550-560.
    5. McWilliam, M.K. & van Kooten, G.C. & Crawford, C., 2012. "A method for optimizing the location of wind farms," Renewable Energy, Elsevier, vol. 48(C), pages 287-299.
    6. Schillings, Christoph & Wanderer, Thomas & Cameron, Lachlan & van der Wal, Jan Tjalling & Jacquemin, Jerome & Veum, Karina, 2012. "A decision support system for assessing offshore wind energy potential in the North Sea," Energy Policy, Elsevier, vol. 49(C), pages 541-551.
    7. 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.
    8. Mourmouris, J.C. & Potolias, C., 2013. "A multi-criteria methodology for energy planning and developing renewable energy sources at a regional level: A case study Thassos, Greece," Energy Policy, Elsevier, vol. 52(C), pages 522-530.

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