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Territorial intelligence modelling for energy development (TIMED) - a case study for the Baie-des-Sables (Canada) wind farm

Author

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  • Maria de L. Vazquez
  • Jean-Philippe Waaub
  • Adrian Ilinca

Abstract

This paper presents the application of a new approach, territorial intelligence modelling for energy development (TIMED), developed in response to growing concerns about the social acceptance of wind farms. Project development is based on procedure transparency and involvement of all stakeholders. To do this, the TIMED approach involves two multi-criteria methods: multi-criteria decision aid (MCDA) and participatory and collaborative geographic information systems (GIS). The model was tested in the Baie-des-Sables wind farm plan located in Quebec, Canada. This was done as an academic research and did not impact the current operation of the farm, which started back in November 2006. If this approach requires more efforts from the wind farm developer at the preparation stage it has the advantages of reducing the risks and overall duration of the infrastructure launching.

Suggested Citation

  • Maria de L. Vazquez & Jean-Philippe Waaub & Adrian Ilinca, 2013. "Territorial intelligence modelling for energy development (TIMED) - a case study for the Baie-des-Sables (Canada) wind farm," International Journal of Multicriteria Decision Making, Inderscience Enterprises Ltd, vol. 3(2/3), pages 236-255.
    • Handle: RePEc:ids:ijmcdm:v:3:y:2013:i:2/3:p:236-255
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    Cited by:

    1. Jean-Francois Guay & Jean-Philippe Waaub, 2019. "SOMERSET-P: a GIS-based/MCDA platform for strategic planning scenarios’ ranking and decision-making in conflictual socioecosystem," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 7(3), pages 301-325, November.

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