Abstract
Sustainable wind energy development takes into account sociocultural variables that can be identified from citizens’ concerns about the use of this renewable energy. These concerns are included in a multicriteria decision aid process, and, expressed as postulates in this study; they are subject to a robustness analysis. The approach is described and applied to the Baie-des-Sables (Canada) Wind farm case study. While this academic post-installation assessment does not affect the current operation of the farm which started back in November 2006, we conclude that if these concerns were considered, another wind farm scenario would have got a higher rating. Robustness analysis with respect to communication tools or type of ownership of the wind farm made it possible to identify objective rules based on changes in the ranking of scenarios. This change was verified using evaluation matrices containing different, maximum and proportional values with respect to the values of the original matrix. The robustness analysis results made it possible to identify, in a conflict situation, opportunities to remove obstacles to wind farm implementation.
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Notes
- 1.
Public Hearing Report 288, July 2012 [online] Available at http://www.bape.gouv.qc.ca/sections/rapports/publications/bape288.pdf (Accessed October 2nd, 2012).
References
Aloulou MA, Kalaï R, Vanderpooten C (2005) Une nouvelle approche de robustesse: α—robustesse lexicographique. EWG-MCDA. Série 3, no 11, Autumn. Presses internationales Polytechnique. Montreal
André P, Delisle C, Revéret JP (2003) L’évaluation des impacts sur l’environnement: processus, acteurs et pratique pour un développement durable. Presses internationales Polytechnique, Montréal
Baburoglu ON, Garr MA (1993) Search conference methodology for practitioners, an introduction. Dans discovering common ground. How future search conferences bring people together to achieve breakthrough innovation, empowerment, shared vision, and collaborative action, sous la direction de Weisbord MR. Berrett-Koehler Publishers, San Francisco
Brans JP, Mareschal B (2002) PROMETHÉE-GAIA. Une méthodologie d’aide à la décision en présence de critères multiples. Éditions de l’Université de Bruxelles
Corsair HJ et al (2009) Multicriteria decision analysis of stream restoration: potential and examples. Group Decision and Negotiation 18(4)
Côté G (2011) ‘Le processus fédéral d’évaluation environnementale et les projets d’exploration et d’exploitation des hydrocarbures dans le golfe du Saint-Laurent’. Paper presented at the Forum inter-provincial sur l’exploration et exploitation des hydrocarbures dans le golfe du Saint-Laurent: préoccupations des communautés côtières. Îles-de-la-Madeleine, Quebec, Canada
Chakhar S, Martel JM (2003) Enhancing Geographical Information Systems Capabilities with Multi-Criteria Evaluation Functions. J geogr Inf Decis Anal 7(2):47–71
Chakhar S, Martel JM (2004) Towards a spatial decision support system: multi-criteria evaluation functions inside geogrpahical information systems. Annales du LAMSADE 2:97
Failing L, Gregory R et al (2007) Integrating science and local knowledge in environmental risk management: a decision-focused approach. Ecol Econ 64(1):47–60
Figueira J, Greco S, Ehrgott M (2005) Introduction to multiple criteria decision analysis: state of the art surveys. Springer Science+Business Media, Inc, USA
Joliveau T (2006) Le rôle des systèmes d’information géographique (SIG) dans la planification territoriale participative. Dans Aide à la décision pour l’aménagement du territoire. Méthodes et outils, sous la direction de Graillot D, Waaub JP LAVOISIER
Kain JH, Söderberg H (2008) Management of complex knowledge in planning for sustainable development: the use of multi-criteria decision aids. Environ Impact Assess Rev 28(1):7–21
Laaribi A, Chevallier JJ, Martel JM (1996) A spatial decision aid: a multicriterion evaluation approach. Comput Environ Urban Syst 20(6):351–366
Larrue C (2000) Analyser les politiques publiques d’environnement. L’Harmattan
Longley PA, Goodchild M, Maguire DJ, Rhind D (2011) Geographic information systems and science. Wiley, New York
Lovett A, Appleton K (2008) GIS for environmental decision-making. CRC Press, Taylor & Francis Group, Boca Raton
Maystre, L. Y. et al. 1994. Méthodes multicritères ELECTRE. Description, conseils pratiques et cas d’application à la gestion environnementale. Presses Polytechniques et Universitaires Romandes, Lausanne
Malczewski J (1999) GIS and multicriteria decision analysis. Wiley, New York
Nobre A et al (2009) Geo-spatial multi-criteria analysis for wave energy conversion system deployment. Renewable Energy 34:97–111
Prades JS, Loulou R, Waaub JP (1998) Stratégies de gestion des gaz à effet de serre. Le cas des transports urbains. Presses de l’Université du Québec
Roy B (2002) Robustesse de quoi et vis-à`vis de quoi mais aussi robustesse pourquoi en aide à la décision? EWG-MCDA Newsletter 3(6), page 3
Roy B (2007) La robustesse en recherche opérationnelle et aide à la décision: Une préoccupation multi facettes. In Roy et al (eds) Robustness in OR-DA. Annales du LAMSADE no 7
Roy B, Bouyssou D (1993) Aide Multicritère à la Décision: Méthodes et Cas. Collection Gestion, Paris
Van Buuren J, Hendriksen A (2010) A learning and decision methodology for drainage and sanitation improvement in developing cities. Dans Social Perspectives on the Sanitation Challenge, sous la direction de Vliet, B., Spaargaren, G. et Oosterveer, P. Dordrecht, Springer Verlag, New York
Vazquez M de L, Waaub J.-P, Ilinca A (2013) Territorial intelligence modeling for energy development (TIMED)—A case study for the Baie-des-Sables (Canada) Wind farm. Int J Multicriteria Decis Mak 3(2–3):236–255
Vincke P (1999) Robust Solutions and Methods in Decision-Aid. J Multi-Crit Decis Anal 8:181–187
Acknowledgments
We acknowledge the financial support of the Natural Sciences and Engineering Research Council (NSERC) and the Wind Energy Research Laboratory of the Université du Quebec à Rimouski for this work.
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de L. Vazquez, M., Waaub, JP., Ilinca, A. (2013). MCDA: Measuring Robustness as a Tool to Address Strategic Wind Farms Issues. In: Cavallaro, F. (eds) Assessment and Simulation Tools for Sustainable Energy Systems. Green Energy and Technology, vol 129. Springer, London. https://doi.org/10.1007/978-1-4471-5143-2_8
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