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Wind Farm Siting Using a Spatial Analytic Hierarchy Process Approach: A Case Study of the Städteregion Aachen

Author

Listed:
  • Höfer, Tim

    (RWTH Aachen University)

  • Sunak, Yasin

    (E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN))

  • Siddique, Hafiz

    (Institute for Power Generation and Storage Systems (PGS))

  • Madlener, Reinhard

    (E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN))

Abstract
Wind energy is one of the most important renewable energy sources in Germany and plays a key role regarding energy and climate policy targets of the German government. However, a further diffusion of wind farms involves strong spatial implications that refer to various adverse effects on landscape (onshore wind), noise level, and wildlife. Negative environmental impacts caused by the sometimes suboptimal siting of wind farms have induced an increasing gap between the social acceptance of this technology on the global and local levels. Particularly on the local level, siting processes of wind farm projects often trigger public protest. The aim of this paper is to improve the siting assessment by providing a holistic multi-criteria decision making approach that incorporates techno-economic, socio-political, and environmental criteria, which are defined in a way that social acceptance-related issues are specifically emphasized. We apply a GIS-based Analytic Hierarchy Process approach, where a group of local experts is asked to pairwise compare the incorporated criteria in order to derive the relative importance of each criterion. The results obtained indicate that 9.4% of the study area is still available for wind energy development, whereas only 1.74% of the region is characterized by high suitability. In particular, the northern part of the region still offers substantial unexploited wind energy potential. A comparison with the location of existing wind farms and a sensitivity analysis validate the reliability and accuracy of the model results.

Suggested Citation

  • Höfer, Tim & Sunak, Yasin & Siddique, Hafiz & Madlener, Reinhard, 2014. "Wind Farm Siting Using a Spatial Analytic Hierarchy Process Approach: A Case Study of the Städteregion Aachen," FCN Working Papers 16/2014, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    • Handle: RePEc:ris:fcnwpa:2014_016
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    References listed on IDEAS

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    1. James S. Dyer, 1990. "Remarks on the Analytic Hierarchy Process," Management Science, INFORMS, vol. 36(3), pages 249-258, March.
    2. Sultana, Arifa & Kumar, Amit, 2012. "Optimal siting and size of bioenergy facilities using geographic information system," Applied Energy, Elsevier, vol. 94(C), pages 192-201.
    3. Saaty, Thomas L., 2003. "Decision-making with the AHP: Why is the principal eigenvector necessary," European Journal of Operational Research, Elsevier, vol. 145(1), pages 85-91, February.
    4. Janke, Jason R., 2010. "Multicriteria GIS modeling of wind and solar farms in Colorado," Renewable Energy, Elsevier, vol. 35(10), pages 2228-2234.
    5. van der Horst, Dan, 2007. "NIMBY or not? Exploring the relevance of location and the politics of voiced opinions in renewable energy siting controversies," Energy Policy, Elsevier, vol. 35(5), pages 2705-2714, May.
    6. Dominic Gastes & Wolfgang Gaul, 2012. "The Consistency Adjustment Problem of AHP Pairwise Comparison Matrices," Springer Books, in: Adamantios Diamantopoulos & Wolfgang Fritz & Lutz Hildebrandt (ed.), Quantitative Marketing and Marketing Management, edition 127, chapter 2, pages 51-62, Springer.
    7. Ernest H. Forman & Saul I. Gass, 2001. "The Analytic Hierarchy Process---An Exposition," Operations Research, INFORMS, vol. 49(4), pages 469-486, August.
    8. 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.
    9. Ramírez-Rosado, Ignacio J. & García-Garrido, Eduardo & Fernández-Jiménez, L. Alfredo & Zorzano-Santamaría, Pedro J. & Monteiro, Cláudio & Miranda, Vladimiro, 2008. "Promotion of new wind farms based on a decision support system," Renewable Energy, Elsevier, vol. 33(4), pages 558-566.
    10. Krohn, Søren & Damborg, Steffen, 1999. "On public attitudes towards wind power," Renewable Energy, Elsevier, vol. 16(1), pages 954-960.
    11. Patrick T. Harker & Luis G. Vargas, 1990. "Reply to "Remarks on the Analytic Hierarchy Process" by J. S. Dyer," Management Science, INFORMS, vol. 36(3), pages 269-273, March.
    12. Rodman, Laura C. & Meentemeyer, Ross K., 2006. "A geographic analysis of wind turbine placement in Northern California," Energy Policy, Elsevier, vol. 34(15), pages 2137-2149, October.
    13. Sunak, Yasin & Madlener, Reinhard, 2012. "The Impact of Wind Farms on Property Values: A Geographically Weighted Hedonic Pricing Model," FCN Working Papers 3/2012, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised Mar 2013.
    14. Sunak, Yasin & Madlener, Reinhard, 2014. "Local Impacts of Wind Farms on Property Values: A Spatial Difference-in-Differences Analysis," FCN Working Papers 1/2014, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised Oct 2014.
    15. Forman, Ernest & Peniwati, Kirti, 1998. "Aggregating individual judgments and priorities with the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 108(1), pages 165-169, July.
    16. Baban, Serwan M.J & Parry, Tim, 2001. "Developing and applying a GIS-assisted approach to locating wind farms in the UK," Renewable Energy, Elsevier, vol. 24(1), pages 59-71.
    17. van Haaren, Rob & Fthenakis, Vasilis, 2011. "GIS-based wind farm site selection using spatial multi-criteria analysis (SMCA): Evaluating the case for New York State," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(7), pages 3332-3340, September.
    18. Aydin, Nazli Yonca & Kentel, Elcin & Duzgun, Sebnem, 2010. "GIS-based environmental assessment of wind energy systems for spatial planning: A case study from Western Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 364-373, January.
    19. Franco, Camilo & Bojesen, Mikkel & Hougaard, Jens Leth & Nielsen, Kurt, 2015. "A fuzzy approach to a multiple criteria and Geographical Information System for decision support on suitable locations for biogas plants," Applied Energy, Elsevier, vol. 140(C), pages 304-315.
    20. George C. Ledec & Kennan W. Rapp & Roberto G. Aiello, 2011. "Greening the Wind : Environmental and Social Considerations for Wind Power Development," World Bank Publications - Books, The World Bank Group, number 2388.
    21. Sánchez-Lozano, J.M. & García-Cascales, M.S. & Lamata, M.T., 2014. "Identification and selection of potential sites for onshore wind farms development in Region of Murcia, Spain," Energy, Elsevier, vol. 73(C), pages 311-324.
    22. Höhn, J. & Lehtonen, E. & Rasi, S. & Rintala, J., 2014. "A Geographical Information System (GIS) based methodology for determination of potential biomasses and sites for biogas plants in southern Finland," Applied Energy, Elsevier, vol. 113(C), pages 1-10.
    23. James S. Dyer, 1990. "A Clarification of "Remarks on the Analytic Hierarchy Process"," Management Science, INFORMS, vol. 36(3), pages 274-275, March.
    24. Thomas L. Saaty, 1990. "An Exposition of the AHP in Reply to the Paper "Remarks on the Analytic Hierarchy Process"," Management Science, INFORMS, vol. 36(3), pages 259-268, March.
    25. Maria Garbuzova-Schlifter & Reinhard Madlener, 2017. "Risk Analysis of Energy Performance Contracting Projects in Russia: An Analytic Hierarchy Process Approach," Operations Research Proceedings, in: Karl Franz Dörner & Ivana Ljubic & Georg Pflug & Gernot Tragler (ed.), Operations Research Proceedings 2015, pages 683-690, Springer.
    26. Kann, Shayle, 2009. "Overcoming barriers to wind project finance in Australia," Energy Policy, Elsevier, vol. 37(8), pages 3139-3148, August.
    27. Omitaomu, Olufemi A. & Blevins, Brandon R. & Jochem, Warren C. & Mays, Gary T. & Belles, Randy & Hadley, Stanton W. & Harrison, Thomas J. & Bhaduri, Budhendra L. & Neish, Bradley S. & Rose, Amy N., 2012. "Adapting a GIS-based multicriteria decision analysis approach for evaluating new power generating sites," Applied Energy, Elsevier, vol. 96(C), pages 292-301.
    28. Zanakis, Stelios H. & Solomon, Anthony & Wishart, Nicole & Dublish, Sandipa, 1998. "Multi-attribute decision making: A simulation comparison of select methods," European Journal of Operational Research, Elsevier, vol. 107(3), pages 507-529, June.
    29. Schallenberg-Rodríguez, Julieta & Notario-del Pino, Jesús, 2014. "Evaluation of on-shore wind techno-economical potential in regions and islands," Applied Energy, Elsevier, vol. 124(C), pages 117-129.
    30. Wolsink, Maarten, 2007. "Planning of renewables schemes: Deliberative and fair decision-making on landscape issues instead of reproachful accusations of non-cooperation," Energy Policy, Elsevier, vol. 35(5), pages 2692-2704, May.
    31. Pohekar, S. D. & Ramachandran, M., 2004. "Application of multi-criteria decision making to sustainable energy planning--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(4), pages 365-381, August.
    32. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    33. Gorsevski, Pece V. & Cathcart, Steven C. & Mirzaei, Golrokh & Jamali, Mohsin M. & Ye, Xinyue & Gomezdelcampo, Enrique, 2013. "A group-based spatial decision support system for wind farm site selection in Northwest Ohio," Energy Policy, Elsevier, vol. 55(C), pages 374-385.
    34. Ramanathan, R. & Ganesh, L. S., 1994. "Group preference aggregation methods employed in AHP: An evaluation and an intrinsic process for deriving members' weightages," European Journal of Operational Research, Elsevier, vol. 79(2), pages 249-265, December.
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    More about this item

    Keywords

    Wind farm siting; Multi-criteria decision making; Analytic hierarchy process; GIS;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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