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A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: The case study of Nigeria

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  • Ayodele, T.R.
  • Ogunjuyigbe, A.S.O.
  • Odigie, O.
  • Munda, J.L.

Abstract

The development of wind farm projects requires proper planning and evaluation. Most often, the suitability of locations for siting wind farms is based on the wind resource (i.e. wind speeds) of a location. However, other criteria such as environmental, economic, and social factors are also important during the planning stage at arriving at a robust wind farm siting decision. In this paper, a geographic information system-based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process is proposed and implemented to determine the suitable wind farm sites in Nigeria. The model focuses on the use of fuzzy sets to represent expert’s linguistic judgement with the aim of addressing the issues of uncertainty, vagueness and inconsistency in wind farm site selection decision making. The model uses two sets of criteria (weighted and constraint) which are either economic, social, or environmental in evaluating the suitable sites for wind farm development. The results of the study revealed that the best sites for wind farm development are basically located in the Northern part of Nigeria with Bauchi, Jigawa, Kaduna, Kano, Katsina, Plateau, and Sokoto states being the most suitable locations for wind farm projects. The suitable area for locating wind farm in the country is evaluated to be approximately 125728.6 km2, out of which about 2650.1 km2 are considered to be extremely suitable for siting a wind farm. This paper could serve as a first-hand scientific information for decision makers and planners in selecting the optimal suitable site for wind farm development. Although, Nigeria is considered as the case study, the methodology can be severally applied to any region in the world.

Suggested Citation

  • Ayodele, T.R. & Ogunjuyigbe, A.S.O. & Odigie, O. & Munda, J.L., 2018. "A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: The case study of Nigeria," Applied Energy, Elsevier, vol. 228(C), pages 1853-1869.
    • Handle: RePEc:eee:appene:v:228:y:2018:i:c:p:1853-1869
    DOI: 10.1016/j.apenergy.2018.07.051
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    References listed on IDEAS

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    1. Fadare, D.A., 2010. "The application of artificial neural networks to mapping of wind speed profile for energy application in Nigeria," Applied Energy, Elsevier, vol. 87(3), pages 934-942, March.
    2. 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.
    3. Ayodele, T.R. & Ogunjuyigbe, A.S.O., 2016. "Wind energy potential of Vesleskarvet and the feasibility of meeting the South African׳s SANAE IV energy demand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 226-234.
    4. 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.
    5. 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.
    6. Höfer, Tim & Sunak, Yasin & Siddique, Hafiz & Madlener, Reinhard, 2016. "Wind farm siting using a spatial Analytic Hierarchy Process approach: A case study of the Städteregion Aachen," Applied Energy, Elsevier, vol. 163(C), pages 222-243.
    7. Ayodele, T.R. & Ogunjuyigbe, A.S.O. & Amusan, T.O., 2018. "Techno-economic analysis of utilizing wind energy for water pumping in some selected communities of Oyo State, Nigeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 335-343.
    8. Al Garni, Hassan Z. & Awasthi, Anjali, 2017. "Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia," Applied Energy, Elsevier, vol. 206(C), pages 1225-1240.
    9. Gigović, Ljubomir & Pamučar, Dragan & Božanić, Darko & Ljubojević, Srđan, 2017. "Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: A case study of Vojvodina, Serbia," Renewable Energy, Elsevier, vol. 103(C), pages 501-521.
    10. Ayodele, T.R. & Ogunjuyigbe, A.S.O., 2015. "Mitigation of wind power intermittency: Storage technology approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 447-456.
    11. Dragan Pamučar & Ljubomir Gigović & Zoran Bajić & Miljojko Janošević, 2017. "Location Selection for Wind Farms Using GIS Multi-Criteria Hybrid Model: An Approach Based on Fuzzy and Rough Numbers," Sustainability, MDPI, vol. 9(8), pages 1-23, July.
    12. 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.
    13. Sánchez-Lozano, J.M. & García-Cascales, M.S. & Lamata, M.T., 2016. "GIS-based onshore wind farm site selection using Fuzzy Multi-Criteria Decision Making methods. Evaluating the case of Southeastern Spain," Applied Energy, Elsevier, vol. 171(C), pages 86-102.
    14. Villacreses, Geovanna & Gaona, Gabriel & Martínez-Gómez, Javier & Jijón, Diego Juan, 2017. "Wind farms suitability location using geographical information system (GIS), based on multi-criteria decision making (MCDM) methods: The case of continental Ecuador," Renewable Energy, Elsevier, vol. 109(C), pages 275-286.
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