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The Use of Comparative Multi-Criteria Analysis Methods to Evaluate Criteria Weighting in Assessments of Onshore Wind Farm Projects

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  • Dimitra G. Vagiona

    (Department of Spatial Planning and Development, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

Abstract

This research provides a comparative analysis of different methods of weighting criteria used in the investigation of site suitability of existing onshore wind farm projects. The ranking of this suitability was performed by integrating various multi-criteria decision-making (MCDM) techniques. The assessments of the site suitability of such projects considered several criteria, including wind velocity, distance from high-electricity grids, slope, distance from road networks, installed capacity, distance from protected areas, years of operation, and distance from settlements. Both subjective and objective methods were used to compute criteria weights and compare the results, which is the main contribution of the paper. This is especially significant, as criteria weighting in the wind farm siting literature is mainly focused on subjective methods, and therefore the criteria weights are provided by subjective judgments. In this study, 374 existing onshore wind farm projects in Greece served as alternatives, and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method was employed to rank their suitability. The results show very high positive correlations in the rankings of both the evaluation criteria and the alternatives when subjective methods are used. Using objective weighting methods may provide a robust solution when expert judgement is missing, and the CRITIC method seems to present a high correlation with subjective MCDM methods regarding the ranking of alternatives. Various MCDM methods could be used to assess the weighting of criteria in challenges related to site suitability of renewable energy projects, as they can aid in the selection of the most sustainable sites while minimizing the downsides and maximizing the benefits of each method.

Suggested Citation

  • Dimitra G. Vagiona, 2025. "The Use of Comparative Multi-Criteria Analysis Methods to Evaluate Criteria Weighting in Assessments of Onshore Wind Farm Projects," Energies, MDPI, vol. 18(4), pages 1-19, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:4:p:771-:d:1585791
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    1. 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.
    2. Shafiqur Rehman & Abdul Baseer Mohammed & Luai Alhems, 2020. "A Heuristic Approach to Siting and Design Optimization of an Onshore Wind Farm Layout," Energies, MDPI, vol. 13(22), pages 1-18, November.
    3. Mareschal, Bertrand, 1988. "Weight stability intervals in multicriteria decision aid," European Journal of Operational Research, Elsevier, vol. 33(1), pages 54-64, January.
    4. Aleksandras Krylovas & Rūta Dadelienė & Natalja Kosareva & Stanislav Dadelo, 2019. "Comparative Evaluation and Ranking of the European Countries Based on the Interdependence between Human Development and Internal Security Indicators," Mathematics, MDPI, vol. 7(3), pages 1-18, March.
    5. Al-Yahyai, Sultan & Charabi, Yassine & Gastli, Adel & Al-Badi, Abdullah, 2012. "Wind farm land suitability indexing using multi-criteria analysis," Renewable Energy, Elsevier, vol. 44(C), pages 80-87.
    6. Ali, Shahid & Taweekun, Juntakan & Techato, Kuaanan & Waewsak, Jompob & Gyawali, Saroj, 2019. "GIS based site suitability assessment for wind and solar farms in Songkhla, Thailand," Renewable Energy, Elsevier, vol. 132(C), pages 1360-1372.
    7. Kim, Choong-Ki & Jang, Seonju & Kim, Tae Yun, 2018. "Site selection for offshore wind farms in the southwest coast of South Korea," Renewable Energy, Elsevier, vol. 120(C), pages 151-162.
    8. Ma, Jian & Fan, Zhi-Ping & Huang, Li-Hua, 1999. "A subjective and objective integrated approach to determine attribute weights," European Journal of Operational Research, Elsevier, vol. 112(2), pages 397-404, January.
    9. Maria Panagiotidou & George Xydis & Christopher Koroneos, 2016. "Environmental Siting Framework for Wind Farms: A Case Study in the Dodecanese Islands," Resources, MDPI, vol. 5(3), pages 1-25, July.
    10. Dimitra G. Vagiona, 2021. "Comparative Multicriteria Analysis Methods for Ranking Sites for Solar Farm Deployment: A Case Study in Greece," Energies, MDPI, vol. 14(24), pages 1-23, December.
    11. Cunden, Tyagaraja S.M. & Doorga, Jay & Lollchund, Michel R. & Rughooputh, Soonil D.D.V., 2020. "Multi-level constraints wind farms siting for a complex terrain in a tropical region using MCDM approach coupled with GIS," Energy, Elsevier, vol. 211(C).
    12. 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.
    13. Simsek, Yeliz & Watts, David & Escobar, Rodrigo, 2018. "Sustainability evaluation of Concentrated Solar Power (CSP) projects under Clean Development Mechanism (CDM) by using Multi Criteria Decision Method (MCDM)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 421-438.
    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.
    15. Saraswat, S.K. & Digalwar, Abhijeet K. & Yadav, S.S. & Kumar, Gaurav, 2021. "MCDM and GIS based modelling technique for assessment of solar and wind farm locations in India," Renewable Energy, Elsevier, vol. 169(C), pages 865-884.
    16. Anne A. Gharaibeh & Deema A. Al-Shboul & Abdulla M. Al-Rawabdeh & Rasheed A. Jaradat, 2021. "Establishing Regional Power Sustainability and Feasibility Using Wind Farm Land-Use Optimization," Land, MDPI, vol. 10(5), pages 1-32, April.
    17. Baseer, M.A. & Rehman, S. & Meyer, J.P. & Alam, Md. Mahbub, 2017. "GIS-based site suitability analysis for wind farm development in Saudi Arabia," Energy, Elsevier, vol. 141(C), pages 1166-1176.
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