Evaluation of Wind Energy Potential by a Multi-Criteria Approach Based on Fuzzy AHP and GIS Tools. A Case Study of the Oran Region (Algeria)
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Abstract
This research proposes an integrated methodological framework for assessing wind energy potential in the Oran region, Algeria, by combining the Fuzzy Analytic Hierarchy Process (Fuzzy-AHP) with Geographic Information Systems (GIS). This hybrid approach allowed for the integration and evaluation of technical-economic, environmental, and climatic criteria, while capturing uncertainty and subjectivity in the weighting. The ranking of factors revealed that wind resources are the most decisive (48%), followed by terrain slope (24%), proximity to the electrical grid (18%), and road accessibility (10%). The main constraints are the proximity of buildings (44%) and airport zones (31%). The mapping results, obtained at a height of 100 meters, show a differentiated spatial distribution, with highly favorable areas concentrated in the southwest and southeast of Oran. The comparison of aggregation methods highlights the impact of methodological caution: the highly favorable areas range from 11.60% (linear weighting) to only 6.23% (fuzzy AND operator, more restrictive). Ultimately, the study confirms the relevance of the integrated Fuzzy-AHP-GIS approach for sustainable spatial planning, identifying the southwest and southeast areas as priority sites for wind energy development. Future prospects emphasize refining the modeling and incorporating social acceptability.
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References
Aydin, H., Kentel, H., & Duzgun, A. (2013). GIS-based site selection methodology for hybrid renewable energy systems: A case study from western Turkey. Energy Conversion and Management, 70, 90–106. https://doi.org/10.1016/j.enconman.2013.02.004.
Baseer, M. A., Rehman, S., Meyer, J. P., & Alam, M. M. (2017). GIS-based site suitability analysis for wind farm development in Saudi Arabia. Energy, 141, 1166–1176. https://doi.org/10.1016/j.energy.2017.10.016.
Boudia, S. M., & Guerri, O. (2015). Investigation of wind power potential at Oran, northwest of Algeria. Energy Conversion and Management, 105, 81–92. https://doi.org/10.1016/j.enconman.2015.07.055.
Boudia, S. M., & Santos, J. A. (2019). Assessment of large-scale wind resource features in Algeria. Energy, 189, 116299. https://doi.org/10.1016/j.energy.2019.116299.
Buckley, J. J. (1985). Fuzzy hierarchy analysis. Fuzzy Sets and Systems, 17(3), 233–247. https://doi.org/10.1016/0165-0114(85)90090-9.
Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649–655. https://doi.org/10.1016/0377-2217(95)00300-2.
Daaou Nedjari, H., Louassa, S., & Kheder-Haddouche, S. (2025). MCDM GIS framework for wind energy sites suitability in Algeria’s northwest. Energy for Sustainable Development, 89, Article 101836. https://doi.org/10.1016/j.esd.2025.101836.
Denholm, P., Hand, M., Jackson, M., & Ong, S. (2009). Land-use requirements of modern wind power plants in the United States (Technical Report NREL/TP-6A2-45834). National Renewable Energy Laboratory (NREL). https://www.nrel.gov/docs/fy09osti/45834.pdf.
Díaz-Cuevas, P. (2018). GIS-based methodology for evaluating the wind-energy potential of territories: A case study from Andalusia (Spain). Energies, 11(10), 2789. https://doi.org/10.3390/en11102789.
EMD International A/S. (2022). WAsP: Wind Atlas Analysis and Application Program—Technical Reference Documentation. Aalborg, Denmark: EMD International A/S. Retrieved from https://www.emd.dk/windpro/wasp.
Gelaro, R., McCarty, W., Suarez, M. J., et al. (2017). The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). Journal of Climate, 30(14), 5419–5454. https://doi.org/10.1175/JCLI-D-16-0758.1.
Gigovic, L., Pamucar, D., Bozanic, D., & Ljubojevic, S. (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, 103, 501–521. https://doi.org/10.1016/j.renene.2016.11.057.
Gorsevski, P. V., Cathcart, S. C., Mirzaei, G., & Jamali, M. M. (2013). A group-based spatial decision support system for wind farm site selection in Northwest Ohio. Energy Policy, 54, 141–151. https://doi.org/10.1016/j.enpol.2012.12.013.
GWEC. (2024). Global wind report 2024. Global Wind Energy Council, Bruxelles, Belgium.
Himri, Y., Malik, A. S., Boudghene Stambouli, A., Himri, S., & Draoui, B. (2009). Review and use of the Algerian renewable energy for sustainable development. Renewable and Sustainable Energy Reviews, 13(6-7), 1584–1591. https://doi.org/10.1016/j.rser.2008.09.007.
Himri, Y., Merzouk, M., Merzouk, N. K., & Himri, S. (2020). Potential and economic feasibility of wind energy in south west region of Algeria. Sustainable Energy Technologies and Assessments, 38, 100643. https://doi.org/10.1016/j.seta.2020.100643.
Huang, J., Huang, X., Song, N., Ma, Y., & Wei, D. (2022). Evaluation of the spatial suitability of offshore wind farms: A case study of the sea area of Liaoning Province. Sustainability, 14, 449. https://doi.org/10.3390/su14010449.
International Electrotechnical Commission (IEC). (2017). IEC 61400-12-1:2017—Wind energy generation systems, Part 12-1: Power performance measurements of electricity producing wind turbines. Geneva, Switzerland: IEC.
Ladenburg, J. (2008). Attitudes towards on-land and offshore wind power development in Denmark: Choice of development strategy. Renewable Energy, 33(1), 111–118. https://doi.org/10.1016/j.renene.2007.01.011.
Latinopoulos, S., & Kechagia, H. (2015). A GIS-based multi-criteria evaluation for wind farm site selection: A regional scale application in Greece. Renewable Energy, 78, 550–560. https://doi.org/10.1016/j.renene.2015.01.041.
Louassa, S., Daaou Nedjari, H., & Kheder-Haddouche, S. (2024). AHP optimization method for windy site in coastal Annaba region. Journal of Renewable Energies, 1, 209–214. https://doi.org/10.54966/jreen.v1i1.1262.
Maingueneau, B. (2016). Analyse multicritère pour l’implantation d’éoliennes aux Îles de la Madeleine (Master’s thesis). Département de géomatique appliquée, Université de Sherbrooke, Sherbrooke, QC, Canada. Analyse multicritère pour l’implantation d’éoliennes aux îles de la Madeleine [accessed 10 Février 2025].
Malczewski, R. (2006). GIS-based multicriteria decision analysis: A survey of the literature. International Journal of Geographical Information Science, 20(7), 703–726. https://doi.org/10.1080/13658810600661508.
Manwell, J. F., McGowan, J. G., & Rogers, A. L. (2010). Wind energy explained: Theory, design and application (2nd ed.). Hoboken, NJ: Wiley.
Mederreg, D., Salmi, M., Maouedj, R., Ameur, H., Lorenzini, G., & Menni, Y. (2021). Assessment of the resources of wind energy in various regions of Algeria. International Journal of Sustainable Development and Planning, 16, 641–650. https://doi.org/10.18280/ijsdp.160404.
Noorollahi, Y., Yousefi, H., & Mohammadi, M. (2016). Multi-criteria decision support system for wind farm site selection using GIS. Sustainable Energy Technologies and Assessments, 13, 38–50. https://doi.org/10.1016/j.seta.2015.11.007.
Ounis, H., & Aries, N. (2021). On the wind resource in Algeria: Probability distributions evaluation. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 235(5), 693–705. https://doi.org/10.1177/0957650920975883.
Ramachandra, T. V., & Shruthi, B. V. (2007). Spatial mapping of renewable energy potential. Renewable and Sustainable Energy Reviews, 11(8), 1460–1480. https://doi.org/10.1016/j.rser.2005.12.002.
Rehman, S., Baseer, M. A., & Alhems, L. M. (2020). GIS-based multi-criteria wind farm site selection methodology. Energy Reports, 6, 248–260. https://doi.org/10.5937/fme2004855R.
Saaty, T. L. (1980). The analytic hierarchy process: Planning, priority setting, resource allocation. New York, NY: McGraw-Hill.
Saaty, T. L. (1994). Fundamentals of decision making and priority theory with the analytic hierarchy process. Pittsburgh, PA: RWS Publications.
Sahin, G., Koc, A., Dogan, S. S., & van Sark, W. (2024). Assessment of wind energy potential and optimal site selection for wind energy plant installations in Igdir, Turkey. Sustainability, 16, 8775. https://doi.org/10.3390/su16208775.
Sanchez-Lozano, J. M., Teruel-Solano, J., Soto-Elvira, P. L., & Garcia-Cascales, M. S. (2013). Geographical information systems (GIS) and multi-criteria decision-making (MCDM) methods for the evaluation of solar farm locations: Case study in south-eastern Spain. Renewable and Sustainable Energy Reviews, 24, 544–556. https://doi.org/10.1016/j.rser.2013.03.019.
Schaffarczyk, P. (2014). Introduction to wind turbine aerodynamics. Berlin/Heidelberg, Germany: Springer.
Szurek, M., Blachowski, J., & Nowacka, A. (2014). GIS-based method for wind farm location multi-criteria analysis. Mineralia Slovaca, 46(2–3), 149–156. https://doi.org/10.5277/ms142106.
Tarife, R., et al. (2023). Integrated GIS and Fuzzy-AHP framework for suitability analysis of hybrid renewable energy systems: A case in Southern Philippines. Sustainability, 15(3), 2372. https://doi.org/10.3390/su15032372.
Tegou, M., Polatidis, H., & Haralambopoulos, D. (2010). Environmental management framework for wind farm siting: Methodology and case study. Journal of Environmental Management, 91, 2134–2147. https://doi.org/10.1016/j.jenvman.2010.05.010.
Van Laarhoven, P. J. M., & Pedrycz, W. (1983). A fuzzy extension of Saaty’s priority theory. Fuzzy Sets and Systems, 11(1–3), 229–241. https://doi.org/10.1016/S0165-0114(83)80082-7.
Wolsink, M. (2007). Planning of renewables schemes: Deliberative and fair decision-making on landscape issues instead of reproachful accusations of non-cooperation. Energy Policy, 35(5), 2692–2704. https://doi.org/10.1016/j.enpol.2006.12.002.
Yaman, A. (2024). A GIS-based multi-criteria decision-making approach (GIS-MCDM) for determination of the most appropriate site selection of onshore wind farm in Adana, Turkey. Clean Technologies and Environmental Policy, 26, 4231–4254. https://doi.org/10.1007/s10098-024-02866-3.
Zalhaf, A. S., Elboshy, B., Kotb, K. M., Han, Y., Almaliki, A. H., Aly, R. M. H., & Elkadeem, M. R. (2022). A high-resolution wind farms suitability mapping using GIS and fuzzy AHP approach: A national-level case study in Sudan. Sustainability, 14(1), 358. https://doi.org/10.3390/su14010358.
Zeggagh, A., & Ziane, Y. (2025). Impact of regulatory frameworks on renewable energy deployment in Algeria: Lessons from international experiences. Algerian Review of Security and Development, 14, 1–16. https://asjp.cerist.dz/en/article/261713.
Zolfani, S. H., & Saparauskas, J. (2012). New application of SWARA method in prioritizing sustainability assessment indicators of energy systems. Engineering Economics, 23, 408–414. https://doi.org/10.5755/j01.ee.24.5.4526.
Web sites
Algerian Government. (2022). National Energy Transition Strategy by 2035. Algerian Government, Algiers, Algeria. https://www.premier-ministre.gov.dz/fr/post/transition-energetique-en-algerie-defis-et-perspectives.
European Commission. (2011). EU guidance on wind energy development and Natura 2000. Brussels, Belgium: European Union. Retrieved from https://ec.europa.eu/environment/nature/natura2000/management/docs/wind_farms.pdf.
Geofabrik GmbH. (2025). Algeria [Data set]. OpenStreetMap Data Extracts. https://download.geofabrik.de/africa/algeria.html.
IEA. (2024). Renewables 2024: Analysis and Forecast to 2030. IEA Publications, International Energy Agency, www.iea.org.
International Civil Aviation Organization (ICAO). (2022). Annex 14 to the Convention on International Civil Aviation: Aerodromes, Volume I — Aerodrome Design and Operations (9th ed.). https://caa.gov.kz/storage/app/media/updated%20apps%20for%20ICAO%20Convention/AN14_v1_Aerodrome%20Design%20and%20Operations%202022%20ed.pdf.
IRENA. (2023). Renewable energy statistics 2023. International Renewable Energy Agency, Abu Dhabi. www.irena.org/Publications.
Ministry of Energy and Mines. (2023). National program for the development of renewable energy and energy efficiency (PNEREE). https://www.energy.gov.dz.
NASA GMAO. (2020). MERRA-2: Global Atmospheric Reanalysis. NASA Global Modeling and Assimilation Office. Retrieved from https://gmao.gsfc.nasa.gov/reanalysis/MERRA-2/.
QGIS Development Team. (2025). QGIS Geographic Information System (Version 3.44) [Software]. QGIS Association. https://www.qgis.org.
UNFCCC. (2015). Algeria's nationally determined contribution. Conference of the Parties (COP21), Paris, France, December 12, 2015. Available at: https://unfccc.int/sites/default/files/NDC/2022-06/Algeria%20-%20INDC%20%28English%20unofficial%20translation%29%20September%2003%2C2015.pdf.