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Fuzzy GIS-based MCDM solution for the optimal offshore wind site selection: The Gulf of Maine case

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  • Gil-García, Isabel C.
  • Ramos-Escudero, Adela
  • García-Cascales, M.S.
  • Dagher, Habib
  • Molina-García, A.

Abstract

This paper describes a multi-criterion decision-making approach for optimal off-shore wind location assessment by including fuzzy geographical information systems to prioritize the different locations and alternatives. The multi-objective framework involves a variety of elements, such as climatic, geographic, social, environmental, location, and economic factors. The proposed decision-making solution is based on a multicriteria evaluation method divided into two steps: an analytic hierarchy process and a prioritization of the alternatives in comparison to a parallel approach based on a fuzzy geographical information system solution. The Gulf of Maine (USA) is considered as a case example, owing to the relevant offshore wind potential of such an area. A descriptive statistical evaluation of the wind resource was previously carried out to characterize this area with wind speed field measurements for 10 years (2010–2019). A design proposal for a 1 GW offshore wind power plant is used in a case study based on a 15 MW variable speed wind turbine prototype recently proposed by the IEA Wind Task 37. The results include prioritization of optimal offshore wind power plant sites, levelized cost of electricity estimation, and avoided emissions in comparison to traditional supply side scenarios, mainly based on fossil fuel generation units.

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  • Gil-García, Isabel C. & Ramos-Escudero, Adela & García-Cascales, M.S. & Dagher, Habib & Molina-García, A., 2022. "Fuzzy GIS-based MCDM solution for the optimal offshore wind site selection: The Gulf of Maine case," Renewable Energy, Elsevier, vol. 183(C), pages 130-147.
    • Handle: RePEc:eee:renene:v:183:y:2022:i:c:p:130-147
    DOI: 10.1016/j.renene.2021.10.058
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    as
    1. Aguaron, Juan & Moreno-Jimenez, Jose Maria, 2003. "The geometric consistency index: Approximated thresholds," European Journal of Operational Research, Elsevier, vol. 147(1), pages 137-145, May.
    2. Cradden, L. & Kalogeri, C. & Barrios, I. Martinez & Galanis, G. & Ingram, D. & Kallos, G., 2016. "Multi-criteria site selection for offshore renewable energy platforms," Renewable Energy, Elsevier, vol. 87(P1), pages 791-806.
    3. Gao, Xiaoxia & Yang, Hongxing & Lu, Lin, 2014. "Study on offshore wind power potential and wind farm optimization in Hong Kong," Applied Energy, Elsevier, vol. 130(C), pages 519-531.
    4. Deveci, Muhammet & Cali, Umit & Kucuksari, Sadik & Erdogan, Nuh, 2020. "Interval type-2 fuzzy sets based multi-criteria decision-making model for offshore wind farm development in Ireland," Energy, Elsevier, vol. 198(C).
    5. Kim, Ji-Young & Oh, Ki-Yong & Kang, Keum-Seok & Lee, Jun-Shin, 2013. "Site selection of offshore wind farms around the Korean Peninsula through economic evaluation," Renewable Energy, Elsevier, vol. 54(C), pages 189-195.
    6. Sánchez-Lozano, Juan M. & Teruel-Solano, Jerónimo & Soto-Elvira, Pedro L. & Socorro García-Cascales, M., 2013. "Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) methods for the evaluation of solar farms locations: Case study in south-eastern Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 544-556.
    7. Jongbloed, R.H. & van der Wal, J.T. & Lindeboom, H.J., 2014. "Identifying space for offshore wind energy in the North Sea. Consequences of scenario calculations for interactions with other marine uses," Energy Policy, Elsevier, vol. 68(C), pages 320-333.
    8. Sheridan, Blaise & Baker, Scott D. & Pearre, Nathaniel S. & Firestone, Jeremy & Kempton, Willett, 2012. "Calculating the offshore wind power resource: Robust assessment methods applied to the U.S. Atlantic Coast," Renewable Energy, Elsevier, vol. 43(C), pages 224-233.
    9. Waewsak, Jompob & Landry, Mathieu & Gagnon, Yves, 2015. "Offshore wind power potential of the Gulf of Thailand," Renewable Energy, Elsevier, vol. 81(C), pages 609-626.
    10. Bahaj, AbuBakr S. & Mahdy, Mostafa & Alghamdi, Abdulsalam S. & Richards, David J., 2020. "New approach to determine the Importance Index for developing offshore wind energy potential sites: Supported by UK and Arabian Peninsula case studies," Renewable Energy, Elsevier, vol. 152(C), pages 441-457.
    11. Kim, Taeyun & Park, Jeong-Il & Maeng, Junho, 2016. "Offshore wind farm site selection study around Jeju Island, South Korea," Renewable Energy, Elsevier, vol. 94(C), pages 619-628.
    12. Nyimbili, Penjani Hopkins & Erden, Turan, 2020. "GIS-based fuzzy multi-criteria approach for optimal site selection of fire stations in Istanbul, Turkey," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    13. Mekonnen, Addisu D. & Gorsevski, Pece V., 2015. "A web-based participatory GIS (PGIS) for offshore wind farm suitability within Lake Erie, Ohio," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 162-177.
    14. Hong, Lixuan & Möller, Bernd, 2011. "Offshore wind energy potential in China: Under technical, spatial and economic constraints," Energy, Elsevier, vol. 36(7), pages 4482-4491.
    15. Schillings, Christoph & Wanderer, Thomas & Cameron, Lachlan & van der Wal, Jan Tjalling & Jacquemin, Jerome & Veum, Karina, 2012. "A decision support system for assessing offshore wind energy potential in the North Sea," Energy Policy, Elsevier, vol. 49(C), pages 541-551.
    16. Punt, Maarten J. & Groeneveld, Rolf A. & van Ierland, Ekko C. & Stel, Jan H., 2009. "Spatial planning of offshore wind farms: A windfall to marine environmental protection?," Ecological Economics, Elsevier, vol. 69(1), pages 93-103, November.
    17. Draxl, Caroline & Clifton, Andrew & Hodge, Bri-Mathias & McCaa, Jim, 2015. "The Wind Integration National Dataset (WIND) Toolkit," Applied Energy, Elsevier, vol. 151(C), pages 355-366.
    18. Schallenberg-Rodríguez, Julieta & García Montesdeoca, Nuria, 2018. "Spatial planning to estimate the offshore wind energy potential in coastal regions and islands. Practical case: The Canary Islands," Energy, Elsevier, vol. 143(C), pages 91-103.
    19. Cavazzi, S. & Dutton, A.G., 2016. "An Offshore Wind Energy Geographic Information System (OWE-GIS) for assessment of the UK's offshore wind energy potential," Renewable Energy, Elsevier, vol. 87(P1), pages 212-228.
    20. Satir, Mert & Murphy, Fionnuala & McDonnell, Kevin, 2018. "Feasibility study of an offshore wind farm in the Aegean Sea, Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2552-2562.
    21. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    22. James, Eric P. & Benjamin, Stanley G. & Marquis, Melinda, 2017. "A unified high-resolution wind and solar dataset from a rapidly updating numerical weather prediction model," Renewable Energy, Elsevier, vol. 102(PB), pages 390-405.
    23. Schweizer, Joerg & Antonini, Alessandro & Govoni, Laura & Gottardi, Guido & Archetti, Renata & Supino, Enrico & Berretta, Claudia & Casadei, Carlo & Ozzi, Claudia, 2016. "Investigating the potential and feasibility of an offshore wind farm in the Northern Adriatic Sea," Applied Energy, Elsevier, vol. 177(C), pages 449-463.
    24. 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.
    25. Nagababu, Garlapati & Kachhwaha, Surendra Singh & Savsani, Vimal, 2017. "Estimation of technical and economic potential of offshore wind along the coast of India," Energy, Elsevier, vol. 138(C), pages 79-91.
    26. Vasileiou, Margarita & Loukogeorgaki, Eva & Vagiona, Dimitra G., 2017. "GIS-based multi-criteria decision analysis for site selection of hybrid offshore wind and wave energy systems in Greece," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 745-757.
    27. Yue, Cheng-Dar & Yang, Min-How, 2009. "Exploring the potential of wind energy for a coastal state," Energy Policy, Elsevier, vol. 37(10), pages 3925-3940, October.
    28. Nie, Bingchuan & Li, Jiachun, 2018. "Technical potential assessment of offshore wind energy over shallow continent shelf along China coast," Renewable Energy, Elsevier, vol. 128(PA), pages 391-399.
    29. Mahdy, Mostafa & Bahaj, AbuBakr S., 2018. "Multi criteria decision analysis for offshore wind energy potential in Egypt," Renewable Energy, Elsevier, vol. 118(C), pages 278-289.
    30. Erbaş, Mehmet & Kabak, Mehmet & Özceylan, Eren & Çetinkaya, Cihan, 2018. "Optimal siting of electric vehicle charging stations: A GIS-based fuzzy Multi-Criteria Decision Analysis," Energy, Elsevier, vol. 163(C), pages 1017-1031.
    31. Chaouachi, Aymen & Covrig, Catalin Felix & Ardelean, Mircea, 2017. "Multi-criteria selection of offshore wind farms: Case study for the Baltic States," Energy Policy, Elsevier, vol. 103(C), pages 179-192.
    32. deCastro, M. & Salvador, S. & Gómez-Gesteira, M. & Costoya, X. & Carvalho, D. & Sanz-Larruga, F.J. & Gimeno, L., 2019. "Europe, China and the United States: Three different approaches to the development of offshore wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 55-70.
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