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Social Dimensions of Offshore Wind Energy: a Review of Theories and Frameworks of Multi-criteria Decision-Making

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Abstract

Purpose of Review

Offshore wind power has rapidly grown globally, and multi-criteria decision-making (MCDM) is increasingly used for site selection. However, there is a lack of research papers focusing on the specific region being studied and reviewed. This paper investigates evaluation criteria and social aspects in offshore wind power projects using MCDM papers.

Recent Findings

Results show that Europe and other regions use exclusion criteria based on location and distance, while the Asia–Pacific region emphasizes government support and social items due to recent project introductions. In the Asia–Pacific region, negative social impacts are evaluated to minimize them, while the European region considers both negative and positive impacts.

Summary

Evaluating these aspects can uncover new possibilities for selecting sea areas and promoting offshore wind power while reducing negative impacts and creating positive ones.

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Data Availability

The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

  1. World forum offshorewind. Global Offshore Wind Report 2022. 2023: https://wfo-global.org/wp-content/uploads/2023/03/WFO_Global-Offshore-Wind-Report-2022.pdf. Accessed 01 June 2023

  2. Sun X, Huang D, Wu G. The current state of offshore wind energy technology development. Energy. 2012. https://doi.org/10.1016/j.energy.2012.02.054

  3. Bilgili M, Yasar A, Simsek E. Offshore wind power development in Europe and its comparison with onshore counterpart. Renew Sustain. Energy Rev. 2011. https://doi.org/10.1016/j.rser.2010.11.006

  4. Wu Y, Zhang J, Yuan J, Geng S, Zhang H. Study of decision framework of offshore wind power station site selection based on ELECTRE-III under intuitionistic fuzzy environment: a case of China. Energy Conversion and Management. 2016. https://doi.org/10.1016/j.enconman.2016.01.020

  5. • Singh M, Pant M. A review of selected weighing methods in MCDM with a case study. Int J Syst Assur Eng Manag. 2020. https://doi.org/10.1007/s13198-020-01033-3. Different expert groups were asked to weight the results and those results were compared.

  6. •• Abramic A, Mendoza AG, Haroun, R. Introducing offshore wind energy in the sea space: Canary Islands case study developed under maritime spatial planning principles. Renew Sustain Energy Rev 2021. https://doi.org/10.1016/j.rser.2021.111119. Because of the groundbreaking efforts to incorporate positive as well as negative impacts in the selection of ocean areas for offshore wind power generation projects.

  7. Emeksiz C, Demirci B. The determination of offshore wind energy potential of Turkey by using novelty hybrid site selection method. Sustain Energy Technol Assess. 2019. https://doi.org/10.1016/j.seta.2019.100562

  8. Tercan E, Tapkin S, Latinopoulos D, Dereli MA, Tsiropoulos A, Faith M. A GIS-based multi-criteria model for offshore wind energy power plants site selection in both sides of the Aegean Sea. Environ Monit Assess 2020. https://doi.org/10.1007/s10661-020-08603-9

  9. Deveci M, Cali U,Kucuksari S, Erdogan N. Interval type-2 fuzzy sets based multi-criteria decision-making model for offshore wind farm development in Ireland. Energy. 2020. https://doi.org/10.1016/j.energy.2020.117317

  10. Genc MS, Karipoglu F, Koca K, Azgin ST. Suitable site selection for offshore wind farms in Turkey’s seas: GIS-MCDM based approach. Earth Sci Inform. 2021. https://doi.org/10.1007/s12145-021-00632-3

  11. Diaz H, Loughney S, Wang J, Soares CG. Comparison of multicriteria analysis techniques for decision making on floating offshore wind farms site selection. Ocean Eng. 2022. https://doi.org/10.1016/j.oceaneng.2022.110751

  12. Diaz H, Teixeira AP, Soares CG. Application of Monte Carlo and Fuzzy analytic hierarchy processes for ranking floating wind farm locations. Ocean Eng. 2022. https://doi.org/10.1016/j.oceaneng.2021.110453

  13. Wang CN, Nguyen N, Dang TT. Offshore wind power station (OWPS) site selection using a two-stage MCDM-based spherical fuzzy set approach. Sci Rep. 2022. https://doi.org/10.1038/s41598-022-08257-2

  14. Lo HW, Hsu CC, Chen BC, Liou JJH. Building a grey-based multi-criteria decision-making model for offshore wind farm site selection. Sustain Energy Technol Assess. 2021. https://doi.org/10.1016/j.seta.2020.100935

  15. Yu Y, Wu S, Yu J, Chen H, Zeng Q, Xu Y, Ding H. An integrated MCDM framework based on interval 2-tuple linguistic: a case of offshore wind farm site selection in China. Process Safety Environ Protect. 2022. https://doi.org/10.1016/j.psep.2022.06.041

  16. Zhou Q, Ye C, Geng X. A hybrid probabilistic linguistic term set decision-making evaluation method and its application in the site selection of offshore wind power station. Ocean Eng. 2022. https://doi.org/10.1016/j.oceaneng.2022.112959

  17. Salvador CB, Arzaghi E, Yazdi M, Jahromi H, Abbassi R. A multi-criteria decision-making framework for site selection of offshore wind farms in Australia. Ocean Coast Manag. 2022. https://doi.org/10.1016/j.ocecoaman.2022.106196

  18. Shahabaddin S, Dehshiri H. New hybrid multi criteria decision making method for offshore windfarm site location in Persian Gulf, Iran. Ocean Eng. 2022. https://doi.org/10.1016/j.oceaneng.2022.111498

  19. Govindan K. Pathways to low carbon energy transition through multi criteria assessment of offshore wind energy barriers. Technol Forecast Social Change. 2023.

  20. Diaz H, Guedes Soares C. A novel multi-criteria decision-making model to evaluate floating wind farm locations. Renew Energy. 2022. https://doi.org/10.1016/j.renene.2021.12.014

  21. Wu Y, Tao Y, Zhang B, Wang S, Xu C, Zhou J. A decision framework of offshore wind power station site selection using a PROMETHEE method under intuitionistic fuzzy environment: a case in China. Ocean Coast Manag. 2020. https://doi.org/10.1016/j.ocecoaman.2019.105016

  22. Abdel-Basset M, Gamal A, Chakrabortty RK, Ryan M. A new hybrid multi-criteria decision-making approach for location selection of sustainable offshore wind energy stations: a case study. J. Clean Product. 2021. https://doi.org/10.1016/j.jclepro.2020.124462

  23. Deveci M, Erdogan N, Cali U, Stekli J, Zhong S. Type-2 neutrosophic number based multi-attributive border approximation area comparison (MABAC) approach for offshore wind farm site selection in USA. Eng Appl Artif Intell. 2021. https://doi.org/10.1016/j.engappai.2021.104311

  24. Sanchez-Lozano JM, Ramos-Escudero A, Gil-Garcia IC, Garcia-Cascales MS, Molina-Garcia A. A GIS-based offshore wind site selection model using fuzzy multi-criteria decision-making with application to the case of the Gulf of Maine. Exp Syst Appl. 2022. https://doi.org/10.1016/j.eswa.2022.118371

  25. Pedersen E, van den Berg F, Bakker R Bouma, J. Response to noise from modern wind farms in The Netherlands. J Acoust Soc Am. 2009. https://doi.org/10.1121/1.3160293

  26. Hammami SM, Chtourou S, Triki A. Identifying the determinants of community acceptance of renewable energy technologies: the case study of a wind energy project from Tunisia. Renew Sustain Energy Rev. 2016. https://doi.org/10.1016/j.rser.2015.09.037

  27. Diaz P, van Vliet O. Drivers and risks for renewable energy developments in mountain regions: a case of a pilot photovoltaic project in the Swiss Alps. Energy Sustain Soc. 2018. https://doi.org/10.1186/s13705-018-0168-x

  28. Chodkowska-Miszczuk J, Martinat S, Kulla M, Novotny L. Renewables projects in peripheries: determinants, challenges and perspectives of biogas plants - insights from Central European countries. Regional Studies Regional Sci. 2020. https://doi.org/10.1080/21681376.2020.1807399

  29. Soma K, Haggett C. Enhancing social acceptance in marine governance in Europe. Ocean Coast Manag. 2020. https://doi.org/10.1016/j.ocecoaman.2015.11.001

  30. Knievel M. ‘... Darn thing just kind of fell together by itself after a while’: exploring the role of official and tactical communication in siting a rural wind farm. Open Library Humanities. 2019. https://doi.org/10.16995/olh.

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  1. Toho University, 2-2-1, Miyama, Funabashi-Shi, Chiba, 274-8510, Japan

    Ayano Takeuchi

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  1. Ayano Takeuchi
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Correspondence to Ayano Takeuchi.

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Takeuchi, A. Social Dimensions of Offshore Wind Energy: a Review of Theories and Frameworks of Multi-criteria Decision-Making. Curr Sustainable Renewable Energy Rep 10, 243–249 (2023). https://doi.org/10.1007/s40518-023-00225-2

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