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Enhancing wind turbine site selection through a novel wake penalty criterion

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  • Dinçer, A.Ersin
  • Demir, A.
  • Yılmaz, K.

Abstract

In this study, a novel approach that incorporates the wake effect as a penalty criterion within the Analytical Hierarchy Process (AHP) method is proposed. The research introduces the wake penalty criterion for the first time, considering both existing and newly located turbines. The results demonstrate the impact of the wake effect and identify areas with varying wake penalties. A comprehensive suitability analysis is conducted using AHP and Geographic Information System (GIS) techniques, resulting in a suitability map for wind turbine site selection. The analysis considers seven criteria, including the novel wake penalty criterion. The suitability map reveals a distribution of suitability ranges, with 73.8% of the total area excluded due to various constraints. Additionally, a comparative analysis is performed by excluding the wake penalty criterion, highlighting the contrasting effects of wake on turbine placement. Case studies in the Karaburun and Çeşme regions of İzmir further illustrate the influence of wake on turbine clusters and their alignment with prevailing wind directions. The findings indicate that the inclusion of wake effects provides a more precise and realistic depiction of viable wind turbine site selection. This is evident in the reduction of 55.5% and 18.6% in the most suitable region (80–100% suitability) and highly suitable region (60–80% suitability), respectively.

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  • Dinçer, A.Ersin & Demir, A. & Yılmaz, K., 2023. "Enhancing wind turbine site selection through a novel wake penalty criterion," Energy, Elsevier, vol. 283(C).
    • Handle: RePEc:eee:energy:v:283:y:2023:i:c:s0360544223024908
    DOI: 10.1016/j.energy.2023.129096
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    as
    1. Konstantinos, Ioannou & Georgios, Tsantopoulos & Garyfalos, Arabatzis, 2019. "A Decision Support System methodology for selecting wind farm installation locations using AHP and TOPSIS: Case study in Eastern Macedonia and Thrace region, Greece," Energy Policy, Elsevier, vol. 132(C), pages 232-246.
    2. Emami, Alireza & Noghreh, Pirooz, 2010. "New approach on optimization in placement of wind turbines within wind farm by genetic algorithms," Renewable Energy, Elsevier, vol. 35(7), pages 1559-1564.
    3. Vinhoza, Amanda & Schaeffer, Roberto, 2021. "Brazil's offshore wind energy potential assessment based on a Spatial Multi-Criteria Decision Analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    4. Kaldellis, John K. & Zafirakis, D., 2011. "The wind energy (r)evolution: A short review of a long history," Renewable Energy, Elsevier, vol. 36(7), pages 1887-1901.
    5. Marmidis, Grigorios & Lazarou, Stavros & Pyrgioti, Eleftheria, 2008. "Optimal placement of wind turbines in a wind park using Monte Carlo simulation," Renewable Energy, Elsevier, vol. 33(7), pages 1455-1460.
    6. 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.
    7. Cyril Anak John & Lian See Tan & Jully Tan & Peck Loo Kiew & Azmi Mohd Shariff & Hairul Nazirah Abdul Halim, 2021. "Selection of Renewable Energy in Rural Area Via Life Cycle Assessment-Analytical Hierarchy Process (LCA-AHP): A Case Study of Tatau, Sarawak," Sustainability, MDPI, vol. 13(21), pages 1-18, October.
    8. Hugo Díaz & Carlos Guedes Soares, 2021. "A Multi-Criteria Approach to Evaluate Floating Offshore Wind Farms Siting in the Canary Islands (Spain)," Energies, MDPI, vol. 14(4), pages 1-18, February.
    9. Yılmaz, Kutay & Dinçer, Ali Ersin & Ayhan, Elif N., 2023. "Exploring flood and erosion risk indices for optimal solar PV site selection and assessing the influence of topographic resolution," Renewable Energy, Elsevier, vol. 216(C).
    10. 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.
    11. Rios, R. & Duarte, S., 2021. "Selection of ideal sites for the development of large-scale solar photovoltaic projects through Analytical Hierarchical Process – Geographic information systems (AHP-GIS) in Peru," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    12. Govindan, Kannan & Jepsen, Martin Brandt, 2016. "ELECTRE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 250(1), pages 1-29.
    13. 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.
    14. Yamani Douzi Sorkhabi, Sami & Romero, David A. & Yan, Gary Kai & Gu, Michelle Dao & Moran, Joaquin & Morgenroth, Michael & Amon, Cristina H., 2016. "The impact of land use constraints in multi-objective energy-noise wind farm layout optimization," Renewable Energy, Elsevier, vol. 85(C), pages 359-370.
    15. Raza, Muhammad Ali & Yousif, Muhammad & Hassan, Muhammad & Numan, Muhammad & Abbas Kazmi, Syed Ali, 2023. "Site suitability for solar and wind energy in developing countries using combination of GIS- AHP; a case study of Pakistan," Renewable Energy, Elsevier, vol. 206(C), pages 180-191.
    16. Gao, Xiaoxia & Yang, Hongxing & Lu, Lin, 2016. "Optimization of wind turbine layout position in a wind farm using a newly-developed two-dimensional wake model," Applied Energy, Elsevier, vol. 174(C), pages 192-200.
    17. Park, Jinkyoo & Law, Kincho H., 2015. "Layout optimization for maximizing wind farm power production using sequential convex programming," Applied Energy, Elsevier, vol. 151(C), pages 320-334.
    18. Giamalaki, Marina & Tsoutsos, Theocharis, 2019. "Sustainable siting of solar power installations in Mediterranean using a GIS/AHP approach," Renewable Energy, Elsevier, vol. 141(C), pages 64-75.
    19. 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.
    20. 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.
    21. González, Javier Serrano & Gonzalez Rodriguez, Angel G. & Mora, José Castro & Santos, Jesús Riquelme & Payan, Manuel Burgos, 2010. "Optimization of wind farm turbines layout using an evolutive algorithm," Renewable Energy, Elsevier, vol. 35(8), pages 1671-1681.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. Jangid, Jayant & Bera, Apurba Kumar & Joseph, Manoj & Singh, Vishal & Singh, T.P. & Pradhan, B.K. & Das, Sandipan, 2016. "Potential zones identification for harvesting wind energy resources in desert region of India – A multi criteria evaluation approach using remote sensing and GIS," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1-10.
    27. Hou, Peng & Hu, Weihao & Soltani, Mohsen & Chen, Cong & Chen, Zhe, 2017. "Combined optimization for offshore wind turbine micro siting," Applied Energy, Elsevier, vol. 189(C), pages 271-282.
    28. Grady, S.A. & Hussaini, M.Y. & Abdullah, M.M., 2005. "Placement of wind turbines using genetic algorithms," Renewable Energy, Elsevier, vol. 30(2), pages 259-270.
    29. Asadi, Meysam & Ramezanzade, Mohsen & Pourhossein, Kazem, 2023. "A global evaluation model applied to wind power plant site selection," Applied Energy, Elsevier, vol. 336(C).
    30. Kusiak, Andrew & Song, Zhe, 2010. "Design of wind farm layout for maximum wind energy capture," Renewable Energy, Elsevier, vol. 35(3), pages 685-694.
    31. 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.
    32. Behzadian, Majid & Kazemzadeh, R.B. & Albadvi, A. & Aghdasi, M., 2010. "PROMETHEE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 200(1), pages 198-215, January.
    33. Parada, Leandro & Herrera, Carlos & Flores, Paulo & Parada, Victor, 2017. "Wind farm layout optimization using a Gaussian-based wake model," Renewable Energy, Elsevier, vol. 107(C), pages 531-541.
    34. Dimitra G. Vagiona & Manos Kamilakis, 2018. "Sustainable Site Selection for Offshore Wind Farms in the South Aegean—Greece," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    35. Song, Zhe & Zhang, Zijun & Chen, Xingying, 2016. "The decision model of 3-dimensional wind farm layout design," Renewable Energy, Elsevier, vol. 85(C), pages 248-258.
    36. Gorsevski, Pece V. & Cathcart, Steven C. & Mirzaei, Golrokh & Jamali, Mohsin M. & Ye, Xinyue & Gomezdelcampo, Enrique, 2013. "A group-based spatial decision support system for wind farm site selection in Northwest Ohio," Energy Policy, Elsevier, vol. 55(C), pages 374-385.
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