10.1007/s40095-021-00421-0

A model proposal for selecting the installation location of offshore wind energy turbines

  • Mehmet Kabak*1,
  • Sinem Akalın1,
  1. Department of Industrial Engineering, Gazi University, Ankara, 06570, TR

Published in Issue 2021-08-30

How to Cite

Kabak, M., & Akalın, S. (2021). A model proposal for selecting the installation location of offshore wind energy turbines. International Journal of Energy and Environmental Engineering, 13(1 (March 2022). https://doi.org/10.1007/s40095-021-00421-0
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Abstract

Abstract Renewable energy has an important role in every country as it meets the energy needs of countries with natural resources by reducing their external dependency, increasing their sustainable energy orientation and minimizing the environmental damage caused by energy consumption. Turkey is approximately 72% dependent on foreign energy and has turned to renewable energy sources to reduce this rate since 2009. In 2019, it supplied 46% of its energy needs from renewable sources. It aims to increase the share of resources in total electricity generation up to 65% in 2023 and continues its investments in this regard. In the study, a decision model using the Geographic Information System (GIS) and Fuzzy Analytical Hierarchy Process (FAHP) is proposed to expose Turkey's current renewable energy potential and to determine the regions where wind power plants can be established in the Aegean Sea. In the proposed algorithm, criteria were determined in the Aegean Sea Çanakkale Region, in order to determine the regions where the wind energy turbines would be located, and priority values were determined with FAHP. Priorities with the determined vector data format were combined into one layer by combining them in GIS software ArcGIS. The examined region was divided into three categories (the most appropriate, appropriate, and not suitable) and sensitivity analysis was carried out.

Keywords

  • Renewable energy,
  • Wind,
  • Multi-criteria decision-making,
  • Geographic information system (GIS),
  • Fuzzy analytical hierarchy process (FAHP)

References

  1. National Wind Watch:
  2. https://www.wind-watch.org/faq-technology.php
  3. (2020). Accessed 12 Apr 2020
  4. Durak, M., Özer, S., (2007).
  5. Wind energy: Theory and practice
  6. (First Edition) (2020)
  7. Energy Atlas:
  8. https://www.enerjiatlasi.com/ulkelere-gore-ruzgar-enerjisi.html
  9. (2019). Accessed 15 Mar 2020
  10. https://www.statista.com/statistics/421847/wind-power-capacity-in-turkey/
  11. (2020). Accessed 10 June 2021
  12. Khan et al. (2021) Analytical review on common and state-of-the-art FR strategies for VSC-MTDC integrated offshore wind power plants https://doi.org/10.1016/j.rser.2021.111106
  13. GWEC, Global Wind Energy Council:
  14. https://gwec.net/gwec-over-60gw-of-wind-energy-capacity-installed-in-2019-the-second-biggest-year-in-history/
  15. (2019). Accessed 30 Mar 2020
  16. Houda, Z., Sayed, A.E., Poyrazoglu, G. (2021)
  17. Multi-criteria Decision Model for the Assessment of Offshore Wind Energy Potential of Tunisia. 2
  18. Sixteenth International Conference on Ecological Vehicles and Renewable Energies (EVER). IEEE.
  19. Eroğlu, H. (2021) Multi-criteria decision analysis for wind power plant location selection based on fuzzy AHP and geographic information systems. Environment, Development and Sustainability, 1–33
  20. Vagiona and Karanikolas (2012) A multicriteria approach to evaluate offshore wind farms siting in Greece 14(2) (pp. 235-243)
  21. Aydın, Y. (2013)
  22. Wind power plant site selection using Fuzzy Topsis and Vikor method.
  23. Master Thesis, Yıldız Technical University, Institute of Science, İstanbul
  24. Eroğlu, H. (2014)
  25. Using geographical information systems (GIS) and fuzzy analytical hierarchy method (BAHP) to determine the most suitable location for wind farms.
  26. Eleco Electric - Electronics - Computer and Biomedical Engineering Symposium, Bursa
  27. Abdolvahhab and Khorasaninejad (2015) A novel hybrid MCDM approach for offshore wind farm site selection: A case study of Iran (pp. 17-28) https://doi.org/10.1016/j.ocecoaman.2015.02.005
  28. Cradden et al. (2015) Multi-criteria site selection for offshore renewable energy platforms (pp. 791-806) https://doi.org/10.1016/j.renene.2015.10.035
  29. Yunna et al. (2015) Study of decision framework of offshore wind power station site selection based on ELECTRE-III under intuitionistic fuzzy environment: A case of China (pp. 66-81)
  30. Zadeh (1965) Similarity relations and fuzzy orderings 3(2) (pp. 338-353)
  31. Turksen (1986) Interval valued fuzzy sets based on normal forms 20(2) (pp. 191-210) https://doi.org/10.1016/0165-0114(86)90077-1
  32. Zimmermann (1990) (pp. 35-85) Kluwer Academic Publishers
  33. Timor, M.:
  34. Analytical hierarchy process
  35. . İstanbul: Turkmen Bookstore, 18 (2011)
  36. Timor (2002) Easy to select retail status location for products: An analytical hierarchy process implementation 3(41) (pp. 23-36)
  37. Saaty (1980) Mcgraw-Hill International Book Company
  38. Saaty (1990) How to Make a Decision: The Analytic Hierarchy Process (pp. 9-26) https://doi.org/10.1016/0377-2217(90)90057-I
  39. Özgörmüş, E., Mutlu, Ö., Güner, H. (2005)
  40. Personnel selection with fuzzy AHP
  41. . Presented at the 5th National Production Research Symposium, İstanbul
  42. Van Laarhoven and Pedrycz (1983) A fuzzy extension of Saaty’s priority theory (pp. 229-241) https://doi.org/10.1016/S0165-0114(83)80082-7
  43. Göksu and Güngör (2008) Fuzzy analytical hierarchy process and its application in university preference ranking Süleyman Demirel University (pp. 1-26)
  44. Önüt et al. (2009) Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company (pp. 3887-3895) https://doi.org/10.1016/j.eswa.2008.02.045
  45. Akalın, S. (2018)
  46. A Model Proposal for the Installation Site Selection of Offshore Wind Energy Turbines
  47. . Master Thesis, Gazi University Institute of Science, Ankara
  48. Deng (1999) Multicriteria analysis with fuzzy pairwise comparison 21(3) (pp. 215-231) https://doi.org/10.1016/S0888-613X(99)00025-0
  49. Malkoç, Y. (2008)
  50. Turkey location of wind energy potential and our energy profile
  51. . Ankara: General Directorate of Electrical Works Survey Administration
  52. Demirdizen, H. G. (2013)
  53. Market development of renewable energy in Turkey.
  54. Master’s Thesis, The Graduate School of Natural and Applied Sciences, Middle East Technical University, Ankara, 19–21
  55. Malhotra, S. (2011)
  56. Selection, design and construction of offshore wind turbine foundations.
  57. D.I. Al-Bahadly (Ed.), Wind Turbines, pp. 248–262
  58. Tricoli, C., Barsanti, M., Delbono, I. (2006)
  59. Offshore wind farms along the Italian Coasts: A first selection of suitable areas based on wind and bathymetric data
  60. . Proceedings of the Offshore Wind Energy in Mediterranean and other European Seas, Italy
  61. Kotroni, V., Lagouvardos, K., Lykoudıs, S. (2013)
  62. High-resolution model-based wind atlas for Greece.
  63. Proceedings of the 13th International Conference on Environmental Science and Technology, Athens, Greece
  64. Hessels, Van Rooij. (2005)
  65. Reduction of ship collision risks for offshore wind farms.
  66. University of Denmark, Technical University of Delft: Maritime Research Institute, Netherlands, Institute Netherlands
  67. Rawson and Rogers (2015) Assessing the impacts to vessel traffic from offshore wind farms in the Thames Estuary 43(115) (pp. 99-107)
  68. Yılmaz, U. (2008) Electricity generation with renewable energy sources in Gökçeada
  69. .
  70. Unpublished Master's Thesis, Istanbul Technical University, Institute of Science, İstanbul
  71. Transmission Facility and Operation Group Directorate - Kayseri,
  72. https://www.teias.gov.tr/bolge/kayseri/iletisim
  73. (2001). Accessed 25 Apr 2020
  74. Coast to Coast Networks of Marine Protected Areas,
  75. https://cordis.europa.eu/project/id/287844/reporting
  76. (2016). Accessed 23 Apr 2020