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A Framework for the Selection of Optimum Offshore Wind Farm Locations for Deployment

Author

Listed:
  • Varvara Mytilinou

    (Renewable Energy Marine Structures Centre for Doctoral Training, Cranfield University, Cranfield, Bedfordshire MK43 0AL, UK)

  • Estivaliz Lozano-Minguez

    (Department of Mechanical Engineering and Materials—CIIM, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain)

  • Athanasios Kolios

    (Department of Naval Architecture, Ocean & Marine Engineering, University of Strathclyde, HD2.35, Henry Dyer Building, 100 Montrose Street, Glasgow G4 0LZ, UK)

Abstract

This research develops a framework to assist wind energy developers to select the optimum deployment site of a wind farm by considering the Round 3 available zones in the UK. The framework includes optimization techniques, decision-making methods and experts’ input in order to support investment decisions. Further, techno-economic evaluation, life cycle costing (LCC) and physical aspects for each location are considered along with experts’ opinions to provide deeper insight into the decision-making process. A process on the criteria selection is also presented and seven conflicting criteria are being considered for implementation in the technique for the order of preference by similarity to the ideal solution (TOPSIS) method in order to suggest the optimum location that was produced by the nondominated sorting genetic algorithm (NSGAII). For the given inputs, Seagreen Alpha, near the Isle of May, was found to be the most probable solution, followed by Moray Firth Eastern Development Area 1, near Wick, which demonstrates by example the effectiveness of the newly introduced framework that is also transferable and generic. The outcomes are expected to help stakeholders and decision makers to make better informed and cost-effective decisions under uncertainty when investing in offshore wind energy in the UK.

Suggested Citation

  • Varvara Mytilinou & Estivaliz Lozano-Minguez & Athanasios Kolios, 2018. "A Framework for the Selection of Optimum Offshore Wind Farm Locations for Deployment," Energies, MDPI, vol. 11(7), pages 1-23, July.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1855-:d:158191
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    References listed on IDEAS

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    1. Lozano-Minguez, E. & Kolios, A.J. & Brennan, F.P., 2011. "Multi-criteria assessment of offshore wind turbine support structures," Renewable Energy, Elsevier, vol. 36(11), pages 2831-2837.
    2. Salvatore Corrente & Michael Doumpos & Salvatore Greco & Roman Słowiński & Constantin Zopounidis, 2017. "Multiple criteria hierarchy process for sorting problems based on ordinal regression with additive value functions," Annals of Operations Research, Springer, vol. 251(1), pages 117-139, April.
    3. Athanasios Kolios & Varvara Mytilinou & Estivaliz Lozano-Minguez & Konstantinos Salonitis, 2016. "A Comparative Study of Multiple-Criteria Decision-Making Methods under Stochastic Inputs," Energies, MDPI, vol. 9(7), pages 1-21, July.
    4. Gentils, Theo & Wang, Lin & Kolios, Athanasios, 2017. "Integrated structural optimisation of offshore wind turbine support structures based on finite element analysis and genetic algorithm," Applied Energy, Elsevier, vol. 199(C), pages 187-204.
    5. Lin, Shin-Yeu & Chen, Jyun-Fu, 2013. "Distributed optimal power flow for smart grid transmission system with renewable energy sources," Energy, Elsevier, vol. 56(C), pages 184-192.
    6. Maria Martinez Luengo & Athanasios Kolios, 2015. "Failure Mode Identification and End of Life Scenarios of Offshore Wind Turbines: A Review," Energies, MDPI, vol. 8(8), pages 1-16, August.
    7. Dylan F. Jones & Graham Wall, 2016. "An extended goal programming model for site selection in the offshore wind farm sector," Annals of Operations Research, Springer, vol. 245(1), pages 121-135, October.
    8. Laura, Castro-Santos & Vicente, Diaz-Casas, 2014. "Life-cycle cost analysis of floating offshore wind farms," Renewable Energy, Elsevier, vol. 66(C), pages 41-48.
    9. Dicorato, M. & Forte, G. & Pisani, M. & Trovato, M., 2011. "Guidelines for assessment of investment cost for offshore wind generation," Renewable Energy, Elsevier, vol. 36(8), pages 2043-2051.
    10. Corrente, Salvatore & Figueira, José Rui & Greco, Salvatore & Słowiński, Roman, 2017. "A robust ranking method extending ELECTRE III to hierarchy of interacting criteria, imprecise weights and stochastic analysis," Omega, Elsevier, vol. 73(C), pages 1-17.
    11. Perera, A.T.D. & Attalage, R.A. & Perera, K.K.C.K. & Dassanayake, V.P.C., 2013. "A hybrid tool to combine multi-objective optimization and multi-criterion decision making in designing standalone hybrid energy systems," Applied Energy, Elsevier, vol. 107(C), pages 412-425.
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    2. Ziemba, Paweł, 2022. "Uncertain Multi-Criteria analysis of offshore wind farms projects investments – Case study of the Polish Economic Zone of the Baltic Sea," Applied Energy, Elsevier, vol. 309(C).
    3. Philip Mayer & Christopher Stephen Ball & Stefan Vögele & Wilhelm Kuckshinrichs & Dirk Rübbelke, 2019. "Analyzing Brexit: Implications for the Electricity System of Great Britain," Energies, MDPI, vol. 12(17), pages 1-27, August.

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