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Energies 2018, 11(7), 1855; https://doi.org/10.3390/en11071855

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

1
Renewable Energy Marine Structures Centre for Doctoral Training, Cranfield University, Cranfield, Bedfordshire MK43 0AL, UK
2
Department of Mechanical Engineering and Materials—CIIM, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain
3
Department of Naval Architecture, Ocean & Marine Engineering, University of Strathclyde, HD2.35, Henry Dyer Building, 100 Montrose Street, Glasgow G4 0LZ, UK
*
Author to whom correspondence should be addressed.
Received: 23 April 2018 / Revised: 25 June 2018 / Accepted: 9 July 2018 / Published: 16 July 2018
(This article belongs to the Special Issue Optimisation Models and Methods in Energy Systems)
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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. View Full-Text
Keywords: multi-objective optimization; nondominated sorting genetic algorithm (NSGA); multi-criteria decision making (MCDM); technique for the order of preference by similarity to the ideal solution (TOPSIS); life cycle cost multi-objective optimization; nondominated sorting genetic algorithm (NSGA); multi-criteria decision making (MCDM); technique for the order of preference by similarity to the ideal solution (TOPSIS); life cycle cost
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Mytilinou, V.; Lozano-Minguez, E.; Kolios, A. A Framework for the Selection of Optimum Offshore Wind Farm Locations for Deployment. Energies 2018, 11, 1855.

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