Preprint Article Version 1 This version is not peer-reviewed

A Framework to Select Optimum Offshore Wind Farm Locations for Deployment

Version 1 : Received: 23 April 2018 / Approved: 23 April 2018 / Online: 23 April 2018 (12:58:03 CEST)

A peer-reviewed article of this Preprint also exists.

Mytilinou, V.; Lozano-Minguez, E.; Kolios, A. A Framework for the Selection of Optimum Offshore Wind Farm Locations for Deployment. Energies 2018, 11, 1855. Mytilinou, V.; Lozano-Minguez, E.; Kolios, A. A Framework for the Selection of Optimum Offshore Wind Farm Locations for Deployment. Energies 2018, 11, 1855.

Journal reference: Energies 2018, 11, 1855
DOI: 10.3390/en11071855

Abstract

This research proposes a framework to assist wind energy developers to select the optimum deployment site of a wind farm by considering the Round 3 zones in the UK. The framework includes optimisation techniques, decision-making methods and experts’ input in order to help stakeholders with investment decisions. Techno-economic, Life Cycle Costs (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 selections is also presented and seven conflicting criteria are being considered in TOPSIS methods in order to suggest the optimum location that was produced by the NSGAII algorithm. Seagreen Alpha was the most probable solution, followed by Moray Firth Eastern Development Area 1, 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 more informed and cost-effective decisions under uncertainty when investing in offshore wind energy in the UK.

Subject Areas

multi-objective optimisation; NSGAII; MCDM; TOPSIS; life cycle cost

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