A multi-objective optimisation approach applied to offshore wind farm location selection

V. Mytilinou, A. J. Kolios

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

This paper compares the three state-of-the-art algorithms when applied to a real-world case of the wind energy sector. Optimum locations are suggested for a wind farm by considering only Round 3 zones around the UK. The problem comprises of some of the most important techno-economic life cycle cost-related factors, which are modelled using the physical aspects of each wind farm location (i.e., the wind speed, distance from the ports, and water depth), the wind turbine size, and the number of turbines. The model is linked to NSGA II, NSGA III, and SPEA 2 algorithms, to conduct an optimisation search. The performance of these three algorithms is demonstrated and analysed, so as to assess their effectiveness in the investment decision-making process in the wind sector, more importantly, for Round 3 zones. The results are subject to the specifics of the underlying life cycle cost model.

LanguageEnglish
Pages265-284
Number of pages20
JournalJournal of Ocean Engineering and Marine Energy
Volume3
Issue number3
Early online date26 Jul 2017
DOIs
Publication statusPublished - 1 Aug 2017

Fingerprint

Offshore wind farms
wind farm
Multiobjective optimization
life cycle
Life cycle
wind turbine
cost
turbine
water depth
wind velocity
decision making
Wind turbines
Wind power
Costs
Turbines
Decision making
economics
Economics
energy
Water

Keywords

  • Decision-making
  • III
  • Multi-objective optimisation
  • NSGAII
  • Round 3
  • SPEA 2
  • UK

Cite this

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A multi-objective optimisation approach applied to offshore wind farm location selection. / Mytilinou, V.; Kolios, A. J.

In: Journal of Ocean Engineering and Marine Energy, Vol. 3, No. 3, 01.08.2017, p. 265-284.

Research output: Contribution to journalArticle

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