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

Mytilinou, V. and Kolios, A. J. (2017) A multi-objective optimisation approach applied to offshore wind farm location selection. Journal of Ocean Engineering and Marine Energy, 3 (3). pp. 265-284. ISSN 2198-6452

[thumbnail of Mytilinou-Kolios-JOEME-2017-A-Multi-objective-optimisation-approach-applied-to-offshore]
Preview
 Text (Mytilinou-Kolios-JOEME-2017-A-Multi-objective-optimisation-approach-applied-to-offshore)
Mytilinou_Kolios_JOEME_2017_A_Multi_objective_optimisation_approach_applied_to_offshore.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo
Download (4MB)| Preview

    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.

    ORCID iDs

    Mytilinou, V. and Kolios, A. J. ORCID logoORCID: https://orcid.org/0000-0001-6711-641X;
    CORE (COnnecting REpositories)