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Open AccessFeature PaperArticle

Layout Optimization Process to Minimize the Cost of Energy of an Offshore Floating Hybrid Wind–Wave Farm

1
UNEP DTU Partnership, DTU Management, Marmorvej 51, 2100 Copenhagen, Denmark
2
Hydraulic and Water Resources Department, Federal University of Minas Gerais, 6627 Antônio Carlos Av., Belo Horizonte 31270-901, MG, Brazil
3
Fluing-Institute for Multidisciplinary Mathematics, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain
4
Department of Wind Energy, Technical University of Denmark, Frederiksborgvej 399, Building 115, Risø Campus, 4000 Roskilde, Denmark
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Department of Wind Energy, Technical University of Denmark, Nils Koppels Allé 403, DK-2800 Kgs. Lyngby, Denmark
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Floating Power Plant A/S, Birketvej 13, 4941 Bandholm, Denmark
*
Author to whom correspondence should be addressed.
Processes 2020, 8(2), 139; https://doi.org/10.3390/pr8020139
Received: 21 November 2019 / Revised: 31 December 2019 / Accepted: 13 January 2020 / Published: 21 January 2020
Offshore floating hybrid wind and wave energy is a young technology yet to be scaled up. A way to reduce the total costs of the energy production process in order to ensure competitiveness in the sustainable energy market is to maximize the farm’s efficiency. To do so, an energy generation and costs calculation model was developed with the objective of minimizing the technology’s Levelized Cost of Energy (LCOE) of the P80 hybrid wind-wave concept, designed by the company Floating Power Plant A/S. A Particle Swarm Optimization (PSO) algorithm was then implemented on top of other technical and decision-making processes, taking as decision variables the layout, the offshore substation position, and the export cable choice. The process was applied off the west coast of Ireland in a site of interest for the company, and after a quantitative and qualitative optimization process, a minimized LCOE was obtained. It was then found that lower costs of ~73% can be reached in the short-term, and the room for improvement in the structure’s design and materials was highlighted, with an LCOE reduction potential of up to 32%. The model serves usefully as a preliminary analysis. However, the uncertainty estimate of 11% indicates that further site-specific studies and measurements are essential. View Full-Text
Keywords: sustainable energy generation; floating offshore energy generation; hybrid wind-wave platform; LCOE; farm layout; optimization; Particle Swarm Optimization; PSO sustainable energy generation; floating offshore energy generation; hybrid wind-wave platform; LCOE; farm layout; optimization; Particle Swarm Optimization; PSO
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MDPI and ACS Style

Izquierdo-Pérez, J.; Brentan, B.M.; Izquierdo, J.; Clausen, N.-E.; Pegalajar-Jurado, A.; Ebsen, N. Layout Optimization Process to Minimize the Cost of Energy of an Offshore Floating Hybrid Wind–Wave Farm. Processes 2020, 8, 139.

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