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

[EN] 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 genera...

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Autores: Izquierdo-Pérez, Jorge, Brentan, Bruno M., Clausen, Niels-Erik, Pegalajar-Jurado, Antonio, Ebsen, Nis, Izquierdo Sebastián, Joaquín|||0000-0002-6625-7226
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/162609
Acceso en línea:https://riunet.upv.es/handle/10251/162609
Access Level:acceso abierto
Palabra clave:Sustainable energy generation
Floating offshore energy generation
Hybrid wind-wave platform
LCOE
Farm layout
Optimization
Particle Swarm Optimization
PSO
MATEMATICA APLICADA
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
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network_acronym_str ES
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repository_id_str
spelling Layout Optimization Process to Minimize the Cost of Energy of an Offshore Floating Hybrid Wind-Wave FarmIzquierdo-Pérez, JorgeBrentan, Bruno M.Clausen, Niels-ErikPegalajar-Jurado, AntonioEbsen, NisIzquierdo Sebastián, Joaquín|||0000-0002-6625-7226Sustainable energy generationFloating offshore energy generationHybrid wind-wave platformLCOEFarm layoutOptimizationParticle Swarm OptimizationPSOMATEMATICA APLICADA09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación[EN] 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 similar to 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.MDPI AGEscuela Técnica Superior de Ingeniería de TelecomunicaciónDepartamento de Matemática AplicadaInstituto Universitario de Matemática MultidisciplinarRepositorio Institucional de la Universitat Politècnica de València Riunet20202020-02-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/162609reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1626092026-06-13T07:49:27Z
dc.title.none.fl_str_mv Layout Optimization Process to Minimize the Cost of Energy of an Offshore Floating Hybrid Wind-Wave Farm
title Layout Optimization Process to Minimize the Cost of Energy of an Offshore Floating Hybrid Wind-Wave Farm
spellingShingle Layout Optimization Process to Minimize the Cost of Energy of an Offshore Floating Hybrid Wind-Wave Farm
Izquierdo-Pérez, Jorge
Sustainable energy generation
Floating offshore energy generation
Hybrid wind-wave platform
LCOE
Farm layout
Optimization
Particle Swarm Optimization
PSO
MATEMATICA APLICADA
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
title_short Layout Optimization Process to Minimize the Cost of Energy of an Offshore Floating Hybrid Wind-Wave Farm
title_full Layout Optimization Process to Minimize the Cost of Energy of an Offshore Floating Hybrid Wind-Wave Farm
title_fullStr Layout Optimization Process to Minimize the Cost of Energy of an Offshore Floating Hybrid Wind-Wave Farm
title_full_unstemmed Layout Optimization Process to Minimize the Cost of Energy of an Offshore Floating Hybrid Wind-Wave Farm
title_sort Layout Optimization Process to Minimize the Cost of Energy of an Offshore Floating Hybrid Wind-Wave Farm
dc.creator.none.fl_str_mv Izquierdo-Pérez, Jorge
Brentan, Bruno M.
Clausen, Niels-Erik
Pegalajar-Jurado, Antonio
Ebsen, Nis
Izquierdo Sebastián, Joaquín|||0000-0002-6625-7226
author Izquierdo-Pérez, Jorge
author_facet Izquierdo-Pérez, Jorge
Brentan, Bruno M.
Clausen, Niels-Erik
Pegalajar-Jurado, Antonio
Ebsen, Nis
Izquierdo Sebastián, Joaquín|||0000-0002-6625-7226
author_role author
author2 Brentan, Bruno M.
Clausen, Niels-Erik
Pegalajar-Jurado, Antonio
Ebsen, Nis
Izquierdo Sebastián, Joaquín|||0000-0002-6625-7226
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Escuela Técnica Superior de Ingeniería de Telecomunicación
Departamento de Matemática Aplicada
Instituto Universitario de Matemática Multidisciplinar
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Sustainable energy generation
Floating offshore energy generation
Hybrid wind-wave platform
LCOE
Farm layout
Optimization
Particle Swarm Optimization
PSO
MATEMATICA APLICADA
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
topic Sustainable energy generation
Floating offshore energy generation
Hybrid wind-wave platform
LCOE
Farm layout
Optimization
Particle Swarm Optimization
PSO
MATEMATICA APLICADA
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
description [EN] 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 similar to 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.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-02-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/162609
url https://riunet.upv.es/handle/10251/162609
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869411744686800896
score 15,300719

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