Optimal Micro-Siting of Weathervaning Floating Wind Turbines

This paper presents a novel tool for optimizing floating offshore wind farms based on weathervaning turbines. This solution is grounded on the ability of the assembly (wind turbine plus floater) to self-orientate into the wind direction, as this concept is allowed to freely pivot on a single point....

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Autores: Serrano-González, Javier, Burgos Payán, Manuel, Riquelme Santos, Jesús Manuel, González Rodríguez, Ángel Gaspar
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Recursos:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/108033
Acesso em linha:https://hdl.handle.net/11441/108033
https://doi.org/10.3390/en14040886
Access Level:acceso abierto
Palavra-chave:Floating offshore
Micro-siting
Offshore wind farm
Optimal layout
Passive yaw control
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spelling Optimal Micro-Siting of Weathervaning Floating Wind TurbinesSerrano-González, JavierBurgos Payán, ManuelRiquelme Santos, Jesús ManuelGonzález Rodríguez, Ángel GasparFloating offshoreMicro-sitingOffshore wind farmOptimal layoutPassive yaw controlThis paper presents a novel tool for optimizing floating offshore wind farms based on weathervaning turbines. This solution is grounded on the ability of the assembly (wind turbine plus floater) to self-orientate into the wind direction, as this concept is allowed to freely pivot on a single point. This is a passive yaw potential solution for floating wind farms currently in the demonstration phase. A genetic algorithm is proposed for optimizing the levelised cost of energy by determining the geographical coordinates of the pivot points (i.e., the position over which the assembly can rotate to self-orient to the incoming wind direction). A tailored evaluation module is proposed to take into account the weathervaning motion around the pivot point depending on the incoming wind direction. The results obtained show the suitability of the proposed method to solve the addressed problem under realistic conditions. Additionally, the influence of the feasible region defined by the plot and the maximum area occupied on floating offshore wind farm design are also analysed in the proposed test cases. These deployable area constraints are of great importance for the viability of this technology, as it requires more space than classical solutions anchored to a fixed point.Spanish Ministry of Economy, Industry and Competitiveness ENE2016-77650-RMDPIIngeniería EléctricaTEP196: Sistemas de Energía EléctricaCERVERA research programme of CDTI, the Industrial and Technological Development Centre of Spain, under the research Project HySGrid+ (CER- 20191019)CYTED Programme by the MICRO-EOLO network (Red 718RT0564)2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/108033https://doi.org/10.3390/en14040886reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésEnergies, 14 (4), 886-.ENE2016-77650-RCERVERA CER- 20191019MICRO-EOLO network Red 718RT0564https://www.mdpi.com/1996-1073/14/4/886info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1080332026-06-17T12:51:07Z
dc.title.none.fl_str_mv Optimal Micro-Siting of Weathervaning Floating Wind Turbines
title Optimal Micro-Siting of Weathervaning Floating Wind Turbines
spellingShingle Optimal Micro-Siting of Weathervaning Floating Wind Turbines
Serrano-González, Javier
Floating offshore
Micro-siting
Offshore wind farm
Optimal layout
Passive yaw control
title_short Optimal Micro-Siting of Weathervaning Floating Wind Turbines
title_full Optimal Micro-Siting of Weathervaning Floating Wind Turbines
title_fullStr Optimal Micro-Siting of Weathervaning Floating Wind Turbines
title_full_unstemmed Optimal Micro-Siting of Weathervaning Floating Wind Turbines
title_sort Optimal Micro-Siting of Weathervaning Floating Wind Turbines
dc.creator.none.fl_str_mv Serrano-González, Javier
Burgos Payán, Manuel
Riquelme Santos, Jesús Manuel
González Rodríguez, Ángel Gaspar
author Serrano-González, Javier
author_facet Serrano-González, Javier
Burgos Payán, Manuel
Riquelme Santos, Jesús Manuel
González Rodríguez, Ángel Gaspar
author_role author
author2 Burgos Payán, Manuel
Riquelme Santos, Jesús Manuel
González Rodríguez, Ángel Gaspar
author2_role author
author
author
dc.contributor.none.fl_str_mv Ingeniería Eléctrica
TEP196: Sistemas de Energía Eléctrica
CERVERA research programme of CDTI, the Industrial and Technological Development Centre of Spain, under the research Project HySGrid+ (CER- 20191019)
CYTED Programme by the MICRO-EOLO network (Red 718RT0564)
dc.subject.none.fl_str_mv Floating offshore
Micro-siting
Offshore wind farm
Optimal layout
Passive yaw control
topic Floating offshore
Micro-siting
Offshore wind farm
Optimal layout
Passive yaw control
description This paper presents a novel tool for optimizing floating offshore wind farms based on weathervaning turbines. This solution is grounded on the ability of the assembly (wind turbine plus floater) to self-orientate into the wind direction, as this concept is allowed to freely pivot on a single point. This is a passive yaw potential solution for floating wind farms currently in the demonstration phase. A genetic algorithm is proposed for optimizing the levelised cost of energy by determining the geographical coordinates of the pivot points (i.e., the position over which the assembly can rotate to self-orient to the incoming wind direction). A tailored evaluation module is proposed to take into account the weathervaning motion around the pivot point depending on the incoming wind direction. The results obtained show the suitability of the proposed method to solve the addressed problem under realistic conditions. Additionally, the influence of the feasible region defined by the plot and the maximum area occupied on floating offshore wind farm design are also analysed in the proposed test cases. These deployable area constraints are of great importance for the viability of this technology, as it requires more space than classical solutions anchored to a fixed point.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/108033
https://doi.org/10.3390/en14040886
url https://hdl.handle.net/11441/108033
https://doi.org/10.3390/en14040886
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Energies, 14 (4), 886-.
ENE2016-77650-R
CERVERA CER- 20191019
MICRO-EOLO network Red 718RT0564
https://www.mdpi.com/1996-1073/14/4/886
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301629

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