A multi-objective optimization framework for offshorewind farm layouts and electric infrastructures

Current offshore wind farms (OWFs) design processes are based on a sequential approach which does not guarantee system optimality because it oversimplifies the problem by discarding important interdependencies between design aspects. This article presents a framework to integrate, automate and optim...

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Detalles Bibliográficos
Autores: Rodrigues, Silvio, Restrepo, Carlos, Katsouris, George, Teixeira Pinto, Rodrigo, Soleimanzadeh, Maryam, Bosman, Peter, Bauer, Pavol
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/100360
Acceso en línea:https://hdl.handle.net/2117/100360
https://dx.doi.org/10.3390/en9030216
Access Level:acceso abierto
Palabra clave:Offshore wind power plants
Design parameters
Economic functions
Multi-objective optimization
Offshore wind farms
Trade-offs
Wind farm designers
Parcs eòlics marins
Àrees temàtiques de la UPC::Energies::Energia eòlica::Parcs eòlics
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spelling A multi-objective optimization framework for offshorewind farm layouts and electric infrastructuresRodrigues, SilvioRestrepo, CarlosKatsouris, GeorgeTeixeira Pinto, RodrigoSoleimanzadeh, MaryamBosman, PeterBauer, PavolOffshore wind power plantsDesign parametersEconomic functionsMulti-objective optimizationOffshore wind farmsTrade-offsWind farm designersParcs eòlics marinsÀrees temàtiques de la UPC::Energies::Energia eòlica::Parcs eòlicsCurrent offshore wind farms (OWFs) design processes are based on a sequential approach which does not guarantee system optimality because it oversimplifies the problem by discarding important interdependencies between design aspects. This article presents a framework to integrate, automate and optimize the design of OWF layouts and the respective electrical infrastructures. The proposed framework optimizes simultaneously different goals (e.g., annual energy delivered and investment cost) which leads to efficient trade-offs during the design phase, e.g., reduction of wake losses vs collection system length. Furthermore, the proposed framework is independent of economic assumptions, meaning that no a priori values such as the interest rate or energy price, are needed. The proposed framework was applied to the Dutch Borssele areas I and II. A wide range of OWF layouts were obtained through the optimization framework. OWFs with similar energy production and investment cost as layouts designed with standard sequential strategies were obtained through the framework, meaning that the proposed framework has the capability to create different OWF layouts that would have been missed by the designers. In conclusion, the proposed multi-objective optimization framework represents a mind shift in design tools for OWFs which allows cost savings in the design and operation phases.Peer Reviewed20162016-01-0120172017-01-31journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/100360https://dx.doi.org/10.3390/en9030216reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1003602026-05-27T15:37:01Z
dc.title.none.fl_str_mv A multi-objective optimization framework for offshorewind farm layouts and electric infrastructures
title A multi-objective optimization framework for offshorewind farm layouts and electric infrastructures
spellingShingle A multi-objective optimization framework for offshorewind farm layouts and electric infrastructures
Rodrigues, Silvio
Offshore wind power plants
Design parameters
Economic functions
Multi-objective optimization
Offshore wind farms
Trade-offs
Wind farm designers
Parcs eòlics marins
Àrees temàtiques de la UPC::Energies::Energia eòlica::Parcs eòlics
title_short A multi-objective optimization framework for offshorewind farm layouts and electric infrastructures
title_full A multi-objective optimization framework for offshorewind farm layouts and electric infrastructures
title_fullStr A multi-objective optimization framework for offshorewind farm layouts and electric infrastructures
title_full_unstemmed A multi-objective optimization framework for offshorewind farm layouts and electric infrastructures
title_sort A multi-objective optimization framework for offshorewind farm layouts and electric infrastructures
dc.creator.none.fl_str_mv Rodrigues, Silvio
Restrepo, Carlos
Katsouris, George
Teixeira Pinto, Rodrigo
Soleimanzadeh, Maryam
Bosman, Peter
Bauer, Pavol
author Rodrigues, Silvio
author_facet Rodrigues, Silvio
Restrepo, Carlos
Katsouris, George
Teixeira Pinto, Rodrigo
Soleimanzadeh, Maryam
Bosman, Peter
Bauer, Pavol
author_role author
author2 Restrepo, Carlos
Katsouris, George
Teixeira Pinto, Rodrigo
Soleimanzadeh, Maryam
Bosman, Peter
Bauer, Pavol
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Offshore wind power plants
Design parameters
Economic functions
Multi-objective optimization
Offshore wind farms
Trade-offs
Wind farm designers
Parcs eòlics marins
Àrees temàtiques de la UPC::Energies::Energia eòlica::Parcs eòlics
topic Offshore wind power plants
Design parameters
Economic functions
Multi-objective optimization
Offshore wind farms
Trade-offs
Wind farm designers
Parcs eòlics marins
Àrees temàtiques de la UPC::Energies::Energia eòlica::Parcs eòlics
description Current offshore wind farms (OWFs) design processes are based on a sequential approach which does not guarantee system optimality because it oversimplifies the problem by discarding important interdependencies between design aspects. This article presents a framework to integrate, automate and optimize the design of OWF layouts and the respective electrical infrastructures. The proposed framework optimizes simultaneously different goals (e.g., annual energy delivered and investment cost) which leads to efficient trade-offs during the design phase, e.g., reduction of wake losses vs collection system length. Furthermore, the proposed framework is independent of economic assumptions, meaning that no a priori values such as the interest rate or energy price, are needed. The proposed framework was applied to the Dutch Borssele areas I and II. A wide range of OWF layouts were obtained through the optimization framework. OWFs with similar energy production and investment cost as layouts designed with standard sequential strategies were obtained through the framework, meaning that the proposed framework has the capability to create different OWF layouts that would have been missed by the designers. In conclusion, the proposed multi-objective optimization framework represents a mind shift in design tools for OWFs which allows cost savings in the design and operation phases.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01
2017
2017-01-31
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://hdl.handle.net/2117/100360
https://dx.doi.org/10.3390/en9030216
url https://hdl.handle.net/2117/100360
https://dx.doi.org/10.3390/en9030216
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
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
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301629

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