Surrogate-based optimization of tidal turbine arrays: a case study for the Faro-Olhão inlet

Detalhes bibliográficos
Autor(a) principal: G-Gorbeña, Eduardo
Data de Publicação: 2019
Outros Autores: Pacheco, André, Plomaritis, Theocharis, Ferreira, Oscar, Sequeira, Claudia, Moura, Theo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/12782
Resumo: This paper presents a study for estimating the size of a tidal turbine array for the Faro-Olhão Inlet (Potugal) using a surrogate optimization approach. The method compromises problem formulation, hydro-morphodynamic modelling, surrogate construction and validation, and constraint optimization. A total of 26 surrogates were built using linear RBFs as a function of two design variables: number of rows in the array and Tidal Energy Converters (TECs) per row. Surrogates describe array performance and environmental effects associated with hydrodynamic and morphological aspects of the multi inlet lagoon. After validation, surrogate models were used to formulate a constraint optimization model. Results evidence that the largest array size that satisfies performance and environmental constraints is made of 3 rows and 10 TECs per row.
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spelling Surrogate-based optimization of tidal turbine arrays: a case study for the Faro-Olhão inletHydro-morphodynamic modellingMarine renewable energyRia FormosaThis paper presents a study for estimating the size of a tidal turbine array for the Faro-Olhão Inlet (Potugal) using a surrogate optimization approach. The method compromises problem formulation, hydro-morphodynamic modelling, surrogate construction and validation, and constraint optimization. A total of 26 surrogates were built using linear RBFs as a function of two design variables: number of rows in the array and Tidal Energy Converters (TECs) per row. Surrogates describe array performance and environmental effects associated with hydrodynamic and morphological aspects of the multi inlet lagoon. After validation, surrogate models were used to formulate a constraint optimization model. Results evidence that the largest array size that satisfies performance and environmental constraints is made of 3 rows and 10 TECs per row.Eduardo González-Gorbeña has received funding for the OpTiCA project (http://msca-optica.eu/) from the Marie Skłodowska-Curie Actions of the European Union's H2020-MSCA-IF-EF-RI-2016 / GA#: 748747. The paper is a contribution to the SCORE pro-ject, funded by the Portuguese Foundation for Science and Technology (FCT–PTDC/AAG-TEC/1710/2014). André Pacheco was supported by the Portuguese Foun-dation for Science and Technology under the Portuguese Researchers’ Programme 2014 entitled “Exploring new concepts for extracting energy from tides” (IF/00286/2014/CP1234).SpringerSapientiaG-Gorbeña, EduardoPacheco, AndréPlomaritis, TheocharisFerreira, OscarSequeira, ClaudiaMoura, Theo2019-09-25T12:37:41Z20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/12782eng0302-974310.1007/978-3-030-22744-9_43info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:24:46Zoai:sapientia.ualg.pt:10400.1/12782Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:04:03.678326Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Surrogate-based optimization of tidal turbine arrays: a case study for the Faro-Olhão inlet
title Surrogate-based optimization of tidal turbine arrays: a case study for the Faro-Olhão inlet
spellingShingle Surrogate-based optimization of tidal turbine arrays: a case study for the Faro-Olhão inlet
G-Gorbeña, Eduardo
Hydro-morphodynamic modelling
Marine renewable energy
Ria Formosa
title_short Surrogate-based optimization of tidal turbine arrays: a case study for the Faro-Olhão inlet
title_full Surrogate-based optimization of tidal turbine arrays: a case study for the Faro-Olhão inlet
title_fullStr Surrogate-based optimization of tidal turbine arrays: a case study for the Faro-Olhão inlet
title_full_unstemmed Surrogate-based optimization of tidal turbine arrays: a case study for the Faro-Olhão inlet
title_sort Surrogate-based optimization of tidal turbine arrays: a case study for the Faro-Olhão inlet
author G-Gorbeña, Eduardo
author_facet G-Gorbeña, Eduardo
Pacheco, André
Plomaritis, Theocharis
Ferreira, Oscar
Sequeira, Claudia
Moura, Theo
author_role author
author2 Pacheco, André
Plomaritis, Theocharis
Ferreira, Oscar
Sequeira, Claudia
Moura, Theo
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv G-Gorbeña, Eduardo
Pacheco, André
Plomaritis, Theocharis
Ferreira, Oscar
Sequeira, Claudia
Moura, Theo
dc.subject.por.fl_str_mv Hydro-morphodynamic modelling
Marine renewable energy
Ria Formosa
topic Hydro-morphodynamic modelling
Marine renewable energy
Ria Formosa
description This paper presents a study for estimating the size of a tidal turbine array for the Faro-Olhão Inlet (Potugal) using a surrogate optimization approach. The method compromises problem formulation, hydro-morphodynamic modelling, surrogate construction and validation, and constraint optimization. A total of 26 surrogates were built using linear RBFs as a function of two design variables: number of rows in the array and Tidal Energy Converters (TECs) per row. Surrogates describe array performance and environmental effects associated with hydrodynamic and morphological aspects of the multi inlet lagoon. After validation, surrogate models were used to formulate a constraint optimization model. Results evidence that the largest array size that satisfies performance and environmental constraints is made of 3 rows and 10 TECs per row.
publishDate 2019
dc.date.none.fl_str_mv 2019-09-25T12:37:41Z
2019
2019-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.1/12782
url http://hdl.handle.net/10400.1/12782
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0302-9743
10.1007/978-3-030-22744-9_43
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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