Data-based modelling of arrays of wave energy systems: Experimental tests, models, and validation

Autores
Pasta, Edoardo; Papini, Guglielmo; Peña Sanchez, Yerai; Mosquera, Facundo; Ferri, Francesco; Faedo, Nicolás Ezequiel
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
One of the key steps towards economic feasibility of wave energy conversion technology concerns scaling up to farms of multiple devices, in the attempt to reduce installation costs by sharing infrastructure, and a consequent drop in levelised cost of energy. Moreover, whenever wave energy systems are deployed in proximity (in so-called arrays), the exploitation of the hydrodynamic interactions between single devices is fully enabled, potentially increasing the final energy outcome. To achieve this in real (operational) time, the employed energy-maximising control strategies require control-oriented array models, able to efficiently describe the dynamics of these interconnected systems in a representative fashion. This can be, nonetheless, a difficult task when considering first principles alone, under small motion assumptions, for modelling purposes. Recognising the uncertainty associated to array numerical models obtained from the linearisation of simplified system equations around their equilibria, this paper presents models of several array configurations identified following a frequency domain approach on the basis of experimental data. Tailored tests on laboratory-scale devices have been designed and conducted in the Aalborg University (Denmark) wave tank facility, with the purpose of performing representative system identification of the wave energy systems arrays. The obtained models are validated on different representative sea states configurations, in controlled and uncontrolled motion operational conditions. The validation results are fully discussed and analysed in terms of standard error measures and time lag, while the obtained models are made freely accessible via a linked repository (named OCEAN), in the attempt to openly provide validated models for different array configurations.
Fil: Pasta, Edoardo. Politecnico di Torino; Italia
Fil: Papini, Guglielmo. Politecnico di Torino; Italia
Fil: Peña Sanchez, Yerai. Mondragon University; España
Fil: Mosquera, Facundo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; Argentina
Fil: Ferri, Francesco. Aalborg University; Dinamarca
Fil: Faedo, Nicolás Ezequiel. Politecnico di Torino; Italia
Materia
Data-based modelling
wave energy system arrays
experimental data
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/262369
Acceder
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spelling Data-based modelling of arrays of wave energy systems: Experimental tests, models, and validationPasta, EdoardoPapini, GuglielmoPeña Sanchez, YeraiMosquera, FacundoFerri, FrancescoFaedo, Nicolás EzequielData-based modellingwave energy system arraysexperimental datahttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2One of the key steps towards economic feasibility of wave energy conversion technology concerns scaling up to farms of multiple devices, in the attempt to reduce installation costs by sharing infrastructure, and a consequent drop in levelised cost of energy. Moreover, whenever wave energy systems are deployed in proximity (in so-called arrays), the exploitation of the hydrodynamic interactions between single devices is fully enabled, potentially increasing the final energy outcome. To achieve this in real (operational) time, the employed energy-maximising control strategies require control-oriented array models, able to efficiently describe the dynamics of these interconnected systems in a representative fashion. This can be, nonetheless, a difficult task when considering first principles alone, under small motion assumptions, for modelling purposes. Recognising the uncertainty associated to array numerical models obtained from the linearisation of simplified system equations around their equilibria, this paper presents models of several array configurations identified following a frequency domain approach on the basis of experimental data. Tailored tests on laboratory-scale devices have been designed and conducted in the Aalborg University (Denmark) wave tank facility, with the purpose of performing representative system identification of the wave energy systems arrays. The obtained models are validated on different representative sea states configurations, in controlled and uncontrolled motion operational conditions. The validation results are fully discussed and analysed in terms of standard error measures and time lag, while the obtained models are made freely accessible via a linked repository (named OCEAN), in the attempt to openly provide validated models for different array configurations.Fil: Pasta, Edoardo. Politecnico di Torino; ItaliaFil: Papini, Guglielmo. Politecnico di Torino; ItaliaFil: Peña Sanchez, Yerai. Mondragon University; EspañaFil: Mosquera, Facundo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; ArgentinaFil: Ferri, Francesco. Aalborg University; DinamarcaFil: Faedo, Nicolás Ezequiel. Politecnico di Torino; ItaliaPergamon-Elsevier Science Ltd2024-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/262369Pasta, Edoardo; Papini, Guglielmo; Peña Sanchez, Yerai; Mosquera, Facundo; Ferri, Francesco; et al.; Data-based modelling of arrays of wave energy systems: Experimental tests, models, and validation; Pergamon-Elsevier Science Ltd; Control Engineering Practice; 148; 7-2024; 1-140967-0661CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0967066124001096info:eu-repo/semantics/altIdentifier/doi/10.1016/j.conengprac.2024.105949info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:15:45Zoai:ri.conicet.gov.ar:11336/262369instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:15:46.016CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Data-based modelling of arrays of wave energy systems: Experimental tests, models, and validation
title Data-based modelling of arrays of wave energy systems: Experimental tests, models, and validation
spellingShingle Data-based modelling of arrays of wave energy systems: Experimental tests, models, and validation
Pasta, Edoardo
Data-based modelling
wave energy system arrays
experimental data
title_short Data-based modelling of arrays of wave energy systems: Experimental tests, models, and validation
title_full Data-based modelling of arrays of wave energy systems: Experimental tests, models, and validation
title_fullStr Data-based modelling of arrays of wave energy systems: Experimental tests, models, and validation
title_full_unstemmed Data-based modelling of arrays of wave energy systems: Experimental tests, models, and validation
title_sort Data-based modelling of arrays of wave energy systems: Experimental tests, models, and validation
dc.creator.none.fl_str_mv Pasta, Edoardo
Papini, Guglielmo
Peña Sanchez, Yerai
Mosquera, Facundo
Ferri, Francesco
Faedo, Nicolás Ezequiel
author Pasta, Edoardo
author_facet Pasta, Edoardo
Papini, Guglielmo
Peña Sanchez, Yerai
Mosquera, Facundo
Ferri, Francesco
Faedo, Nicolás Ezequiel
author_role author
author2 Papini, Guglielmo
Peña Sanchez, Yerai
Mosquera, Facundo
Ferri, Francesco
Faedo, Nicolás Ezequiel
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Data-based modelling
wave energy system arrays
experimental data
topic Data-based modelling
wave energy system arrays
experimental data
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv One of the key steps towards economic feasibility of wave energy conversion technology concerns scaling up to farms of multiple devices, in the attempt to reduce installation costs by sharing infrastructure, and a consequent drop in levelised cost of energy. Moreover, whenever wave energy systems are deployed in proximity (in so-called arrays), the exploitation of the hydrodynamic interactions between single devices is fully enabled, potentially increasing the final energy outcome. To achieve this in real (operational) time, the employed energy-maximising control strategies require control-oriented array models, able to efficiently describe the dynamics of these interconnected systems in a representative fashion. This can be, nonetheless, a difficult task when considering first principles alone, under small motion assumptions, for modelling purposes. Recognising the uncertainty associated to array numerical models obtained from the linearisation of simplified system equations around their equilibria, this paper presents models of several array configurations identified following a frequency domain approach on the basis of experimental data. Tailored tests on laboratory-scale devices have been designed and conducted in the Aalborg University (Denmark) wave tank facility, with the purpose of performing representative system identification of the wave energy systems arrays. The obtained models are validated on different representative sea states configurations, in controlled and uncontrolled motion operational conditions. The validation results are fully discussed and analysed in terms of standard error measures and time lag, while the obtained models are made freely accessible via a linked repository (named OCEAN), in the attempt to openly provide validated models for different array configurations.
Fil: Pasta, Edoardo. Politecnico di Torino; Italia
Fil: Papini, Guglielmo. Politecnico di Torino; Italia
Fil: Peña Sanchez, Yerai. Mondragon University; España
Fil: Mosquera, Facundo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; Argentina
Fil: Ferri, Francesco. Aalborg University; Dinamarca
Fil: Faedo, Nicolás Ezequiel. Politecnico di Torino; Italia
description One of the key steps towards economic feasibility of wave energy conversion technology concerns scaling up to farms of multiple devices, in the attempt to reduce installation costs by sharing infrastructure, and a consequent drop in levelised cost of energy. Moreover, whenever wave energy systems are deployed in proximity (in so-called arrays), the exploitation of the hydrodynamic interactions between single devices is fully enabled, potentially increasing the final energy outcome. To achieve this in real (operational) time, the employed energy-maximising control strategies require control-oriented array models, able to efficiently describe the dynamics of these interconnected systems in a representative fashion. This can be, nonetheless, a difficult task when considering first principles alone, under small motion assumptions, for modelling purposes. Recognising the uncertainty associated to array numerical models obtained from the linearisation of simplified system equations around their equilibria, this paper presents models of several array configurations identified following a frequency domain approach on the basis of experimental data. Tailored tests on laboratory-scale devices have been designed and conducted in the Aalborg University (Denmark) wave tank facility, with the purpose of performing representative system identification of the wave energy systems arrays. The obtained models are validated on different representative sea states configurations, in controlled and uncontrolled motion operational conditions. The validation results are fully discussed and analysed in terms of standard error measures and time lag, while the obtained models are made freely accessible via a linked repository (named OCEAN), in the attempt to openly provide validated models for different array configurations.
publishDate 2024
dc.date.none.fl_str_mv 2024-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/262369
Pasta, Edoardo; Papini, Guglielmo; Peña Sanchez, Yerai; Mosquera, Facundo; Ferri, Francesco; et al.; Data-based modelling of arrays of wave energy systems: Experimental tests, models, and validation; Pergamon-Elsevier Science Ltd; Control Engineering Practice; 148; 7-2024; 1-14
0967-0661
CONICET Digital
CONICET
url http://hdl.handle.net/11336/262369
identifier_str_mv Pasta, Edoardo; Papini, Guglielmo; Peña Sanchez, Yerai; Mosquera, Facundo; Ferri, Francesco; et al.; Data-based modelling of arrays of wave energy systems: Experimental tests, models, and validation; Pergamon-Elsevier Science Ltd; Control Engineering Practice; 148; 7-2024; 1-14
0967-0661
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0967066124001096
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.conengprac.2024.105949
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd
publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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