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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/262369
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T09:46:53Zoai: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:34982025-09-29 09:46:53.949CONICET 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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13.070432 |