Nonlinear Data-Based Hydrodynamic Modeling of a Fixed Oscillating Water Column Wave Energy Device

System identification (SI) techniques represent an alternative strategy to provide the hydrodynamic model of oscillating water column (OWC) devices, compared to more traditional physics-based methods, such as linear potential theory (LPT) and computational fluid dynamics (CFD). With SI, the paramete...

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Autores principales:	Marco Rosati, Thomas Kelly, John V. Ringwood
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Data-based hydrodynamic modelling linear ARX model nonlinear KGP model oscillating water column real wave tank system identification Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/0b26de581cab42c0881a1c617a2773b4
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id	oai:doaj.org-article:0b26de581cab42c0881a1c617a2773b4
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spelling	oai:doaj.org-article:0b26de581cab42c0881a1c617a2773b42021-11-18T00:02:42ZNonlinear Data-Based Hydrodynamic Modeling of a Fixed Oscillating Water Column Wave Energy Device2169-353610.1109/ACCESS.2021.3125600https://doaj.org/article/0b26de581cab42c0881a1c617a2773b42021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9600815/https://doaj.org/toc/2169-3536System identification (SI) techniques represent an alternative strategy to provide the hydrodynamic model of oscillating water column (OWC) devices, compared to more traditional physics-based methods, such as linear potential theory (LPT) and computational fluid dynamics (CFD). With SI, the parameters of the model are obtained, by minimizing a model-related cost function, from input-output data. The main advantage of SI is its simplicity, as well as its potential validity range, where the dynamic model is valid over the full range for which the identification data was recorded. The paper clearly shows the value of a global nonlinear model, both in terms of accuracy and computational simplicity, over an equivalent multi-linear modelling solution. To this end, the validation performance of the nonlinear model is compared to the results provided by a range of linear models. Furthermore, in order to provide a more comprehensive comparative analysis, some practical aspects related to real-time implementation of multi-linear and nonlinear SI models are discussed. For the experimental campaign, real wave tank (RWT) data of a scaled OWC model are gathered from the narrow tank experimental facility at Dundalk Institute of Technology (DkIT). Particular attention is paid to the selection of suitable input signals for the experimental campaign, in order to ensure that the model is subjected to the entire range of equivalent frequencies, and amplitudes, over which model validity is required.Marco RosatiThomas KellyJohn V. RingwoodIEEEarticleData-based hydrodynamic modellinglinear ARX modelnonlinear KGP modeloscillating water columnreal wave tanksystem identificationElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 149756-149765 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Data-based hydrodynamic modelling linear ARX model nonlinear KGP model oscillating water column real wave tank system identification Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Data-based hydrodynamic modelling linear ARX model nonlinear KGP model oscillating water column real wave tank system identification Electrical engineering. Electronics. Nuclear engineering TK1-9971 Marco Rosati Thomas Kelly John V. Ringwood Nonlinear Data-Based Hydrodynamic Modeling of a Fixed Oscillating Water Column Wave Energy Device
description	System identification (SI) techniques represent an alternative strategy to provide the hydrodynamic model of oscillating water column (OWC) devices, compared to more traditional physics-based methods, such as linear potential theory (LPT) and computational fluid dynamics (CFD). With SI, the parameters of the model are obtained, by minimizing a model-related cost function, from input-output data. The main advantage of SI is its simplicity, as well as its potential validity range, where the dynamic model is valid over the full range for which the identification data was recorded. The paper clearly shows the value of a global nonlinear model, both in terms of accuracy and computational simplicity, over an equivalent multi-linear modelling solution. To this end, the validation performance of the nonlinear model is compared to the results provided by a range of linear models. Furthermore, in order to provide a more comprehensive comparative analysis, some practical aspects related to real-time implementation of multi-linear and nonlinear SI models are discussed. For the experimental campaign, real wave tank (RWT) data of a scaled OWC model are gathered from the narrow tank experimental facility at Dundalk Institute of Technology (DkIT). Particular attention is paid to the selection of suitable input signals for the experimental campaign, in order to ensure that the model is subjected to the entire range of equivalent frequencies, and amplitudes, over which model validity is required.
format	article
author	Marco Rosati Thomas Kelly John V. Ringwood
author_facet	Marco Rosati Thomas Kelly John V. Ringwood
author_sort	Marco Rosati
title	Nonlinear Data-Based Hydrodynamic Modeling of a Fixed Oscillating Water Column Wave Energy Device
title_short	Nonlinear Data-Based Hydrodynamic Modeling of a Fixed Oscillating Water Column Wave Energy Device
title_full	Nonlinear Data-Based Hydrodynamic Modeling of a Fixed Oscillating Water Column Wave Energy Device
title_fullStr	Nonlinear Data-Based Hydrodynamic Modeling of a Fixed Oscillating Water Column Wave Energy Device
title_full_unstemmed	Nonlinear Data-Based Hydrodynamic Modeling of a Fixed Oscillating Water Column Wave Energy Device
title_sort	nonlinear data-based hydrodynamic modeling of a fixed oscillating water column wave energy device
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/0b26de581cab42c0881a1c617a2773b4
work_keys_str_mv	AT marcorosati nonlineardatabasedhydrodynamicmodelingofafixedoscillatingwatercolumnwaveenergydevice AT thomaskelly nonlineardatabasedhydrodynamicmodelingofafixedoscillatingwatercolumnwaveenergydevice AT johnvringwood nonlineardatabasedhydrodynamicmodelingofafixedoscillatingwatercolumnwaveenergydevice
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Nonlinear Data-Based Hydrodynamic Modeling of a Fixed Oscillating Water Column Wave Energy Device

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