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dc.contributor.authorFaÿ, François Xavier
dc.contributor.authorHenriques, João C.
dc.contributor.authorKelly, James
dc.contributor.authorMueller, Markus
dc.contributor.authorAbusara, Moahammad
dc.contributor.authorSheng, Wanan
dc.contributor.authorMarcos Muñoz, Margarita
dc.date.accessioned2020-12-21T11:48:26Z
dc.date.available2020-12-21T11:48:26Z
dc.date.issued2020-02
dc.identifier.citationRenewable Energy 146 : 2766-2784 (2020)es_ES
dc.identifier.issn0960-1481
dc.identifier.urihttp://hdl.handle.net/10810/49184
dc.description.abstractTo be competitive against other renewable energy sources, energy converted from the ocean waves needs to reduce its associated levelised cost of energy. It has been proven that advanced control algorithms can increase power production and device reliability. They act throughout the power conversion chain, from the hydrodynamics of wave absorption to the power take-off to improve the energy yield. The present work highlights the development and test of several algorithms to control the biradial turbine which is to be installed in the Mutriku oscillating water column plant. A collection of adaptive and predictive controllers is explored and both turbine speed controllers and latching strategies are examined. A Wave to-Wire model of one chamber of the plant is detailed and simulation results of six control laws are obtained. The controllers are then validated using an electrical test infrastructure to prepare the future deployment in the plant. Finally, the control strategies are assessed against criteria like energy production, power quality or reliability. (C) 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).es_ES
dc.description.sponsorshipThis work has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 654444 (OPERA Project). This work was financed by GV/EJ (Basque Country Government) under grants IT1324-19. The second author was partially funded by the Portuguese Foundation for Science and Technology (FCT) through IDMEC, under LAETA PEst-OE/EME/LA0022 by FCT researcher grant No. IF/01457/2014. The authors acknowledge AZTI Tecnalia for wave resource data measured at the plant.es_ES
dc.language.isoenges_ES
dc.publisherPergamon-Elsevieres_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/654444es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectwave energyes_ES
dc.subjectMutriku owc plantes_ES
dc.subjectnumerical simulationses_ES
dc.subjecttest rig experimentses_ES
dc.subjectcontrol strategieses_ES
dc.subjectopera h2020es_ES
dc.subjectwave energy-conversiones_ES
dc.subjectlatching control strategieses_ES
dc.subjectpart Ies_ES
dc.subjectpoweres_ES
dc.subjectconverteres_ES
dc.subjecttechnologieses_ES
dc.subjectsystemes_ES
dc.subjectdevicees_ES
dc.titleComparative assessment of control strategies for the biradial turbine in the Mutriku OWC plantes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0960148119312613?via%3Dihubes_ES
dc.identifier.doi10.1016/j.renene.2019.08.074
dc.contributor.funderEuropean Commission
dc.departamentoesIngeniería de sistemas y automáticaes_ES
dc.departamentoeuSistemen ingeniaritza eta automatikaes_ES


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2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/
Except where otherwise noted, this item's license is described as 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/