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dc.contributor.authorFaÿ, François-Xavier
dc.contributor.authorKelly, James
dc.contributor.authorHenriques, João
dc.contributor.authorPujana, Ainhoa
dc.contributor.authorAbusara, Mohammad
dc.contributor.authorMueller, Markus
dc.contributor.authorTouzon, Imanol
dc.contributor.authorRuiz-Minguela, Pablo
dc.date.accessioned2018-11-26T11:34:24Z
dc.date.available2018-11-26T11:34:24Z
dc.date.issued2018
dc.identifier.citationFaÿ, François-Xavier, James Kelly, João Henriques, Ainhoa Pujana, Mohammad Abusara, Markus Mueller, Imanol Touzon, and Pablo Ruiz-Minguela. “Numerical Simulation of Control Strategies at Mutriku Wave Power Plant.” Volume 10: Ocean Renewable Energy (June 17, 2018). doi:10.1115/omae2018-78011.en
dc.identifier.isbn978-079185131-9en
dc.identifier.urihttp://hdl.handle.net/11556/657
dc.description.abstractIn order to de-risk wave energy technologies and bring confidence to the sector, it is necessary to gain experience and collect data from sea trials. As part of the OPERA H2020 project, the Mutriku Wave Power Plant (MWPP) is being used as a real condition laboratory for the experiment of innovative technologies. The plant is situated in the North shore of Spain and has been operating since 2011. It uses the Oscillating Water Column (OWC) principle, which consists in compressing and expanding the air trapped in a chamber due to the inner free-surface oscillation resulting from the incident waves. The pressure difference between the air chamber and the atmosphere is used to drive an air turbine. In that case, a self-rectifying air turbine is the best candidate for the energy conversion, as it produces a unidirectional torque in presence of a bi-directional flow. The power take-off system installed is composed of a biradial turbine connected to a 30kW off-the-shelf squirrel cage generator. One of the novelties of the turbine is a high-speed stop-valve installed close to the rotor. The valve may be used to control the flow rate through the turbine or for latching control. This paper focuses on the development, the implementation and the numerical simulation of five control strategies including turbine speed and generator torque controllers. The algorithms were designed thanks to a numerical model describing one of the OWC chambers of the Mutriku power plant. Numerical results are presented for a variety of sea states and a comparison between the proposed control laws in terms of energy production and power quality is performed.en
dc.description.sponsorshipThis work has been performed as part of the H2020 OPERA project GA 654444. The third author was supported by Portuguese Science Foundation, FCT researcher grant No. IF/01457/2014.en
dc.language.isoengen
dc.publisherAmerican Society of Mechanical Engineers (ASME)en
dc.titleNumerical Simulation of Control Strategies at Mutriku Wave Power Planten
dc.typeconferenceObjecten
dc.identifier.doi10.1115/OMAE2018-78011en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/654444/EU/Open Sea Operating Experience to Reduce Wave Energy Cost/OPERAen
dc.rights.accessRightsembargoedAccessen
dc.subject.keywordsControl algorithmsen
dc.subject.keywordsModel Predictive Controlen
dc.subject.keywordsOscillating Water Columnen
dc.subject.keywordsReinforcement Learningen
dc.subject.keywordsTorque controlen
dc.subject.keywordsWave energyen
dc.subject.keywordsWave-to-Wire modelen
dc.page.initialV010T09A029en
dc.volume.number10en
dc.conference.titleASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2018; Madrid; Spain; 17 June 2018 through 22 June 2018en


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