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    Numerical Simulation of Control Strategies at Mutriku Wave Power Plant

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    REV_OMAE_2018_Numerical ... (1.582Mb)
    Identifiers
    URI: http://hdl.handle.net/11556/657
    ISBN: 978-079185131-9
    DOI: 10.1115/OMAE2018-78011
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    Author/s
    Faÿ, François-Xavier; Kelly, James; Henriques, João; Pujana, Ainhoa; Abusara, Mohammad; [et al.]
    Date
    2018
    Keywords
    Control algorithms
    Model Predictive Control
    Oscillating Water Column
    Reinforcement Learning
    Torque control
    Wave energy
    Wave-to-Wire model
    Abstract
    In 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. ...
    Type
    conferenceObject

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