2015
DOI: 10.1016/j.ijome.2015.08.004
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Lessons learned using electrical research test infrastructures to address the electrical challenges faced by ocean energy developers

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Cited by 4 publications
(4 citation statements)
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“…The work here presented may be extended and applied to a more advanced design (e.g., considering a predictive strategy with artificial neural network) of the control system for the OWC taken as reference, to improve its performance. The usefulness of the HIL test rig is in fact demonstrated not only by the study case of this work, but also by the works in [19] and [22] for different WECs at the design stage. More recently, it has been validated also for a real [27], but it was never defined and structured as in the present work.…”
mentioning
confidence: 71%
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“…The work here presented may be extended and applied to a more advanced design (e.g., considering a predictive strategy with artificial neural network) of the control system for the OWC taken as reference, to improve its performance. The usefulness of the HIL test rig is in fact demonstrated not only by the study case of this work, but also by the works in [19] and [22] for different WECs at the design stage. More recently, it has been validated also for a real [27], but it was never defined and structured as in the present work.…”
mentioning
confidence: 71%
“…The same HIL test rig has been applied to develop other WECs with high Technological Readiness Level (e.g., for the development of different WECs named REWEC3, OWC Spar-buoy, Ocean Energy buoy, and ISWEC [19,22]). Good results were also obtained to set a predictive control for the full-scale biradial turbine of the Mutriku OWC plant [27] .…”
Section: Hil Test Benchmentioning
confidence: 99%
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“…The Hardware-In-the-Loop (HIL) testing scheme is considered as a state-of-the-art tool to bridge the gap between the laboratory and operational environment. In the wave energy sector, HIL has already been used for testing PTOs, as described in [3], [4], [5] and [6].…”
Section: Introductionmentioning
confidence: 99%