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Comparative assessment of control strategies for the biradial turbine in the Mutriku OWC plant

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  • Faÿ, François-Xavier
  • Henriques, João C.
  • Kelly, James
  • Mueller, Markus
  • Abusara, Moahammad
  • Sheng, Wanan
  • Marcos, Marga

Abstract

To 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.

Suggested Citation

  • Faÿ, François-Xavier & Henriques, João C. & Kelly, James & Mueller, Markus & Abusara, Moahammad & Sheng, Wanan & Marcos, Marga, 2020. "Comparative assessment of control strategies for the biradial turbine in the Mutriku OWC plant," Renewable Energy, Elsevier, vol. 146(C), pages 2766-2784.
  • Handle: RePEc:eee:renene:v:146:y:2020:i:c:p:2766-2784
    DOI: 10.1016/j.renene.2019.08.074
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    Citations

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    Cited by:

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    2. Lorenzo Ciappi & Lapo Cheli & Irene Simonetti & Alessandro Bianchini & Giampaolo Manfrida & Lorenzo Cappietti, 2020. "Wave-to-Wire Model of an Oscillating-Water-Column Wave Energy Converter and Its Application to Mediterranean Energy Hot-Spots," Energies, MDPI, vol. 13(21), pages 1-28, October.
    3. Silva, Jorge Marques & Vieira, Susana M. & Valério, Duarte & Henriques, João C.C., 2023. "GA-optimized inverse fuzzy model control of OWC wave power plants," Renewable Energy, Elsevier, vol. 204(C), pages 556-568.
    4. Carrelhas, A.A.D. & Gato, L.M.C. & Falcão, A.F.O. & Henriques, J.C.C., 2022. "Control law design for the air-turbine-generator set of a fully submerged 1.5 MW mWave prototype. Part 1: Numerical modelling," Renewable Energy, Elsevier, vol. 181(C), pages 1402-1418.
    5. Liu, Zhen & Xu, Chuanli & Zhang, Xiaoxia & Ning, Dezhi, 2023. "Experimental study on an isolated oscillating water column wave energy converting device in oblique waves," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    6. Liu, Zhen & Xu, Chuanli & Kim, Kilwon & Li, Ming, 2022. "Experimental study on the overall performance of a model OWC system under the free-spinning mode in irregular waves," Energy, Elsevier, vol. 250(C).

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