An Iterative Refining Approach to Design the Control of Wave Energy Converters with Numerical Modeling and Scaled HIL Testing

Nicola Delmonte, Eider Robles, Paolo Cova, Francesco Giuliani, François Xavier Faÿ, Joseba Lopez, Piero Ruol, Luca Martinelli

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

The aim of this work is to show that a significant increase of the e_ciency of aWave Energy Converter (WEC) can be achieved already at an early design stage, through the choice of a turbine and control regulation, by means of an accurate Wave-to-Wire (W2W) modeling that couples the hydrodynamic response calibrated in a wave flume to a Hardware-In-the-Loop (HIL) test bench with sizes and rates not matching those of the system under development. Information on this procedure is relevant to save time, because the acquisition, the installation, and the setup of a test rig are not quick and easy. Moreover, power electronics and electric machines to emulate turbines and electric generators matching the real systems are not low-cost equipment. The use of HIL is important in the development of WECs also because it allows the carrying out of tests in a controlled environment, and this is again time- and money-saving if compared to tests done on a real system installed at the sea. Furthermore, W2W modeling can be applied to several Power Take-O_ (PTO) configurations to experiment di_erent control strategies. The method here proposed, concerning a specific HIL for testing power electronics and control laws for a specific WECs, may have a more general validity.
Original languageEnglish
Article number2508
Pages (from-to)2508
Number of pages1
JournalEnergies
Volume13
Issue number10
DOIs
Publication statusPublished - May 2020

Keywords

  • Wave energy
  • Power conversion
  • Control
  • Wave-to-wire
  • HIL testing

Project and Funding Information

  • Project ID
  • info:eu-repo/grantAgreement/EC/FP7/262552/EU/Marine Renewables Infrastructure Network for Emerging Energy Technologies/MARINET
  • Funding Info
  • This work was supported by MARINET, a European Community—Research Infrastructure Action_x000D_ under the FP7 “Capacities” Specific Programme, grant agreement n. 262552.

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