Wave energy converter power take-off system scaling and physical modelling

Gianmaria Giannini, Irina Temiz, Paulo Rosa-Santos, Zahara Shahroozi, Victor Ramos, Malin Göteman, Jens Engström, Sandy Day, Francisco Taveira-Pinto

Research output: Contribution to journalArticlepeer-review

37 Citations (Scopus)
140 Downloads (Pure)

Abstract

Absorbing wave power from oceans for producing a usable form of energy represents an attractive challenge, which for the most part concerns the development and integration, in a wave energy device, of a reliable, efficient and cost-effective power take-off mechanism. During the various stages of progress, for assessing a wave energy device, it is convenient to carry out experimental testing that, opportunely, takes into account the realistic behaviour of the power take-off mechanism at a small scale. To successfully replicate and assess the power take-off, good practices need to be implemented aiming to correctly scale and evaluate the power take-off mechanism and its behaviour. The present paper aims to explore and propose solutions that can be applied for reproducing and assessing the power take-off element during experimental studies, namely experimental set-ups enhancements, calibration practices, and error estimation methods. A series of recommendations on how to practically organize and carry out experiments were identified and three case studies are briefly covered. It was found that, despite specific options that can be strictly technology-dependent, various recommendations could be universally applicable.
Original languageEnglish
Article number632
Number of pages21
JournalJournal of Marine Science and Engineering
Volume8
Issue number9
DOIs
Publication statusPublished - 20 Aug 2020

Keywords

  • power take off damping
  • wave power device
  • experimental testing
  • PTO simulator
  • uncertainty analysis
  • wave energy testing
  • experimental set up
  • calibration

Fingerprint

Dive into the research topics of 'Wave energy converter power take-off system scaling and physical modelling'. Together they form a unique fingerprint.

Cite this