Layout optimization of heaving Wave Energy Converters linear arrays in front of a vertical wall

Eva Loukogeorgaki, Constantine Michailides, G. Lavidas, Ioannis K. Chatjigeorgiou

Research output: Contribution to journalArticleScientificpeer-review

Abstract

The present paper focuses on the determination of optimum layouts for linear arrays of heaving Wave Energy Converters (WECs) in front of a vertical wall. Optimum layouts maximize the annual averaged absorbed energy at a given marine site and satisfy spatial constraints. For achieving this goal, we developed an efficient optimization numerical framework, where a genetic algorithm solver is appropriately coupled with a frequency-domain hydrodynamic model, while, furthermore, a numerical wave model is utilized to determine the local wave climate conditions at the site of interest. The context is applied for an array of five semi-immersed, oblate spheroidal heaving WECs deployed at five near-shore sites of mild wave environments in the Aegean Sea, Greece. For each site, different optimization cases are solved, facilitating the investigation of different aspects of the examined problem. The largest annual energy absorption ability is observed for optimum layouts, characterized by the placement of the array close to the wall and the formation of clusters of closely-positioned WECs near the wall edges. Compared to arrays employed at sites in south-eastern Aegean, optimally-arranged arrays at central Aegean locations showed reduced energy absorption ability due to milder local wave conditions and/or the existence of quite limited water depths.
Original languageEnglish
Pages (from-to)189-203
Number of pages15
JournalRenewable Energy
Volume179
DOIs
Publication statusPublished - 2021

Keywords

  • Wave energy converters
  • Array
  • Vertical wall
  • Optimization
  • Genetic algorithms
  • Greece

Fingerprint

Dive into the research topics of 'Layout optimization of heaving Wave Energy Converters linear arrays in front of a vertical wall'. Together they form a unique fingerprint.

Cite this