Optimization and Energy Maximizing Control Systems for Wave Energy Converters

Edited by
January 2022
266 pages
  • ISBN978-3-0365-2824-3 (Hardback)
  • ISBN978-3-0365-2825-0 (PDF)

This book is a reprint of the Special Issue Optimization and Energy Maximizing Control Systems for Wave Energy Converters that was published in

Environmental & Earth Sciences

The book, “Optimization and Energy Maximizing Control Systems for Wave Energy Converters”, presents eleven contributions on the latest scientific advancements of 2020-2021 in wave energy technology optimization and control, including holistic techno-economic optimization, inclusion of nonlinear effects, and real-time implementations of estimation and control algorithms.

  • Hardback
© 2022 by the authors; CC BY-NC-ND license
wave energy; wave energy converter; PeWEC; techno-economic optimisation; genetic algorithm; cost of energy; CaPex; CWR; wave energy; arrays; experiments; wave tank; scale test; point absorber; array optimization; wave energy; wave energy converter; energy-maximising control; optimal control; impedance-matching; renewable energy systems; paramertic resonance; wave energy conversion; real-time detection; recursive least squares; Kalman Filter; Neural Network; wave excitation forces; estimation; Optimal Control; Wave Energy Converter; wave energy converter; control; reinforcement learning; deep reinforcement learning; deep learning; adaptive control; wave energy converters; spectral control; optimal control; power take-off; WECs; size optimization; techno-economic performance; PTO sizing; causal control; Model Predictive Control; point absorber; wave-energy converter; absorbed power; nonlinear model predictive control; two degrees of freedom wave energy converter; nonlinear hydrodynamics; nonlinear power take-off; wave energy; nonlinear model; Froude-Krylov force; sliding mode control; n/a