Optimization and Energy Maximizing Control Systems for Wave Energy Converters
Giorgi, Giuseppe (editor)
Sirigu, Sergej Antonello (editor)
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.
Keywordswave energy; wave energy converter; PeWEC; techno-economic optimisation; genetic algorithm; cost of energy; CaPex; CWR; arrays; experiments; wave tank; scale test; point absorber; array optimization; 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; control; reinforcement learning; deep reinforcement learning; deep learning; adaptive control; wave energy converters; spectral control; power take-off; WECs; size optimization; techno-economic performance; PTO sizing; causal control; Model Predictive Control; wave-energy converter; absorbed power; nonlinear model predictive control; two degrees of freedom wave energy converter; nonlinear hydrodynamics; nonlinear power take-off; nonlinear model; Froude-Krylov force; sliding mode control; n/a
Webshop linkhttps://mdpi.com/books/pdfview ...
Publication date and placeBasel, 2022
Technology: general issues