Optimization and Energy Maximizing Control Systems for Wave Energy Converters

• Other Authors: Giorgi, Giuseppe (Editor), Sirigu, Sergej Antonello (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Subjects: Technology: general issues; wave 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
• Online Access: DOAB: download the publication; DOAB: description of the publication

Summary

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.

Physical Description

1 electronic resource (266 p.)

ISBN

books978-3-0365-2825-0
9783036528250
9783036528243

Access

Open Access