Optimization and Energy Maximizing Control Systems for Wave Energy Converters
Material type:
TextLanguage: English Publication details: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022Description: 1 online resource (266 p.)Content type: - text
- computer
- online resource
- 9783036528243
- 9783036528250
- books978-3-0365-2825-0
- Technology: general issues
- absorbed power
- adaptive control
- array optimization
- arrays
- CaPex
- causal control
- control
- cost of energy
- CWR
- deep learning
- deep reinforcement learning
- energy-maximising control
- estimation
- experiments
- Froude-Krylov force
- genetic algorithm
- impedance-matching
- Kalman Filter
- Model Predictive Control
- n/a
- Neural Network
- nonlinear hydrodynamics
- nonlinear model
- nonlinear model predictive control
- nonlinear power take-off
- optimal control
- Optimal Control
- paramertic resonance
- PeWEC
- point absorber
- power take-off
- PTO sizing
- real-time detection
- recursive least squares
- reinforcement learning
- renewable energy systems
- scale test
- size optimization
- sliding mode control
- spectral control
- techno-economic optimisation
- techno-economic performance
- two degrees of freedom wave energy converter
- wave energy
- wave energy conversion
- wave energy converter
- Wave Energy Converter
- wave energy converters
- wave excitation forces
- wave tank
- wave-energy converter
- WECs
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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.
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https://creativecommons.org/licenses/by/4.0/
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