Optimization and Energy Maximizing Control Systems for Wave Energy Converters
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 effe...
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| Format: | Online |
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| Jezik: | engleski |
| Izdano: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Teme: | |
| Online pristup: | ONIX_20220224_9783036528250_5 |
| Oznake: |
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| _version_ | 1869521445503107072 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-78707 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-787072024-04-09T23:16:42Z Optimization and Energy Maximizing Control Systems for Wave Energy Converters Giorgi, Giuseppe Sirigu, Sergej Antonello 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 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. 2022-02-24T10:33:41Z 2022-02-24T10:33:41Z 2022 book ONIX_20220224_9783036528250_5 9783036528250 9783036528243 https://directory.doabooks.org/handle/20.500.12854/78707 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4796 https://mdpi.com/books/pdfview/book/4796 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-2825-0 10.3390/books978-3-0365-2825-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036528250 9783036528243 266 Basel open access |
| spellingShingle | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Optimization and Energy Maximizing Control Systems for Wave Energy Converters |
| title | Optimization and Energy Maximizing Control Systems for Wave Energy Converters |
| title_full | Optimization and Energy Maximizing Control Systems for Wave Energy Converters |
| title_fullStr | Optimization and Energy Maximizing Control Systems for Wave Energy Converters |
| title_full_unstemmed | Optimization and Energy Maximizing Control Systems for Wave Energy Converters |
| title_short | Optimization and Energy Maximizing Control Systems for Wave Energy Converters |
| title_sort | optimization and energy maximizing control systems for wave energy converters |
| topic | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | ONIX_20220224_9783036528250_5 |