Wind and Wave Energy Resource Assessment and Combined Utilization

The utilization of marine renewable energy, such as wind and wave energy resources, has become a global trend. Wind energy, wave energy, and especially wind-wave combinations are becoming more promising for the development and utilization of marine renewable energy in the future. This reprint contai...

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語言:英语
出版: MDPI - Multidisciplinary Digital Publishing Institute 2025
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collection Directory of Open Access Books
description The utilization of marine renewable energy, such as wind and wave energy resources, has become a global trend. Wind energy, wave energy, and especially wind-wave combinations are becoming more promising for the development and utilization of marine renewable energy in the future. This reprint contains empirical studies and systematic reviews regarding the utilization of marine renewable energies. It includes a multi-floater wave energy converter (WEC), size optimization of WEC, optimized control of an ocean WEC System, machine learning and deep learning for modelling an offshore hybrid wind-wave energy system, and other topics.
format Online
id doab-20.500.12854ir-152978
institution Directory of Open Access Books
language eng
publishDate 2025
publishDateRange 2025
publishDateSort 2025
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-1529782025-02-20T13:22:32Z Wind and Wave Energy Resource Assessment and Combined Utilization He, Guanghua Sun, Liang Bao, Yan wind speed extrapolation power-law machine learning supervised learning mesoscale model wind energy energy production assessment new european wind atlas random forest support vector machines linear regression multi-floater WEC platform potential flow theory numerical simulation wave energy floating wind-wave power generation platform WEC wave power conversion efficiency viscous heaving damping correction motion model ocean wave energy buoy efficiency optimize control wind–wave combined current energy vortex-induced vibration cylindrical oscillator mass ratio renewable energy artificial intelligence comparative analysis wind turbine energy deep learning big data wave power offshore offshore wind energy site selection multi-criteria decision-making resource assessment restrictions evaluation criteria climate change wind speed wind trend clustering Ward’s method k-means ocean wave height data fitting predication method ocean wave energy conversion wingsail apparent wind angle camber thrust coefficient thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PG Astronomy, space and time The utilization of marine renewable energy, such as wind and wave energy resources, has become a global trend. Wind energy, wave energy, and especially wind-wave combinations are becoming more promising for the development and utilization of marine renewable energy in the future. This reprint contains empirical studies and systematic reviews regarding the utilization of marine renewable energies. It includes a multi-floater wave energy converter (WEC), size optimization of WEC, optimized control of an ocean WEC System, machine learning and deep learning for modelling an offshore hybrid wind-wave energy system, and other topics. 2025-02-20T13:22:30Z 2025-02-20T13:22:30Z 2024 book ONIX_20250220_9783725825813_342 9783725825813 9783725825820 https://directory.doabooks.org/handle/20.500.12854/152978 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/10192 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-2582-0 10.3390/books978-3-7258-2582-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725825813 9783725825820 198 Basel open access
spellingShingle wind speed extrapolation
power-law
machine learning
supervised learning
mesoscale model
wind energy
energy production assessment
new european wind atlas
random forest
support vector machines
linear regression
multi-floater WEC platform
potential flow theory
numerical simulation
wave energy
floating wind-wave power generation platform
WEC
wave power conversion efficiency
viscous heaving damping correction
motion model
ocean wave energy
buoy
efficiency
optimize control
wind–wave combined
current energy
vortex-induced vibration
cylindrical oscillator
mass ratio
renewable energy
artificial intelligence
comparative analysis
wind turbine
energy
deep learning
big data
wave power
offshore
offshore wind energy
site selection
multi-criteria decision-making
resource assessment
restrictions
evaluation criteria
climate change
wind speed
wind trend
clustering
Ward’s method
k-means
ocean wave height
data fitting
predication method
ocean wave energy conversion
wingsail
apparent wind angle
camber
thrust coefficient
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::P Mathematics and Science::PG Astronomy, space and time
Wind and Wave Energy Resource Assessment and Combined Utilization
title Wind and Wave Energy Resource Assessment and Combined Utilization
title_full Wind and Wave Energy Resource Assessment and Combined Utilization
title_fullStr Wind and Wave Energy Resource Assessment and Combined Utilization
title_full_unstemmed Wind and Wave Energy Resource Assessment and Combined Utilization
title_short Wind and Wave Energy Resource Assessment and Combined Utilization
title_sort wind and wave energy resource assessment and combined utilization
topic wind speed extrapolation
power-law
machine learning
supervised learning
mesoscale model
wind energy
energy production assessment
new european wind atlas
random forest
support vector machines
linear regression
multi-floater WEC platform
potential flow theory
numerical simulation
wave energy
floating wind-wave power generation platform
WEC
wave power conversion efficiency
viscous heaving damping correction
motion model
ocean wave energy
buoy
efficiency
optimize control
wind–wave combined
current energy
vortex-induced vibration
cylindrical oscillator
mass ratio
renewable energy
artificial intelligence
comparative analysis
wind turbine
energy
deep learning
big data
wave power
offshore
offshore wind energy
site selection
multi-criteria decision-making
resource assessment
restrictions
evaluation criteria
climate change
wind speed
wind trend
clustering
Ward’s method
k-means
ocean wave height
data fitting
predication method
ocean wave energy conversion
wingsail
apparent wind angle
camber
thrust coefficient
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::P Mathematics and Science::PG Astronomy, space and time
topic_facet wind speed extrapolation
power-law
machine learning
supervised learning
mesoscale model
wind energy
energy production assessment
new european wind atlas
random forest
support vector machines
linear regression
multi-floater WEC platform
potential flow theory
numerical simulation
wave energy
floating wind-wave power generation platform
WEC
wave power conversion efficiency
viscous heaving damping correction
motion model
ocean wave energy
buoy
efficiency
optimize control
wind–wave combined
current energy
vortex-induced vibration
cylindrical oscillator
mass ratio
renewable energy
artificial intelligence
comparative analysis
wind turbine
energy
deep learning
big data
wave power
offshore
offshore wind energy
site selection
multi-criteria decision-making
resource assessment
restrictions
evaluation criteria
climate change
wind speed
wind trend
clustering
Ward’s method
k-means
ocean wave height
data fitting
predication method
ocean wave energy conversion
wingsail
apparent wind angle
camber
thrust coefficient
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::P Mathematics and Science::PG Astronomy, space and time
url ONIX_20250220_9783725825813_342