Wind Profiles and Wave Spectra for Potential Wind Farms in South China Sea. Part II: Wave Spectrum Model

Along with the commercialization of offshore wind energy in China, the South China Sea has been identified as ideal for constructing offshore wind farms, especially for farms consisting of floating wind turbines over deep waters. Since the wind profiles and wave spectra are somewhat primitive for th...

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Main Authors: Yichao Liu, Sunwei Li, Qian Yi, Daoyi Chen
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/10/1/127
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author Yichao Liu
Sunwei Li
Qian Yi
Daoyi Chen
author_facet Yichao Liu
Sunwei Li
Qian Yi
Daoyi Chen
author_sort Yichao Liu
collection DOAJ
description Along with the commercialization of offshore wind energy in China, the South China Sea has been identified as ideal for constructing offshore wind farms, especially for farms consisting of floating wind turbines over deep waters. Since the wind profiles and wave spectra are somewhat primitive for the design of an offshore wind turbine, engineering models describing the wind and wave characteristics in the South China Sea area are necessary for the offshore wind energy exploitation given the meteorological, hydrological, and geographical differences between the South China Sea and the North/Norwegian Sea, where the commonly used wind profile and wave spectrum models were designated. In the present study; a series of numerical simulations were conducted to reveal the wave characteristics in the South China Sea under both typhoon and non-typhoon conditions. By analyzing the simulation results; the applicability of the Joint North Sea Wave Project (JONSWAP) spectrum model; in terms of characterizing the wind-induced wave fields in the South China Sea; was discussed. In detail; the key parameters of the JONSWAP spectrum model; such as the Phillips constant; spectral width parameter; peak-enhancement factor, and high frequency tail decay; were investigated in the context of finding suitable values.
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spelling doaj.art-6269c4aa332846cda6865b71077a402c2022-12-22T02:17:59ZengMDPI AGEnergies1996-10732017-01-0110112710.3390/en10010127en10010127Wind Profiles and Wave Spectra for Potential Wind Farms in South China Sea. Part II: Wave Spectrum ModelYichao Liu0Sunwei Li1Qian Yi2Daoyi Chen3Division of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, ChinaDivision of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, ChinaDivision of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, ChinaDivision of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, ChinaAlong with the commercialization of offshore wind energy in China, the South China Sea has been identified as ideal for constructing offshore wind farms, especially for farms consisting of floating wind turbines over deep waters. Since the wind profiles and wave spectra are somewhat primitive for the design of an offshore wind turbine, engineering models describing the wind and wave characteristics in the South China Sea area are necessary for the offshore wind energy exploitation given the meteorological, hydrological, and geographical differences between the South China Sea and the North/Norwegian Sea, where the commonly used wind profile and wave spectrum models were designated. In the present study; a series of numerical simulations were conducted to reveal the wave characteristics in the South China Sea under both typhoon and non-typhoon conditions. By analyzing the simulation results; the applicability of the Joint North Sea Wave Project (JONSWAP) spectrum model; in terms of characterizing the wind-induced wave fields in the South China Sea; was discussed. In detail; the key parameters of the JONSWAP spectrum model; such as the Phillips constant; spectral width parameter; peak-enhancement factor, and high frequency tail decay; were investigated in the context of finding suitable values.http://www.mdpi.com/1996-1073/10/1/127offshore wind farmJoint North Sea Wave Project (JONSWAP) spectrum modelSouth China Seasimulating waves nearshore (SWAN) simulation
spellingShingle Yichao Liu
Sunwei Li
Qian Yi
Daoyi Chen
Wind Profiles and Wave Spectra for Potential Wind Farms in South China Sea. Part II: Wave Spectrum Model
Energies
offshore wind farm
Joint North Sea Wave Project (JONSWAP) spectrum model
South China Sea
simulating waves nearshore (SWAN) simulation
title Wind Profiles and Wave Spectra for Potential Wind Farms in South China Sea. Part II: Wave Spectrum Model
title_full Wind Profiles and Wave Spectra for Potential Wind Farms in South China Sea. Part II: Wave Spectrum Model
title_fullStr Wind Profiles and Wave Spectra for Potential Wind Farms in South China Sea. Part II: Wave Spectrum Model
title_full_unstemmed Wind Profiles and Wave Spectra for Potential Wind Farms in South China Sea. Part II: Wave Spectrum Model
title_short Wind Profiles and Wave Spectra for Potential Wind Farms in South China Sea. Part II: Wave Spectrum Model
title_sort wind profiles and wave spectra for potential wind farms in south china sea part ii wave spectrum model
topic offshore wind farm
Joint North Sea Wave Project (JONSWAP) spectrum model
South China Sea
simulating waves nearshore (SWAN) simulation
url http://www.mdpi.com/1996-1073/10/1/127
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AT sunweili windprofilesandwavespectraforpotentialwindfarmsinsouthchinaseapartiiwavespectrummodel
AT qianyi windprofilesandwavespectraforpotentialwindfarmsinsouthchinaseapartiiwavespectrummodel
AT daoyichen windprofilesandwavespectraforpotentialwindfarmsinsouthchinaseapartiiwavespectrummodel