LAPSE:2019.0791
Published Article
LAPSE:2019.0791
Wind Profiles and Wave Spectra for Potential Wind Farms in South China Sea. Part II: Wave Spectrum Model
Yichao Liu, Sunwei Li, Qian Yi, Daoyi Chen
July 26, 2019
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.
Keywords
Joint North Sea Wave Project (JONSWAP) spectrum model, offshore wind farm, simulating waves nearshore (SWAN) simulation, South China Sea
Suggested Citation
Liu Y, Li S, Yi Q, Chen D. Wind Profiles and Wave Spectra for Potential Wind Farms in South China Sea. Part II: Wave Spectrum Model. (2019). LAPSE:2019.0791
Author Affiliations
Liu Y: Division of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China; School of Environment, Tsinghua University, Beijing 100084, China [ORCID]
Li S: Division of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
Yi Q: Division of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China; School of Environment, Tsinghua University, Beijing 100084, China
Chen D: Division of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China; School of Environment, Tsinghua University, Beijing 100084, China
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Journal Name
Energies
Volume
10
Issue
1
Article Number
E127
Year
2017
Publication Date
2017-01-20
Published Version
ISSN
1996-1073
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PII: en10010127, Publication Type: Journal Article
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LAPSE:2019.0791
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doi:10.3390/en10010127
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Jul 26, 2019
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Jul 26, 2019
 
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Jul 26, 2019
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Calvin Tsay
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