Abstract

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.

Highlights

  • Along with the development of renewable and sustainable energy exploitation technology, the ample wind energy available over the sea has attracted attention from scientists, engineers, and policymakers [1]

  • To approach this dearth of modeling the wind–wave environment for potential floating wind farm sites located in the South China Sea, the simulating waves nearshore (SWAN) model is employed in the present study to simulate the wind-induced wave fields in the South China Sea under both typhoon and non-typhoon conditions

  • Considering the prevalence and the flexibility of the Joint North Sea Wave Project (JONSWAP) spectrum model in the offshore structure design, it is postulated that the JONSWAP spectrum model is applicable to show the structure design, it is postulated that the JONSWAP spectrum model is applicable to show wave field characteristics found in the South China Sea

Read more

Summary

Introduction

Along with the development of renewable and sustainable energy exploitation technology, the ample wind energy available over the sea has attracted attention from scientists, engineers, and policymakers [1]. Before the construction of floating wind farms, the designer should calculate the wind and wave loads acting on the floating foundations and on the turbine This explicit demand in turn requires engineering models depicting the characteristics of winds and waves observed in the. The present paper focuses on the wave spectrum model, another key factor in calculating the loads acting on an offshore wind turbine. The strong influence of bottom frictions may dissipate the wave energy rapidly, which make the wave characteristics different from the waves observed in deep-water areas To approach this dearth of modeling the wind–wave environment for potential floating wind farm sites located in the South China Sea, the simulating waves nearshore (SWAN) model is employed in the present study to simulate the wind-induced wave fields in the South China Sea under both typhoon and non-typhoon conditions.

Wave Spectrum Engineering Model
Numerical Simulation
Simulation Domain
Boundary and Initial
Model Set-Ups
Validation and Error Statistics
Validations in Time Domain
Simulation Reliability
Discussion on the Engineering Model
Post-Processing of the Simulation Results
Typhoon Condition
Non-Typhoon Condition
Values of as function of υυ for for normal condition condition from 1999
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.