A Short Review on the Time-Domain Numerical Simulations for Structural Responses in Horizontal-Axis Offshore Wind Turbines

Yang Ni, Bin Peng, Jiayao Wang (), Farshad Golnary and Wei Li
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Yang Ni: China Power Engineering Consulting Group Corporation Limited, Beijing 100120, China
Bin Peng: Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
Jiayao Wang: Department of Civil Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon 999077, Hong Kong
Farshad Golnary: Department of Civil and Environmental Engineering, University of New South Wales, Sydney, NSW 2052, Australia
Wei Li: Key Laboratory of Far-Shore Wind Power Technology of Zhejiang Province, Hangzhou 310014, China

Sustainability, 2023, vol. 15, issue 24, 1-19

Abstract: In addition to a carbon-neutral vision being recognized worldwide, the utilization of wind energies via horizontal-axis wind turbines, especially in offshore areas, has been intensively investigated from an academic perspective. Numerical simulations play a significant role in the design and optimization of offshore wind turbines. The current review focuses on studies concerning the numerical simulations of offshore wind turbine dynamics, including the modelling of the aerodynamic and hydrodynamic conditions of the environment and the reduced-order modelling of the wind turbine dynamic responses. In detail, the functions and mechanisms of each module in the numerical simulation of the wind turbine dynamics are articulated, which in turn demonstrates its importance for the design of offshore wind turbines, and hence the development of the offshore wind industry. Based on this review, it is argued that the vertical variations in wind velocities, the blade element momentum theory, the wave dynamic models, and the reduced-order model for structural dynamics are the major concerns for the numerical simulation of wind turbines. Consequently, such directions should be emphasized in future studies.

Keywords: dynamic response; floating wind turbine; numerical simulation; time domain (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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