Aerodynamic Performance and Wind-Induced Responses of Large Wind Turbine Systems with Meso-Scale Typhoon Effects

The theoretical system of existing civil engineering typhoon models is too simplified and the simulation accuracy is very low. Therefore, in this work a meso-scale weather forecast model (WRF) based on the non-static Euler equation model was introduced to simulate typhoon “Nuri” with high spatial and temporal resolution, focusing on the comparison of wind direction and wind intensity characteristics before, during and after the landing of the typhoon. Moreover, the effectiveness of the meso-scale typhoon “Nuri” simulation was verified by a comparison between the track of the typhoon center based on minimum sea level pressure and the measured track. In this paper, the aerodynamic performance of large wind turbines under typhoon loads is studied using WRF and CFD nesting technology. A 5 MW wind turbine located in a wind power plant on the southeast coast of China has been chosen as the research object. The average and fluctuating wind pressure distributions as well as airflow around the tower body and eddy distribution on blade and tower surface were compared. A dynamic and time-historical analysis of wind-induced responses under different stop positions was implemented by considering the finite element complete transient method. The influence of the stop position on the wind-induced responses and wind fluttering factor of the system were analyzed. Finally, under a typhoon process, the most unfavorable stop position of the large wind turbine was concluded. The results demonstrated that the internal force and wind fluttering factor of the tower body increased significantly under the typhoon effect. The wind-induced response of the blade closest to the tower body was affected mostly. The wind fluttering factor of this blade was increased by 35%. It was concluded from the analysis that the large wind turbine was stopped during the typhoon. The most unfavorable stop position was at the complete overlapping of the lower blade and the tower body (Condition 1). The safety redundancy reached the maximum when the upper blade overlapped with the tower body completely (Condition 5). Therefore, it is suggested that during typhoons the blade of the wind turbine be rotated to Condition 5.

[1]  Y. Ge,et al.  Wind‐induced fatigue of large HAWT coupled tower–blade structures considering aeroelastic and yaw effects , 2018 .

[2]  Fernando Porté-Agel,et al.  Large-Eddy Simulation of Atmospheric Boundary-Layer Flow Through a Wind Farm Sited on Topography , 2017, Boundary-Layer Meteorology.

[3]  Stephen Dorling,et al.  Idealized WRF model sensitivity simulations of sea breeze types and their effects on offshore windfields , 2012 .

[4]  S. Y. Kim,et al.  Stratospheric Gravity Waves Generated by Typhoon Saomai (2006): Numerical Modeling in a Moving Frame Following the Typhoon , 2010 .

[5]  B. Geurts,et al.  Large-eddy simulation of the turbulent mixing layer , 1997, Journal of Fluid Mechanics.

[6]  Lin Zhao,et al.  Wind loads and load-effects of large scale wind turbine tower with different halt positions of blade , 2016 .

[7]  Eriko Tomokiyo,et al.  Simulation of Strong Wind Field by Non-hydrostatic Mesoscale Model and Its Applicability for Wind Hazard Assessment of Buildings and Houses , 2010 .

[8]  Yukio Tamura,et al.  Aerodynamic loads and aeroelastic responses of large wind turbine tower-blade coupled structure in yaw condition , 2015 .

[9]  Yijun Hou,et al.  Observations and Modeling of Typhoon Waves in the South China Sea , 2017 .

[10]  Charlotte Bay Hasager,et al.  Effectiveness of WRF wind direction for retrieving coastal sea surface wind from synthetic aperture radar , 2013 .

[11]  S. Zecchetto,et al.  A comparison of WRF model simulations with SAR wind data in two case studies of orographic lee waves over the Eastern Mediterranean Sea , 2013 .

[12]  Jan Ming Ko,et al.  Evaluation of typhoon induced fatigue damage for Tsing Ma Bridge , 2002 .

[13]  Trevor M. Young,et al.  Horizontal axis wind turbine research: A review of commercial CFD, FE codes and experimental practices , 2017 .

[14]  Anand Natarajan,et al.  Effects of normal and extreme turbulence spectral parameters on wind turbine loads , 2017 .

[15]  Yukio Tamura,et al.  Analysis of the effect of blade positions on the aerodynamic performances of wind turbine tower-blade system in halt states , 2017 .

[16]  M. Gómez-Gesteira,et al.  WRF wind simulation and wind energy production estimates forced by different reanalyses: Comparison with observed data for Portugal , 2014 .

[17]  Dimitrios Melas,et al.  Study of wind field under sea breeze conditions; an application of WRF model , 2010 .

[18]  Jinping Ou,et al.  Typhoon wind hazard analysis for southeast China coastal regions , 2011 .