Dr. Haiying Sun is associate professor in South China University of Technology, and she aims to carry out research in wind turbine wake effect. Her innovative work on wake modelling has significantly advanced the field, providing valuable insights for optimizing wind farm layouts and improving energy yields. The wake model considers the spatial wind distribution, which helps to investigate the wake effect of wind farm in complex terrain. In order to further study the complex wake phenomena and validate the wake model, she designed and conducted two wind-field experiments in complex-terrain wind farms in Hebei Province and Shaanxi Province in China. The experimental data contribute to investigate the complicated wake characteristics, such as wake width, wake centerline, and wake interaction between wind turbines. The wake model has been improved by the experimental data and has been proven able to accurately describe the wake effect of hilly wind farms. Another major contribution of her previous research is the development of a wind turbine layout optimization method to minimize the energy loss of the entire wind farm caused by the wake effect. The optimization method is applicable to both onshore and offshore wind farms, and is more advanced than existing methods because it adopts the foundation repowering strategy for offshore wind turbines. The developed wake model has been integrated into the optimization method, which has improved the performance of the method.
Dr. Haiying Sun is associate professor in South China University of Technology, and she aims to carry out research in wind turbine wake effect. Her innovative work on wake modelling has significantly advanced the field, providing valuable insights for optimizing wind farm layouts and improving energy yields. The wake model considers the spatial wind distribution, which helps to investigate the wake effect of wind farm in complex terrain. In order to further study the complex wake phenomena and validate the wake model, she designed and conducted two wind-field experiments in complex-terrain wind farms in Hebei Province and Shaanxi Province in China. The experimental data contribute to investigate the complicated wake characteristics, such as wake width, wake centerline, and wake interaction between wind turbines. The wake model has been improved by the experimental data and has been proven able to accurately describe the wake effect of hilly wind farms. Another major contribution of her previous research is the development of a wind turbine layout optimization method to minimize the energy loss of the entire wind farm caused by the wake effect. The optimization method is applicable to both onshore and offshore wind farms, and is more advanced than existing methods because it adopts the foundation repowering strategy for offshore wind turbines. The developed wake model has been integrated into the optimization method, which has improved the performance of the method.