Li Zheng*, Qi Weiqiang and Han Ruihua Pages 166 - 174 ( 9 )
Background: The research on the wake will benefit the efficiency of wind turbines and the arrangement of wind turbines in wind power plant. It is an important subject of research in recent years, and the research on the wake of the vertical axis wind turbine is still at the exploratory stage. In the process of wake study, the classic Jensen wake model was proposed by Danish scientist N.O. Jensen in the 1980s.
Objective: In order to make a pave for further flow analysis and arrangement of multiple wind turbines. The patent of the Senegal-type vertical axis wind turbine studied in this paper was introduced and analyzed in detail. The patents of wake effect and the vertical axis wind turbine with other structures were also introduced and analyzed. A novel method of wake analysis was proposed for a Senegal-type vertical axis wind turbine (VAWT) based on improved Jensen wake model.
Methods: The wake parameters of the vertical axis wind turbine were analyzed combined with flow field analysis of ANSYS CFX software, and the numerical simulation of the novel wind turbine was carried out.
Results: The variation of wind speed, pressure, eddy viscosity, turbulent kinetic energy and turbulent dissipation rate was studied, and the results of the three-dimensional distribution of the wake parameters such as wind speed and pressure were derived.
Conclusion: The accuracy of the improved Jensen wake model was verified by the analysis of the wake parameters and the results show that the downstream of the VAWT produces a great wind velocity deficit, and the flow of the wind turbine on the downwind side is turbulence.
VAWT, Senegal-type, wake analysis, Jensen model, ANSYS CFX, numerical simulation.
School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018