Investigation of energy dissipation of an H-type vertical axis wind turbine based on entropy production theory

被引:10
|
作者
Tang, Qinghong [1 ]
Wu, Yuxin [1 ,2 ]
Yu, An [3 ]
Peng, Bin [4 ]
Wang, Yifu [3 ]
Lyu, Junfu [1 ]
机构
[1] Tsinghua Univ, Dept Energy & Power Engn, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Inst Carbon Neutral, Beijing 100084, Peoples R China
[3] Hohai Univ, Coll Energy & Elect Engn, Nanjing 211100, Peoples R China
[4] Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Peoples R China
基金
中国国家自然科学基金;
关键词
Vertical axis wind turbine; Entropy production theory; Power coefficient; Wake energy loss; Energy loss coefficient; GENERATION ANALYSIS; AERODYNAMIC FORCES; NUMBER; CYCLONE;
D O I
10.1016/j.enconman.2023.116953
中图分类号
O414.1 [热力学];
学科分类号
摘要
In vertical axis wind turbine (VAWT) research, amount studies have been conducted about the flow field around the blades, but the effect of blade tip vortex was not revealed clearly. The present study emphasized on the effect of blade tip vortex on energy loss in wake region and employed entropy production theory to determine where and how energy loss generates quantitatively. The numerical simulation was conducted for the VAWTs versus various tip speed ratio (TSR) conditions, and the numerical results were analyzed by entropy production method. The energy loss calculated by entropy production theory in VAWTs flows increases with TSR increasing. The distribution of entropy production rate (EPR) in wake region was asymmetrical due to the influence of blade tip vortex diffusion downstream and two fluctuation peaks appeared on EPR curves. The energy loss coefficient was defined to represent the energy deficit and kinetic energy recovery in wake region quantitatively. Generally, the energy loss coefficient was reduced to 0.1 between 8D to 9D in wake region and was equal to 0.1051 at x = 8D under optimal condition TSR = 2.19. The present study can guide configuration optimization of VAWTs to improve wind energy utilization and revenue of wind farms.
引用
收藏
页数:11
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