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

被引:12
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
相关论文
共 27 条
[1]   PIV measurements over a double bladed Darrieus-type vertical axis wind turbine: A validation benchmark [J].
Arpino, F. ;
Cortellessa, G. ;
Scungio, M. ;
Fresilli, G. ;
Facci, A. ;
Frattolillo, A. .
FLOW MEASUREMENT AND INSTRUMENTATION, 2021, 82
[2]   Optimization of a vertical axis wind turbine with a deflector under unsteady wind conditions via Taguchi and neural network applications [J].
Chen, Wei-Hsin ;
Wang, Jhih-Syun ;
Chang, Min-Hsing ;
Kwon, Eilhann E. ;
Ashokkumar, Veeramuthu ;
Hoang, Anh Tuan ;
Lam, Su Shiung .
ENERGY CONVERSION AND MANAGEMENT, 2022, 254
[3]   The flow pattern and entropy generation in an axial inlet cyclone with reflux cone and gaps in the vortex finder [J].
Duan, Lu ;
Wu, Xiaolin ;
Ji, Zhongli ;
Xiong, Zhiyi ;
Zhuang, Jingxian .
POWDER TECHNOLOGY, 2016, 303 :192-202
[4]   Entropy generation analysis on cyclone separators with different exit pipe diameters and inlet dimensions [J].
Duan, Lu ;
Wu, Xiaolin ;
Ji, Zhongli ;
Fang, Qixian .
CHEMICAL ENGINEERING SCIENCE, 2015, 138 :622-633
[5]   Numerical evaluation of entropy generation in isolated airfoils and Wells turbines [J].
Ghisu, Tiziano ;
Cambuli, Francesco ;
Puddu, Pierpaolo ;
Mandas, Natalino ;
Seshadri, Pranay ;
Parks, Geoffrey T. .
MECCANICA, 2018, 53 (14) :3437-3456
[6]   Flow control for high-solidity vertical axis wind turbine based on adaptive flap [J].
Hao, Wenxing ;
Bashir, Musa ;
Li, Chun ;
Sun, Chengda .
ENERGY CONVERSION AND MANAGEMENT, 2021, 249
[7]   A New Renewable Energy Index [J].
Hashim, Ibrahim Jawad .
2021 6TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY: GENERATION AND APPLICATIONS (ICREGA), 2021, :229-232
[8]   Direct and indirect methods of calculating entropy generation rates in turbulent convective heat transfer problems [J].
Herwig, H. ;
Kock, F. .
HEAT AND MASS TRANSFER, 2007, 43 (03) :207-215
[9]   Local entropy production in turbulent shear flows: a high-Reynolds number model with wall functions [J].
Kock, F ;
Herwig, H .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2004, 47 (10-11) :2205-2215
[10]   Three-dimensional Improved Delayed Detached Eddy Simulation of a two-bladed vertical axis wind turbine [J].
Lei, Hang ;
Zhou, Dai ;
Bao, Yan ;
Li, Ye ;
Han, Zhaolong .
ENERGY CONVERSION AND MANAGEMENT, 2017, 133 :235-248