4.7 Article

High-resolution numerical simulation of the performance of vertical axis wind turbines in urban area: Part II, array of vertical axis wind turbines between buildings

Journal

RENEWABLE ENERGY
Volume 176, Issue -, Pages 25-39

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2021.05.011

Keywords

Vertical axis wind turbine; Urban area; Array; Building; Computational fluid dynamic

Funding

  1. National Natural Science Foundation of China of P.R. China [11902198, 51761135012]
  2. Center for High Performance Computing, Shanghai Jiao Tong University
  3. NASA/AISR project [NNG04GP79G]

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Vertical axis wind turbines can harvest wind energy from every direction, and are suitable for complex flow conditions in urban areas. By arranging wind turbines between two buildings, high-resolution numerical simulation methods were used to investigate the characteristics of wind turbines in arrays. The results show that arrays in contraction acceleration regions achieve maximum mean power coefficient, with type A arrays having an advantage due to asymmetric wakes.
Vertical axis wind turbines can harvest wind energy from every direction, and they are suitable for the complex flow conditions in urban areas. The flow field around buildings consists some high speed re-gions, and the blockage effect can provide higher wind velocity. Meanwhile, they can be installed at a certain altitude with no interference to pedestrians and vehicles. In this paper, we investigate the characteristics of wind turbines in an array by arranging them between two buildings. For this aim, a high-resolution numerical simulation method is adopted to simulate the accurate flow field and force coefficients. The high-resolution numerical simulation method is composed of adaptive mesh refinement and overset grid techniques. Firstly, there are two array types with wind turbines uniformly arranged in a line, which is perpendicular to the free stream. The result shows that array type A with asymmetric wake achieves a greater mean power coefficient. It reveals that the wake matching phenomenon of array type B causes a loss of wind energy between each couple. Secondly, five column positions between the two buildings are arranged in different positions. The five positions correspond to different flow conditions, and they belong to three typical processes: contraction acceleration process, uniform velocity process, and expansion deceleration process. When mounting array type A in contraction acceleration or expansion deceleration regions, the velocity profile is non-uniform along with the array. The power coefficients of wind turbines in one array are significantly different from each other. The array in the contraction acceleration region reaches the maximum mean power coefficient. Thirdly, in order to evaluate the influence of wind directions in urban area, there are four cases with different wind di-rections. The simulation results show that the array at alpha(infinity) = 15 degrees obtains the maximum mean power coefficient. In summary, the mean output power of the wind turbine array in urban areas is always greater than that of a single wind turbine. (C) 2021 Elsevier Ltd. All rights reserved.

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