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Research on Representative Engineering Applications of Anemometer Towers Location in Complex Topography Wind Resource Assessment

Hao Liu1, Xiaoyang Zhang1, Zhongjie Yan1,*, Yingjian Yang2,3, Qing’an Li3,4,5, Chang Cai3,4

1 CSSC Windpower Development Co., Ltd., Beijing, 100097, China
2 School of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot, 010051, China
3 Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing, 100190, China
4 Key Laboratory of Wind Energy Utilization, Chinese Academy of Sciences, Beijing, 100190, China
5 University of Chinese Academy of Sciences, Beijing, 100049, China

* Corresponding Author: Zhongjie Yan. Email: email

(This article belongs to the Special Issue: Wind Energy Development and Utilization)

Energy Engineering 2023, 120(1), 163-179. https://doi.org/10.32604/ee.2022.019927

Abstract

The typical location and number of anemometer towers in the assessed area are the key to the accuracy of wind resource assessment in complex topography. As calculation examples, this paper used two typical complex topography wind farms in Guangxi, Yunnan province in China. Firstly, we simulated the wind resource status of the anemometer tower in the Meteodyn WT software. Secondly, we compared the simulated wind resource with the actual measured data by the anemometer tower in the same situation. Thirdly, we analyzed the influence of anemometer tower location and quantity in the accuracy of wind resource assessment through the comparison results. The results showed that the range which the anemometer tower can represent is limited (<5 kilometers), and the prediction error more than 5%. Besides, the anemometer towers in special terrain areas (such as wind acceleration areas) cannot be used as a representative choice. The relative error of the simulated average annual wind speed by choose different number of anemometer towers is about 4%, and the grid-connected power generation more than 6%. The representative effect of anemometer towers is of crucial for improving the accuracy of wind resource assessment in engineering applications.

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APA Style
Liu, H., Zhang, X., Yan, Z., Yang, Y., Li, Q. et al. (2023). Research on representative engineering applications of anemometer towers location in complex topography wind resource assessment. Energy Engineering, 120(1), 163-179. https://doi.org/10.32604/ee.2022.019927
Vancouver Style
Liu H, Zhang X, Yan Z, Yang Y, Li Q, Cai C. Research on representative engineering applications of anemometer towers location in complex topography wind resource assessment. Energ Eng. 2023;120(1):163-179 https://doi.org/10.32604/ee.2022.019927
IEEE Style
H. Liu, X. Zhang, Z. Yan, Y. Yang, Q. Li, and C. Cai "Research on Representative Engineering Applications of Anemometer Towers Location in Complex Topography Wind Resource Assessment," Energ. Eng., vol. 120, no. 1, pp. 163-179. 2023. https://doi.org/10.32604/ee.2022.019927



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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