Open Access

ARTICLE

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

by Hao Liu¹, Xiaoyang Zhang¹, Zhongjie Yan^1,*, Yingjian Yang^2,3, Qing’an Li^3,4,5, Chang Cai^3,4

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:

(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

Received 24 October 2021; Accepted 31 March 2022; Issue published 27 October 2022

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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Keywords

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