Technical Papers
Jun 14, 2017

Anemometer Positioning Optimization for Flow Field Calculation in Wind Farm

Publication: Journal of Energy Engineering
Volume 143, Issue 5

Abstract

In a wind farm, the wind data of the anemometers are used to evaluate the local wind resource. The position of the anemometer in a wind farm influences the wind resource evaluation significantly. In this paper, the position optimization of the anemometer related to flow field simulation of a wind farm is studied. The computational fluid dynamics method is introduced for airflow simulation. Based on the similarity of the flow field and the wind data of a single anemometer in the wind farm, a residual correction method is introduced to determine the boundary wind speeds and the flow field of the wind farm. Subsequently, a performance index is proposed through analyzing the characteristics of the residual correction method, acting as the optimization principle for anemometer positioning. The effectiveness of the performance index is tested by a case on a randomly generated terrain and a case with measured wind data in a real wind farm. The results indicate that the best anemometer position after optimization is not the one with highest elevation. Furthermore, the wind data of the optimized anemometer position can help to improve the numerical flow field results as well as saving much computational cost compared to the one with highest elevation. It is suggested that the proposed performance index can be used as the guidance for the anemometer positioning when designing a wind farm.

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Acknowledgments

The measured wind data of the anemometers in the real wind farm are provided by China HuaDian Corporation. This research is supported by the National Natural Science Foundation of China (Grant No. 51506056), the Program for Young Excellent Talent in Tongji University (No. 2014KJ025), and the International Scientific and Technological Cooperation Program of China (No. 2011DFG13020).

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Published In

Go to Journal of Energy Engineering
Journal of Energy Engineering
Volume 143Issue 5October 2017

History

Received: Sep 30, 2016
Accepted: Mar 20, 2017
Published online: Jun 14, 2017
Published in print: Oct 1, 2017
Discussion open until: Nov 14, 2017

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Authors

Affiliations

Kai Chen
Key Laboratory of Enhanced Heat Transfer and Energy Conservation of the Ministry of Education, School of Chemistry and Chemical Engineering, South China Univ. of Technology, Guangzhou 510640, Guangdong, P.R. China.
Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Dept. of Engineering Mechanics, Tsinghua Univ., Beijing 100084, P.R. China (corresponding author). E-mail: [email protected]
Mengxuan Song
Dept. of Control Science and Engineering, Tongji Univ., Shanghai 201804, P.R. China.
Zhongyang He
Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Dept. of Engineering Mechanics, Tsinghua Univ., Beijing 100084, P.R. China.

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