Computational Fluid Dynamics Analysis on Radiation Error of Surface Air Temperature Measurement

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• 作者：Jie Yang ; Qing-Quan Liu ; Ren-Hui Ding
• 关键词：Computational fluid dynamics ; Naturally ventilated radiation shield ; Radiation error ; Surface air temperature
• 刊名：International Journal of Thermophysics
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：38
• 期：1
• 全文大小：1,129 KB
• 刊物类别：Physics and Astronomy
• 刊物主题：Physics
  Condensed Matter
  Mechanics
  Industrial Chemistry and Chemical Engineering
  Physical Chemistry
  
• 出版者：Springer Netherlands
• ISSN：1572-9567
• 卷排序：38

文摘

Due to solar radiation effect, current air temperature sensors inside a naturally ventilated radiation shield may produce a measurement error that is 0.8 K or higher. To improve air temperature observation accuracy and correct historical temperature of weather stations, a radiation error correction method is proposed. The correction method is based on a computational fluid dynamics (CFD) method and a genetic algorithm (GA) method. The CFD method is implemented to obtain the radiation error of the naturally ventilated radiation shield under various environmental conditions. Then, a radiation error correction equation is obtained by fitting the CFD results using the GA method. To verify the performance of the correction equation, the naturally ventilated radiation shield and an aspirated temperature measurement platform are characterized in the same environment to conduct the intercomparison. The aspirated temperature measurement platform serves as an air temperature reference. The mean radiation error given by the intercomparison experiments is 0.23 K, and the mean radiation error given by the correction equation is 0.2 K. This radiation error correction method allows the radiation error to be reduced by approximately 87 %. The mean absolute error and the root mean square error between the radiation errors given by the correction equation and the radiation errors given by the experiments are 0.036 K and 0.045 K, respectively.