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Simultaneous measurement of thermal properties by thermal probe using stochastic approximation method

Author

Listed:
  • Cheng, Wenlong
  • Ma, Ran
  • Xie, Kun
  • Liu, Na
  • Huang, Yonghua

Abstract

A novel thermal probe method is proposed for the simultaneous measurement of the thermal properties by the Monte Carlo stochastic approximation method. In this method, thermal capacity of probe and thermal contact resistance between probe and sample are considered. An experimental system is set up with the method to validate the measurement accuracy of the method. The thermal properties of several liquid samples as well as solid samples are measured. The results show that: (1) the thermal conductivity and the volumetric heat capacity can be measured with an error of less than 1.2% and 3% respectively, therefore, the measurement accuracy by the method is much higher than the conventional method and (2) the thermal contact resistance has a great effect on thermal conductivity for solid sample, while little influence on thermal conductivity for liquid sample and volumetric heat capacity.

Suggested Citation

  • Cheng, Wenlong & Ma, Ran & Xie, Kun & Liu, Na & Huang, Yonghua, 2011. "Simultaneous measurement of thermal properties by thermal probe using stochastic approximation method," Applied Energy, Elsevier, vol. 88(5), pages 1834-1840, May.
    • Handle: RePEc:eee:appene:v:88:y:2011:i:5:p:1834-1840
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    References listed on IDEAS

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    1. Batty, W. J. & O'Callaghan, P. W. & Probert, S. D., 1984. "Assessment of the thermal-probe technique for rapid, accurate measurements of effective thermal conductivities," Applied Energy, Elsevier, vol. 16(2), pages 83-113.
    2. Batty, W.J. & Probert, S.D. & Ball, M. & O'Callaghan, P.W., 1984. "Use of the thermal-probe technique for the measurement of the apparent thermal conductivities of moist materials," Applied Energy, Elsevier, vol. 18(4), pages 301-317.
    3. Goodhew, Steven & Griffiths, Richard, 2004. "Analysis of thermal-probe measurements using an iterative method to give sample conductivity and diffusivity data," Applied Energy, Elsevier, vol. 77(2), pages 205-223, February.
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    Cited by:

    1. Cheng, Wen-Long & Nian, Yong-Le & Li, Tong-Tong & Wang, Chang-Long, 2013. "Estimation of oil reservoir thermal properties through temperature log data using inversion method," Energy, Elsevier, vol. 55(C), pages 1186-1195.
    2. Nian, Yong-Le & Wang, Xiang-Yang & Xie, Kun & Cheng, Wen-Long, 2020. "Estimation of ground thermal properties for coaxial BHE through distributed thermal response test," Renewable Energy, Elsevier, vol. 152(C), pages 1209-1219.
    3. Cheng, Wen-Long & Huang, Yong-Hua & Liu, Na & Ma, Ran, 2012. "Estimation of geological formation thermal conductivity by using stochastic approximation method based on well-log temperature data," Energy, Elsevier, vol. 38(1), pages 21-30.
    4. Christodoulides, Paul & Florides, Georgios & Pouloupatis, Panayiotis, 2016. "A practical method for computing the thermal properties of a Ground Heat Exchanger," Renewable Energy, Elsevier, vol. 94(C), pages 81-89.
    5. Cheng, Wen-Long & Nian, Yong-Le & Li, Tong-Tong & Wang, Chang-Long, 2014. "A novel method for predicting spatial distribution of thermal properties and oil saturation of steam injection well from temperature logs," Energy, Elsevier, vol. 66(C), pages 898-906.

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    1. Goodhew, Steven & Griffiths, Richard, 2004. "Analysis of thermal-probe measurements using an iterative method to give sample conductivity and diffusivity data," Applied Energy, Elsevier, vol. 77(2), pages 205-223, February.
    2. Christodoulides, Paul & Florides, Georgios & Pouloupatis, Panayiotis, 2016. "A practical method for computing the thermal properties of a Ground Heat Exchanger," Renewable Energy, Elsevier, vol. 94(C), pages 81-89.

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