The Primary and Secondary Analysis of Uncertain Factors in Soil Thermal Properties for GSHP

Article Preview

Abstract:

In this paper, at first, an effective soil thermal conductivity model was established. Single factor regression analysis for 6 uncertain factors contained in the model was then conducted respectively. Finally, the primary and secondary characters of these uncertain factors were analyzed by using the orthogonal test. The analysis results show that the effective soil thermal conductivity has linear relationships with the saturation degree of unsaturated soil and the depth of water table and has power function relationships with other 4 uncertain factors; the porosity of unsaturated soil has the greatest effect on the effective soil thermal properties, followed by saturation degree of unsaturated soil, porosity of saturated soil, solid phase thermal conductivity of unsaturated soil, solid phase thermal conductivity of saturated soil and the depth of water table.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 614-615)

Pages:

688-694

Citation:

Online since:

December 2012

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Hwang Suckho, Ooka Ryozo, Nam Yujin. Renewable Energy, 2010, 35(9): 2123-2130.

Google Scholar

[2] Chandrakanthi M., Mehrotra A. K., Hettiaratchi J. P. A. Environmental Pollution, 2005, 136(1): 167-174.

Google Scholar

[3] Rees S. W., Adjali M. H., Zhou Z.et al. Renewable and Sustainable Energy Reviews, 2000, 4(3): 213-265.

Google Scholar

[4] Rees S. W., Zhou Z., Thomas H. R. Building and Environment, 2001, 36(2): 157-165.

Google Scholar

[5] Chen X., Fan R., Long H.et al. Journal of Refrigeration, 2010, 31(2): 11-16.

Google Scholar

[6] Gao Y.. Design method of orthogonal test [M]. Beijing: Metallurgical Industry Press, (1988)

Google Scholar