Analytical Model to Predict Annual Soil Surface Temperature Variation

[+] Author and Article Information
M. Krarti, C. Lopez-Alonzo, J. F. Kreider

Joint Center for Energy Management, CEAE Department, University of Colorado, Boulder, CO 80309-0428

D. E. Claridge

Department of Mechanical Engineering, Texas A & M University, College Station, TX 77843-3123

J. Sol. Energy Eng 117(2), 91-99 (May 01, 1995) (9 pages) doi:10.1115/1.2870881 History: Received April 09, 1993; Revised August 15, 1994; Online February 14, 2008


An analytical model is developed to predict the annual variation of soil surface temperature from readily available weather data and soil thermal properties. The time variation is approximated by a first harmonic function characterized by an average, an amplitude, and a phase lag. A parametric analysis is presented to determine the effect of various factors such as evaporation, soil absorptivity, and soil convective properties on soil surface temperature. A comparison of the model predictions with experimental data is presented. The comparative analysis indicates that the simplified model predicts soil surface temperatures within ten percent of measured data for five locations.

Copyright © 1995 by The American Society of Mechanical Engineers
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