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Modelling approaches to predicting thermal conductivity of soils at high temperatures
Author(s) -
Tarnawski V. R.,
Gori F.,
Wagner B.,
Buchan G. D.
Publication year - 2000
Publication title -
international journal of energy research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.808
H-Index - 95
eISSN - 1099-114X
pISSN - 0363-907X
DOI - 10.1002/(sici)1099-114x(200004)24:5<403::aid-er588>3.0.co;2-#
Subject(s) - thermal conductivity , soil water , environmental science , soil science , thermal , materials science , thermodynamics , composite material , physics
Three predictive models are tested against soil thermal conductivity data at high temperatures: two (deV‐1 and deV‐2) are modifications of the original de Vries model, and the third is the Gori model. Model deV‐1 results correlated very closely for 30, 50 and 70°C, and moderately close for 90°C. Generally, this model does not require the use of a mass transfer enhancement factor. The Gori model results correlated well at 30 and 50°C. Model deV‐2 results correlate well above field capacity, and provide the best predictions at full dryness. Model deV‐1 is recommended for computer modelling of heat and moisture movement in soils at high temperatures. Copyright © 2000 John Wiley & Sons, Ltd.