Development of a Simplified Regression Equation for Predicting Underground Temperature Distributions in Korea

The Korea Meteorological Administration (KMA) measures outdoor temperature and ground surface temperature at 95 observation points, but monthly ground temperatures by depth, which are important for using geothermal heat, are only provided for nine points. Since the ground temperature is known in the...

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Bibliographic Details
Published in:Energies (Basel) 2018-11, Vol.11 (11), p.2894
Main Authors: Cho, Sung-Woo, Ihm, Pyeongchan
Format: Article
Language:English
Subjects:
Architectural engineering
Contractors
Diffusivity
Energy
Geothermal power
ground temperature distribution
Heat exchangers
Investigations
Korea Meteorological Administration
Parameter estimation
Phase lag
Physical properties
regression equation
Surface temperature
Temperature
Temperature profiles
Temperature requirements
Thermal diffusivity
Ventilation
Weather
weather data
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Summary:The Korea Meteorological Administration (KMA) measures outdoor temperature and ground surface temperature at 95 observation points, but monthly ground temperatures by depth, which are important for using geothermal heat, are only provided for nine points. Since the ground temperature is known in the vicinity of only nine observation points, it is very difficult to predict underground temperature in the field. This study develops a simplified regression equation for predicting underground temperature distributions, compares the prediction results with the experimental data of Korea’s representative areas and the data measured in this study, and examines the validity of the developed regression equation. The regression equation for predicting temperature amplitudes at ground depths of 1.0, 3.0, and 5.0 m was derived using the amplitude ratio of outdoor temperature and surface temperature provided by KMA at nine points in Korea from 2006 to 2015. The coefficient of determination was as high as 0.93 (95% confidence level). In addition, the field-measured ground temperature distribution at a depth of 3 m was in good agreement with the predicted ground temperature distribution in Changwon districts for the whole of 2017.
ISSN:1996-1073
1996-1073
DOI:10.3390/en11112894