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RSS FeedsEnergies, Vol. 15, Pages 7268: Measuring and Predicting the In-Ground Temperature Profile for Geothermal Energy Systems in the Desert of Arid Regions (Energies)

 
 

3 october 2022 15:04:05

 
Energies, Vol. 15, Pages 7268: Measuring and Predicting the In-Ground Temperature Profile for Geothermal Energy Systems in the Desert of Arid Regions (Energies)
 


Instead of fossil fuels, clean renewable energy resources are being used to meet space heating and cooling needs, to reduce global warming and air pollution worldwide. In the desert of the Arabian Peninsula, extensive solar irradiance and drastic variations in air temperatures (daily and/or seasonally) are common; thus, geothermal energy resources are a promising solution that is nearly independent of weather fluctuations. Due to a lack of information about in-ground temperature profiles in these regions, the use of geothermal energy resources for domestic applications is very limited. Therefore, this study aimed to measure the in-ground temperature (Tg) up to 3.5 m in depth for one year. Due to the difficulty of digging in the ground (i.e., gravelly sand; rocky, dry soil), numerical equations were adopted and used to simulate the in-ground temperature (Tg) for a depth > 3 m. These equations were validated by comparing the measured and simulated values of Tg for depths ≤ 3 m under extreme weather conditions. The validation yielded a mean absolute error (EMA) of ≤ 1.2 °C and a root mean square error (ERMS) of ≤ 1.42 °C. The measurements showed that at 3 m depth, the in-ground temperature was 32 °C in summer and 29 °C in winter. The simulation showed that values of Tg increased with depth in winter and decreased in summer and became constant as 30 °C at 13 m depth throughout the year (i.e., the undisturbed ground temperature (UGT)). This temperature would provide considerable heating and cooling capacity if an earth-to-air heat exchanger were implemented in arid regions where ambient temperatures exceed 47 °C on summer days and drop below 10 °C on winter nights. The theoretical prediction of Tg using the proposed equations is a useful tool for designers who use geothermal effects for indoor space cooling and heating in the desert of arid regions.


 
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