The utilization of geothermal energy through ground buried heat exchanger to provide heat source for buildings has become extremely attractive recent years in China and all over the world. As a key parameter that governs the prediction of the system performance, the effective thermal conductivity of the ground significantly affects the heat transfer process between buried pipes and surrounding rock-soil. This paper conducts a review on the methods of determining the effective thermal conductivities of different rock-soil types composed by various substances proposed in recent years. Based on the analysis of theoretical methods and experimental approaches applied to different rock-soil conditions and other relevant parameters such as the porosity, water content and material construction, etc., the applicabilities of various methods have been justified. According to the deficiencies of basic models, the improved models take into account the effects of the temperature, saturation degree, detailed structure of rock-soil and other parameters to improve the accuracy of prediction value. For certain types of rock-soil, the experimental approaches can provide more accurate results but are expensive and time consuming, which have sometimes been used to improve the accuracy or verify the results of improved model in the appropriate range of porosity and saturation degree for certain types of rocks. The concluding remarks would contribute to the estimation of the heat transfer performance of the buried heat exchanger during the prediction process.
Thermal conductivity of the geological material plays a critical role in the utilization of the geothermal energy, especially for the performance prediction of the buried heat exchanger. In this research, a packed-sphere model was established in order to study the spatial structure of the three-phase geological material after reviewing the actual components. The cubic cell element in the model was divided into four parallel parts, and the thermal resistance of each part was obtained using the soil physical parameters. To finally acquire the thermal conductivity of the model for certain type of geological material, the calculating method was carried out and realized through coding FORTRAN program. After comparison with previous results on three groups of quartz composed geological materials, the newly proposed model in this work was shown to be successful to forecast the thermal conductivity with around 20% overall relative error except extremely low saturation degree, which indicates that the prediction results of the model can support the performance analysis of the buried heat exchanger.
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