4.5 Article

Thermal response tests on deep boreholes through multiple ground layers

Journal

GEOTHERMICS
Volume 101, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.geothermics.2022.102371

Keywords

Ground thermal conductivity; Thermal response test; Ground heat exchanger; Geothermal gradient; Multiple ground layers

Ask authors/readers for more resources

A semi-analytical model has been developed for estimating design parameters of vertical boreholes and coupling them with heat pumps. The model is computationally efficient and capable of providing quick estimates of ground properties. It has been validated for coaxial boreholes and shows good accuracy with estimates within +/- 5% of the exact values.
Distributed thermal response tests (DTRTs) on vertical boreholes estimate design parameters, which are used in the coupling of these boreholes to heat pumps. A semi-analytical model of a DTRT has been developed that includes multiple ground layers and the geothermal gradient for deep boreholes. The model is computationally efficient, which allows quick estimates of ground properties when the model is linked with parameter estimation techniques. The study focuses on coaxial boreholes, which are the more likely geometry for deep boreholes, although the model also handles boreholes with U-tubes. The proposed model is validated against previous DTRT simulations with an independent numerical model. In the cases studied, the model estimates the mean ground thermal conductivity within +/- 5% of the exact value, while the uncertainty of the estimate is +/- 10% or +/- 0.2 W/ (m.K). The model identifies upward and downward increasing trends of thermal conductivity among ground layers. The estimates of ground thermal conductivity for individual layers have uncertainties as large as +/- 0.65 W/(m.K) under heat extraction cases in deep boreholes (800 m).

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available