Effect of geological stratification on estimated accuracy of ground thermal parameters in thermal response test

2022 ◽  
Author(s):  
Changxing Zhang ◽  
Jiahui Lu ◽  
Xinjie Wang ◽  
Hang Xu ◽  
Shicai Sun
Keyword(s):  
Thermal Response ◽  
Thermal Parameters ◽  
Thermal Response Test ◽  
Response Test

scholarly journals A Novel Approach to the Analysis of Thermal Response Test (TRT) with Interrupted Power Input

Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5033
Author(s):  
Jin Luo ◽  
Yuhao Zhang ◽  
Jiasheng Tuo ◽  
Wei Xue ◽  
Joachim Rohn ◽  
...  
Keyword(s):  
Thermal Response ◽  
Power Input ◽  
Source Model ◽  
Thermal Parameters ◽  
Time Interval ◽  
Superposition Method ◽  
Thermal Response Test ◽  
Response Test ◽  
Novel Approach

The quality of measuring datasets of the thermal response test (TRT) significantly influences the interpretation of borehole thermal parameters (BTP). A thermal response test with an unstable power input may induce an unacceptable error in the estimation of the borehole thermal parameters. This paper proposes a novel approach to treat the dataset with interrupted power input. In this approach, the test records were segmented into several subsections with a constant time interval of 100 min, 60 min, and 30 min, separately. The quality of each data section was assessed and analyzed. Then, two algorithms, including the continuous algorithm and semi-superposition algorithm, were developed. The results estimated by the linear source model (LSM) were compared with one Thermal response test datasets with a stable power input at the same testing site. It shows that the effects of power interruption during the test can be effectively mitigated by deploying both the continuous and semi-superposition methods. The lowest deviation of the calculated thermal conductivity to a thermal response test with stable power input was 2.8% in the continuous method and 0.9% using the semi-superposition method. Thus, the proposed approaches are effective measures to mitigate the effects of interrupted power input on the interpretation of the thermal properties of the ground.

scholarly journals Multidisciplinary Approaches for Assessing a High Temperature Borehole Thermal Energy Storage Facility at Linköping, Sweden

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4379
Author(s):  
Max Hesselbrandt ◽  
Mikael Erlström ◽  
Daniel Sopher ◽  
Jose Acuna
Keyword(s):  
Thermal Properties ◽  
High Temperature ◽  
Energy Storage ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Thermal Response ◽  
Site Investigation ◽  
Thermal Response Test ◽  
Response Test ◽  
Crystalline Bedrock

Assessing the optimal placement and design of a large-scale high temperature energy storage system in crystalline bedrock is a challenging task. This study applies and evaluates various methods and strategies for pre-site investigation for a potential high temperature borehole thermal energy storage (HT-BTES) system at Linköping in Sweden. The storage is required to shift approximately 70 GWh of excess heat generated from a waste incineration plant during the summer to the winter season. Ideally, the site for the HT-BTES system should be able to accommodate up to 1400 wells to 300 m depth. The presence of major fracture zones, high groundwater flow, anisotropic thermal properties, and thick Quaternary overburden are all factors that play an important role in the performance of an HT-BTES system. Inadequate input data to the modeling and design increases the risk of unsatisfactory performance, unwanted thermal impact on the surroundings, and suboptimal placement of the HT-BTES system, especially in a complex crystalline bedrock setting. Hence, it is crucial that the subsurface geological conditions and associated thermal properties are suitably characterized as part of pre-investigation work. In this study, we utilize a range of methods for pre-site investigation in the greater Distorp area, in the vicinity of Linköping. Ground geophysical methods, including magnetic and Very Low-Frequency (VLF) measurements, are collected across the study area together with outcrop observations and lab analysis on rock samples. Borehole investigations are conducted, including Thermal Response Test (TRT) and Distributed Thermal Response Test (DTRT) measurements, as well as geophysical wireline logging. Drone-based photogrammetry is also applied to characterize the fracture distribution and orientation in outcrops. In the case of the Distorp site, these methods have proven to give useful information to optimize the placement of the HT-BTES system and to inform design and modeling work. Furthermore, many of the methods applied in the study have proven to require only a fraction of the resources required to drill a single well, and hence, can be considered relatively efficient.

Ground thermal conductivity estimation using the thermal response test with a horizontal ground heat exchanger

Geothermics ◽  
2021 ◽  
Vol 96 ◽  
pp. 102213
Author(s):  
Esteban Urresta ◽  
Marcelo Moya ◽  
Carlos Campana ◽  
Carlos Cruz
Keyword(s):  
Thermal Conductivity ◽  
Heat Exchanger ◽  
Thermal Response ◽  
Ground Heat Exchanger ◽  
Thermal Response Test ◽  
Response Test

scholarly journals Comprehensive application of hydrogeological survey and in-situ thermal response test

2021 ◽  
pp. 101287
Author(s):  
Wei Song ◽  
Ziteng Li ◽  
Yue Jin ◽  
Bo Zhang ◽  
Tuanfeng Zheng
Keyword(s):  
Thermal Response ◽  
Thermal Response Test ◽  
Response Test

How to correct the ambient temperature influence on the thermal response test results

2015 ◽  
Vol 82 ◽  
pp. 39-47 ◽  
Author(s):  
Roque Borinaga-Treviño ◽  
Jose Norambuena-Contreras ◽  
Daniel Castro-Fresno
Keyword(s):  
Ambient Temperature ◽  
Thermal Response ◽  
Thermal Response Test ◽  
Test Results ◽  
Temperature Influence ◽  
Response Test

scholarly journals The analysis of the differences between the results of the thermal response test and the data from the operation of the brine-to-water heat pump’s vertical exchanger

2017 ◽  
Vol 22 ◽  
pp. 00045 ◽  
Author(s):  
Natalia Fidorów-Kaprawy ◽  
Ewelina Stefanowicz ◽  
Wojciech Mazurek ◽  
Małgorzata Szulgowska-Zgrzywa ◽  
Anna Bryszewska-Mazurek
Keyword(s):  
Thermal Response ◽  
Thermal Response Test ◽  
Response Test

An Investigation of Hydrological Effects on the Thermal Performance of Standing Column Well Using the in-situ Thermal Response Test

2019 ◽  
Vol 27 (02) ◽  
pp. 1950015 ◽  
Author(s):  
Keun Sun Chang ◽  
Young Jae Kim ◽  
Min Jun Kim
Keyword(s):  
Thermal Conductivity ◽  
Thermal Resistance ◽  
Flow Rate ◽  
Large Scale ◽  
Thermal Response ◽  
Thermal Response Test ◽  
Response Test ◽  
Geological Conditions ◽  
Wide Range ◽  
Borehole Thermal Resistance

The standing column well (SCW) for ground source heat pump (GSHP) systems is a highly promising technology with its high heat capacity and efficiency. In this study, a large-scale thermal response tester has been built, which is capable of imposing a wide range of heat on the SCW ground heat exchangers and measuring time responses of their thermal parameters. Two standing column wells in one site but with different well hydrological and geological conditions are tested to study their effects on the thermal performances. Borehole thermal resistance ([Formula: see text]) and the effective thermal conductivity ([Formula: see text]) are derived from data obtained from the thermal response test (TRT) by using a line source method. Results show that the influence of groundwater movement on the thermal conductivity of the SCW is not very significant (3.6% difference between two different geological conditions). This indicates that results of one TRT measurement can be applied to other SCWs in the same site, with which considerable time and cost are saved. The increase of circulation flow rate enhances the ground thermal conductivity moderately (4.5% increase with flow rate increase of 45%), but the borehole thermal resistance is substantially lowered (about 25.9%).

scholarly journals Improved p(t)-linear Average Method for Ground Thermal Properties Estimation during in-situ Thermal Response Test

2015 ◽  
Vol 121 ◽  
pp. 726-734 ◽  
Author(s):  
Linfeng Zhang ◽  
Quan Zhang ◽  
José Acuña ◽  
Xiaowei Ma
Keyword(s):  
Thermal Properties ◽  
Average Method ◽  
Thermal Response ◽  
Thermal Response Test ◽  
Response Test
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