Fiber-Optic and Operational Data from a Geothermal Response Test (GRT) in Darmstadt

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Authors: Lukas Seib, Matthias Krusemark, Markus Schedel, Hung Manh Pham, Ingo Sass, Technische Universität Darmstadt
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Abstract

This dataset contains measurement data from a Geothermal Response Test (GRT) conducted on a vertical borehole heat exchanger. The purpose of the test was to determine the thermal conductivity of the subsurface and to characterize the heat transfer processes in the coaxial BHE, the grout material, and the surrounding ground. The dataset comprises three distributed temperature sensing (DTS) datasets collected from optical fibers installed in three different positions within the borehole heat exchanger: Inner pipe: Fiber located along the inner pipe of the coaxial BHE. Outer pipe: Fiber located along the outer pipe of the coaxial BHE. Grout: Fiber embedded in the grout material. Each fiber record also includes the sections of the cable located outside the borehole, which serve as reference segments for surface temperature conditions. The data are provided as time series of temperature profiles along the fiber length. In addition to the fiber-optic data, the dataset includes a text file containing operational measurements recorded at the wellhead. These comprise: Inlet temperature (Tin) of the heat carrier fluid, Outlet temperature (Tout) of the heat carrier fluid, Volumetric flow rate (Flow rate) through the borehole heat exchanger. This dataset is suitable for: Analysis of subsurface thermal properties, Modeling and validation of numerical GRT simulations, Development and evaluation of analysis methods for distributed temperature measurements in borehole heat exchangers. Data format: Fiber-optic data: csv files containing timestamps, fiber position, and temperature values. Operational data: Text file (txt) containing timestamps, Tin, Tout, and flow rate.

Fields of Study & Subjects

Geothermal Energy Systems and Applications Integrated Energy Systems Optimization Advanced Fiber Optic Sensors

Publication details

Journal / source
TUdatalib
Publication date
12 March 2026
Language
DE
Document type
Dataset