Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Calibration and Uncertainty Quantification for Single-Ended Raman-Based Distributed Temperature Sensing: Case Study in a 800 m Deep Coaxial Borehole Heat Exchanger

Version 1 : Received: 10 March 2023 / Approved: 15 March 2023 / Online: 15 March 2023 (13:47:01 CET)

A peer-reviewed article of this Preprint also exists.

Mazzotti Pallard, W.; Lazzarotto, A.; Acuña, J.; Palm, B. Calibration and Uncertainty Quantification for Single-Ended Raman-Based Distributed Temperature Sensing: Case Study in a 800 m Deep Coaxial Borehole Heat Exchanger. Sensors 2023, 23, 5498. Mazzotti Pallard, W.; Lazzarotto, A.; Acuña, J.; Palm, B. Calibration and Uncertainty Quantification for Single-Ended Raman-Based Distributed Temperature Sensing: Case Study in a 800 m Deep Coaxial Borehole Heat Exchanger. Sensors 2023, 23, 5498.

Abstract

Raman-based Distributed Temperature Sensing (DTS) is a valuable tool for field testing and validating heat transfer models in Borehole Heat Exchanger (BHE) and Ground Source Heat Pump (GSHP) applications. However, temperature uncertainty is rarely reported in the literature. In this paper, a new calibration method is proposed for single-ended DTS configurations, along with a method to remove fictitious temperature drifts due to ambient air variations. The methods are implemented for a Distributed Thermal Response Test case study in an 800 m deep coaxial BHE. The results show that the calibration method and temperature drift correction are robust and give adequate results, with a temperature uncertainty of ± 0.58, 0.74, 1.1 and 1.7 K found at depths of 200, 300, 500 and 800 m, respectively. The temperature uncertainty increases non-linearly with depth and is dominated by the uncertainty in the calibrated parameters for depths larger than 200 m. The paper also offers insights into thermal features observed during the DTRT, including a heat flux inversion along the borehole depth and the slow temperature homogenization under circulation. Distributed temperature measurements and their uncertainties are useful tools in determining the strengths and drawbacks of ground heat transfer models.

Keywords

DTS; Uncertainty; Fiber; Borehole; GSHP; BHE; DTRT; Monte Carlo; Coaxial; Deep

Subject

Engineering, Energy and Fuel Technology

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