Deconvolution of experimental thermal response test data to recover short-term g-function

Dion, Gabriel; Pasquier, Philippe; Marcotte, Denis

doi:10.1016/j.geothermics.2021.102302

Cited by 7 publications

(4 citation statements)

References 37 publications

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“…( 1). This section presents an extension to the algorithm of Dion et al, (2022) to deconvolve a set of transfer functions for the non-stationary case instead of a single one in a stationary scenario. The algorithm is closely related to the original one and can also be used for single-signal deconvolution.…”

Section: Stationary or Non-stationary Signal Deconvolution (Inverse P...mentioning

confidence: 99%

“…Recent advances have made it possible to use a deconvolution algorithm to obtain the short-term g-function (STgF) from the experimental data of a thermal response test (TRT) (Beier, 2020;Dion et al, 2022). Such an algorithm does not require a direct analytical or numerical model and directly uses the experimental data to obtain the STgF.…”

Section: Introductionmentioning

confidence: 99%

“…Such an algorithm does not require a direct analytical or numerical model and directly uses the experimental data to obtain the STgF. Another advantage is that defining the STgF at the borehole outlet, as done by Dion et al (2022), incorporates the thermal conductivity and capacity of the ground and of the GHE (e.g., casing, grout, pipe, and fluid). Such deconvolution algorithm performs an inversion on a set of nodes, so that the convolved temperatures are closest to their experimental counterparts.…”

Section: Introductionmentioning

confidence: 99%

“…The goals of this article are twofold: first to apply the single-deconvolution algorithm of Dion et al, (2022) to long GSHP system operation to obtain long-term g-function. Second, to provide an extension to the deconvolution algorithm of Dion et al (2022) to recover a set of transfer functions corresponding to the different operating parameters in a GHE, occurring during the operation of a GSHP system.…”

Section: Introductionmentioning

confidence: 99%

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Stationary and non-stationary deconvolution to recover long-term transfer functions

Dion¹,

Pasquier²,

Marcotte³

et al. 2022

Proceedings of the IGSHPA Research Track 2022

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To design a ground heat exchanger, simulations are frequently used. One way to perform simulations is to use the well-known g-functions to obtain the ground temperature. These functions are usually obtained by analytical or numerical models, which limits the precision or takes long simulation time. Recent advances show that the short-term g-functions can also be retrieved by a deconvolution algorithm. However, the known deconvolution algorithm is only validated for a set of operating parameters and duration of less than 10 days. A first objective of this article is to demonstrate that longer g-functions can be retrieved with such an algorithm. Then, a second objective is to extend the application of the deconvolution to consider time varying operating parameters throughout a ground heat exchanger's operation. To achieve those objectives, the deconvolution will be first applied to various numerical year-long simulations of a ground source heat pump system with stationary conditions. Then, an extended multi-signal deconvolution will be applied to a non-stationary thermal response test of 30 days. Both tests show adequate temperature reconstruction with RMSE of less than 0.05 °C and 0.2 ᵒC for the first and second scenarios respectively.

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Section: Stationary or Non-stationary Signal Deconvolution (Inverse P...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations