The effects of borehole thermal resistances and fluid flow rate on the g-functions of geothermal bore fields

Cimmino, Massimo

doi:10.1016/j.ijheatmasstransfer.2015.08.041

Cited by 59 publications

(43 citation statements)

References 29 publications

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“…Their method, however, did not consider the axial variation of fluid temperatures, borehole wall temperatures and heat extraction rates. Previous work has shown that axial variation of heat extraction rates have an important impact on the long-term ground temperature variations (Cimmino and Bernier, 2014;Cimmino, 2015). The present paper represents improvements over previous works.…”

Section: Introductionmentioning

confidence: 78%

G-functions for bore fields with mixed parallel and series connections considering axial fluid temperature variations

Cimmino¹

2018

Proceedings of the IGSHPA Research Track 2018

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Section: Introductionmentioning

confidence: 78%

G-functions for bore fields with mixed parallel and series connections considering axial fluid temperature variations

Cimmino¹

2018

Proceedings of the IGSHPA Research Track 2018

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“…In this part, the model has Dirichlet and adiabatic BCs at the top and bottom boundaries, respectively. The first verification regards the steady-state distribution of heat flow between boreholes which is in accordance with that of Cimmino (2015). The second verification performed is a comparison between the LSNM, the Infinite Line Source (ILS) and Lazzarotto and Björk (2016).…”

Section: Verifications On the Real-scale Numerical Modelmentioning

confidence: 99%

“…This FLS vs. g-function issue was tackled by several authors who proposed modelling straight (Cimmino & Bernier, 2014) and inclined (Lazzarotto, 2016;Lazzarotto & Björk, 2016) boreholes as stacks of FLS while imposing a uniform temperature BC. Cimmino (2015) coupled such as stack-FLS mode to a quasi-steady-state borehole heat transfer model, thereby moving the BC outside of the boreholes, allowing to impose the same inlet temperature for all boreholes in the field.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Design of a laboratory borehole storage model

Mazzotti¹,

Jiang²,

Monzó³

et al. 2018

Proceedings of the IGSHPA Research Track 2018

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This paper presents the design process of a 4x4 Laboratory Borehole Storage (LABS) model through analytical and numerical analyses. This LABS is intended to generate reference Thermal Response Functions (TRFs) as well as to be a validation tool for borehole heat transfer models. The objective of this design process is to determine suitable geometrical and physical parameters for the LABS. An analytical scaling analysis is first performed and important scaling constraints are derived. In particular, it is shown that the downscaling process leads to significantly higher values for Neumann and convective boundary conditions whereas the Fourier number is invariant. A numerical model is then used to verify the scaling laws, determine the size of the LABS, as well as to evaluate the influence of top surface convection and borehole radius on generated TRFs. An adequate shape for the LABS is found to be a quarter cylinder of radius and height 1.0 m, weighing around 1.2 tonnes. Natural convection on the top boundary proves to have a significant effect on the generated TRF with deviations of at least 15%. This convection effect is proposed as an explanation for the difference observed between experimental and analytical results in Cimmino and Bernier (2015). A numerical reproduction of their test leads to a relative difference of 1.1% at the last reported time. As small borehole radii are challenging to reproduce in a LABS, the effect of the borehole radius on TRFs is investigated. It is found that Eskilson's radius correction (1987) is not fully satisfactory and a new correction method must be undertaken.

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“…where , Information on the use of numerical Laplace transforms for the calculation of borehole wall temperatures is given in (Cimmino, et al 2013;Cimmino and Bernier 2014;Cimmino 2015;Cimmino and Bernier 2015). Segment-to-segment response factor increments are given by the finite line source solution (Claesson and Javed 2011;Cimmino and Bernier 2014).…”

Section: Ground Modelmentioning

confidence: 99%

“…Cimmino (2015) proposed a method based on the finite line source solution to calculate thermal response factors of bore fields with equal inlet fluid temperature for all boreholes. The finite line source solution was coupled to a steady-state solution of the fluid temperature profiles in the U-tube pipes.…”

Section: Introductionmentioning

confidence: 99%

Examination of Ambient Temperature Variations Effects on Predicted Fluid Temperatures in Vertical Boreholes

Cimmino¹

2017

Proceedings of the IGSHPA Technical/Research Conference and Expo 2017

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The effects of borehole thermal resistances and fluid flow rate on the g-functions of geothermal bore fields

Cited by 59 publications

References 29 publications

G-functions for bore fields with mixed parallel and series connections considering axial fluid temperature variations

G-functions for bore fields with mixed parallel and series connections considering axial fluid temperature variations

Design of a laboratory borehole storage model

Examination of Ambient Temperature Variations Effects on Predicted Fluid Temperatures in Vertical Boreholes

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