2014
DOI: 10.1088/1742-6596/547/1/012008
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Borehole modelling: a comparison between a steady-state model and a novel dynamic model in a real ON/OFF GSHP operation

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Cited by 14 publications
(15 citation statements)
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“…However, this type only reproduces the steady-state response of the water temperatures of the GSHE, which produces significant differences on the shape of the temperature curves [34,35]. Therefore, it becomes necessary to use a dynamic model precise enough to model the instantaneous, short-term, and long-term responses of the GSHE, without excessively increasing the computational cost of the whole model.…”
Section: Gshe and External Circuitmentioning
confidence: 99%
See 1 more Smart Citation
“…However, this type only reproduces the steady-state response of the water temperatures of the GSHE, which produces significant differences on the shape of the temperature curves [34,35]. Therefore, it becomes necessary to use a dynamic model precise enough to model the instantaneous, short-term, and long-term responses of the GSHE, without excessively increasing the computational cost of the whole model.…”
Section: Gshe and External Circuitmentioning
confidence: 99%
“…It was found that the DST was not able to predict the temperature delay in the outlet of the U-tube that occurs due to the water advection, while the B2G was able to reproduce it. Regarding the typical operation of the GSHP system, the DST does not reproduce correctly the response of the fluid inside the BHE, because it is based on a steady-state approach [35]. In the global model presented in this work, the B2G model will be coupled to the g-function model [8], which will be used only for the calculation of the long-term response of the GSHE.…”
Section: Gshe and External Circuitmentioning
confidence: 99%
“…Numerical computations can instead relax many assumptions that are generally needed to solve analytical models [21,22]. The geometry in particular can be more complex, accounting for finite lengths, thermal interaction of the heat exchangers, multilayer soil [23] and inclusion of the ground water flow [24,25].…”
Section: Introductionmentioning
confidence: 99%
“…These could be extended in several ways though [12,15,16], from analytical g-functions [17] to superposition of thermal response functions (the so-called Hellström approach) [18,19]. Unfortunately, unavoidable approximations (such as constant wall temperatures) still limit the predictive power of these models [10,12].Numerical computations can instead relax many assumptions that are generally needed to solve analytical models [20,21]. The geometry in particular can be more complex, accounting for finite lengths, thermal interaction of the heat exchangers, multilayer soil [22] and inclusion of the ground water flow [23,24].…”
mentioning
confidence: 99%
“…Numerical computations can instead relax many assumptions that are generally needed to solve analytical models [20,21]. The geometry in particular can be more complex, accounting for finite lengths, thermal interaction of the heat exchangers, multilayer soil [22] and inclusion of the ground water flow [23,24].…”
mentioning
confidence: 99%