1982
DOI: 10.1029/wr018i002p00245
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Sensible energy storage in aquifers: 1. Theoretical study

Abstract: This paper presents the results of a theoretical study on the thermal behavior of a hot water storage system in an aquifer using a single well. It is shown that the storage efficiency and temperature are controlled by a limited number of dimensionless groups that depend on the aquifer's physical characteristics and the storage operating parameters. A numerical model is checked against analytical solutions and is then used to evaluate the variation with time of the well temperature during production periods for… Show more

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Cited by 65 publications
(39 citation statements)
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“…This is mainly due to the fact that they are based on controlled lab experiments with homogenous porous media and the uncertainty introduced by macroscale heterogeneities of hydraulic conductivity is not accounted for. Sauty et al [32] and de Marsily [17] proposed a thermal dispersion coefficient, similar to solute transport [15], where the thermal dispersion term is related to the heterogeneity of the velocity field and is a linear function of this velocity. The following expressions are used by modelers to represent what they do not know about the exact structure of the aquifer and its heterogeneity [19,33e36]:…”
Section: Thermal Dispersionmentioning
confidence: 99%
“…This is mainly due to the fact that they are based on controlled lab experiments with homogenous porous media and the uncertainty introduced by macroscale heterogeneities of hydraulic conductivity is not accounted for. Sauty et al [32] and de Marsily [17] proposed a thermal dispersion coefficient, similar to solute transport [15], where the thermal dispersion term is related to the heterogeneity of the velocity field and is a linear function of this velocity. The following expressions are used by modelers to represent what they do not know about the exact structure of the aquifer and its heterogeneity [19,33e36]:…”
Section: Thermal Dispersionmentioning
confidence: 99%
“…Researches on analytical methods for heat transfer have been conducted by Sauty et al [18], Uffink [19], Voigt and Haefner [20], Krarti and Claridge [21], Yang and Yeh [22], and Stopa and Wojnarowski [23]. Kangas and Lund [17] pointed out that analytical solution is applicable only to the simplest cases or to qualitative estimations.…”
Section: Introductionmentioning
confidence: 97%
“…Recently, with the advance of modern computing power, three-dimensional numerical modeling become widely used such as in Dickinson et al [8], Lee [13], Tenma et al [28], and so on. The main objective of the numerical modeling for the ATES system before 1990s was to predict heat transfer in the model domain by injected water through a single well [16,18,26], and it is now widening into predicting recovery temperature by heat loss [13,16], injection depth in the aquifer [13,28], injection rate [13,28], injection time [28], and regional groundwater flow [17].…”
Section: Introductionmentioning
confidence: 99%
“…Although the displacement of heat and solutes by regional groundwater flow cannot be considered with the axi-symmetric approach, the regional groundwater flow is generally low in deep brackish aquifers targeted for HT-ATES systems (e.g. Sauty et al 1982). Hence, neglecting heat and solute loss by regional groundwater flow during HT-ATES is considered a reasonable assumption.…”
Section: Model Set-upmentioning
confidence: 99%
“…Zuurbier et al 2014). Also prolonged injection of hot water during the first cycle can be applied to reduce the temperature differences and associated heat loss in subsequent recovery cycles (Sauty et al 1982). Fig.…”
Section: Optimization Of Thermal Recovery Efficiencymentioning
confidence: 99%