2014
DOI: 10.1016/j.enconman.2014.03.059
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Sensitivity analysis of efficiency thermal energy storage on selected rock mass and grout parameters using design of experiment method

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Cited by 30 publications
(11 citation statements)
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“…Furthermore, the high influence of the thermal conductivity of the rock and grout on storage efficiency is in agreement with the results of the sensitivity analysis presented in ref. [40].…”
Section: Results Of the Further Investigations Using The Htip Modelmentioning
confidence: 99%
“…Furthermore, the high influence of the thermal conductivity of the rock and grout on storage efficiency is in agreement with the results of the sensitivity analysis presented in ref. [40].…”
Section: Results Of the Further Investigations Using The Htip Modelmentioning
confidence: 99%
“…Based on the combination of innovative space-filling criteria and specialized optimization schemes [38,39], the optimized Latin hypercube sampling strategy (OLHS), served as a kind of excellent technique of Design of Experiment (DOE), was employed in the present study. Compared to the conventional Latin hypercube sampling method, OLHS, as a more efficient sampling strategy, requires fewer sample points and achieves a specific level of accuracy [40].…”
Section: Design Of Experiments and Meta-modelingmentioning
confidence: 99%
“…A great number of 3D numerical models have been developed based on the numerical approaches, such as FEM [112,140,147], FVM [148][149][150][151] and FDM [152][153][154]. In terms of the computational requirements, many methods are used to decrease the grids of the BHE elements, including Al-Khoury model [99][100][101], Nabi model [151,152], Mottaghy and Dijkshoorn model [153], Diersch model [154,155], Cui model [156], 3D MTRCM [131] and MDF models [157][158][159]. This section describes a detailed review on 3D heat transfer models for the vertical BHE system.…”
Section: D Heat Transfer Models Of Bhesmentioning
confidence: 99%