2015
DOI: 10.1016/j.enbuild.2014.11.024
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A multi-objective design optimization strategy for vertical ground heat exchangers

Abstract: . (2015). A multi-objective design optimization strategy for vertical ground heat exchangers. Energy and Buildings, A multi-objective design optimization strategy for vertical ground heat exchangers Abstract A multi-objective design optimization strategy for vertical U-tube ground heat exchangers (GHEs) is presented to minimize the system upfront cost and entropy generation number simultaneously. Five design variables of vertical U-tube GHEs, including borehole number, borehole depth, borehole radius, U-tube … Show more

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Cited by 54 publications
(10 citation statements)
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“…For a given heating and cooling loads, optimization of GSHP system was done by Sanaye and Niroomand [9]. Considering multi-objective optimization design of BHEs, Huang et al [10] proposed an optimization design strategy to minimize the system cost. Hence there is good opportunity to simulate the GHEs numerically for optimization of performance of GSHP systems.…”
Section: Introductionmentioning
confidence: 99%
“…For a given heating and cooling loads, optimization of GSHP system was done by Sanaye and Niroomand [9]. Considering multi-objective optimization design of BHEs, Huang et al [10] proposed an optimization design strategy to minimize the system cost. Hence there is good opportunity to simulate the GHEs numerically for optimization of performance of GSHP systems.…”
Section: Introductionmentioning
confidence: 99%
“…Given that the issue of variations in shank-space revolves around the phenomenon of thermal resistance and thermal short-circuiting, this is often studied in conjunction with variations in other parameters, such as borehole depth, borehole radius, fluid mass flow rate, U-tube radius, U-tube pipe material, and grout thermal conductivity among others [23]. Recent work done by Zhou et al [24], for example, uses the Taguchi method to find the effect of eight parameters (including most of the above mentioned) on the thermal resistance, concluding that the shank-space has the most substantial impact on the thermal performance of ground heat exchangers.…”
Section: Effect Of Shank-space On System Performancementioning
confidence: 99%
“…Sayyaadi et al [11] used the total revenue requirement (TRR) method by using a multi-objective genetic algorithm, MOGA, by defining the thermodynamic and thermoeconomic objective functions. Huang et al [12] also performed design optimization of BHEs for decision making purposes. They performed the mathematical modelling of BHEs and performed MOGA in Matlab to derive entropy generations.…”
Section: Proposed Methodologymentioning
confidence: 99%