Multi-objective optimization of a vertical ground source heat pump using evolutionary algorithm

Sayyaadi, Hoseyn; Amlashi, Emad Hadaddi; Amidpour, Majid

doi:10.1016/j.enconman.2009.04.006

Cited by 99 publications

(30 citation statements)

References 13 publications

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“…Few studies were conducted to optimize the sizing of BHEs. 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.…”

Section: Proposed Methodologymentioning

confidence: 99%

Development of a Multi-Objective Sizing Method for Borehole Heat Exchangers during the Early Design Phase

Park

Kim

Jang³

et al. 2017

Sustainability

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Ground-source heat pump (GSHP) systems coupled with borehole heat exchangers (BHEs) are widely used as a renewable energy source. However, the high initial costs to install the BHEs still acts as an obstacle in the expansion of these renewable energy source systems. Specifically, in South Korea, a typical residential type corresponds to an apartment building with a high building-to-land ratio for land efficiency, and thus the space to install the BHEs is usually insufficient. Furthermore, the high initial cost issue of BHEs makes it difficult to ensure the feasibility of GSHP projects in this type of a situation. This study proposes a novel BHE sizing method to support the process of sizing energy sources in the design development phase of a construction project. Life cycle cost (LCC) analysis was combined with a tool to optimize BHE sizing by considering various economic aspects. Entering water temperatures (EWT) to heat pumps in conjunction with the LCC were used to define objective functions. Consequently, Pareto optimal solutions were obtained on the EWT-LCC plot. A group of Pareto optimal solutions forms a Pareto-curve, and each point on the curve indicates a possible sizing scenario or alternative. Finally, it is possible for decision makers to compare the solutions that include both technical and economic information. The Pareto optimal solutions are expected to support proper decision making in the early design phase.

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Section: Proposed Methodologymentioning

confidence: 99%

Development of a Multi-Objective Sizing Method for Borehole Heat Exchangers during the Early Design Phase

Park

Kim

Jang³

et al. 2017

Sustainability

View full text Add to dashboard Cite

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“…The decisionmaking process is generally performed based on the engineering experience and the importance of each objective for decision-makers [20,22]. In this study, a hypothetical point, named as ideal point, is used to assist in determining the final optimal solution in the decision-making process [30].…”

Section: Decision-making In the Multi-objective Design Optimizationmentioning

confidence: 99%

“…Multi-objective optimization problems usually exhibit a probably uncountable set of solutions to assess the status of vectors showing the best possible trade-offs in the objective function space [20][21][22]. The Pareto frontier is one of the key concepts and can be used to establish a hierarchy among the solutions of a multi-objective optimization problem, in order to determine whether a solution is one of the best possible trades-offs [20][21][22].…”

Section: Decision-making In the Multi-objective Design Optimizationmentioning

confidence: 99%

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A multi-objective design optimization strategy for vertical ground heat exchangers

Huang

Wang

2015

Energy and Buildings

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. (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 outer radius and fluid mass flow rate, are first selected via a global sensitivity analysis method, and then optimized by a genetic algorithm (GA) optimizer implemented in MATLAB. Based on the Pareto frontier obtained from the GA optimization, a decision-making strategy is then used to determine a final solution. Two case studies are presented to validate the effectiveness of the proposed strategy. The results based on a small scale GSHP system in Australia show that, compared to the original design, the use of this proposed strategy can decrease the total system cost (i.e. the upfront cost and 20 years' operating cost) by 9.5%. Compared to a singleobjective design optimization strategy, 6.2% more energy can be saved by using this multi-objective design optimization strategy. The result from a relatively large scale GSHP system implemented in China shows that a 5.2% decrease in the total system cost can be achieved by using this proposed strategy, compared with using the original design. The results based on a small scale GSHP system in Australia show that, compared to the original design, the use of this proposed strategy can decrease the total system cost (i.e. the upfront cost and 20 years' operating cost) by 9.5%. Compared to a single-objective design optimization strategy, 6.2% more energy can be saved by using this multi-objective design optimization strategy. The result from a relatively large scale GSHP system implemented in China shows that a 5.2% decrease in the total system cost can be achieved by using this proposed strategy, compared with using the original design.

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“…The topic of the GSHP optimization has been addressed by several authors in the literature through different approaches and methods (see, for instance, [3,[5][6][7][8][9][10]). Among the others, we consider the so-called "simulation-based optimization methods" [11] as a very promising methodology to improve the energy performance of any energy system (GSHP included) through the research of optimal design and management strategies and possible technological development [12].…”

Section: Introductionmentioning

confidence: 99%

Dimensionless Maps for the Validity of Analytical Ground Heat Transfer Models for GSHP Applications

Conti

2016

Energies

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Abstract:This article provides plain and handy expressions to decide the most suitable analytical model for the thermal analysis of the ground source in vertical ground-coupled heat pump applications. We perform a comprehensive dimensionless analysis of the reciprocal deviation among the classical infinite, finite, linear and cylindrical heat source models in purely conductive media. Besides, we complete the framework of possible boreholes model with the "hollow" finite cylindrical heat source solution, still lacking in the literature. Analytical expressions are effective tools for both design and performance assessment: they are able to provide practical and general indications on the thermal behavior of the ground with an advantageous tradeoff between calculation efforts and solution accuracy. This notwithstanding, their applicability to any specific case is always subjected to the coherence of the model assumptions, also in terms of length and time scales, with the specific case of interest. We propose several dimensionless criteria to evaluate when one model is practically equivalent to another one and handy maps that can be used for both design and performance analysis. Finally, we found that the finite line source represents the most suitable model for borehole heat exchangers (BHEs), as it is applicable to a wide range of space and time scales, practically providing the same results of more complex models.

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Multi-objective optimization of a vertical ground source heat pump using evolutionary algorithm

Cited by 99 publications

References 13 publications

Development of a Multi-Objective Sizing Method for Borehole Heat Exchangers during the Early Design Phase

Development of a Multi-Objective Sizing Method for Borehole Heat Exchangers during the Early Design Phase

A multi-objective design optimization strategy for vertical ground heat exchangers

Dimensionless Maps for the Validity of Analytical Ground Heat Transfer Models for GSHP Applications

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