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Study on the Optimum Design of a Ground Heat Pump System Using Optimization Algorithms

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  • Hyeongjin Moon

    (Department of Architectural Engineering, Pusan National University, Pusan 612-022, Korea)

  • Hongkyo Kim

    (Department of Architectural Engineering, Pusan National University, Pusan 612-022, Korea)

  • Yujin Nam

    (Department of Architectural Engineering, Pusan National University, Pusan 612-022, Korea)

Abstract

Geothermal energy has attracted attention as a high-efficiency energy source that can be used year-round, but it has a relatively higher initial investment cost. For the design of ground source heat pump (GSHP) systems, a calculation method to determine the capacity of a system to meet the peak load of the target building is usually used. However, this method requires excessive system capacity design, especially regarding buildings with partial load operations. In this study, the optimization of a system design was performed in the view of the cost of the lifecycle cost. Several optimization algorithms were considered, such as the discrete Armijo gradient algorithm, a particle swarm optimization (PSO) algorithm, and a coordinate search method algorithm. The results of the optimization described the system capacity (heat pump, ground heat exchanger, thermal storage tank, etc.) and the cost performance, showing that the total investment cost was reduced compared to the existing design.

Suggested Citation

  • Hyeongjin Moon & Hongkyo Kim & Yujin Nam, 2019. "Study on the Optimum Design of a Ground Heat Pump System Using Optimization Algorithms," Energies, MDPI, vol. 12(21), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:21:p:4033-:d:279595
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    References listed on IDEAS

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    1. Emanuele Bonamente & Andrea Aquino, 2017. "Life-Cycle Assessment of an Innovative Ground-Source Heat Pump System with Upstream Thermal Storage," Energies, MDPI, vol. 10(11), pages 1-10, November.
    2. Si, Binghui & Tian, Zhichao & Jin, Xing & Zhou, Xin & Tang, Peng & Shi, Xing, 2016. "Performance indices and evaluation of algorithms in building energy efficient design optimization," Energy, Elsevier, vol. 114(C), pages 100-112.
    3. Jimin Kim & Taehoon Hong & Myeongsoo Chae & Choongwan Koo & Jaemin Jeong, 2015. "An Environmental and Economic Assessment for Selecting the Optimal Ground Heat Exchanger by Considering the Entering Water Temperature," Energies, MDPI, vol. 8(8), pages 1-25, July.
    4. Binghui Si & Zhichao Tian & Wenqiang Chen & Xing Jin & Xin Zhou & Xing Shi, 2018. "Performance Assessment of Algorithms for Building Energy Optimization Problems with Different Properties," Sustainability, MDPI, vol. 11(1), pages 1-22, December.
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    Cited by:

    1. Hyeongjin Moon & Jae-Young Jeon & Yujin Nam, 2020. "Development of Optimal Design Method for Ground-Source Heat-Pump System Using Particle Swarm Optimization," Energies, MDPI, vol. 13(18), pages 1-17, September.
    2. Youngsik Kwon & Sangmu Bae & Yujin Nam, 2022. "Development of Design Method for River Water Source Heat Pump System Using an Optimization Algorithm," Energies, MDPI, vol. 15(11), pages 1-19, May.

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