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Development of Design Method for River Water Source Heat Pump System Using an Optimization Algorithm

Author

Listed:
  • Youngsik Kwon

    (Department of Architectural Engineering, Pusan National University, 2 Busandaehak-ro 63, Geomjeong-gu, Busan 46241, Korea)

  • Sangmu Bae

    (Department of Architectural Engineering, Pusan National University, 2 Busandaehak-ro 63, Geomjeong-gu, Busan 46241, Korea)

  • Yujin Nam

    (Department of Architectural Engineering, Pusan National University, 2 Busandaehak-ro 63, Geomjeong-gu, Busan 46241, Korea)

Abstract

River water source heat pump (RWSHP) systems are being proposed to reduce the energy consumption and carbon emissions of buildings. The RWSHP system is actively applied to large-scale buildings due to its stable performance. The application of RWSHP in large-scale facilities requires an accurate capacity design with considerations of building load, heat source, and environment conditions. However, most RWSHP systems are over-designed based on peak load of buildings. These design methods, based on peak loads, are economically and environmentally disadvantageous. Therefore, this paper aims to development an optimal design method, both economically and environmentally, for the RWSHP system. To develop this optimal design method, a simulation model was created with an optimization algorithm. The economics of the RWSHP system were calculated bases on present worth of annuity factor. Moreover, CO 2 emissions were estimated using the life cycle climate performance proposed by the International Institute of Refrigeration. The total cost of the proposed RWSHP system that apply the optimum design method decreased by 24% compared to conventional RWSHP systems. Moreover, CO 2 emissions of the proposed RWSHP system reduced by 4% compared to conventional RWSHP systems.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:4019-:d:827890
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    References listed on IDEAS

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    1. Si, Binghui & Tian, Zhichao & Jin, Xing & Zhou, Xin & Shi, Xing, 2019. "Ineffectiveness of optimization algorithms in building energy optimization and possible causes," Renewable Energy, Elsevier, vol. 134(C), pages 1295-1306.
    2. 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.
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