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Development of Operating Method of Multi-Geothermal Heat Pump Systems Using Variable Water Flow Rate Control and a COP Prediction Model Based on ANN

Author

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  • Ji-Hyun Shin

    (Department of Architectural Engineering, Graduate School of Yeungnam University, 280 Daehak-Ro, Gyeongsan, Gyeongbuk 38541, Korea)

  • Yong-In Kim

    (NOW Consulting Engineers co. LTD, Seoul 05073, Korea)

  • Young-Hum Cho

    (School of Architecture, Yeungnam University, 280 Daehak-Ro, Gyeongsan, Gyeongbuk 38541, Korea)

Abstract

As the global energy trend continues, the importance of energy savings and efficient use is being emphasized, and the installation and operation of geothermal heat pump systems is increasing. In many buildings, where an actual geothermal heat pump system has been installed, problems of efficiency deterioration occur frequently because of the inefficient operation after installation of the heat pump system. The purpose of this study was to develop and verify the operating method for energy saving and performance improvement of multiple geothermal systems. A coefficient of performance (COP) prediction model using an artificial neural network for real-time COP predictions was developed. The operating method of a multi-geothermal heat pump system using a variable water flow rate control method and COP prediction model was developed. The geothermal heat pump system operates sequentially depending on the water flow rate of the circulation pump. The COP prediction model enabled real-time performance prediction during system operation. The circulation water flow rate was reduced by up to 29% compared to the existing operating method. Approximately 23% of the energy was saved. The COP system, including the consumption power of the circulation pump, was improved.

Suggested Citation

  • Ji-Hyun Shin & Yong-In Kim & Young-Hum Cho, 2019. "Development of Operating Method of Multi-Geothermal Heat Pump Systems Using Variable Water Flow Rate Control and a COP Prediction Model Based on ANN," Energies, MDPI, vol. 12(20), pages 1-18, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:20:p:3894-:d:276566
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    References listed on IDEAS

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    1. Girard, Aymeric & Gago, Eulalia Jadraque & Muneer, Tariq & Caceres, Gustavo, 2015. "Higher ground source heat pump COP in a residential building through the use of solar thermal collectors," Renewable Energy, Elsevier, vol. 80(C), pages 26-39.
    2. Ioan Sarbu & Calin Sebarchievici, 2016. "Performance Evaluation of Radiator and Radiant Floor Heating Systems for an Office Room Connected to a Ground-Coupled Heat Pump," Energies, MDPI, vol. 9(4), pages 1-19, March.
    3. Ji-Hyun Shin & Young-Hum Cho, 2018. "Development of a Variable Water Flow Rate Control Method for the Circulation Pump in a Geothermal Heat Pump System," Energies, MDPI, vol. 11(4), pages 1-18, March.
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    Cited by:

    1. Jeong Soo Shin & Jong Woo Park & Sean Hay Kim, 2020. "Measurement and Verification of Integrated Ground Source Heat Pumps on a Shared Ground Loop," Energies, MDPI, vol. 13(7), pages 1-24, April.
    2. Hyo-Jun Kim & Jae-Hun Jo & Young-Hum Cho, 2019. "Development of Virtual Air Flow Sensor Using In-Situ Damper Performance Curve in VAV Terminal Unit," Energies, MDPI, vol. 12(22), pages 1-14, November.
    3. Ji-Hyun Shin & Hyo-Jun Kim & Han-Gyeol Lee & Young-Hum Cho, 2023. "Variable Water Flow Control of Hybrid Geothermal Heat Pump System," Energies, MDPI, vol. 16(17), pages 1-18, August.
    4. Sebastian Angermeier & Christian Karcher, 2020. "Model-Based Condenser Fan Speed Optimization of Vapor Compression Systems," Energies, MDPI, vol. 13(22), pages 1-26, November.

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