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Factors Affecting the Installation Potential of Ground Source Heat Pump Systems: A Comparative Study for the Sendai Plain and Aizu Basin, Japan

Author

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  • Shohei Kaneko

    (Renewable Energy Research Center, Fukushima Renewable Energy Institute, AIST, 2-2-9 Machiikedai, Koriyama 963-0298, Japan)

  • Youhei Uchida

    (Renewable Energy Research Center, Fukushima Renewable Energy Institute, AIST, 2-2-9 Machiikedai, Koriyama 963-0298, Japan)

  • Gaurav Shrestha

    (Renewable Energy Research Center, Fukushima Renewable Energy Institute, AIST, 2-2-9 Machiikedai, Koriyama 963-0298, Japan)

  • Takeshi Ishihara

    (Renewable Energy Research Center, Fukushima Renewable Energy Institute, AIST, 2-2-9 Machiikedai, Koriyama 963-0298, Japan)

  • Mayumi Yoshioka

    (Renewable Energy Research Center, Fukushima Renewable Energy Institute, AIST, 2-2-9 Machiikedai, Koriyama 963-0298, Japan)

Abstract

Evaluating the installation potential of ground source heat pump (GSHP) systems based on the hydrogeological condition of an area is important for the installation and sustainable use of the system. This work is the first to have compared the distributions of heat exchange rate in the Sendai Plain and Aizu Basin (Japan) in terms of topographical and hydrogeological conditions. A regional groundwater flow and heat transport model was constructed for the Sendai Plain. Suitability assessment was conducted for an identical closed-loop system by preparing the distribution maps of heat exchange rate for space heating for the plain and basin. For both locations, the upstream area showed a higher heat exchange rate than the downstream area. Multiple regression analysis was conducted using heat exchange rate as a response variable. Average groundwater flow velocity and average subsurface temperature were considered as explanatory variables. The heat exchange rate for the plain, whose Péclet number ranged from 3.5 × 10 −3 –7.3 × 10 −2 , was affected by groundwater flow velocity and subsurface temperature. The exchange rate for the basin, whose Péclet number ranged from 8.5 × 10 −2 –5.8 × 10 −1 , was affected by groundwater flow velocity. Inland basins are likely to be more suitable for GSHP system installation utilizing groundwater flow than coastal plains in terms of inclination of slope. This study showed that multiple regression analysis can reveal factors affecting the heat exchange rate as well as the degree to which they affect it.

Suggested Citation

  • Shohei Kaneko & Youhei Uchida & Gaurav Shrestha & Takeshi Ishihara & Mayumi Yoshioka, 2018. "Factors Affecting the Installation Potential of Ground Source Heat Pump Systems: A Comparative Study for the Sendai Plain and Aizu Basin, Japan," Energies, MDPI, vol. 11(10), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2860-:d:177451
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    References listed on IDEAS

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    3. Takeshi Ishihara & Gaurav Shrestha & Shohei Kaneko & Youhei Uchida, 2018. "Analysis of Shallow Subsurface Geological Structures and Ground Effective Thermal Conductivity for the Evaluation of Ground-Source Heat Pump System Installation in the Aizu Basin, Northeast Japan," Energies, MDPI, vol. 11(8), pages 1-14, August.
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    6. Gaurav Shrestha & Youhei Uchida & Takeshi Ishihara & Shohei Kaneko & Satoru Kuronuma, 2018. "Assessment of the Installation Potential of a Ground Source Heat Pump System Based on the Groundwater Condition in the Aizu Basin, Japan," Energies, MDPI, vol. 11(5), pages 1-14, May.
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    Cited by:

    1. Gaurav Shrestha & Mayumi Yoshioka & Hikari Fujii & Youhei Uchida, 2020. "Evaluation of Suitable Areas to Introduce a Closed-Loop Ground Source Heat Pump System in the Case of a Standard Japanese Detached Residence," Energies, MDPI, vol. 13(17), pages 1-15, August.
    2. Shohei Kaneko & Akira Tomigashi & Takeshi Ishihara & Gaurav Shrestha & Mayumi Yoshioka & Youhei Uchida, 2020. "Proposal for a Method Predicting Suitable Areas for Installation of Ground-Source Heat Pump Systems Based on Response Surface Methodology," Energies, MDPI, vol. 13(8), pages 1-18, April.
    3. Wenting Ma & Moon Keun Kim & Jianli Hao, 2019. "Numerical Simulation Modeling of a GSHP and WSHP System for an Office Building in the Hot Summer and Cold Winter Region of China: A Case Study in Suzhou," Sustainability, MDPI, vol. 11(12), pages 1-17, June.

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