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Development of a simulation-optimization model for sustainable operation of groundwater heat pump system

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  • Park, Dong Kyu
  • Kaown, Dugin
  • Lee, Kang-Kun

Abstract

Groundwater heat pump (GWHP) system directly uses a stable temperature of groundwater for cooling and heating of buildings or districts. In this study, a simulation-optimization model for the sustainable operation of GWHP system was developed. The simulation model computed the coupled groundwater flow and heat transport with considering thermal recycling. As an optimization technique, genetic algorithm was linked with the simulation model. The developed model can determine the optimal extraction and injection rates of GWHP system to maximize system performance and efficiency, to maintain stable operation, and to minimize costs and environmental impacts. Assuming a 2D hypothetical aquifer, it was demonstrated how the optimal operation of GWHP system obtained from the model can be changed according to several operational and hydrogeological conditions, including well distance, regulation on injection water temperature, hydraulic conductivity, and regional hydraulic gradient. The results highlighted a necessity to determine an operational strategy of GWHP system through the optimization able to consider site-specific condition. In addition, the performance and capability of the developed model were demonstrated by obtaining the optimal strategy for the cooling operation of a research-oriented GWHP facility installed in Korea.

Suggested Citation

  • Park, Dong Kyu & Kaown, Dugin & Lee, Kang-Kun, 2020. "Development of a simulation-optimization model for sustainable operation of groundwater heat pump system," Renewable Energy, Elsevier, vol. 145(C), pages 585-595.
    • Handle: RePEc:eee:renene:v:145:y:2020:i:c:p:585-595
    DOI: 10.1016/j.renene.2019.06.039
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    Cited by:

    1. Ferrara, Maria & Della Santa, Francesco & Bilardo, Matteo & De Gregorio, Alessandro & Mastropietro, Antonio & Fugacci, Ulderico & Vaccarino, Francesco & Fabrizio, Enrico, 2021. "Design optimization of renewable energy systems for NZEBs based on deep residual learning," Renewable Energy, Elsevier, vol. 176(C), pages 590-605.
    2. Davide Cappellari & Leonardo Piccinini & Alessandro Pontin & Paolo Fabbri, 2022. "Sustainability of an Open-Loop GWHP System in an Italian Alpine Valley," Sustainability, MDPI, vol. 15(1), pages 1-28, December.
    3. Manon Bulté & Thierry Duren & Olivier Bouhon & Estelle Petitclerc & Mathieu Agniel & Alain Dassargues, 2021. "Numerical Modeling of the Interference of Thermally Unbalanced Aquifer Thermal Energy Storage Systems in Brussels (Belgium)," Energies, MDPI, vol. 14(19), pages 1-17, September.
    4. Taha Sezer & Abubakar Kawuwa Sani & Rao Martand Singh & Liang Cui, 2023. "Laboratory Investigation of Impact of Injection–Abstraction Rate and Groundwater Flow Velocity on Groundwater Heat Pump Performance," Energies, MDPI, vol. 16(19), pages 1-19, October.
    5. Halilovic, Smajil & Böttcher, Fabian & Zosseder, Kai & Hamacher, Thomas, 2023. "Optimizing the spatial arrangement of groundwater heat pumps and their well locations," Renewable Energy, Elsevier, vol. 217(C).

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