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Study of effective solar energy storage using a double pipe geothermal heat exchanger

Author

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  • Templeton, J.D.
  • Hassani, F.
  • Ghoreishi-Madiseh, S.A.

Abstract

A reliable transient heat transfer model is used to ascertain the effect of solar thermal energy storage on a geothermal system. The proposed closed loop system is comprised of a double pipe heat exchanger, and is supplied with solar thermal energy during the summer months. The numerical simulations are based on cases that are common in northern climates (e.g. Canada). A conduction-advection based model is used to simulate heat transfer in the ground and in the heat exchange pipes for both heat extraction and heat injection scenarios. The constant power configuration is employed to accurately assess the effects of injecting thermal energy into a geothermal resource. The mass flow rate through the heat exchanger and the solar energy input are varied during summer cycles to investigate the influence on the uptake of thermal energy into the geothermal resource. The effects of rate of heat extraction and injection on the techno-economic performance of geothermal energy production have been investigated.

Suggested Citation

  • Templeton, J.D. & Hassani, F. & Ghoreishi-Madiseh, S.A., 2016. "Study of effective solar energy storage using a double pipe geothermal heat exchanger," Renewable Energy, Elsevier, vol. 86(C), pages 173-181.
    • Handle: RePEc:eee:renene:v:86:y:2016:i:c:p:173-181
    DOI: 10.1016/j.renene.2015.08.024
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    References listed on IDEAS

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    Cited by:

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    4. Baidya, Durjoy & de Brito, Marco Antonio Rodrigues & Ghoreishi-Madiseh, Seyed Ali, 2020. "Techno-economic feasibility investigation of incorporating an energy storage with an exhaust heat recovery system for underground mines in cold climatic regions," Applied Energy, Elsevier, vol. 273(C).
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    6. Nian, Yong-Le & Cheng, Wen-Long, 2018. "Insights into geothermal utilization of abandoned oil and gas wells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 87(C), pages 44-60.
    7. Kędzierski, Piotr & Nagórski, Zdzisław & Niezgoda, Tadeusz, 2016. "Determination of local values of heat transfer coefficient in geothermal models with internal functions method," Renewable Energy, Elsevier, vol. 92(C), pages 506-516.
    8. Zhu, Jiaoyiling & Hu, Weihao & Xu, Xiao & Liu, Haoming & Pan, Li & Fan, Haoyang & Zhang, Zhenyuan & Chen, Zhe, 2022. "Optimal scheduling of a wind energy dominated distribution network via a deep reinforcement learning approach," Renewable Energy, Elsevier, vol. 201(P1), pages 792-801.
    9. Mamourian, Mojtaba & Milani Shirvan, Kamel & Mirzakhanlari, Soroush, 2016. "Two phase simulation and sensitivity analysis of effective parameters on turbulent combined heat transfer and pressure drop in a solar heat exchanger filled with nanofluid by Response Surface Methodol," Energy, Elsevier, vol. 109(C), pages 49-61.
    10. Abbas, Zulkarnain & Yong, Li & Abbas, Saqlain & Chen, Dongwen & Li, Y. & Wang, R.Z., 2021. "Performance analysis of seasonal soil heat storage system based on numerical simulation and experimental investigation," Renewable Energy, Elsevier, vol. 178(C), pages 66-78.

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