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Realistic simulation of an aquifer thermal energy storage: Effects of injection temperature, well placement and groundwater flow

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  • Yapparova, Alina
  • Matthäi, Stephan
  • Driesner, Thomas

Abstract

To optimize the behaviour of an ATES (aquifer thermal energy storage), to estimate its efficiency and to identify the optimal well locations, the planned installation was simulated with a FE-FV (finite element-finite volume) simulator with realistic water properties, created on the basis of the CSMP++ (Complex Systems Modelling Platform) software library.

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  • Yapparova, Alina & Matthäi, Stephan & Driesner, Thomas, 2014. "Realistic simulation of an aquifer thermal energy storage: Effects of injection temperature, well placement and groundwater flow," Energy, Elsevier, vol. 76(C), pages 1011-1018.
    • Handle: RePEc:eee:energy:v:76:y:2014:i:c:p:1011-1018
    DOI: 10.1016/j.energy.2014.09.018
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    References listed on IDEAS

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    1. Xiao, Xiao & Jiang, Zhenjiao & Owen, Daniel & Schrank, Christoph, 2016. "Numerical simulation of a high-temperature aquifer thermal energy storage system coupled with heating and cooling of a thermal plant in a cold region, China," Energy, Elsevier, vol. 112(C), pages 443-456.
    2. Shi, Yu & Cui, Qiliang & Song, Xianzhi & Liu, Shaomin & Yang, Zijiang & Peng, Junlan & Wang, Lizhi & Guo, Yanchun, 2023. "Thermal performance of the aquifer thermal energy storage system considering vertical heat losses through aquitards," Renewable Energy, Elsevier, vol. 207(C), pages 447-460.
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    4. Kastner, O. & Norden, B. & Klapperer, S. & Park, S. & Urpi, L. & Cacace, M. & Blöcher, G., 2017. "Thermal solar energy storage in Jurassic aquifers in Northeastern Germany: A simulation study," Renewable Energy, Elsevier, vol. 104(C), pages 290-306.
    5. Jin, Wencheng & Atkinson, Trevor A. & Doughty, Christine & Neupane, Ghanashyam & Spycher, Nicolas & McLing, Travis L. & Dobson, Patrick F. & Smith, Robert & Podgorney, Robert, 2022. "Machine-learning-assisted high-temperature reservoir thermal energy storage optimization," Renewable Energy, Elsevier, vol. 197(C), pages 384-397.
    6. Liu, Xueling & Wang, Yuanming & Li, Shuai & Jiang, Xin & Fu, Weijuan, 2020. "The influence of reinjection and hydrogeological parameters on thermal energy storage in brine aquifer," Applied Energy, Elsevier, vol. 278(C).
    7. Xie, Kun & Nian, Yong-Le & Cheng, Wen-Long, 2018. "Analysis and optimization of underground thermal energy storage using depleted oil wells," Energy, Elsevier, vol. 163(C), pages 1006-1016.
    8. Fleuchaus, Paul & Schüppler, Simon & Godschalk, Bas & Bakema, Guido & Blum, Philipp, 2020. "Performance analysis of Aquifer Thermal Energy Storage (ATES)," Renewable Energy, Elsevier, vol. 146(C), pages 1536-1548.
    9. Jeon, Jun-Seo & Lee, Seung-Rae & Pasquinelli, Lisa & Fabricius, Ida Lykke, 2015. "Sensitivity analysis of recovery efficiency in high-temperature aquifer thermal energy storage with single well," Energy, Elsevier, vol. 90(P2), pages 1349-1359.
    10. Jiang, Zhenjiao & Xu, Tianfu & Wang, Yong, 2019. "Enhancing heat production by managing heat and water flow in confined geothermal aquifers," Renewable Energy, Elsevier, vol. 142(C), pages 684-694.
    11. Fleuchaus, Paul & Godschalk, Bas & Stober, Ingrid & Blum, Philipp, 2018. "Worldwide application of aquifer thermal energy storage – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 861-876.

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