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Efficiency of and interference among multiple Aquifer Thermal Energy Storage systems; A Dutch case study

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  • Bakr, Mahmoud
  • van Oostrom, Niels
  • Sommer, Wijb

Abstract

This paper describes the analysis of a real case of multiple Aquifer Thermal Energy Storage systems. The Hague, the capital city of the province of South Holland in the Netherlands, is densely populated with many ATES systems. A total of 19 ATES systems are installed in an area of 3.8 km2 with a total of 76 functioning wells. The analysis focuses on the development of a coupled groundwater flow and heat transfer model over a period of 10 years. Results are then post-processed to evaluate efficiency of each individual well and system. Efficiency of the ATES systems has ranged between 68% and 87%. The analysis showed that efficiency tends, in general, to increase over time and stabilize at an asymptotic value after few years. Analysis of interference among individual wells of an ATES system and wells of other systems showed that interference could, in fact, have a positive impact on the efficiency of a well/system. Interference can increase efficiency of an ATES system since it can help in trapping energy (cold or warm) within the capture zone of all operating ATES systems. In the study area, the interference phenomenon affects efficiency, in general, positively where it increases the efficiency of individually operating wells by a maximum of 20%. However, the phenomenon also affects efficiency of some wells negatively where it reduces the efficiency of individually operating wells by a maximum of 25%. In average, systems in the study area are positively affected by interferences among each other with an overall average of 3.2% for all wells (over the 10 years operation period).

Suggested Citation

  • Bakr, Mahmoud & van Oostrom, Niels & Sommer, Wijb, 2013. "Efficiency of and interference among multiple Aquifer Thermal Energy Storage systems; A Dutch case study," Renewable Energy, Elsevier, vol. 60(C), pages 53-62.
    • Handle: RePEc:eee:renene:v:60:y:2013:i:c:p:53-62
    DOI: 10.1016/j.renene.2013.04.004
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    Citations

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    Cited by:

    1. Sommer, Wijbrand & Valstar, Johan & Leusbrock, Ingo & Grotenhuis, Tim & Rijnaarts, Huub, 2015. "Optimization and spatial pattern of large-scale aquifer thermal energy storage," Applied Energy, Elsevier, vol. 137(C), pages 322-337.
    2. 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.
    3. Mahon, Harry & O'Connor, Dominic & Friedrich, Daniel & Hughes, Ben, 2022. "A review of thermal energy storage technologies for seasonal loops," Energy, Elsevier, vol. 239(PC).
    4. Allegrini, Jonas & Orehounig, Kristina & Mavromatidis, Georgios & Ruesch, Florian & Dorer, Viktor & Evins, Ralph, 2015. "A review of modelling approaches and tools for the simulation of district-scale energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1391-1404.
    5. Kai Stricker & Jens C. Grimmer & Robert Egert & Judith Bremer & Maziar Gholami Korzani & Eva Schill & Thomas Kohl, 2020. "The Potential of Depleted Oil Reservoirs for High-Temperature Storage Systems," Energies, MDPI, vol. 13(24), pages 1-26, December.
    6. 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.
    7. 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.
    8. Kazemi, A.R. & Mahbaz, S.B. & Dehghani-Sanij, A.R. & Dusseault, M.B. & Fraser, R., 2019. "Performance Evaluation of an Enhanced Geothermal System in the Western Canada Sedimentary Basin," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    9. 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).
    10. Guelpa, Elisa & Verda, Vittorio, 2019. "Thermal energy storage in district heating and cooling systems: A review," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    11. Chen, Kecheng & Sun, Xiang & Soga, Kenichi & Nico, Peter S. & Dobson, Patrick F., 2024. "Machine-learning-assisted long-term G functions for bidirectional aquifer thermal energy storage system operation," Energy, Elsevier, vol. 301(C).
    12. 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.
    13. Rapantova, Nada & Pospisil, Pavel & Koziorek, Jiri & Vojcinak, Petr & Grycz, David & Rozehnal, Zdenek, 2016. "Optimisation of experimental operation of borehole thermal energy storage," Applied Energy, Elsevier, vol. 181(C), pages 464-476.
    14. 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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