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A network-based methodology for the simulation of borehole heat storage systems

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  • Lazzarotto, Alberto

Abstract

The optimization of strategies to operate borehole thermal energy storage systems can play an important role for the exploitation of this technology. Available tools utilized for the design of borehole fields don't consider these aspects in the calculation. For this reason a network-based methodology which gives a sufficient level of detail to describe different system operation strategies has been developed. In particular, the method allows to calculate how the heat is distributed among the borehole heat exchangers in the field according to the way the brine is supplied to the borehole heat storage system. This enables to test the same borehole field configuration pattern for different piping arrangement. An example of application where a simultaneous need of heating and cooling is met by extracting and injecting heat in different region of the ground storage is considered to illustrate the potential of the method.

Suggested Citation

  • Lazzarotto, Alberto, 2014. "A network-based methodology for the simulation of borehole heat storage systems," Renewable Energy, Elsevier, vol. 62(C), pages 265-275.
    • Handle: RePEc:eee:renene:v:62:y:2014:i:c:p:265-275
    DOI: 10.1016/j.renene.2013.07.020
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    References listed on IDEAS

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    1. Yang, H. & Cui, P. & Fang, Z., 2010. "Vertical-borehole ground-coupled heat pumps: A review of models and systems," Applied Energy, Elsevier, vol. 87(1), pages 16-27, January.
    2. Marcotte, D. & Pasquier, P. & Sheriff, F. & Bernier, M., 2010. "The importance of axial effects for borehole design of geothermal heat-pump systems," Renewable Energy, Elsevier, vol. 35(4), pages 763-770.
    3. Lamarche, Louis, 2009. "A fast algorithm for the hourly simulations of ground-source heat pumps using arbitrary response factors," Renewable Energy, Elsevier, vol. 34(10), pages 2252-2258.
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    Citations

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    Cited by:

    1. Rivera, Jaime A. & Blum, Philipp & Bayer, Peter, 2017. "Increased ground temperatures in urban areas: Estimation of the technical geothermal potential," Renewable Energy, Elsevier, vol. 103(C), pages 388-400.
    2. Anjan Rao Puttige & Staffan Andersson & Ronny Östin & Thomas Olofsson, 2020. "A Novel Analytical-ANN Hybrid Model for Borehole Heat Exchanger," Energies, MDPI, vol. 13(23), pages 1-19, November.
    3. Rivera, Jaime A. & Blum, Philipp & Bayer, Peter, 2016. "A finite line source model with Cauchy-type top boundary conditions for simulating near surface effects on borehole heat exchangers," Energy, Elsevier, vol. 98(C), pages 50-63.
    4. Guo, Y. & Huang, G. & Liu, W.V., 2023. "A new semi-analytical solution addressing varying heat transfer rates for U-shaped vertical borehole heat exchangers in multilayered ground," Energy, Elsevier, vol. 274(C).
    5. Marcotte, D. & Pasquier, P., 2014. "Unit-response function for ground heat exchanger with parallel, series or mixed borehole arrangement," Renewable Energy, Elsevier, vol. 68(C), pages 14-24.
    6. Nilsson, Emil & Rohdin, Patrik, 2019. "Performance evaluation of an industrial borehole thermal energy storage (BTES) project – Experiences from the first seven years of operation," Renewable Energy, Elsevier, vol. 143(C), pages 1022-1034.
    7. Dusseault, Bernard & Pasquier, Philippe & Marcotte, Denis, 2018. "A block matrix formulation for efficient g-function construction," Renewable Energy, Elsevier, vol. 121(C), pages 249-260.
    8. Fossa, Marco & Priarone, Antonella, 2019. "Constant temperature response factors for fast calculation of sparse BHE field g-functions," Renewable Energy, Elsevier, vol. 131(C), pages 1236-1246.
    9. Cimmino, Massimo, 2024. "g-Functions for fields of series- and parallel-connected boreholes with variable fluid mass flow rate and reversible flow direction," Renewable Energy, Elsevier, vol. 228(C).

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