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A methodology for the calculation of response functions for geothermal fields with arbitrarily oriented boreholes – Part 1

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  • Lazzarotto, Alberto

Abstract

This article is part of a two paper series presenting a development in the methodology for the calculation of response functions for geothermal fields with arbitrarly oriented boreholes. In the method utilized, boreholes are represented as sets of stacked line sources and the borehole temperatures are calculated by means of a superposition procedure. This particular paper is focused on the efficient computation of the building block of this approach, which is the non dimensional mean temperature response g˜(t) along a finite line due to a step heat injection along a second finite line, where the lines are arbitrarily oriented.

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  • Lazzarotto, Alberto, 2016. "A methodology for the calculation of response functions for geothermal fields with arbitrarily oriented boreholes – Part 1," Renewable Energy, Elsevier, vol. 86(C), pages 1380-1393.
  • Handle: RePEc:eee:renene:v:86:y:2016:i:c:p:1380-1393
    DOI: 10.1016/j.renene.2015.09.056
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    References listed on IDEAS

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    1. Claesson, Johan & Eskilson, Per, 1988. "Conductive heat extraction to a deep borehole: Thermal analyses and dimensioning rules," Energy, Elsevier, vol. 13(6), pages 509-527.
    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.
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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. Fascì, Maria Letizia & Mazzotti Pallard, Willem & Lazzarotto, Alberto & Claesson, Joachim, 2023. "Temperature of energy boreholes accounting for climate change and the built environment – A new model for its estimation," Renewable Energy, Elsevier, vol. 202(C), pages 1479-1496.
    3. 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.

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