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Minaei, A., Maerefat, M. (2017) Thermal resistance capacity model for short-term borehole heat exchanger simulation with non-stiff ordinary differential equations. Geothermics, 70. 260-270 doi:10.1016/j.geothermics.2017.06.011

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Reference TypeJournal (article/letter/editorial)
TitleThermal resistance capacity model for short-term borehole heat exchanger simulation with non-stiff ordinary differential equations
JournalGeothermics
AuthorsMinaei, A.Author
Maerefat, M.Author
Year2017 (November)Volume70
PublisherElsevier BV
DOIdoi:10.1016/j.geothermics.2017.06.011Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID8317069Long-form Identifiermindat:1:5:8317069:8
GUID0
Full ReferenceMinaei, A., Maerefat, M. (2017) Thermal resistance capacity model for short-term borehole heat exchanger simulation with non-stiff ordinary differential equations. Geothermics, 70. 260-270 doi:10.1016/j.geothermics.2017.06.011
Plain TextMinaei, A., Maerefat, M. (2017) Thermal resistance capacity model for short-term borehole heat exchanger simulation with non-stiff ordinary differential equations. Geothermics, 70. 260-270 doi:10.1016/j.geothermics.2017.06.011
In(n.d.) Geothermics Vol. 70. Elsevier BV

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Nguyen, A., Eslami-Nejad, P., Badache, M., Bastani, A. (2018) Pressure–enthalpy coupled thermal resistance and capacity model (PH-TRCM) for direct-expansion borehole heat exchangers: Application for supercritical CO2. Geothermics, 76. 50-59 doi:10.1016/j.geothermics.2018.06.007
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Focaccia, S., Tinti, F. (2013) An innovative Borehole Heat Exchanger configuration with improved heat transfer. Geothermics, 48. 93-100 doi:10.1016/j.geothermics.2013.06.003
Le Lous, Morgan, Larroque, François, Dupuy, Alain, Moignard, Adeline (2015) Thermal performance of a deep borehole heat exchanger: Insights from a synthetic coupled heat and flow model. Geothermics, 57. 157-172 doi:10.1016/j.geothermics.2015.06.014
King, Makarakreasey, Yune, Chan-Young (2024) Advanced machine learning techniques: Forecasting thermal resistance in borehole heat exchanger system through RSM and hybrid DFNN-GA approaches. Geothermics, 120. 103004 doi:10.1016/j.geothermics.2024.103004
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