Thermal modeling of LN2-cooled terminals with integrated heat exchangers for superconducting applications

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Abstract

This work presents a comprehensive modeling framework for conduction-cooled terminals with integrated subcooled liquid nitrogen (LN2)-driven heat exchangers (HXs), developed to support the thermal design of cryogenic power systems. The approach combines analytical, CFD-informed, and semi-empirical models to evaluate terminal performance under varying electrical loads and LN2 flow conditions. Three analytical models were assessed for estimating cold-end heat loads: the General Model (G.M.), which incorporates temperature-dependent material properties; the Averaged Model (A.M.); and the Wiedemann-Franz Model (W.-F.M.). At 1300 A, the A.M. and W.-F.M. overpredict the cold-end heat load by factors of approximately 12 and 16, respectively, compared to the G.M. (52.5 W and 69 W vs. 4.4 W), emphasizing the importance of resolving axial heat redistribution. Validated high-fidelity CFD simulations for the HX-2-8 configuration captured conjugate heat transfer, resistive heating, and entrance flow effects. The turbulent Prandtl number (PrT) was selected through an iterative calibration process based on simulated thermal gradients and solid–liquid interface behavior, where the standard k–ε model with a constant Prandtl number of 0.85 yielded stable and physically consistent results. A tailored semi-empirical model further revealed a counterintuitive phenomenon: under certain conditions, the copper structure locally cools the LN2, which is driven by strong axial conduction and spatial temperature gradients. The presented framework enables accurate prediction of thermal boundaries and supports geometry-specific optimization. It provides both physical insight and practical utility in the design of next-generation cryogenic terminals for superconducting power systems.

Original languageEnglish
Article number127491
JournalApplied thermal engineering
Volume279
Issue numberPart A
Early online date11 Jul 2025
DOIs
Publication statusPublished - 15 Nov 2025

Keywords

  • UT-Hybrid-D
  • Heat exchanger
  • RANS simulation
  • Subcooled nitrogen
  • Turbulent Prandtl number
  • Current lead optimization

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