6–8 Oct 2026
ESA/ESTEC
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A Custom Two-Phase Nitrogen Property Library and Fluid-Solver-Free Reduced-Order Model for LN2 TVAC Cooling Prediction in ESATAN-TMS

8 Oct 2026, 17:15
30m
Newton (ESA/ESTEC)

Newton

ESA/ESTEC

thermal analysis and software tools Thermal Analysis

Speakers

Mr Thilan Chandika Ranasinghe Ranasinghe Arachchillage (Technical University of Munich)Mr Thilan Ranasinghe (Technical University of Munchen)

Description

Thermal Vacuum Chamber (TVAC) qualification of large-scale hardware such as solar arrays increasingly relies on two-phase liquid nitrogen (LN2) cooling systems to achieve cryogenic transients from ambient to below -180°C. High-fidelity ESATAN-TMS thermo-hydraulic simulation of these systems is computationally expensive, with a single two-phase fluid-network transient exceeding 13 hours of runtime, limiting iterative test-plan development and control-strategy evaluation.

As ESATAN-TMS's default fluid library does not include nitrogen for two-phase modelling, a custom nitrogen thermophysical property library was developed from NIST real-gas reference data (4-0.1 bar, -190°C to +180°C), using a positive-definite enthalpy reference to eliminate sign-convention errors in energy-balance calculations. The library was validated through staged checks: known-power-input response, correct isothermal saturation behaviour across the two-phase regime, and round-trip consistency against the source pressure-enthalpy data.

Building on this library, a reduced-order model (ROM) was developed that eliminates the fluid solver entirely while preserving full closed-loop control for shroud heating and LN2 mass flow regulation. The fluid domain is represented as an imaginary node co-located within the existing thermal network, updated via energy-balance/enthalpy tracking against the custom library rather than a solved momentum/continuity field. A film-temperature-dependent heat transfer coefficient is applied within the node power calculation, mapped via a custom subroutine built from three correlations derived from initial two-phase simulation results across the loop's liquid, two-phase, and vapour regimes. The power calculation itself takes the minimum of a convective estimate ($Q = hA\Delta T$) and a mass-flow enthalpy estimate ($Q = \dot{m}\Delta H$), preserving the dominant physics without re-solving the flow field. Valve-induced pressure drop is represented as a calibrated saturation-temperature offset (-185°C at full line pressure, 3.15 bar, dropping to -190°C under throttled flow control), preserving the dominant thermodynamic effect of valve operation without solving for the pressure field directly. Mass flow boundary conditions were derived from full two-phase simulation results (lower bound) and empirical LN2 tank depletion during chamber operation (upper bound). The solar array payload was represented using effective front/rear thermal properties from manufacturer-supplied material test data.

The cooling-phase ROM described in this abstract was correlated and integrated with automated heating-phase control to form the predictive model. This predictive model was independently validated against a test not used in model development. The predictive model correctly predicted an anomalous heating behaviour during hot-dwell — one panel sensor failed to reach its target set-point — matching the observed deviation to within 0.262°C. A 40-45-minute cold-dwell timing discrepancy was attributed to overcooling-protection heater sensitivity combined with the simplified payload representation. The approach reduces simulation runtime from over 13 hours to under 1 hour — a >13x speedup — while retaining predictive accuracy sufficient for test-plan optimization and control-strategy trade studies ahead of future payload campaigns.

Keywords: ESATAN-TMS, Reduced-Order Modelling, Two-Phase Cryogenic Simulation, TVAC, Nitrogen Property Library, Heat Transfer Coefficient Mapping, PID Control

Authors

Mr Thilan Chandika Ranasinghe Ranasinghe Arachchillage (Technical University of Munich) Mr Thilan Ranasinghe (Technical University of Munchen)

Co-authors

Prof. Alessandro Golkar (Technical University of Munich) Dr Lars Tiedemann (SpaceTech GmbH)

Presentation materials