Thermal analysis of satellites

JAXA Supercomputer System Annual Report February 2024-January 2025

Report Number: R24EDG20108

Subject Category: Research and Development

Responsible Representative: Seiji Tsutsumi, Research and Development Directorate, Research Unit III
Contact Information: tsutsumi.seiji@jaxa.jp(tsutsumi.seiji@jaxa.jp)
Members: Masaharu Abe, Kengo Asada, Seiji Tsutsumi

Abstract

A high-precision, non-equilibrium thermal analysis model is developed for heat accumulators using PCM (Phase Change Material). And, the coupled analysis technology and real-time analysis technology of the thermal fluid region connected to the space vehicle digital twin are acquired.

Reference URL

N/A

Reasons and benefits of using JAXA Supercomputer System

In this study, the Enthalpy-Porosity method was employed with ANSYS Fluent whose licenses JSS3 had. In addition, parallel supercomputers of JSS3 was used to obtain the result.

Achievements of the Year

Reduced-order models using PINNs (Physics-Informed Neural Networks) and SINDy (Sparse Identification of Nonlinear Dynamics) to enable real-time thermo-fluid coupled analysis of PCM thermal storage systems were studied. The training data were generated through coupled thermo-fluid simulations. In the case of SINDy, separate models were created for the metallic (solid) part of the thermal storage unit and the phase-change material, and these were coupled together. As a result, in a simplified one-dimensional problem of the PCM thermal storage system, the model was able to predict temperature changes with an error of less than 3 K (Fig. 1), achieving a speedup of approximately 380 times compared to CFD-based analysis.

Fig.1: Prediction result of temperature using SINDy.

Publications

N/A

Usage of JSS

Computational Information

Process Parallelization Methods: 0
Thread Parallelization Methods: N/A
Number of Processes: 4 – 8
Elapsed Time per Case: 80 Hour(s)

JSS3 Resources Used

Fraction of Usage in Total Resources*1(%): 0.01

Details

Please refer to System Configuration of JSS3 for the system configuration and major specifications of JSS3.

Computational Resources
System Name	CPU Resources Used (Core x Hours)	Fraction of Usage*2(%)
TOKI-SORA	0.00	0.00
TOKI-ST	5427.46	0.01
TOKI-GP	0.00	0.00
TOKI-XM	0.00	0.00
TOKI-LM	0.00	0.00
TOKI-TST	0.00	0.00
TOKI-TGP	0.00	0.00
TOKI-TLM	0.00	0.00

File System Resources
File System Name	Storage Assigned (GiB)	Fraction of Usage*2(%)
/home	45.44	0.03
/data and /data2	4570.97	0.02
/ssd	0.00	0.00

Archiver Resources
Archiver Name	Storage Used (TiB)	Fraction of Usage*2(%)
J-SPACE	91.18	0.30

*1: Fraction of Usage in Total Resources: Weighted average of three resource types (Computing, File System, and Archiver).

*2: Fraction of Usage：Percentage of usage relative to each resource used in one year.

ISV Software Licenses Used

ISV Software Licenses Resources
	ISV Software Licenses Used (Hours)	Fraction of Usage*2(%)
ISV Software Licenses (Total)	1038.57	0.71

*2: Fraction of Usage：Percentage of usage relative to each resource used in one year.