Heat dissipation capacity prediction and cooling adjustment using digital twin technologies for a typical space station cabin

• Published in: Journal of thermal analysis and calorimetry 2024, Vol.149 (11), p.5625-5639
• Main Authors: Yuan, Man, Li, Yun-Ze, Sun, Yuehang
• Format: Article
• Language: English
• Subjects: Absorptivity; Analytical Chemistry; Chemistry; Chemistry and Materials Science; Cooling; Digital twins; Energy storage; Enthalpy; Inorganic Chemistry; Measurement Science and Instrumentation; Orbits; Physical Chemistry; Polymer Sciences; Radiators; Space stations
• ISSN: 1388-6150; 1588-2926
• DOI: 10.1007/s10973-024-13109-4

The heat dissipation capacity prediction and cooling adjustment of the space station are rarely reported and are currently very urgent. Therefore, this paper does the following work. First, a twin system equivalent to the actual thermal system is built based on the digital twin technology, and the net heat dissipation capacity that can reflect the energy storage characteristics of the radiator and the total heat that can reflect the load changes in the cabin are identified. Then, the optimum operating state of the thermal system is planned by using the changing characteristics of the two, to predict the maximum heat dissipation capacity and heat dissipation margin of the space station. Finally, the cooling adjustment method is given. The results show that the heat dissipation capacity of the shadow area of the space station is about 16kW, which is about 1.5 times the sunlit area. The series control reduces the time difference between hot and cold source from 677 s to about 77 s. The radiator absorptivity is only increased by 0.15, and its accumulated heat dissipation will be reduced by 7.48 kWh in one orbital period. The radiator emissivity decreased by 0.05, and the accumulated heat dissipation decreased by 1.6 kWh. When the solar azimuth is 20° and 160°, the heat dissipation capacity ratio of the whole module in the sunlit zone is about 0.9 of a single orbital period. It is worth mentioning that the idea of heat dissipation capacity prediction and cooling adjustment proposed in this paper has important reference significance for both fluid network and non-fluid network structures.