Cryogenic systems, used in industries such as medicine, electronics, and space exploration, have grown in importance over the years. Recently, the push for greener energy and efficient storage solutions has brought them into focus in aerospace and aviation. For space applications, reusable launch systems require advanced modeling to predict and manage complex phenomena, such as thermal dynamics and propellant behavior under varying conditions. Meanwhile, the aviation sector is exploring hydrogen as a clean fuel, which requires addressing boil-off losses and storage efficiency. This study compares three simplified numerical methods for modeling cryogenic storage systems - BoilFAST, CryoTank, and Simcenter Amesim - selected for their rapid and reliable predictions with low computational cost. The models are compared against the same test cases to assess how their different modeling approaches result in varying levels of accuracy and computational efficiency for specific configurations and scenarios. By evaluating these models under conditions such as pressurization, sloshing, and filling, and accounting for variations in tank shape and fluid type, the study highlights their differing strengths. BoilFAST excels in steady-state evaluations and routine monitoring, CryoTank balances computational efficiency with accuracy for dynamic scenarios like pressure control and sloshing, and Simcenter Amesim provides detailed insights into complex processes such as pre-cooling and filling. These findings demonstrate practical improvements in predicting pressure dynamics and minimizing boil-off losses, directly enhancing hydrogen tank efficiency in aviation and space applications.
Comparison of Methods for Thermodynamic Modelling of Cryogenic Storage Systems for Aerospace Applications / Zumbo, Alessandra; Ferrero, Andrea; Masseni, Filippo; Pastrone, Dario. - ELETTRONICO. - (2025). (Intervento presentato al convegno AIAA Scitech 2025 Forum tenutosi a Orlando, FL (USA) nel 6-10 January 2025) [10.2514/6.2025-0568].
Comparison of Methods for Thermodynamic Modelling of Cryogenic Storage Systems for Aerospace Applications
Alessandra Zumbo;Andrea Ferrero;Filippo Masseni;Dario Pastrone
2025
Abstract
Cryogenic systems, used in industries such as medicine, electronics, and space exploration, have grown in importance over the years. Recently, the push for greener energy and efficient storage solutions has brought them into focus in aerospace and aviation. For space applications, reusable launch systems require advanced modeling to predict and manage complex phenomena, such as thermal dynamics and propellant behavior under varying conditions. Meanwhile, the aviation sector is exploring hydrogen as a clean fuel, which requires addressing boil-off losses and storage efficiency. This study compares three simplified numerical methods for modeling cryogenic storage systems - BoilFAST, CryoTank, and Simcenter Amesim - selected for their rapid and reliable predictions with low computational cost. The models are compared against the same test cases to assess how their different modeling approaches result in varying levels of accuracy and computational efficiency for specific configurations and scenarios. By evaluating these models under conditions such as pressurization, sloshing, and filling, and accounting for variations in tank shape and fluid type, the study highlights their differing strengths. BoilFAST excels in steady-state evaluations and routine monitoring, CryoTank balances computational efficiency with accuracy for dynamic scenarios like pressure control and sloshing, and Simcenter Amesim provides detailed insights into complex processes such as pre-cooling and filling. These findings demonstrate practical improvements in predicting pressure dynamics and minimizing boil-off losses, directly enhancing hydrogen tank efficiency in aviation and space applications.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2996891
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