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Numerical study of the deep removal of R134a from non-condensable gas mixture by cryogenic condensation and de-sublimation

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Chinese Journal of Chemical Engineering 2023年第9期61卷 180-191页

作者： Hongbo Tan Boshi Shao Na Wen Department of Refrigeration and Cryogenic Engineering School of Energy and Power EngineeringXi’an Jiaotong UniversityXi’an 710049China

Nowadays,the limits on greenhouse gas emissions are becoming increasingly *** present research,a two-dimensional numerical model was established to simulate the deep removal of 1,1,1,2-tetrafluoroethane(R134a)from the non-condensable gas(NCG)mixture by cryogenic condensation and *** wall condensation method was compiled into the Fluent software to calculate the condensation of R134a from the gas ***,the saturated thermodynamic properties of R134a under its triple point were extrapolated by the equation of *** simulation of the steam condensation with NCG was conducted to verify the validity of the model,the results matched well with the experimental ***,the condensation characteristics of R134a with NCG and the thermodynamic parameters affecting condensation were *** results show that the section with relatively higher removal efficiency is usually near the *** cold wall temperature has a great influence on the R134a removal performance,e.g.,a 15 K reduction of the wall temperature brings a reduction in the outlet R134a molar fraction by 85.43%.The effect of changing mass flow rate on R134a removal is mainly reflected at the outlet,where an increase in mass flow rate of 12.6% can aggravate the outlet molar fraction to 210.3% of the *** research can provide a valuable reference for the simulation of the deep removal of various low-concentration gas using condensation and de-sublimation methods.

关键词： Numerical simulation Greenhouse gas Condensation De-sublimation vapor deep removal Non-condensable gas

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