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High-order optimization of bicubic parametric convergent curves for carbon capture nozzles in hydrogen-rich fuel

Supersonic condensation separation is a potential environmentally-friendly hydrogen purification and CO2 capture technology. Among them, the nozzle contraction structure is essential in creating conditions conducive to CO2 condensation. In this study, the H2–CO2 binary condensate flow model based on...

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Bibliographic Details
Published in:International journal of hydrogen energy 2024-01, Vol.50, p.471-492
Main Authors: Han, Chenyu, Jiang, Wenming, Liu, Yang, Dou, Zhuoying, Shao, Boyan
Format: Article
Language:English
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Summary:Supersonic condensation separation is a potential environmentally-friendly hydrogen purification and CO2 capture technology. Among them, the nozzle contraction structure is essential in creating conditions conducive to CO2 condensation. In this study, the H2–CO2 binary condensate flow model based on the condensation dynamics theory was used to predict the influence of the contraction curve on the condensation parameters. Furthermore, this paper proposed a combined high-order curve correction method based on the standard Bicubic parametric curve and summarized the universal formula of the High-order correction curve (HOCC). Furthermore, the influence law of the correction exponent and quantile location on the hydrogen-rich fuel gas decarburization performance was further obtained through numerical calculation. After two-stage optimization, the HOCC n = 7 xm = 0.35 structure can improve the decarburization performance of the supersonic purification device by 7.44%. Moreover, the H2–CO2 condensate flow will not flow separation in the nozzle. •Develop a nonequilibrium condensation numerical model of CO2 in H2-rich fuel.•Potential hydrogen purification and carbon capture clean approach.•Clarified influence law of contraction curve on CO2 condensation in H2-rich fuel.•Corrected the Bicubic parametric curve and defined the best exponent and quantile.•The optimized HOCC curve improves the CO2 capture efficiency by 7.44%.
ISSN:0360-3199
DOI:10.1016/j.ijhydene.2023.07.133