Effect of the thermal insulation layer on non-equilibrium condensation in the nozzle for carbon capture

IF 3.8 3区 工程技术 Q3 ENERGY & FUELS Chemical Engineering and Processing - Process Intensification Pub Date : 2025-02-01 DOI:10.1016/j.cep.2024.110124
Xiaoyang Han, Tongsheng Wang, Zhiheng Wang, Jianan Chen, Zhu Huang
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Abstract

A non-equilibrium phase transition model, grounded in the classical theory of droplet nucleation and growth, is constructed for the prediction of condensation phenomena in supersonic flows by coupling transport equations with source terms. The study investigates the influence of nozzle insulation on the spontaneous condensation of CO2. Results show that the maximum supercooling in the non-insulated model is 6.3% higher than in the insulated model, which leads to earlier nucleation of gas in the non-insulated model. To investigate the impact of the condensation model on the gas expansion, a comparison is conducted between a single-phase flow model and a condensation flow model. The results indicate that the single-phase flow model neglects the latent heat released during condensation, leading to an overestimation of the flue gas expansion capacity inside the nozzle. The maximum deviation of the Mach number between the two models reaches 13%. Increasing inlet saturation from 0.172 to 0.222 results in a forward shift of the Wilson point and a decrease in the maximum nucleation rate from 1.3 × 1022 m-3s-1 to 5.2 × 1021 m-3s-1. However, the increase in saturation favors gas liquefaction, leading to a 34% increase in the maximum liquid fraction, from 0.065 to 0.087.

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来源期刊
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7.80
自引率
9.30%
发文量
408
审稿时长
49 days
期刊介绍: Chemical Engineering and Processing: Process Intensification is intended for practicing researchers in industry and academia, working in the field of Process Engineering and related to the subject of Process Intensification.Articles published in the Journal demonstrate how novel discoveries, developments and theories in the field of Process Engineering and in particular Process Intensification may be used for analysis and design of innovative equipment and processing methods with substantially improved sustainability, efficiency and environmental performance.
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