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Dense discrete phase model simulations of CO2 capture process in a fluidized bed absorber with potassium-based solid sorbent

机译:用钾的固体吸附剂流化床吸收器中CO2捕获过程的密集离散相模拟

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摘要

Chemical absorption using potassium-based sorbents is an effective method of low-temperature CO2 capture during the post-combustion process. In this work, a three-dimensional simulation is carried out to investigate the CO2 capture process with potassium-based sorbents in a fluidized bed absorber. The Dense Discrete Phase Model (DDPM) is employed to account for the effect of sorbent size distribution. The model prediction can give a good agreement with experimental data. The effects of sorbent size distribution on the temperature field and CO2 concentration are evaluated. Meanwhile, the influence of operating velocity on sorbent size distribution and bed expansion is also examined. The result reveals that the mean diameter of particles at the bed bottom will be weakened as operating velocity increases. (C) 2019 Elsevier B.V. All rights reserved.
机译:使用基于钾的吸附剂的化学吸收是在燃烧后工艺期间低温CO2捕获的有效方法。 在这项工作中,进行了三维模拟,以研究在流化床吸收器中用基于钾的吸附剂进行CO2捕获过程。 使用密集的离散相模型(DDPM)来考虑吸附剂尺寸分布的影响。 模型预测可以与实验数据提供良好的一致性。 评价吸附剂尺寸分布对温度场和CO 2浓度的影响。 同时,还检查了操作速度对吸附剂尺寸分布和床膨胀的影响。 结果表明,随着操作速度的增加,床底部的颗粒的平均直径将被削弱。 (c)2019年Elsevier B.V.保留所有权利。

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