首页> 外文会议>Symposium of Malaysian Chemical Engineers >Modeling of CO2 Adsorption on Activated Carbon and 13X Zeolite via Vacuum Swing Adsorption
【24h】

Modeling of CO2 Adsorption on Activated Carbon and 13X Zeolite via Vacuum Swing Adsorption

机译:通过真空回升吸附对活性炭和13x沸石的CO2吸附的建模

获取原文

摘要

Due to carbon dioxide role in global warming, low CO2 emission limits have been established in recent years. This has led to a variety of studies on CO2 removal approaches. In this study, a VSA cycle consisting of two packed beds is considered for CO2 removal from flue gas. An atmospheric stream containing 20% CO2 and 80% N2 is fed to the beds at 50°C. Two adsorbents, namely Zeolite 13X and activated carbon were selected to compare their performance. Due to the monolayer adsorption of CO2 and N2 on these adsorbents, the Toth isotherm was used for equilibrium adsorption estimation. A quasi-second order model was considered for the mass transfer rate prediction due to low CO2 concentration. The modeling results showed that the average absolute deviation for equilibrium adsorption capacity prediction was 2%, and the CO2 breakthrough time curve was predicted with less than 2.5% deviation. Based on the results, the VSA cycle time for zeolite 13X bed will be 3.5 times of the activated carbon bed. Another advantage of Zeolite 13X is that in each process cycle, 80% of adsorbent will be used, while only 74% of activated carbon in beds is used. The advantage of activated carbon bed is its better regeneration capability, since the activated carbon will be regenerated 5% more than zeolite 13X at a vacuum pressure of 0.02bar.
机译:由于在全球变暖中的二氧化碳作用,近年来已经建立了低二氧化碳排放限制。这导致了关于二氧化碳去除方法的各种研究。在本研究中,考虑由两个填充床组成的VSA循环,用于从烟道气中除去CO 2。将含有20%CO 2和80%N 2的大气流送入床50℃。选择两种吸附剂,即沸石13x和活性炭以比较它们的性能。由于CO 2和N2对这些吸附剂的单层吸附,Toth等温线用于平衡吸附估计。由于低CO 2浓度,考虑了用于传质速率预测的准二阶模型。建模结果表明,平衡吸附容量预测的平均绝对偏差为2%,并且预测CO 2突破时间曲线,偏差小于2.5%。基于结果,沸石13x床的VSA循环时间将是活性炭床的3.5倍。沸石13x的另一个优点是,在每个过程循环中,将使用80%的吸附剂,而仅使用74%的床中的活性炭。活性炭床的优点是其更好的再生能力,因为活性炭将在0.02bar的真空压力下再生5%而不是沸石13x。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号