首页> 外文期刊>Catalysis Today >Membrane processes for effective methanol synthesis in the forest based biorefinery
【24h】

Membrane processes for effective methanol synthesis in the forest based biorefinery

机译:在森林生物精炼厂中有效合成甲醇的膜工艺

获取原文
获取原文并翻译 | 示例
           

摘要

ZSM-5 membranes were prepared and their performance for methanol separations from synthesis gas was evaluated. The experimentally observed permeances at room temperature for the ZSM-5 membranes were 0.3,1,12 and 18 x 10~(-7) molm~(-2) s~(-1) Pa~(-1) for H2, CO2, CH3OH and H2O, respectively, which resulted in a separation factor a methanol/H2 of about 30. For a stoichiometric feed, the one pass CO_x-conversion for a traditional methanol process is about 26% per pass, which requires a recirculation loop with the associated disadvantages. By assuming that the same membrane performance could be obtained at industrial conditions, it was shown by mathematical modeling that a ZSM-5 membrane reactor could reach 97% CO_x-conversion per pass, while a ZSM-5 membrane module process could reach 81 % conversion per pass for a stoichiometric feed. As a result of the high conversion per pass for the membrane processes, one pass design with the associated advantages is possible for these processes. A membrane module based system is preferable over a membrane reactor of practical reasons. However, similar performance to the membrane processes can of course be achieved with a one pass process comprised of a series of methanol reactors, reactor effluent heat exchangers, coolers and condensers.
机译:制备了ZSM-5膜,并评估了其从合成气中分离甲醇的性能。 ZSM-5膜在室温下的实验渗透率为0.3、1、12和18 x 10〜(-7)mol〜(-2)s〜(-1)Pa〜(-1)对H2,CO2 ,CH3OH和H2O分别产生约30的甲醇/ H2分离系数。对于化学计量进料,传统甲醇工艺的单程CO_x转化率为每程约26%,这需要使用相关的缺点。通过假设在工业条件下可以获得相同的膜性能,数学模型表明ZSM-5膜反应器每遍可达到97%的CO_x转化率,而ZSM-5膜组件工艺可达到81%的转化率化学计量饲料的每次通过。由于膜工艺的单程高转化率,对于这些工艺来说,具有相关优点的单程设计是可能的。出于实际原因,基于膜组件的系统优于膜反应器。但是,当然可以通过由一系列甲醇反应器,反应器流出的热交换器,冷却器和冷凝器组成的单程方法获得与膜法相似的性能。

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