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Modeling of Catalyst Deactivation in Bioethanol Dehydration Reactor
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2019-02-13 , DOI: 10.1021/acs.iecr.8b05699 Rafael Brandão Demuner 1 , Jeiveison Gobério Soares Santos Maia 1 , Argimiro Resende Secchi 1 , Príamo Albuquerque Melo 1 , Roberto Werneck do Carmo 2 , Gabriel Sabença Gusmão 2
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2019-02-13 , DOI: 10.1021/acs.iecr.8b05699 Rafael Brandão Demuner 1 , Jeiveison Gobério Soares Santos Maia 1 , Argimiro Resende Secchi 1 , Príamo Albuquerque Melo 1 , Roberto Werneck do Carmo 2 , Gabriel Sabença Gusmão 2
Affiliation
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The catalytic ethanol dehydration route is a reality for the production of polyethylene from renewable sources. Ethanol dehydration process is performed in the presence of acid catalysts, under temperatures ranging from 500 K to 800 K, obtaining ethylene selectivity ranging from 95% to 99% and ethanol conversion of >98%. Despite the favorable values of conversion and selectivity, catalyst deactivation by coking is a well-known phenomenon that occurs in this process. This phenomenon leads to catalyst regeneration cycles, given that the catalyst’s life cycle is dependent on the process operating conditions. Thus, obtaining a mathematical model to optimize the ethanol dehydration process is of great interest to industry, allowing process optimization and optimal design of reactors. This work presents a phenomenological model of an ethanol dehydration fixed-bed reactor considering the catalyst deactivation and several chemical species. The developed mathematical model for catalyst deactivation considers species present in the reaction system as coke precursors. The predictive ability of the model, which has been validated with industrial plant data, are shown in the results, presenting deviations of <5% in the reactor temperature profile.
中文翻译：
生物乙醇脱水反应器中催化剂失活的建模
催化乙醇脱水路线是由可再生资源生产聚乙烯的现实。乙醇脱水过程是在酸性催化剂存在下，在500 K至800 K的温度范围内进行的，乙烯的选择性在95％至99％的范围内，乙醇转化率> 98％。尽管转化率和选择性具有有利的值，但是通过焦化使催化剂失活是在该方法中发生的众所周知的现象。鉴于催化剂的生命周期取决于工艺操作条件，这种现象会导致催化剂再生周期。因此，获得用于优化乙醇脱水过程的数学模型对工业具有极大的兴趣，从而可以进行过程优化和反应器的优化设计。这项工作提出了一种乙醇脱水固定床反应器的现象模型，其中考虑了催化剂的失活和几种化学物质。已开发的催化剂失活数学模型将反应系统中存在的物质视为焦炭前体。结果中显示了该模型的预测能力，该能力已经通过工业工厂数据进行了验证，在反应堆温度曲线中的偏差小于5％。
更新日期：2019-02-14
中文翻译：
生物乙醇脱水反应器中催化剂失活的建模
催化乙醇脱水路线是由可再生资源生产聚乙烯的现实。乙醇脱水过程是在酸性催化剂存在下，在500 K至800 K的温度范围内进行的，乙烯的选择性在95％至99％的范围内，乙醇转化率> 98％。尽管转化率和选择性具有有利的值，但是通过焦化使催化剂失活是在该方法中发生的众所周知的现象。鉴于催化剂的生命周期取决于工艺操作条件，这种现象会导致催化剂再生周期。因此，获得用于优化乙醇脱水过程的数学模型对工业具有极大的兴趣，从而可以进行过程优化和反应器的优化设计。这项工作提出了一种乙醇脱水固定床反应器的现象模型，其中考虑了催化剂的失活和几种化学物质。已开发的催化剂失活数学模型将反应系统中存在的物质视为焦炭前体。结果中显示了该模型的预测能力，该能力已经通过工业工厂数据进行了验证，在反应堆温度曲线中的偏差小于5％。
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