Combining catalysis and computational fluid dynamics towards improved process design for ethanol dehydration
Combining catalysis and computational fluid dynamics towards improved process design for ethanol dehydration
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DOI：
10.1039/c8cy01564c
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发表时间：
2018-11
影响因子：
5
通讯作者：
M. Potter;L. Armstrong;R. Raja
中科院分区：
文献类型：
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作者：
M. Potter;L. Armstrong;R. Raja
通过结合计算流体动力学、表征和催化研究，我们首次建立了催化球化固定床反应器内乙醇脱水过程的工作模型。该模型利用工业MTO催化剂SAPO-34对乙醇脱水制乙烯的实验动力学数据构建而成，提供了对反应速率、产物选择性和局部温度波动的独特见解，这对优化催化过程的反应器设计至关重要，并且与工业化学过程的优化高度相关。
Through a combined computational fluid dynamics, characterization and catalysis study we have developed, for the first time, a working model of the ethanol dehydration process within a catalytic pelletized fixed bed reactor. The model, constructed from experimental kinetic data on the dehydration of ethanol to ethylene, with the industrial MTO catalyst SAPO-34, provides unique insights on reaction rate, product selectivity and local temperature fluctuations that are pivotal to reactor design towards optimized catalytic processes, and highly relevant for the optimization of industrial chemical processes.