Adaptive Process Optimization for Continuous Methylation of Alcohols in Supercritical Carbon Dioxide
Adaptive Process Optimization for Continuous Methylation of Alcohols in Supercritical Carbon Dioxide
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DOI：
10.1021/op200109t
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发表时间：
2011-07-01
影响因子：
3.4
通讯作者：
Poliakoff, Martyn
中科院分区：
文献类型：
--
作者：
Bourne, Richard A.;Skilton, Ryan A.;Poliakoff, Martyn
采用超修正单纯形算法建立了一个自寻优的连续流动反应器。该系统与在线气相色谱分析相结合，可通过反馈控制回路实现自动优化，无需用户干预。在γ-Al_2O_3催化下，以碳酸二甲酯和甲醇为原料，在超临界CO_2中进行1-戊醇的甲基化反应，甲基戊醚的收率分别为98%和68%左右。这是通过改变四个反应参数来实现的：温度、压力、CO（2）流速和甲基化剂的比率。
A self-optimizing continuous flow reactor has been developed using the Super-Modified Simplex algorithm. This system, coupled with online gas chromatographic analysis enables automated optimization via a feedback control loop without user intervention. This has been applied to the methylation of 1-pentanol in supercritical carbon dioxide using dimethyl carbonate and methanol with gamma-alumina catalyst to give 98% and similar to 68% yield of pentyl methyl ether respectively. This was accomplished by variation of four reaction parameters; Temperature, Pressure, CO(2) Flow rate, and the Ratio of methylating agent.