In this work, continuous extractive distillation processes were optimized using simulated annealing (SA). The processes were modeled in Aspen Plus and the simulated-annealing optimization algorithm was implemented in MATLAB. For the separation of acetone and methanol, the TAC of the process for each entrainer considered was lower than the initial condition taken from the literature. For the separation of n-hexane and ethyl acetate,we considered NMP, 2-methylpyridine, 3-methylpyridine, DMF, and pyrrole as possible entrainers. The results show that DMF offers the best performance and economic benefit. For the separation of n-hexane and tetrahydrofuran, the candidate entrainers were DMF, NMP, and 2-methylpyridine. DMF was again found to be the most suitable entrainer. The results show that the SA algorithm has the advantage of running automatically and has a high probability to obtain a design near the global optimum.

中文翻译：

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使用模拟退火和过程模拟自动化服务器的萃取精馏优化

在这项工作中，使用模拟退火（SA）对连续萃取蒸馏过程进行了优化。在Aspen Plus中对过程进行建模，并在MATLAB中实现模拟退火优化算法。对于丙酮和甲醇的分离，对于所考虑的每种夹带剂，该方法的TAC均低于从文献中得出的初始条件。用于分离Ñ乙酸-己烷和乙酸乙酯，我们考虑NMP，2-甲基吡啶，3-甲基吡啶，DMF，和吡咯尽可能夹带剂。结果表明，DMF具有最佳的性能和经济效益。对于n的分离-己烷和四氢呋喃，候选夹带剂是DMF，NMP和2-甲基吡啶。再次发现DMF是最合适的夹带剂。结果表明，SA算法具有自动运行的优点，并且有可能获得接近全局最优的设计。