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用于分离乙醇/水混合物的自热式 recuperative 共沸精馏的多目标优化与控制

Multi-objective Optimization and Control of Self-Heat Recuperative Azeoropic Distillation for Separating an Ethanol/Water Mixture.

作者信息

Li Lumin, Yu Na, Zhu Yi

机构信息

School of Resources and Chemical Engineering, Sanming University, Sanming 365004, China.

Dongying Emergency Management Agency, Dongying 257000, China.

出版信息

ACS Omega. 2022 Mar 22;7(13):11382-11394. doi: 10.1021/acsomega.2c00478. eCollection 2022 Apr 5.

Abstract

Azeotropic distillation is an important method for the separation of an ethanol/water mixture, while the main disadvantage of azeotropic distillation is its high energy consumption. Since the self-heat recuperation technology can effectively recover and utilize the heat of effluent stream in thermal processes, it is introduced into the ethanol dehydration process. The conventional azeotropic distillation and self-heat recuperative azeotropic distillation (SHRAD) are simulated and optimized with multiple objectives. There exists a design point in the Pareto solution set for which the total annual cost is the lowest, the thermodynamic efficiency is the highest, and the CO emission is the least. Based on the specified design, the dynamic characteristics of the SHRAD configuration are studied, and two control structures are proposed. The improved control structure of the SHRAD process works well under the feed flowrate and composition disturbance, and the SHRAD system can obtain a high-purity ethanol product. The results show that the SHRAD process has significant advantages over conventional azeotropic distillation in terms of economic and environmental benefits. In addition, an effective control structure can ensure the stable operation of the SHRAD process.

摘要

共沸精馏是分离乙醇/水混合物的一种重要方法,而共沸精馏的主要缺点是能耗高。由于自热回收技术能够有效回收和利用热过程中流出物流的热量,因此将其引入乙醇脱水过程。对常规共沸精馏和自热回收共沸精馏(SHRAD)进行了多目标模拟和优化。在帕累托解集里存在一个设计点,在该点处年度总成本最低、热力学效率最高且CO排放量最少。基于指定设计,研究了SHRAD配置的动态特性,并提出了两种控制结构。改进后的SHRAD过程控制结构在进料流量和组成扰动下运行良好,且SHRAD系统能够获得高纯度乙醇产品。结果表明,SHRAD过程在经济和环境效益方面比常规共沸精馏具有显著优势。此外,一种有效的控制结构能够确保SHRAD过程稳定运行。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8361/8992292/f09c49d67668/ao2c00478_0002.jpg

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