硕士生导师
教师拼音名称:zhangfangkun
电子邮箱:
入职时间:2019-09-02
学历:博士研究生
性别:男
联系方式:18554911864
学位:工学博士
毕业院校:大连理工大学
学科:化学工程
控制理论与控制工程最后更新时间:..
关键字:MIXTURE; FEASIBILITY; TECHNOLOGY; SEQUENCES; SELECTION
摘要:Cleaner production and sustainable development are still hot topics for modern industry. Developing green technology with low energy consumption, low pollution, and low cost has always been the common pursuit of chemical, petroleum, pharmaceutical, and other industries. This article proposes an environmentally friendly and efficient solvent, glycerol, for the separation of the ternary azeotrope of toluene-methanol-water. Three feasible extractive distillation schemes were designed and optimized, while the double-column extractive distillation process with a decanter demonstrated superior performance when glycerol was used as the solvent. Additionally, the multi-objective genetic algorithm was employed to optimize these separation processes and determine the optimal operating conditions, taking total annual cost (TAC), CO2 emissions (ECO2), and separation efficiency (Eext) as target performance indicators to achieve the objectives of energy conservation, consumption reduction, and emission reduction. Results demonstrated that the newly proposed scheme can significantly reduce the total annual cost by up to 33.1 % and CO2 emissions by 50.5 % compared with the existing separation process. This work provides a new insight to separate and purify the multiple systems by extractive distillation in industry.
卷号:336
期号:
是否译文:否