摘要
提出了萃取-溶剂回收系统的超结构模型,建立了一种改进的萃取系统优化设计方法。以总费用最小化为目标函数,对非线性萃取分离体系进行优化设计。该方法同时考虑了萃取和溶剂回收循环中的重要工艺参数对总费用的影响,可在设计的同时完成对溶剂量、萃取级数、溶剂和溶质收率及回收塔的塔板数和回流比等的优化。该方法已应用于对煤气化废水MIBK萃取脱酚系统的优化设计。
A superstructure which describes all potential configurations and connectivity of typical liquid-liquid extraction and solvent recovery system was proposed. Based on this superstructure proposed, the optimal design of the system was formulated as an optimization problem using nonlinear programming （NLP） to minimize the total cost of the system. Accordingly, an improved method for the synthesis and global optimal design of the extraction and solvent recovery system was proposed, and in this method, all important variables, which are needed to obtain the specified separation product and will influence the total cost of the system, were considered. Therefore, using this method, all the important variables of both the extractor and the distillation column for solvent recovery, such as the number of extracting stages, solvent flow rate, recovery ratio of solvent and solute in distillation column, the number of distillation column stages, the reflux rate, etc., can be optimized simultaneously during the design procedure. In order to examine its practicality, the proposed method was used for the optimal design of a liquid-liquid extraction system using MIBK（methyl-isobutyl-ketone） as extractant to recover phenols from coal-gasification wastewater, and the result shows that the method proposed is effective.
出处
《高校化学工程学报》
EI
CAS
CSCD
北大核心
2006年第6期989-995,共7页
Journal of Chemical Engineering of Chinese Universities
关键词
萃取
溶剂回收
优化
设计
非线性规划
liquid-liquid extraction
solvent recovery
optimization
design
NLP（nonlinear programming）
