多级闪蒸海水淡化系统的优化设计

Optimization and Design of Multi-stage Flash Desalination System

在考虑盐水温度、质量浓度等物性参数的基础上,对多级闪蒸海水淡化系统进行了优化设计,建立了严格的数学模型。引入了热回收段级数、热排放段级数和盐水循环比3个变量,以年度费用最小为目标函数,运用混合遗传算法进行求解,并给出了1个算例分析。

A rigorous mathematical model of multi-stage flash system （MSF） is presented based on a detailed physicochemical representation of the process, including all the fundamental parameters such as temperature and concentration of brine water. In particular, three integer variables, which are the number of recovery stage, the number of rejection stage, and the ratio of recirculation brine water flow rate to distillation flow rate, are introduced to the model. The objective is to minimize the total annual cost, which is mainly composed of the operating costs and investment cost. Here the modified genetic algorithm （MGA） characterized as mixing coding way, is adopted for the system optimization. A case study and a discussion of the results are presented.