摘要
水电联产不仅能缓解淡水资源不足的问题,而且可有效降低能耗和淡化成本。建立了水电联产系统数学模型,将优化设计描述为一个混合整数非线性规划(MINLP)问题,并采用混合编码的遗传算法进行求解,结果表明,以水定电模式下水电联产系统最优操作模式为发电、多级闪蒸(MSF)和反渗透(RO)三者的集成,且MSF和RO的产水比存在最优值,发电采用背压式蒸汽轮机。随着淡水需求量的增加,联产系统的淡水成本逐渐降低,MSF与RO的产水比呈现出逐渐降低的趋势。
Cogeneration of power and fresh water could not only resolve fresh water shortage,but also reduce energy consumption of desalination.A detailed mathematical model of the cogeneration of fresh water and power was established and described as an MINLP problem,which was solved by hybrid-coded genetic algorithm.The result showed that when fresh water demand was the prime target,the optimal pattern of the cogeneration system was integration of power plant,multi-stage flash and reverse osmosis,in which back pressure steam turbine was used in power plant.There was an optimal value of the production ratio for MSF and RO in the integrated system.The water cost of the integrated system and the production ratio for MSF and RO decreased slowly with increase of fresh water demand.
出处
《化工学报》
EI
CAS
CSCD
北大核心
2013年第8期2924-2929,共6页
CIESC Journal
基金
国家自然科学基金项目(21076202)~~
关键词
水电联产
海水淡化
遗传算法
优化设计
cogeneration of power and fresh water
desalination
genetic algorithm
optimization design
