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机构地区:[1]中国海洋大学化学化工学院,山东青岛266100
出 处:《计算机与应用化学》2010年第10期1407-1409,共3页Computers and Applied Chemistry
基 金:国家自然科学基金资助项目(20976173).
摘 要:海水淡化系统的集成与优化是提高能源利用效率,降低淡化成本的有效途径。本文提出了多级闪蒸(MSF)与反渗透(RO)的2种集成工艺,以年度总费用最小为目标函数,采用改进的遗传算法进行求解,探讨了不同进料浓度、不同淡水水质要求对2种工艺结构的影响,给出了不同条件下的最优流程结构:当海水浓度大于40000mg·L^(-1)时,宜采用RO-MSF结构。低于40000mg·L^(-1)时,采用MSF-RO结构:当出水水质要求高时采用RO-MSF集成结构优于MSF-RO集成结构;而当出口淡水水质要求低时,宜采用RO-MSF集成系统。Integration and optimization of desalination system is the valid way to enhance the efficiency of energy sources and reduce the cost of desalination water.Two integration configuration of MSF and RO are introduced and solved using modified genetic algorithm(MGA)with the minimum the total annual cost as the objective.The effect result of the two integration configuration is analyzed with different feed concentration and different quality of desalination water.The optimization configuration is presented under different condition.The RO-MSF integration configuration is adopted when the concentration of feed seawater is higher than 40000 mg·L^(-1).Otherwise,the MSF-RO integration configuration is adopted.The RO-MSF is superior to MSF-RO integration configuration when the concentration of outlet freshwater is required to be lower.And the RO-MSF integration configuration is firstly adopted while the required concentration of outlet freshwater is higher.
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