Optimal design of reverse osmosis-based water treatment systems

被引:17
|
作者
Karuppiah, Ramkumar [1 ]
Bury, Scott J. [1 ]
Vazquez, Adriana [1 ]
Poppe, Gregg [1 ]
机构
[1] Dow Chem Co USA, Engn & Proc Sci R&D, Midland, MI 48667 USA
关键词
reverse osmosis; superstructure optimization; MINLP; desalination; SEAWATER DESALINATION; OPTIMIZATION; NETWORKS; UNCERTAINTY; MEMBRANES; PLANTS;
D O I
10.1002/aic.13880
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
We address the problem of optimal design of reverse osmosis (RO)-based water treatment systems. A superstructure optimization method is proposed to solve the problem, where the superstructure for a RO system is structurally enhanced with additional features. We formulate the problem as mixed-integer nonlinear program which is solved to yield optimal results. A case study on desalination is considered in this work, and the numerical results obtained using our approach are validated using a commercial simulation tool. We further extend the problem by considering the effects of degradation of membrane performance over time and solve it by representing the problem as a two-stage stochastic program. This new approach is highly useful for identifying minimum cost robust designs for membrane-based water purification systems, which are especially important in desalination applications. (c) 2012 American Institute of Chemical Engineers AIChE J, 2012
引用
收藏
页码:2758 / 2769
页数:12
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