Global Optimization for the Synthesis of Integrated Water Systems with Particle Swarm Optimization Algorithm
The problem of optimal synthesis of an integrated water system is addressed in this work, where water using processes and water treatment operations are combined into a single network such that the total coast of fresh water and wastewater treatment is globally minimized. We optimize a superstructure that incorporates all feasible design alternatives for wastewater treatment, reuse and recycle, with a Non-Linear Programming (NLP) model. An evolutionary approach--an improved Particle Swarm Optimization (PSO) is proposed for optimizing such systems. Two examples are presented to illustrate the global optimization of integrated water networks using the proposed algorithm.
integrated water network water minimization PSO
LUO Yi Qing YUAN Xi Gang
State Key Laboratory of Chemical Engineering,Chemical Engineering Research Center,Tianjin University,Tianjin 300072,P.R.China
国际会议
西安
英文
2007-08-15(万方平台首次上网日期,不代表论文的发表时间)