不确定条件下的质量交换网络综合  

Synthesis of mass exchange networks under uncertainty

作　　者：张飞燕[1] 李有润[1] 沈静珠[1] 胡山鹰[1] 

机构地区：[1]清华大学化学工程系,北京100084

出　　处：《计算机与应用化学》2003年第3期236-240,共5页Computers and Applied Chemistry

基　　金：国家自然科学基金重点资助项目(29836140);清华大学环境科学重点资助项目

摘　　要：基于现有的质量交换网络综合方法,同时考虑不确定因素对于综合过程的影响,提出了不确定条件下质量交换网络综合的两步综合法。该方法首先确定网络结构,然后以年度总费用为综合目标,对设备尺寸和操作参数进行随机优化,并讨论了两种不同的随机模型的优化:期望值模型与机会约束模型。采用遗传算法和蒙特卡洛随机模拟相结合对上述随机优化模型进行求解。实例计算表明了这一综合方法的合理性以及算法的可行性。Based on the existing methods to synthesize mass exchanger networks, a two-stage method for the synthesis of mass exchanger networks under uncertainty is developed. First the network structure was designed, then the total annual cost (TAC) is minimized by optimizing operations and the size of equipments. Two different stochastic models are discussed: expected value model (EVM) and chance-constrained programming (CCP) . The Genetic Algorithms combined with Monte Carlo Algorithms (MC) is introduced for solving the problems. The paper demonstrates that this synthesis method is reasonable and doable.

关 键 词：遗传算法 蒙特卡洛 随机模拟 净化分离过程 质量交换网络 综合 优化设计 

分 类 号：TQ021.8[化学工程] TQ028