摘要
提出了一种以年综合费用最小为优化目标的有分流换热网络同步综合方法.该方法以分级超结构模型为基础建立一个不考虑等温混合假设的复杂混合整数非线性同步综合数学模型.为了合理降低控制学模型的求解难度,分级超结构中同时引入有分流并联结构和无分流串级结构.该模型的求解采用双层优化策略,外层利用遗传算法生成换热网络结构;内层利用粒子群算法优化物流分流比和换热器热负荷.采用两个典型算例和一个大规模换热网络综合问题对该方法的有效性进行了验证.
A novel simultaneous synthesis approach is proposed for annuaI general cost-optimal heat exchanger network with stream splits. The presented method formulates a simultaneous synthesis mathematical model without the assumption of isothermal mixing, which is a complex mixed integer nonlinear mathematical programming model based on stage-wise superstructure model. In order to control the solution complexity of cybernetic model efficiently, the parallel structure with stream splits and series structures with no stream splits are considered simultaneously in the stage-wise superstructure. An efficient two-level optimization algorithm is used for solving the presented model. At the upper level, the network structures are optimized using genetic algorithm. At the lower level, heat load of units and stream-split heat flows are optimized through particle swarm optimization algorithm. Two benchmark problems and one large-scale synthesis problem of heat exchanger network are presented to show the applicability of the proposed methodology.
出处
《大连理工大学学报》
EI
CAS
CSCD
北大核心
2013年第1期45-50,共6页
Journal of Dalian University of Technology
基金
中央高校基本科研业务费专项资金资助项目(DUT12JN15)
关键词
有分流
换热网络
同步综合
分级超结构
混合整数非线性规划
stream splits
heat exchanger network
simultaneous synthesis
stage-wisesuperstructure
mixed integer nonlinear programming
