基于分级超结构的换热网络改造优化

OPTIMIZATION OF HEAT EXCHANGER NETWORK RETROFIT USING STAGE-WISE SUPERSTRUCTURE

中文关键词: 分级超结构  换热网络改造  双层优化策略  遗传算法  粒子群算法

英文关键词: Stage-wise superstructure  Heat exchanger network retrofit  Two-level method  genetic algorithm  particle swarm optimization algorithm

中文摘要:

      建立了基于分级超结构模型的换热网络改造同步优化数学模型。该模型不依赖于夹点约束,不需要预先给定最小传热温差,能够有效权衡改造投资费用与运行费用之间的关系。改造投资费用中考虑了现有换热器的重新配置费用、现有换热器新增换热面积费用和新增换热器费用,符合工程实际要求。针对换热网络改造优化数学模型具有不连续和非线性的特点,数学模型的求解采用双层优化策略,其中表示网络结构调整的离散变量优化利用遗传算法,而表示操作参数的连续变量优化利用粒子群算法优化。2个不同规模的换热网络改造算例用于验证所提出方法的有效性。

英文摘要:

      The Simultaneous optimization approach based on stage-wise superstructure is proposed for heat exchanger network retrofit. The presented method does not rely on pinch analysis, and does not require predetermining minimum heat transfer temperature difference. Through solving this model, investment costs in retrofit and operating costs can be optimized simultaneously. The investment costs in retrofit include reassignment cost of existing exchangers, cost of area for existing exchangers and cost of area for new exchangers. This model is a MINLP problem with more optimization variables and constraints, which can be solved efficiently through the proposed two-level method. The network modifications are carried out by the genetic algorithm, and the operating parameters are optimized by the particle swarm optimization algorithm. Two case studies are presented to show the applicability of the proposed methodology.