关键词: 换热网络, 运行优化, 非线性数学模型, 粒子群算法

Abstract: A general model is proposed for optimal operation of heat exchanger network(HEN), aiming to achieve two goals: 1) all controlled temperatures are kept at their targets; 2) operating cost is minimized. The model is formulated as non-linear program(NLP), which consists of exchanger model, splitter model, mixer model, by-pass model and relation model between unit models. The HEN structure is represented with stage-wise superstructure presented by Yee and Grossmann(1990), which is developed for considering non-constant film coefficient. A solution strategy based on particle swarm optimization algorithm is developed for NLP problem, which promises simple, fast and robust searching procedure. The proposed method is applied to four benchmark problems reported by published literatures, and the optimal results prove that the method is more effective to optimal operation problem of HEN.

Key words: heat exchanger network, optimal operation, nonlinear programming, particle swarm optimization