作者: Soterios A. Papoulias , Ignacio E. Grossmann
DOI: 10.1016/0098-1354(83)85023-6
关键词: Engineering 、 Selection (genetic algorithm) 、 Heat recovery ventilation 、 Linear programming 、 Operations research 、 Transshipment (information security) 、 Heat exchanger 、 Work in process 、 Heat exchanger network synthesis 、 Mathematical optimization 、 General Chemical Engineering 、 Computer Science Applications
摘要: Abstract Several formulations of the transshipment model from Operations Research are proposed for optimal synthesis heat exchanger networks. The linear programming versions used predicting minimum utility cost, and can handle restricted matches multiple utilities. mixed-integer version yields cost networks in which number units is minimized, while allowing stream splitting selection most preferred matches. It shown that models also be incorporated easily within a approach synthesizing chemical processing systems. numerical examples presented show computationally very efficient.