@inbook{7fcc141678c34b54a122d03e3707433e,
title = "Novel MILP-based optimization method for retrofitting heat exchanger networks",
abstract = "This paper presents a novel optimization method for retrofitting heat exchanger networks (HENs). The optimization framework is developed based on the iterative optimization of a relatively simple mixed integer linear programming (MILP), which can effectively deal with the computational difficulties associated with nonlinearity, and facilitate the automated design of HEN retrofit with rigorous consideration of economic trade-off. A case study based on literature example has been carried out to demonstrate the validity and soundness of the proposed approach. {\textcopyright} 2012 Elsevier B.V.",
keywords = "Heat exchanger network (HEN), Iteration, Mixed integer linear programming (MILP), Optimization, Retrofit",
author = "Ming Pan and Igor Bulatov and Robin Smith",
year = "2012",
doi = "10.1016/B978-0-444-59519-5.50114-3",
language = "English",
volume = "30",
series = "Computer Aided Chemical Engineering",
publisher = "Elsevier BV",
pages = "567--571",
booktitle = "Computer Aided Chemical Engineering|Comput. Aided Chem. Eng.",
address = "Netherlands",
}