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Operational modeling of multistream heat exchangers with phase changes
Author(s) -
Hasan M. M. Faruque,
Karimi I. A.,
Alfadala H. E.,
Grootjans H.
Publication year - 2009
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.11682
Subject(s) - heat exchanger , process engineering , work (physics) , process (computing) , integer programming , integer (computer science) , computer science , nonlinear programming , nonlinear system , simple (philosophy) , mathematical optimization , variety (cybernetics) , engineering , mechanical engineering , algorithm , mathematics , artificial intelligence , philosophy , physics , epistemology , quantum mechanics , programming language , operating system
Multistream heat exchangers (MSHE) enable the simultaneous exchange of heat among multiple streams, and are preferred in cryogenic processes such as air separation and LNG. Most MSHEs are complex; proprietary and involve phase changes of mixtures. Although modeling MSHE is crucial for process optimization, no such work exists to our knowledge. We present a novel approach for deriving an approximate operational (vs. design) model from historic data for an MSHE. Using a superstructure of simple 2‐stream exchangers, we propose a mixed‐integer nonlinear programming (MINLP) formulation to obtain a HE network that best represents the MSHE operation. We also develop an iterative algorithm to solve the large and nonconvex MINLP model in reasonable time, as existing commercial solvers fail to do so. Finally, we demonstrate the application of our work on an MSHE from an existing LNG plant, and successfully predict its performance over a variety of seasons and feed conditions. © 2008 American Institute of Chemical Engineers AIChE J, 2009