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Design of Dividing‐Wall Columns by Mixed‐Integer Nonlinear Programming Optimization
Author(s) -
Franke Meik B.
Publication year - 2017
Publication title -
chemie ingenieur technik
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 36
eISSN - 1522-2640
pISSN - 0009-286X
DOI - 10.1002/cite.201700005
Subject(s) - integer programming , integer (computer science) , nonlinear programming , mathematical optimization , engineering , decomposition , nonlinear system , process (computing) , process engineering , capital cost , dissipation , computer science , mathematics , electrical engineering , chemistry , physics , organic chemistry , quantum mechanics , thermodynamics , programming language , operating system
Dividing‐wall columns (DWCs) offer an interesting alternative to conventional distillation towers. Savings of up to 30 % in both energy and capital cost are reported. While these high savings are realistic in some applications, DWCs offer less or no advantage at all in other applications. In any case, it is important to make a fair comparison between the conventional system and the DWC based on an optimized process design. Mixed‐integer nonlinear programming (MINLP), especially the presented modified Generalized Benders Decomposition approach, could be the tool to make this comparison, as shown here.