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Title: From graphical to model-based distillation column design: A McCabe-Thiele-inspired mathematical programming approach

Abstract

We propose a mixed-integer nonlinear programming (MINLP) model for simple and complex distillation column design and optimization. The model is based upon the concepts and equations underpinning the McCabe-Thiele method. Generalizing this method, we introduce material balances at various locations of the column and employ binary variables to determine the optimal number of trays and optimal feed locations. We model the vaporā€“liquid equilibrium using continuous piecewise linear approximating functions. The model is extended to account for multicomponent mixtures and non-constant-molar overflow. We also discuss how to estimate the minimum number of trays and the minimum reflux ratio.

Authors:
ORCiD logo [1]; ORCiD logo [1]
  1. Univ. of Wisconsin, Madison, WI (United States)
Publication Date:
Research Org.:
Great Lakes Bioenergy Research Center (GLBRC), Madison, WI (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1637472
Grant/Contract Number:  
SC0018409
Resource Type:
Accepted Manuscript
Journal Name:
AIChE Journal
Additional Journal Information:
Journal Volume: 65; Journal Issue: 11; Journal ID: ISSN 0001-1541
Publisher:
American Institute of Chemical Engineers
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING

Citation Formats

Kong, Lingxun, and Maravelias, Christos T. From graphical to model-based distillation column design: A McCabe-Thiele-inspired mathematical programming approach. United States: N. p., 2019. Web. doi:10.1002/aic.16731.
Kong, Lingxun, & Maravelias, Christos T. From graphical to model-based distillation column design: A McCabe-Thiele-inspired mathematical programming approach. United States. https://doi.org/10.1002/aic.16731
Kong, Lingxun, and Maravelias, Christos T. Fri . "From graphical to model-based distillation column design: A McCabe-Thiele-inspired mathematical programming approach". United States. https://doi.org/10.1002/aic.16731. https://www.osti.gov/servlets/purl/1637472.
@article{osti_1637472,
title = {From graphical to model-based distillation column design: A McCabe-Thiele-inspired mathematical programming approach},
author = {Kong, Lingxun and Maravelias, Christos T.},
abstractNote = {We propose a mixed-integer nonlinear programming (MINLP) model for simple and complex distillation column design and optimization. The model is based upon the concepts and equations underpinning the McCabe-Thiele method. Generalizing this method, we introduce material balances at various locations of the column and employ binary variables to determine the optimal number of trays and optimal feed locations. We model the vaporā€“liquid equilibrium using continuous piecewise linear approximating functions. The model is extended to account for multicomponent mixtures and non-constant-molar overflow. We also discuss how to estimate the minimum number of trays and the minimum reflux ratio.},
doi = {10.1002/aic.16731},
journal = {AIChE Journal},
number = 11,
volume = 65,
place = {United States},
year = {Fri Jul 26 00:00:00 EDT 2019},
month = {Fri Jul 26 00:00:00 EDT 2019}
}

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Free Publicly Available Full Text
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Cited by: 10 works
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Figures / Tables:

Figure 1 Figure 1: (A) A simple distillation column for separating a binary mixture; (B) a typical McCabe-Thiele diagram.

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Works referencing / citing this record:

Optimization of a saturated gas plant: Meticulous simulation-based optimization ā€“ A case study
journal, March 2020