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

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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 vapor–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.

Original languageEnglish (US)
Article numbere16731
JournalAIChE Journal
Volume65
Issue number11
DOIs
StatePublished - Nov 1 2019
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Environmental Engineering
  • Chemical Engineering(all)

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