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

Kong, Lingxun ; Maravelias, Christos T.

AIChE journal, 2019-11, Vol.65 (11), p.n/a [Periódico revisado por pares]

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Título:
From graphical to model‐based distillation column design: A McCabe‐Thiele‐inspired mathematical programming approach
Autor: Kong, Lingxun ; Maravelias, Christos T.
Assuntos: Continuity (mathematics) ; Design optimization ; Distillation ; ENGINEERING ; Geographical variations ; Liquid-vapor equilibrium ; Mathematical programming ; Nonlinear programming ; Overflow ; Trays
É parte de: AIChE journal, 2019-11, Vol.65 (11), p.n/a
Notas: SC0018409
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Descrição: 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.
Editor: Hoboken, USA: John Wiley & Sons, Inc
Idioma: Inglês

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