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Global optimization of multicomponent distillation configurations: 2. Enumeration based global minimization algorithm

Journal Article · · AIChE Journal
DOI:https://doi.org/10.1002/aic.15204· OSTI ID:1238668
 [1];  [2];  [2];  [2];  [2];  [2]
  1. Purdue Univ., West Lafayette, IN (United States); Purdue University
  2. Purdue Univ., West Lafayette, IN (United States)
We present a general Global Minimization Algorithm (GMA) to identify basic or thermally coupled distillation configurations that require the least vapor duty under minimum reflux conditions for separating any ideal or near-ideal multicomponent mixture into a desired number of product streams. In this algorithm, global optimality is guaranteed by modeling the system using Underwood equations and reformulating the resulting constraints to bilinear inequalities. The speed of convergence to the globally optimal solution is increased by using appropriate feasibility and optimality based variable-range reduction techniques and by developing valid inequalities. As a result, the GMA can be coupled with already developed techniques that enumerate basic and thermally coupled distillation configurations, to provide for the first time, a global optimization based rank-list of distillation configurations.
Research Organization:
Purdue Univ., West Lafayette, IN (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Advanced Manufacturing Office (EE-5A)
Grant/Contract Number:
EE0005768
OSTI ID:
1238668
Journal Information:
AIChE Journal, Journal Name: AIChE Journal Journal Issue: 2 Vol. 55; ISSN 0001-1541
Publisher:
American Institute of Chemical EngineersCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (4)

Minimum energy of multicomponent distillation systems using minimum additional heat and mass integration sections journal May 2018
Global minimization of total exergy loss of multicomponent distillation configurations journal August 2019
Monotonic reformulation and bound tightening for global optimization of ideal multi-component distillation columns journal March 2018
Global optimization of distillation columns using surrogate models journal October 2018

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