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

Abstract

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.

Authors:
 [1];  [1];  [1];  [1];  [1];  [1]
  1. Purdue Univ., West Lafayette, IN (United States)
Publication Date:
Research Org.:
Purdue Univ., West Lafayette, IN (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Advanced Manufacturing Office (EE-5A)
OSTI Identifier:
1238668
Grant/Contract Number:  
EE0005768
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
AIChE Journal
Additional Journal Information:
Journal Volume: 55; Journal Issue: 2; Journal ID: ISSN 0001-1541
Publisher:
American Institute of Chemical Engineers
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; separation; multicomponent distillation; distillation configurations; global optimization; energy savings

Citation Formats

Nallasivam, Ulaganathan, Shah, Vishesh H., Shenvi, Anirudh A., Huff, Joshua, Tawarmalani, Mohit, and Agrawal, Rakesh. Global optimization of multicomponent distillation configurations: 2. Enumeration based global minimization algorithm. United States: N. p., 2016. Web. doi:10.1002/aic.15204.
Nallasivam, Ulaganathan, Shah, Vishesh H., Shenvi, Anirudh A., Huff, Joshua, Tawarmalani, Mohit, & Agrawal, Rakesh. Global optimization of multicomponent distillation configurations: 2. Enumeration based global minimization algorithm. United States. doi:10.1002/aic.15204.
Nallasivam, Ulaganathan, Shah, Vishesh H., Shenvi, Anirudh A., Huff, Joshua, Tawarmalani, Mohit, and Agrawal, Rakesh. Wed . "Global optimization of multicomponent distillation configurations: 2. Enumeration based global minimization algorithm". United States. doi:10.1002/aic.15204. https://www.osti.gov/servlets/purl/1238668.
@article{osti_1238668,
title = {Global optimization of multicomponent distillation configurations: 2. Enumeration based global minimization algorithm},
author = {Nallasivam, Ulaganathan and Shah, Vishesh H. and Shenvi, Anirudh A. and Huff, Joshua and Tawarmalani, Mohit and Agrawal, Rakesh},
abstractNote = {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.},
doi = {10.1002/aic.15204},
journal = {AIChE Journal},
issn = {0001-1541},
number = 2,
volume = 55,
place = {United States},
year = {2016},
month = {2}
}

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    Works referencing / citing this record:

    Monotonic reformulation and bound tightening for global optimization of ideal multi-component distillation columns
    journal, March 2018

    • Mertens, Nick; Kunde, Christian; Kienle, Achim
    • Optimization and Engineering, Vol. 19, Issue 2
    • DOI: 10.1007/s11081-018-9377-6

    Monotonic reformulation and bound tightening for global optimization of ideal multi-component distillation columns
    journal, March 2018

    • Mertens, Nick; Kunde, Christian; Kienle, Achim
    • Optimization and Engineering, Vol. 19, Issue 2
    • DOI: 10.1007/s11081-018-9377-6