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Title: Short-cut Methods versus Rigorous Methods for Performance-evaluation of Distillation Configurations

Abstract

Here, this study demonstrates the efficacy of a short-cut method such as the Global Minimization Algorithm (GMA), that uses assumptions of ideal mixtures, constant molar overflow (CMO) and pinched columns, in pruning the search-space of distillation column configurations for zeotropic multicomponent separation, to provide a small subset of attractive configurations with low minimum heat duties. The short-cut method, due to its simplifying assumptions, is computationally efficient, yet reliable in identifying the small subset of useful configurations for further detailed process evaluation. This two-tier approach allows expedient search of the configuration space containing hundreds to thousands of candidate configurations for a given application.

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)
OSTI Identifier:
1437937
Alternate Identifier(s):
OSTI ID: 1511533
Grant/Contract Number:  
EE0005768
Resource Type:
Accepted Manuscript
Journal Name:
Industrial and Engineering Chemistry Research
Additional Journal Information:
Journal Volume: 57; Journal Issue: 22; Journal ID: ISSN 0888-5885
Publisher:
American Chemical Society (ACS)
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; multicomponent distillation; global optimization; short-cut methods

Citation Formats

Ramapriya, Gautham Madenoor, Selvarajah, Ajiththaa, Jimenez Cucaita, Luis Eduardo, Huff, Joshua, Tawarmalani, Mohit, and Agrawal, Rakesh. Short-cut Methods versus Rigorous Methods for Performance-evaluation of Distillation Configurations. United States: N. p., 2018. Web. doi:10.1021/acs.iecr.7b05214.
Ramapriya, Gautham Madenoor, Selvarajah, Ajiththaa, Jimenez Cucaita, Luis Eduardo, Huff, Joshua, Tawarmalani, Mohit, & Agrawal, Rakesh. Short-cut Methods versus Rigorous Methods for Performance-evaluation of Distillation Configurations. United States. doi:10.1021/acs.iecr.7b05214.
Ramapriya, Gautham Madenoor, Selvarajah, Ajiththaa, Jimenez Cucaita, Luis Eduardo, Huff, Joshua, Tawarmalani, Mohit, and Agrawal, Rakesh. Thu . "Short-cut Methods versus Rigorous Methods for Performance-evaluation of Distillation Configurations". United States. doi:10.1021/acs.iecr.7b05214. https://www.osti.gov/servlets/purl/1437937.
@article{osti_1437937,
title = {Short-cut Methods versus Rigorous Methods for Performance-evaluation of Distillation Configurations},
author = {Ramapriya, Gautham Madenoor and Selvarajah, Ajiththaa and Jimenez Cucaita, Luis Eduardo and Huff, Joshua and Tawarmalani, Mohit and Agrawal, Rakesh},
abstractNote = {Here, this study demonstrates the efficacy of a short-cut method such as the Global Minimization Algorithm (GMA), that uses assumptions of ideal mixtures, constant molar overflow (CMO) and pinched columns, in pruning the search-space of distillation column configurations for zeotropic multicomponent separation, to provide a small subset of attractive configurations with low minimum heat duties. The short-cut method, due to its simplifying assumptions, is computationally efficient, yet reliable in identifying the small subset of useful configurations for further detailed process evaluation. This two-tier approach allows expedient search of the configuration space containing hundreds to thousands of candidate configurations for a given application.},
doi = {10.1021/acs.iecr.7b05214},
journal = {Industrial and Engineering Chemistry Research},
number = 22,
volume = 57,
place = {United States},
year = {2018},
month = {5}
}

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Cited by: 3 works
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