Loading…

110th Anniversary: An Effective Methodology for Kinetic Parameter Estimation for Modeling Commercial Polyolefin Processes from Plant Data Using Efficient Simulation Software Tools

Polyolefins are one of the most widely used commodity polymers with applications in films, packaging, and the automotive industry. The modeling of polymerization processes producing polyolefins, including high-density polyethylene (HDPE), polypropylene (PP), and linear low-density polyethylene (LLDP...

Full description

Saved in:
Bibliographic Details
Published in:Industrial & engineering chemistry research 2019-08, Vol.58 (31), p.14209-14226
Main Authors: Sharma, Niket, Liu, Y. A
Format: Article
Language:English
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-a317t-4ce185c1dee025e41c36e8ef2977a91321f41f9098ef603c90b536b781201a183
cites cdi_FETCH-LOGICAL-a317t-4ce185c1dee025e41c36e8ef2977a91321f41f9098ef603c90b536b781201a183
container_end_page 14226
container_issue 31
container_start_page 14209
container_title Industrial & engineering chemistry research
container_volume 58
creator Sharma, Niket
Liu, Y. A
description Polyolefins are one of the most widely used commodity polymers with applications in films, packaging, and the automotive industry. The modeling of polymerization processes producing polyolefins, including high-density polyethylene (HDPE), polypropylene (PP), and linear low-density polyethylene (LLDPE) using Ziegler–Natta catalysts with multiple active sites, is a complex and challenging task. Most of the studies on polyolefin process modeling over the years do not consider all of the commercially important production targets when quantifying the relevant polymerization reaction kinetic parameters based on measurable plant data. Most of the published articles also do not make efficient use of simulation tools, particularly sensitivity analysis, design specifications, and data fit, that are available in commercial modeling software for polymerization processes, such as Aspen Polymers. This paper presents an effective methodology to estimate kinetic parameters that have the most significant impacts on specific production targets, and to develop the kinetics using all commercially important production targets validated over polyolefin processes producing HDPE, PP, and LLDPE using Ziegler–Natta catalysts. We demonstrate how to estimate kinetic parameters to fit production targets in a computer-aided step-by-step procedure. The percent errors between our model predictions and plant data are equivalent to or smaller than those in reported modeling studies for polyolefin processes. We report our insights and experiences from training practicing engineers to successfully apply our methodology to several dozen commercial HDPE, PP, and LLPDE processes for sustainable design, operation, and optimization at two of the world’s largest petrochemical companies in the Asia-Pacific region over the past two decades. Finally, we present supplements of detailed modeling examples and an Excel modeling spreadsheet for commercial polyolefin processes.
doi_str_mv 10.1021/acs.iecr.9b02277
format article
fullrecord <record><control><sourceid>acs_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1021_acs_iecr_9b02277</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>c592420996</sourcerecordid><originalsourceid>FETCH-LOGICAL-a317t-4ce185c1dee025e41c36e8ef2977a91321f41f9098ef603c90b536b781201a183</originalsourceid><addsrcrecordid>eNp1UMtOwzAQtBBIlMKdoz-AlN0kbhxuqJSHAFEJOEeuuwYjJ0a2AfW7-EFcypXTamdnZneHsWOECUKJp0rHiSUdJu0SyrJpdtgIRQmFgFrsshFIKQshpdhnBzG-AYAQdT1i34iQXvn5MNhPClGF9Vlu-NwY0ilD_J7Sq19551_W3PjAb-1AyWq-UEH1lCjweUy2V8n64Zdw71fk7PDCZ77vKWirHF94t_aOjB34InhNMVLkJvieL5waEr9QSfHnuFHlzVZbyuCj7T_c1vfRm_SlAvEn7108ZHtGuUhHf3XMni_nT7Pr4u7h6mZ2fleoCptU1JpQCo0rIigF1airKUkyZds0qsWqRFOjaaHN2BQq3cJSVNNlI7EEVCirMYOtrw4-xkCmew_507DuELpN6F0OvduE3v2FniUnW8lm8uY_wpAP_J_-A_ukiVM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>110th Anniversary: An Effective Methodology for Kinetic Parameter Estimation for Modeling Commercial Polyolefin Processes from Plant Data Using Efficient Simulation Software Tools</title><source>American Chemical Society:Jisc Collections:American Chemical Society Read &amp; Publish Agreement 2022-2024 (Reading list)</source><creator>Sharma, Niket ; Liu, Y. A</creator><creatorcontrib>Sharma, Niket ; Liu, Y. A</creatorcontrib><description>Polyolefins are one of the most widely used commodity polymers with applications in films, packaging, and the automotive industry. The modeling of polymerization processes producing polyolefins, including high-density polyethylene (HDPE), polypropylene (PP), and linear low-density polyethylene (LLDPE) using Ziegler–Natta catalysts with multiple active sites, is a complex and challenging task. Most of the studies on polyolefin process modeling over the years do not consider all of the commercially important production targets when quantifying the relevant polymerization reaction kinetic parameters based on measurable plant data. Most of the published articles also do not make efficient use of simulation tools, particularly sensitivity analysis, design specifications, and data fit, that are available in commercial modeling software for polymerization processes, such as Aspen Polymers. This paper presents an effective methodology to estimate kinetic parameters that have the most significant impacts on specific production targets, and to develop the kinetics using all commercially important production targets validated over polyolefin processes producing HDPE, PP, and LLDPE using Ziegler–Natta catalysts. We demonstrate how to estimate kinetic parameters to fit production targets in a computer-aided step-by-step procedure. The percent errors between our model predictions and plant data are equivalent to or smaller than those in reported modeling studies for polyolefin processes. We report our insights and experiences from training practicing engineers to successfully apply our methodology to several dozen commercial HDPE, PP, and LLPDE processes for sustainable design, operation, and optimization at two of the world’s largest petrochemical companies in the Asia-Pacific region over the past two decades. Finally, we present supplements of detailed modeling examples and an Excel modeling spreadsheet for commercial polyolefin processes.</description><identifier>ISSN: 0888-5885</identifier><identifier>EISSN: 1520-5045</identifier><identifier>DOI: 10.1021/acs.iecr.9b02277</identifier><language>eng</language><publisher>American Chemical Society</publisher><ispartof>Industrial &amp; engineering chemistry research, 2019-08, Vol.58 (31), p.14209-14226</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a317t-4ce185c1dee025e41c36e8ef2977a91321f41f9098ef603c90b536b781201a183</citedby><cites>FETCH-LOGICAL-a317t-4ce185c1dee025e41c36e8ef2977a91321f41f9098ef603c90b536b781201a183</cites><orcidid>0000-0002-8050-8343</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Sharma, Niket</creatorcontrib><creatorcontrib>Liu, Y. A</creatorcontrib><title>110th Anniversary: An Effective Methodology for Kinetic Parameter Estimation for Modeling Commercial Polyolefin Processes from Plant Data Using Efficient Simulation Software Tools</title><title>Industrial &amp; engineering chemistry research</title><addtitle>Ind. Eng. Chem. Res</addtitle><description>Polyolefins are one of the most widely used commodity polymers with applications in films, packaging, and the automotive industry. The modeling of polymerization processes producing polyolefins, including high-density polyethylene (HDPE), polypropylene (PP), and linear low-density polyethylene (LLDPE) using Ziegler–Natta catalysts with multiple active sites, is a complex and challenging task. Most of the studies on polyolefin process modeling over the years do not consider all of the commercially important production targets when quantifying the relevant polymerization reaction kinetic parameters based on measurable plant data. Most of the published articles also do not make efficient use of simulation tools, particularly sensitivity analysis, design specifications, and data fit, that are available in commercial modeling software for polymerization processes, such as Aspen Polymers. This paper presents an effective methodology to estimate kinetic parameters that have the most significant impacts on specific production targets, and to develop the kinetics using all commercially important production targets validated over polyolefin processes producing HDPE, PP, and LLDPE using Ziegler–Natta catalysts. We demonstrate how to estimate kinetic parameters to fit production targets in a computer-aided step-by-step procedure. The percent errors between our model predictions and plant data are equivalent to or smaller than those in reported modeling studies for polyolefin processes. We report our insights and experiences from training practicing engineers to successfully apply our methodology to several dozen commercial HDPE, PP, and LLPDE processes for sustainable design, operation, and optimization at two of the world’s largest petrochemical companies in the Asia-Pacific region over the past two decades. Finally, we present supplements of detailed modeling examples and an Excel modeling spreadsheet for commercial polyolefin processes.</description><issn>0888-5885</issn><issn>1520-5045</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1UMtOwzAQtBBIlMKdoz-AlN0kbhxuqJSHAFEJOEeuuwYjJ0a2AfW7-EFcypXTamdnZneHsWOECUKJp0rHiSUdJu0SyrJpdtgIRQmFgFrsshFIKQshpdhnBzG-AYAQdT1i34iQXvn5MNhPClGF9Vlu-NwY0ilD_J7Sq19551_W3PjAb-1AyWq-UEH1lCjweUy2V8n64Zdw71fk7PDCZ77vKWirHF94t_aOjB34InhNMVLkJvieL5waEr9QSfHnuFHlzVZbyuCj7T_c1vfRm_SlAvEn7108ZHtGuUhHf3XMni_nT7Pr4u7h6mZ2fleoCptU1JpQCo0rIigF1airKUkyZds0qsWqRFOjaaHN2BQq3cJSVNNlI7EEVCirMYOtrw4-xkCmew_507DuELpN6F0OvduE3v2FniUnW8lm8uY_wpAP_J_-A_ukiVM</recordid><startdate>20190807</startdate><enddate>20190807</enddate><creator>Sharma, Niket</creator><creator>Liu, Y. A</creator><general>American Chemical Society</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-8050-8343</orcidid></search><sort><creationdate>20190807</creationdate><title>110th Anniversary: An Effective Methodology for Kinetic Parameter Estimation for Modeling Commercial Polyolefin Processes from Plant Data Using Efficient Simulation Software Tools</title><author>Sharma, Niket ; Liu, Y. A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a317t-4ce185c1dee025e41c36e8ef2977a91321f41f9098ef603c90b536b781201a183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sharma, Niket</creatorcontrib><creatorcontrib>Liu, Y. A</creatorcontrib><collection>CrossRef</collection><jtitle>Industrial &amp; engineering chemistry research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sharma, Niket</au><au>Liu, Y. A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>110th Anniversary: An Effective Methodology for Kinetic Parameter Estimation for Modeling Commercial Polyolefin Processes from Plant Data Using Efficient Simulation Software Tools</atitle><jtitle>Industrial &amp; engineering chemistry research</jtitle><addtitle>Ind. Eng. Chem. Res</addtitle><date>2019-08-07</date><risdate>2019</risdate><volume>58</volume><issue>31</issue><spage>14209</spage><epage>14226</epage><pages>14209-14226</pages><issn>0888-5885</issn><eissn>1520-5045</eissn><abstract>Polyolefins are one of the most widely used commodity polymers with applications in films, packaging, and the automotive industry. The modeling of polymerization processes producing polyolefins, including high-density polyethylene (HDPE), polypropylene (PP), and linear low-density polyethylene (LLDPE) using Ziegler–Natta catalysts with multiple active sites, is a complex and challenging task. Most of the studies on polyolefin process modeling over the years do not consider all of the commercially important production targets when quantifying the relevant polymerization reaction kinetic parameters based on measurable plant data. Most of the published articles also do not make efficient use of simulation tools, particularly sensitivity analysis, design specifications, and data fit, that are available in commercial modeling software for polymerization processes, such as Aspen Polymers. This paper presents an effective methodology to estimate kinetic parameters that have the most significant impacts on specific production targets, and to develop the kinetics using all commercially important production targets validated over polyolefin processes producing HDPE, PP, and LLDPE using Ziegler–Natta catalysts. We demonstrate how to estimate kinetic parameters to fit production targets in a computer-aided step-by-step procedure. The percent errors between our model predictions and plant data are equivalent to or smaller than those in reported modeling studies for polyolefin processes. We report our insights and experiences from training practicing engineers to successfully apply our methodology to several dozen commercial HDPE, PP, and LLPDE processes for sustainable design, operation, and optimization at two of the world’s largest petrochemical companies in the Asia-Pacific region over the past two decades. Finally, we present supplements of detailed modeling examples and an Excel modeling spreadsheet for commercial polyolefin processes.</abstract><pub>American Chemical Society</pub><doi>10.1021/acs.iecr.9b02277</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-8050-8343</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0888-5885
ispartof Industrial & engineering chemistry research, 2019-08, Vol.58 (31), p.14209-14226
issn 0888-5885
1520-5045
language eng
recordid cdi_crossref_primary_10_1021_acs_iecr_9b02277
source American Chemical Society:Jisc Collections:American Chemical Society Read & Publish Agreement 2022-2024 (Reading list)
title 110th Anniversary: An Effective Methodology for Kinetic Parameter Estimation for Modeling Commercial Polyolefin Processes from Plant Data Using Efficient Simulation Software Tools
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T15%3A29%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-acs_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=110th%20Anniversary:%20An%20Effective%20Methodology%20for%20Kinetic%20Parameter%20Estimation%20for%20Modeling%20Commercial%20Polyolefin%20Processes%20from%20Plant%20Data%20Using%20Efficient%20Simulation%20Software%20Tools&rft.jtitle=Industrial%20&%20engineering%20chemistry%20research&rft.au=Sharma,%20Niket&rft.date=2019-08-07&rft.volume=58&rft.issue=31&rft.spage=14209&rft.epage=14226&rft.pages=14209-14226&rft.issn=0888-5885&rft.eissn=1520-5045&rft_id=info:doi/10.1021/acs.iecr.9b02277&rft_dat=%3Cacs_cross%3Ec592420996%3C/acs_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-a317t-4ce185c1dee025e41c36e8ef2977a91321f41f9098ef603c90b536b781201a183%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true