Customization and validation of a commercial process simulator for dynamic simulation of Helium liquefier
Dynamic simulation of helium plants using Aspen Hysys ®, V7.0 has been validated using cool-down temperature data from two existing helium plants under operation. Fluid properties of helium using 32-term MBWR EOS are found to be numerically unstable and Hepak ® data has been fed as a table. Metal pr...
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Veröffentlicht in: | Energy (Oxford) 2011-05, Vol.36 (5), p.3204-3214 |
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container_title | Energy (Oxford) |
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creator | Dutta, Rohan Ghosh, Parthasarathi Chowdhury, Kanchan |
description | Dynamic simulation of helium plants using Aspen Hysys
®, V7.0 has been validated using cool-down temperature data from two existing helium plants under operation. Fluid properties of helium using 32-term MBWR EOS are found to be numerically unstable and Hepak
® data has been fed as a table. Metal properties in Aspen Hysys
® do not have temperature dependence and NIST data has been attached. Expansion engine and turbine characteristic equations also have been successfully incorporated into the process simulator. Unknown plant parameters have been estimated using Least Square Deviation method. The simulation results match closely with the real plant data after these customization and parameter estimations. A real time factor between 8 and 14 has been achieved.
► A commercial process simulator is customized for simulating helium liquefier. ► Operational data of two existing plants are used for validating customizations. ► Validation has been performed for cool-down operation of the plants. ► Helium and metal property data attached as tables for increasing speed and accuracy. ► Least Square Deviation method is used to determine unknown plant parameters. |
doi_str_mv | 10.1016/j.energy.2011.03.009 |
format | Article |
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®, V7.0 has been validated using cool-down temperature data from two existing helium plants under operation. Fluid properties of helium using 32-term MBWR EOS are found to be numerically unstable and Hepak
® data has been fed as a table. Metal properties in Aspen Hysys
® do not have temperature dependence and NIST data has been attached. Expansion engine and turbine characteristic equations also have been successfully incorporated into the process simulator. Unknown plant parameters have been estimated using Least Square Deviation method. The simulation results match closely with the real plant data after these customization and parameter estimations. A real time factor between 8 and 14 has been achieved.
► A commercial process simulator is customized for simulating helium liquefier. ► Operational data of two existing plants are used for validating customizations. ► Validation has been performed for cool-down operation of the plants. ► Helium and metal property data attached as tables for increasing speed and accuracy. ► Least Square Deviation method is used to determine unknown plant parameters.</description><identifier>ISSN: 0360-5442</identifier><identifier>DOI: 10.1016/j.energy.2011.03.009</identifier><identifier>CODEN: ENEYDS</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Applied sciences ; Aspen Hysys ; Computer simulation ; Controled nuclear fusion plants ; Deviation ; Dynamic modeling and simulation ; Dynamics ; Energy ; Energy. Thermal use of fuels ; equations ; Exact sciences and technology ; Helium ; Helium liquefier ; Installations for energy generation and conversion: thermal and electrical energy ; Liquefiers ; Mathematical analysis ; Mathematical models ; Parameter estimation ; temperature ; Temperature dependence ; turbine engines</subject><ispartof>Energy (Oxford), 2011-05, Vol.36 (5), p.3204-3214</ispartof><rights>2011 Elsevier Ltd</rights><rights>2014 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c425t-d5c622819c377d285fbe558b122e402c9e3bb7107beadaca540b859469e675133</citedby><cites>FETCH-LOGICAL-c425t-d5c622819c377d285fbe558b122e402c9e3bb7107beadaca540b859469e675133</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.energy.2011.03.009$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3548,27923,27924,45994</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24213185$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Dutta, Rohan</creatorcontrib><creatorcontrib>Ghosh, Parthasarathi</creatorcontrib><creatorcontrib>Chowdhury, Kanchan</creatorcontrib><title>Customization and validation of a commercial process simulator for dynamic simulation of Helium liquefier</title><title>Energy (Oxford)</title><description>Dynamic simulation of helium plants using Aspen Hysys
®, V7.0 has been validated using cool-down temperature data from two existing helium plants under operation. Fluid properties of helium using 32-term MBWR EOS are found to be numerically unstable and Hepak
® data has been fed as a table. Metal properties in Aspen Hysys
® do not have temperature dependence and NIST data has been attached. Expansion engine and turbine characteristic equations also have been successfully incorporated into the process simulator. Unknown plant parameters have been estimated using Least Square Deviation method. The simulation results match closely with the real plant data after these customization and parameter estimations. A real time factor between 8 and 14 has been achieved.
► A commercial process simulator is customized for simulating helium liquefier. ► Operational data of two existing plants are used for validating customizations. ► Validation has been performed for cool-down operation of the plants. ► Helium and metal property data attached as tables for increasing speed and accuracy. ► Least Square Deviation method is used to determine unknown plant parameters.</description><subject>Applied sciences</subject><subject>Aspen Hysys</subject><subject>Computer simulation</subject><subject>Controled nuclear fusion plants</subject><subject>Deviation</subject><subject>Dynamic modeling and simulation</subject><subject>Dynamics</subject><subject>Energy</subject><subject>Energy. Thermal use of fuels</subject><subject>equations</subject><subject>Exact sciences and technology</subject><subject>Helium</subject><subject>Helium liquefier</subject><subject>Installations for energy generation and conversion: thermal and electrical energy</subject><subject>Liquefiers</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Parameter estimation</subject><subject>temperature</subject><subject>Temperature dependence</subject><subject>turbine engines</subject><issn>0360-5442</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNp9kcFq3DAQhn1ooWnaNwjUl9Je1h3JkixdCmVpm0KghyRnMZbHQYtspZId2D59tHjbYw5CaPj-meFTVV0xaBgw9eXQ0Ezp4dhwYKyBtgEwr6oLaBXspBD8TfU25wMASG3MReX3a17i5P_i4uNc4zzUTxj8sD3jWGPt4jRRch5D_Ziio5zr7Kc14BJTPZYzHGecvPtXPQevKfh1qoP_s9LoKb2rXo8YMr0_35fV_Y_vd_vr3c3vn7_23252TnC57AbpFOeaGdd23cC1HHuSUveMcxLAnaG27zsGXU84oEMpoNfSCGVIdZK17WX1aetbli2j82Innx2FgDPFNVutQUmlhSnk5xdJ1nUdY4rBqanYUJdizolG-5j8hOloGdiTd3uwm3d78m6htcV7iX08T8DsMIwJZ-fz_ywXnLVMy8J92LgRo8WHVJj729JIlX9SxmgoxNeNoKLuqei02XmaHQ0-kVvsEP3LqzwDe0anFw</recordid><startdate>20110501</startdate><enddate>20110501</enddate><creator>Dutta, Rohan</creator><creator>Ghosh, Parthasarathi</creator><creator>Chowdhury, Kanchan</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7SU</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>7ST</scope><scope>SOI</scope></search><sort><creationdate>20110501</creationdate><title>Customization and validation of a commercial process simulator for dynamic simulation of Helium liquefier</title><author>Dutta, Rohan ; Ghosh, Parthasarathi ; Chowdhury, Kanchan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c425t-d5c622819c377d285fbe558b122e402c9e3bb7107beadaca540b859469e675133</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Applied sciences</topic><topic>Aspen Hysys</topic><topic>Computer simulation</topic><topic>Controled nuclear fusion plants</topic><topic>Deviation</topic><topic>Dynamic modeling and simulation</topic><topic>Dynamics</topic><topic>Energy</topic><topic>Energy. Thermal use of fuels</topic><topic>equations</topic><topic>Exact sciences and technology</topic><topic>Helium</topic><topic>Helium liquefier</topic><topic>Installations for energy generation and conversion: thermal and electrical energy</topic><topic>Liquefiers</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Parameter estimation</topic><topic>temperature</topic><topic>Temperature dependence</topic><topic>turbine engines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dutta, Rohan</creatorcontrib><creatorcontrib>Ghosh, Parthasarathi</creatorcontrib><creatorcontrib>Chowdhury, Kanchan</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Environmental Engineering Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Energy (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dutta, Rohan</au><au>Ghosh, Parthasarathi</au><au>Chowdhury, Kanchan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Customization and validation of a commercial process simulator for dynamic simulation of Helium liquefier</atitle><jtitle>Energy (Oxford)</jtitle><date>2011-05-01</date><risdate>2011</risdate><volume>36</volume><issue>5</issue><spage>3204</spage><epage>3214</epage><pages>3204-3214</pages><issn>0360-5442</issn><coden>ENEYDS</coden><abstract>Dynamic simulation of helium plants using Aspen Hysys
®, V7.0 has been validated using cool-down temperature data from two existing helium plants under operation. Fluid properties of helium using 32-term MBWR EOS are found to be numerically unstable and Hepak
® data has been fed as a table. Metal properties in Aspen Hysys
® do not have temperature dependence and NIST data has been attached. Expansion engine and turbine characteristic equations also have been successfully incorporated into the process simulator. Unknown plant parameters have been estimated using Least Square Deviation method. The simulation results match closely with the real plant data after these customization and parameter estimations. A real time factor between 8 and 14 has been achieved.
► A commercial process simulator is customized for simulating helium liquefier. ► Operational data of two existing plants are used for validating customizations. ► Validation has been performed for cool-down operation of the plants. ► Helium and metal property data attached as tables for increasing speed and accuracy. ► Least Square Deviation method is used to determine unknown plant parameters.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.energy.2011.03.009</doi><tpages>11</tpages></addata></record> |
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source | ScienceDirect Journals (5 years ago - present) |
subjects | Applied sciences Aspen Hysys Computer simulation Controled nuclear fusion plants Deviation Dynamic modeling and simulation Dynamics Energy Energy. Thermal use of fuels equations Exact sciences and technology Helium Helium liquefier Installations for energy generation and conversion: thermal and electrical energy Liquefiers Mathematical analysis Mathematical models Parameter estimation temperature Temperature dependence turbine engines |
title | Customization and validation of a commercial process simulator for dynamic simulation of Helium liquefier |
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