Heterogeneous batch distillation processes: Real system optimisation
In this paper, optimisation of batch distillation processes is considered. It deals with real systems with rigorous simulation of the processes through the resolution full MESH differential algebraic equations. Specific software architecture is developed, based on the BatchColumn ® simulator and on...
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| Veröffentlicht in: | Chemical engineering and processing 2008-03, Vol.47 (3), p.408-419 |
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| container_title | Chemical engineering and processing |
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| creator | Pommier, S. Massebeuf, S. Kotai, B. Lang, P. Baudouin, O. Floquet, P. Gerbaud, V. |
| description | In this paper, optimisation of batch distillation processes is considered. It deals with real systems with rigorous simulation of the processes through the resolution full MESH differential algebraic equations. Specific software architecture is developed, based on the BatchColumn
® simulator and on both SQP and GA numerical algorithms, and is able to optimise sequential batch columns as long as the column transitions are set.
The efficiency of the proposed optimisation tool is illustrated by two case studies. The first one concerns heterogeneous batch solvent recovery in a single distillation column and shows that significant economical gains are obtained along with improved process conditions. Case two concerns the optimisation of two sequential homogeneous batch distillation columns and demonstrates the capacity to optimise several sequential dynamic different processes. For such multiobjective complex problems, GA is preferred to SQP that is able to improve specific GA solutions. |
| doi_str_mv | 10.1016/j.cep.2007.01.022 |
| format | Article |
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® simulator and on both SQP and GA numerical algorithms, and is able to optimise sequential batch columns as long as the column transitions are set.
The efficiency of the proposed optimisation tool is illustrated by two case studies. The first one concerns heterogeneous batch solvent recovery in a single distillation column and shows that significant economical gains are obtained along with improved process conditions. Case two concerns the optimisation of two sequential homogeneous batch distillation columns and demonstrates the capacity to optimise several sequential dynamic different processes. For such multiobjective complex problems, GA is preferred to SQP that is able to improve specific GA solutions.</description><identifier>ISSN: 0255-2701</identifier><identifier>EISSN: 1873-3204</identifier><identifier>DOI: 10.1016/j.cep.2007.01.022</identifier><identifier>CODEN: CENPEU</identifier><language>eng</language><publisher>Lausanne: Elsevier B.V</publisher><subject>Applied sciences ; Batch distillation ; Batch distillation sequence ; Chemical engineering ; Chemical Sciences ; Distillation ; Exact sciences and technology ; Heterogeneous azeotrope ; Optimisation</subject><ispartof>Chemical engineering and processing, 2008-03, Vol.47 (3), p.408-419</ispartof><rights>2007 Elsevier B.V.</rights><rights>2008 INIST-CNRS</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c404t-8ae89a0c83a2274928220e2768f8a6884a1ba144b4e9806118613db788c6be5a3</citedby><cites>FETCH-LOGICAL-c404t-8ae89a0c83a2274928220e2768f8a6884a1ba144b4e9806118613db788c6be5a3</cites><orcidid>0000-0003-1238-6206 ; 0000-0003-2738-7922</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0255270107000128$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,309,310,314,776,780,785,786,881,3537,23909,23910,25118,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20175628$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-00467110$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Pommier, S.</creatorcontrib><creatorcontrib>Massebeuf, S.</creatorcontrib><creatorcontrib>Kotai, B.</creatorcontrib><creatorcontrib>Lang, P.</creatorcontrib><creatorcontrib>Baudouin, O.</creatorcontrib><creatorcontrib>Floquet, P.</creatorcontrib><creatorcontrib>Gerbaud, V.</creatorcontrib><title>Heterogeneous batch distillation processes: Real system optimisation</title><title>Chemical engineering and processing</title><description>In this paper, optimisation of batch distillation processes is considered. It deals with real systems with rigorous simulation of the processes through the resolution full MESH differential algebraic equations. Specific software architecture is developed, based on the BatchColumn
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The efficiency of the proposed optimisation tool is illustrated by two case studies. The first one concerns heterogeneous batch solvent recovery in a single distillation column and shows that significant economical gains are obtained along with improved process conditions. Case two concerns the optimisation of two sequential homogeneous batch distillation columns and demonstrates the capacity to optimise several sequential dynamic different processes. For such multiobjective complex problems, GA is preferred to SQP that is able to improve specific GA solutions.</description><subject>Applied sciences</subject><subject>Batch distillation</subject><subject>Batch distillation sequence</subject><subject>Chemical engineering</subject><subject>Chemical Sciences</subject><subject>Distillation</subject><subject>Exact sciences and technology</subject><subject>Heterogeneous azeotrope</subject><subject>Optimisation</subject><issn>0255-2701</issn><issn>1873-3204</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LAzEQQIMoWKs_wNtePHjYdSabzaZ6KvWjQkEQPYfZdGpTtt0lWQv9926t9OgpMLw3Q54Q1wgZAuq7Vea4zSRAmQFmIOWJGKAp8zSXoE7FAGRRpLIEPBcXMa4AQBssBuJxyh2H5os33HzHpKLOLZO5j52va-p8s0na0DiOkeN98s5UJ3EXO14nTdv5tY-_zKU4W1Ad-ervHYrP56ePyTSdvb28Tsaz1ClQXWqIzYjAmZykLNVIGimBZanNwpA2RhFWhEpVikcGNKLRmM-r0hinKy4oH4rbw94l1bYNfk1hZxvydjqe2f0MQOkSEbbYs3hgXWhiDLw4Cgh2n8yubJ_M7pNZQNsn652bg9NSdFQvAm2cj0dRApaFlqbnHg4c95_deg42Os8bx3Mf2HV23vh_rvwAskx_1g</recordid><startdate>20080301</startdate><enddate>20080301</enddate><creator>Pommier, S.</creator><creator>Massebeuf, S.</creator><creator>Kotai, B.</creator><creator>Lang, P.</creator><creator>Baudouin, O.</creator><creator>Floquet, P.</creator><creator>Gerbaud, V.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0003-1238-6206</orcidid><orcidid>https://orcid.org/0000-0003-2738-7922</orcidid></search><sort><creationdate>20080301</creationdate><title>Heterogeneous batch distillation processes: Real system optimisation</title><author>Pommier, S. ; Massebeuf, S. ; Kotai, B. ; Lang, P. ; Baudouin, O. ; Floquet, P. ; Gerbaud, V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c404t-8ae89a0c83a2274928220e2768f8a6884a1ba144b4e9806118613db788c6be5a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Applied sciences</topic><topic>Batch distillation</topic><topic>Batch distillation sequence</topic><topic>Chemical engineering</topic><topic>Chemical Sciences</topic><topic>Distillation</topic><topic>Exact sciences and technology</topic><topic>Heterogeneous azeotrope</topic><topic>Optimisation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pommier, S.</creatorcontrib><creatorcontrib>Massebeuf, S.</creatorcontrib><creatorcontrib>Kotai, B.</creatorcontrib><creatorcontrib>Lang, P.</creatorcontrib><creatorcontrib>Baudouin, O.</creatorcontrib><creatorcontrib>Floquet, P.</creatorcontrib><creatorcontrib>Gerbaud, V.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Chemical engineering and processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pommier, S.</au><au>Massebeuf, S.</au><au>Kotai, B.</au><au>Lang, P.</au><au>Baudouin, O.</au><au>Floquet, P.</au><au>Gerbaud, V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Heterogeneous batch distillation processes: Real system optimisation</atitle><jtitle>Chemical engineering and processing</jtitle><date>2008-03-01</date><risdate>2008</risdate><volume>47</volume><issue>3</issue><spage>408</spage><epage>419</epage><pages>408-419</pages><issn>0255-2701</issn><eissn>1873-3204</eissn><coden>CENPEU</coden><abstract>In this paper, optimisation of batch distillation processes is considered. It deals with real systems with rigorous simulation of the processes through the resolution full MESH differential algebraic equations. Specific software architecture is developed, based on the BatchColumn
® simulator and on both SQP and GA numerical algorithms, and is able to optimise sequential batch columns as long as the column transitions are set.
The efficiency of the proposed optimisation tool is illustrated by two case studies. The first one concerns heterogeneous batch solvent recovery in a single distillation column and shows that significant economical gains are obtained along with improved process conditions. Case two concerns the optimisation of two sequential homogeneous batch distillation columns and demonstrates the capacity to optimise several sequential dynamic different processes. For such multiobjective complex problems, GA is preferred to SQP that is able to improve specific GA solutions.</abstract><cop>Lausanne</cop><pub>Elsevier B.V</pub><doi>10.1016/j.cep.2007.01.022</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-1238-6206</orcidid><orcidid>https://orcid.org/0000-0003-2738-7922</orcidid><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 0255-2701 |
| ispartof | Chemical engineering and processing, 2008-03, Vol.47 (3), p.408-419 |
| issn | 0255-2701 1873-3204 |
| language | eng |
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| source | Elsevier ScienceDirect Journals |
| subjects | Applied sciences Batch distillation Batch distillation sequence Chemical engineering Chemical Sciences Distillation Exact sciences and technology Heterogeneous azeotrope Optimisation |
| title | Heterogeneous batch distillation processes: Real system optimisation |
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