A generalized approach to model oxygen transfer in bioreactors using population balances and computational fluid dynamics
In many biological processes, increasing the rate of transport of a limiting nutrient can enhance the rate of product formation. In aerobic fermentation systems, the rate of oxygen transfer to the cells is usually the limiting factor. A key factor that influences oxygen transfer is bubble size distr...
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Veröffentlicht in: | Chemical engineering science 2005, Vol.60 (1), p.213-218 |
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description | In many biological processes, increasing the rate of transport of a limiting nutrient can enhance the rate of product formation. In aerobic fermentation systems, the rate of oxygen transfer to the cells is usually the limiting factor. A key factor that influences oxygen transfer is bubble size distribution. The bubble sizes dictate the available interfacial area for gas–liquid mass transfer. Scale-up and design of bioreactors must meet oxygen transfer requirements while maintaining low shear rates and a controlled flow pattern. This is the motivation for the current work that captures multiphase hydrodynamics and simultaneously predicts the bubble size distribution.
Bubbles break up and coalesce due to interactions with turbulent eddies, giving rise to a distribution of bubble sizes. These effects are included in the modeling approach by solving a population balance model with bubble breakage and coalescence. The population balance model was coupled to multiphase flow equations and solved using a commercial computational fluid mechanics code FLUENT 6. Gas holdup and volumetric mass transfer coefficients were predicted for different superficial velocities and compared to the experimental results of Kawase and Hashimoto (1996). The modeling results showed good agreement with experiment. |
doi_str_mv | 10.1016/j.ces.2004.07.118 |
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Bubbles break up and coalesce due to interactions with turbulent eddies, giving rise to a distribution of bubble sizes. These effects are included in the modeling approach by solving a population balance model with bubble breakage and coalescence. The population balance model was coupled to multiphase flow equations and solved using a commercial computational fluid mechanics code FLUENT 6. Gas holdup and volumetric mass transfer coefficients were predicted for different superficial velocities and compared to the experimental results of Kawase and Hashimoto (1996). The modeling results showed good agreement with experiment.</description><identifier>ISSN: 0009-2509</identifier><identifier>EISSN: 1873-4405</identifier><identifier>DOI: 10.1016/j.ces.2004.07.118</identifier><identifier>CODEN: CESCAC</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Airlift ; Applied sciences ; Biological and medical sciences ; Bioreactor ; Biotechnology ; Bubble column reactor ; Chemical engineering ; Exact sciences and technology ; Fundamental and applied biological sciences. Psychology ; Gas holdup ; Heat and mass transfer. Packings, plates ; Hydrodynamics of contact apparatus ; Loop reactor ; Mass transfer ; Methods. Procedures. Technologies ; Others ; Reactors ; Various methods and equipments</subject><ispartof>Chemical engineering science, 2005, Vol.60 (1), p.213-218</ispartof><rights>2004 Elsevier Ltd</rights><rights>2005 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c395t-d890a6059bd3d403f010f5ed2d41aa2948e0c956860b086e2d658f784d2881123</citedby><cites>FETCH-LOGICAL-c395t-d890a6059bd3d403f010f5ed2d41aa2948e0c956860b086e2d658f784d2881123</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0009250904005810$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,4010,27900,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16431279$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Dhanasekharan, Kumar M.</creatorcontrib><creatorcontrib>Sanyal, Jay</creatorcontrib><creatorcontrib>Jain, Anupam</creatorcontrib><creatorcontrib>Haidari, Ahmad</creatorcontrib><title>A generalized approach to model oxygen transfer in bioreactors using population balances and computational fluid dynamics</title><title>Chemical engineering science</title><description>In many biological processes, increasing the rate of transport of a limiting nutrient can enhance the rate of product formation. In aerobic fermentation systems, the rate of oxygen transfer to the cells is usually the limiting factor. A key factor that influences oxygen transfer is bubble size distribution. The bubble sizes dictate the available interfacial area for gas–liquid mass transfer. Scale-up and design of bioreactors must meet oxygen transfer requirements while maintaining low shear rates and a controlled flow pattern. This is the motivation for the current work that captures multiphase hydrodynamics and simultaneously predicts the bubble size distribution.
Bubbles break up and coalesce due to interactions with turbulent eddies, giving rise to a distribution of bubble sizes. These effects are included in the modeling approach by solving a population balance model with bubble breakage and coalescence. The population balance model was coupled to multiphase flow equations and solved using a commercial computational fluid mechanics code FLUENT 6. Gas holdup and volumetric mass transfer coefficients were predicted for different superficial velocities and compared to the experimental results of Kawase and Hashimoto (1996). The modeling results showed good agreement with experiment.</description><subject>Airlift</subject><subject>Applied sciences</subject><subject>Biological and medical sciences</subject><subject>Bioreactor</subject><subject>Biotechnology</subject><subject>Bubble column reactor</subject><subject>Chemical engineering</subject><subject>Exact sciences and technology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Gas holdup</subject><subject>Heat and mass transfer. Packings, plates</subject><subject>Hydrodynamics of contact apparatus</subject><subject>Loop reactor</subject><subject>Mass transfer</subject><subject>Methods. Procedures. 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Psychology</topic><topic>Gas holdup</topic><topic>Heat and mass transfer. Packings, plates</topic><topic>Hydrodynamics of contact apparatus</topic><topic>Loop reactor</topic><topic>Mass transfer</topic><topic>Methods. Procedures. Technologies</topic><topic>Others</topic><topic>Reactors</topic><topic>Various methods and equipments</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dhanasekharan, Kumar M.</creatorcontrib><creatorcontrib>Sanyal, Jay</creatorcontrib><creatorcontrib>Jain, Anupam</creatorcontrib><creatorcontrib>Haidari, Ahmad</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>Chemical engineering science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dhanasekharan, Kumar M.</au><au>Sanyal, Jay</au><au>Jain, Anupam</au><au>Haidari, Ahmad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A generalized approach to model oxygen transfer in bioreactors using population balances and computational fluid dynamics</atitle><jtitle>Chemical engineering science</jtitle><date>2005</date><risdate>2005</risdate><volume>60</volume><issue>1</issue><spage>213</spage><epage>218</epage><pages>213-218</pages><issn>0009-2509</issn><eissn>1873-4405</eissn><coden>CESCAC</coden><abstract>In many biological processes, increasing the rate of transport of a limiting nutrient can enhance the rate of product formation. In aerobic fermentation systems, the rate of oxygen transfer to the cells is usually the limiting factor. A key factor that influences oxygen transfer is bubble size distribution. The bubble sizes dictate the available interfacial area for gas–liquid mass transfer. Scale-up and design of bioreactors must meet oxygen transfer requirements while maintaining low shear rates and a controlled flow pattern. This is the motivation for the current work that captures multiphase hydrodynamics and simultaneously predicts the bubble size distribution.
Bubbles break up and coalesce due to interactions with turbulent eddies, giving rise to a distribution of bubble sizes. These effects are included in the modeling approach by solving a population balance model with bubble breakage and coalescence. The population balance model was coupled to multiphase flow equations and solved using a commercial computational fluid mechanics code FLUENT 6. Gas holdup and volumetric mass transfer coefficients were predicted for different superficial velocities and compared to the experimental results of Kawase and Hashimoto (1996). The modeling results showed good agreement with experiment.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ces.2004.07.118</doi><tpages>6</tpages></addata></record> |
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subjects | Airlift Applied sciences Biological and medical sciences Bioreactor Biotechnology Bubble column reactor Chemical engineering Exact sciences and technology Fundamental and applied biological sciences. Psychology Gas holdup Heat and mass transfer. Packings, plates Hydrodynamics of contact apparatus Loop reactor Mass transfer Methods. Procedures. Technologies Others Reactors Various methods and equipments |
title | A generalized approach to model oxygen transfer in bioreactors using population balances and computational fluid dynamics |
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