Evaluation of a static granular bed reactor using a chemical oxygen demand balance and mathematical modeling
In order to evaluate the static granular bed reactor (SGBR), a chemical oxygen demand (COD) balance was used along with a mathematical model. The SGBR was operated with an organic loading rate (OLR) ranging from 0.8 to 5.5kg/m3 day at 24°C. The average COD removal efficiency was 87.4%, and the remov...
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| Veröffentlicht in: | Bioresource technology 2011-06, Vol.102 (11), p.6399-6404 |
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| creator | Lim, Seung Joo Fox, Peter |
| description | In order to evaluate the static granular bed reactor (SGBR), a chemical oxygen demand (COD) balance was used along with a mathematical model. The SGBR was operated with an organic loading rate (OLR) ranging from 0.8 to 5.5kg/m3 day at 24°C. The average COD removal efficiency was 87.4%, and the removal efficiencies of COD, carbohydrates, and proteins increased with an OLR, while the lipids removal efficiency was not a function of an OLR. From the results of the COD balance, the yield of biomass increased with an OLR. The SGBR was modeled using the general transport equation considering advection, diffusion, and degradation by microorganisms, and the first-order reaction rate constant was 0.0166/day. The simulation results were in excellent agreement with experimental data. In addition, the SGBR model provided mechanistic insight into why the COD removal efficiency in the SGBR is proportional to an OLR. |
| doi_str_mv | 10.1016/j.biortech.2011.03.031 |
| format | Article |
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The SGBR was operated with an organic loading rate (OLR) ranging from 0.8 to 5.5kg/m3 day at 24°C. The average COD removal efficiency was 87.4%, and the removal efficiencies of COD, carbohydrates, and proteins increased with an OLR, while the lipids removal efficiency was not a function of an OLR. From the results of the COD balance, the yield of biomass increased with an OLR. The SGBR was modeled using the general transport equation considering advection, diffusion, and degradation by microorganisms, and the first-order reaction rate constant was 0.0166/day. The simulation results were in excellent agreement with experimental data. In addition, the SGBR model provided mechanistic insight into why the COD removal efficiency in the SGBR is proportional to an OLR.</description><identifier>ISSN: 0960-8524</identifier><identifier>EISSN: 1873-2976</identifier><identifier>DOI: 10.1016/j.biortech.2011.03.031</identifier><identifier>PMID: 21470852</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Animals ; Biological and medical sciences ; Biological Oxygen Demand Analysis - instrumentation ; Biological Oxygen Demand Analysis - methods ; Biomass ; Bioreactors ; COD balance ; Computational efficiency ; Computer Simulation ; Computing time ; Crack opening displacement ; Diffusion rate ; Fundamental and applied biological sciences. Psychology ; Kinetics ; Mathematical model ; Mathematical models ; Models, Biological ; Organic Chemicals - isolation & purification ; Organic loading rate ; Oxygen demand ; Reactors ; Rheology ; Static granular bed reactor ; Sus scrofa ; Waste Disposal, Fluid</subject><ispartof>Bioresource technology, 2011-06, Vol.102 (11), p.6399-6404</ispartof><rights>2011 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2011 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c462t-949bf18be2d442452d73f1f02735a39cbb06cf1feaaf03bd73ee0be3702198673</citedby><cites>FETCH-LOGICAL-c462t-949bf18be2d442452d73f1f02735a39cbb06cf1feaaf03bd73ee0be3702198673</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.biortech.2011.03.031$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24166428$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21470852$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lim, Seung Joo</creatorcontrib><creatorcontrib>Fox, Peter</creatorcontrib><title>Evaluation of a static granular bed reactor using a chemical oxygen demand balance and mathematical modeling</title><title>Bioresource technology</title><addtitle>Bioresour Technol</addtitle><description>In order to evaluate the static granular bed reactor (SGBR), a chemical oxygen demand (COD) balance was used along with a mathematical model. The SGBR was operated with an organic loading rate (OLR) ranging from 0.8 to 5.5kg/m3 day at 24°C. The average COD removal efficiency was 87.4%, and the removal efficiencies of COD, carbohydrates, and proteins increased with an OLR, while the lipids removal efficiency was not a function of an OLR. From the results of the COD balance, the yield of biomass increased with an OLR. The SGBR was modeled using the general transport equation considering advection, diffusion, and degradation by microorganisms, and the first-order reaction rate constant was 0.0166/day. The simulation results were in excellent agreement with experimental data. In addition, the SGBR model provided mechanistic insight into why the COD removal efficiency in the SGBR is proportional to an OLR.</description><subject>Animals</subject><subject>Biological and medical sciences</subject><subject>Biological Oxygen Demand Analysis - instrumentation</subject><subject>Biological Oxygen Demand Analysis - methods</subject><subject>Biomass</subject><subject>Bioreactors</subject><subject>COD balance</subject><subject>Computational efficiency</subject><subject>Computer Simulation</subject><subject>Computing time</subject><subject>Crack opening displacement</subject><subject>Diffusion rate</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Kinetics</subject><subject>Mathematical model</subject><subject>Mathematical models</subject><subject>Models, Biological</subject><subject>Organic Chemicals - isolation & purification</subject><subject>Organic loading rate</subject><subject>Oxygen demand</subject><subject>Reactors</subject><subject>Rheology</subject><subject>Static granular bed reactor</subject><subject>Sus scrofa</subject><subject>Waste Disposal, Fluid</subject><issn>0960-8524</issn><issn>1873-2976</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU1v1DAQhi0EokvhL1S-ILhk8dfa8Q1UFYpUiQucLduZbL1K4mInFf33TLRbuFGkkezxPO94NC8hF5xtOeP6w2EbUi4zxNutYJxvmcTgz8iGt0Y2whr9nGyY1axpd0KdkVe1HhhDxIiX5ExwZRgWNmS4uvfD4ueUJ5p76mmdMYl0X_y0DL7QAB0t4OOcC11qmvbIxFsYU_QDzb8e9jDRDkY_dTT4wU8R6Hof_YzQ2gqxMXcwoPQ1edH7ocKb03lOfny--n553dx8-_L18tNNE5UWc2OVDT1vA4hOKaF2ojOy5z0TRu68tDEEpiM-gPc9kwGrACyANExw22ojz8m7Y9-7kn8uUGc3phphwPEgL9W12u5ai9v5D1IZY7mxSL7_J8m14bLlUnJE9RGNJddaoHd3JY2-PDjO3OqeO7hH99zqnmMSYxVenP5YwgjdH9mjXQi8PQG-4mJ7NCmm-pdTXGslWuQ-HjnALd8nKK7GBOhNlwrE2XU5PTXLb4mku94</recordid><startdate>20110601</startdate><enddate>20110601</enddate><creator>Lim, Seung Joo</creator><creator>Fox, Peter</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SU</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>KR7</scope><scope>7X8</scope><scope>7QO</scope><scope>7ST</scope><scope>P64</scope><scope>SOI</scope></search><sort><creationdate>20110601</creationdate><title>Evaluation of a static granular bed reactor using a chemical oxygen demand balance and mathematical modeling</title><author>Lim, Seung Joo ; Fox, Peter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c462t-949bf18be2d442452d73f1f02735a39cbb06cf1feaaf03bd73ee0be3702198673</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Animals</topic><topic>Biological and medical sciences</topic><topic>Biological Oxygen Demand Analysis - instrumentation</topic><topic>Biological Oxygen Demand Analysis - methods</topic><topic>Biomass</topic><topic>Bioreactors</topic><topic>COD balance</topic><topic>Computational efficiency</topic><topic>Computer Simulation</topic><topic>Computing time</topic><topic>Crack opening displacement</topic><topic>Diffusion rate</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Kinetics</topic><topic>Mathematical model</topic><topic>Mathematical models</topic><topic>Models, Biological</topic><topic>Organic Chemicals - isolation & purification</topic><topic>Organic loading rate</topic><topic>Oxygen demand</topic><topic>Reactors</topic><topic>Rheology</topic><topic>Static granular bed reactor</topic><topic>Sus scrofa</topic><topic>Waste Disposal, Fluid</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lim, Seung Joo</creatorcontrib><creatorcontrib>Fox, Peter</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</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>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Bioresource technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lim, Seung Joo</au><au>Fox, Peter</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of a static granular bed reactor using a chemical oxygen demand balance and mathematical modeling</atitle><jtitle>Bioresource technology</jtitle><addtitle>Bioresour Technol</addtitle><date>2011-06-01</date><risdate>2011</risdate><volume>102</volume><issue>11</issue><spage>6399</spage><epage>6404</epage><pages>6399-6404</pages><issn>0960-8524</issn><eissn>1873-2976</eissn><abstract>In order to evaluate the static granular bed reactor (SGBR), a chemical oxygen demand (COD) balance was used along with a mathematical model. 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| subjects | Animals Biological and medical sciences Biological Oxygen Demand Analysis - instrumentation Biological Oxygen Demand Analysis - methods Biomass Bioreactors COD balance Computational efficiency Computer Simulation Computing time Crack opening displacement Diffusion rate Fundamental and applied biological sciences. Psychology Kinetics Mathematical model Mathematical models Models, Biological Organic Chemicals - isolation & purification Organic loading rate Oxygen demand Reactors Rheology Static granular bed reactor Sus scrofa Waste Disposal, Fluid |
| title | Evaluation of a static granular bed reactor using a chemical oxygen demand balance and mathematical modeling |
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