A mathematical model for a hybrid anaerobic reactor
A mathematical model for a hybrid anaerobic reactor (HAR), which uses self-immobilized anaerobic bacterial granules under completely fluidized condition, has been developed. Stoichiometry of glucose fermentation into methane has been considered in this model. The model includes: (1) a biofilm model...
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description | A mathematical model for a hybrid anaerobic reactor (HAR), which uses self-immobilized anaerobic bacterial granules under completely fluidized condition, has been developed. Stoichiometry of glucose fermentation into methane has been considered in this model. The model includes: (1) a biofilm model which describes substrate conversion kinetics within a single granule; (2) a bed fluidization model which describes the distribution of biogranules within the fluidized bed and (3) a reactor model which links the above two to predict the substrate and products concentration profile along the reactor height. Product and pH inhibition for each group of bacteria has been considered in the kinetic model. The spatial distribution of each group of anaerobic bacteria within granules has been found to play a vital role in bringing about the conversion. Experiments were conducted in the reactor using a synthetic effluent containing glucose as the carbon source to study the treatment efficiency. The model was simulated first assuming a 3-layered distribution [MacLeod, F.A., Guiot, S.R., Costerton, J.W., 1990. Layered structure of bacterial aggregates produced in an upflow anaerobic sludge bed and filter reactor. Applied and Environmental Microbiology 56, 1598–1607.] of anaerobic bacteria within granules and then homogeneous distribution [Grotenhuis, J.T.C., Smit, M., Plugge, C.M., Yuansheng, X., van Lammeren, A.A.M., Stams, A.J.M., Zehnder, A.J.B., 1991. Bacterial composition and structure of granular sludge adapted to different substrates. Applied and Environmental Microbiology 57, 1942–1949.] of anaerobic bacteria. The predictions of model simulation with the assumption of layered structure closely represented the experimental data. |
doi_str_mv | 10.1016/j.jenvman.2007.01.036 |
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Stoichiometry of glucose fermentation into methane has been considered in this model. The model includes: (1) a biofilm model which describes substrate conversion kinetics within a single granule; (2) a bed fluidization model which describes the distribution of biogranules within the fluidized bed and (3) a reactor model which links the above two to predict the substrate and products concentration profile along the reactor height. Product and pH inhibition for each group of bacteria has been considered in the kinetic model. The spatial distribution of each group of anaerobic bacteria within granules has been found to play a vital role in bringing about the conversion. Experiments were conducted in the reactor using a synthetic effluent containing glucose as the carbon source to study the treatment efficiency. The model was simulated first assuming a 3-layered distribution [MacLeod, F.A., Guiot, S.R., Costerton, J.W., 1990. Layered structure of bacterial aggregates produced in an upflow anaerobic sludge bed and filter reactor. Applied and Environmental Microbiology 56, 1598–1607.] of anaerobic bacteria within granules and then homogeneous distribution [Grotenhuis, J.T.C., Smit, M., Plugge, C.M., Yuansheng, X., van Lammeren, A.A.M., Stams, A.J.M., Zehnder, A.J.B., 1991. Bacterial composition and structure of granular sludge adapted to different substrates. Applied and Environmental Microbiology 57, 1942–1949.] of anaerobic bacteria. 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Stoichiometry of glucose fermentation into methane has been considered in this model. The model includes: (1) a biofilm model which describes substrate conversion kinetics within a single granule; (2) a bed fluidization model which describes the distribution of biogranules within the fluidized bed and (3) a reactor model which links the above two to predict the substrate and products concentration profile along the reactor height. Product and pH inhibition for each group of bacteria has been considered in the kinetic model. The spatial distribution of each group of anaerobic bacteria within granules has been found to play a vital role in bringing about the conversion. Experiments were conducted in the reactor using a synthetic effluent containing glucose as the carbon source to study the treatment efficiency. The model was simulated first assuming a 3-layered distribution [MacLeod, F.A., Guiot, S.R., Costerton, J.W., 1990. Layered structure of bacterial aggregates produced in an upflow anaerobic sludge bed and filter reactor. Applied and Environmental Microbiology 56, 1598–1607.] of anaerobic bacteria within granules and then homogeneous distribution [Grotenhuis, J.T.C., Smit, M., Plugge, C.M., Yuansheng, X., van Lammeren, A.A.M., Stams, A.J.M., Zehnder, A.J.B., 1991. Bacterial composition and structure of granular sludge adapted to different substrates. Applied and Environmental Microbiology 57, 1942–1949.] of anaerobic bacteria. The predictions of model simulation with the assumption of layered structure closely represented the experimental data.</description><subject>Anaerobic reactor</subject><subject>Anaerobiosis</subject><subject>Animal, plant and microbial ecology</subject><subject>Applied ecology</subject><subject>Bacteria</subject><subject>Biofilm reactor</subject><subject>Biological and medical sciences</subject><subject>Bioreactors</subject><subject>Conservation, protection and management of environment and wildlife</subject><subject>Environmental economics</subject><subject>Fermentation</subject><subject>Fluidized bed</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects</subject><subject>General aspects. Techniques</subject><subject>Glucose</subject><subject>Mathematical model</subject><subject>Mathematical models</subject><subject>Methods and techniques (sampling, tagging, trapping, modelling...)</subject><subject>Microbiology</subject><subject>Models, Biological</subject><subject>Simulation</subject><subject>Waste Disposal, Fluid - instrumentation</subject><subject>Waste Disposal, Fluid - methods</subject><issn>0301-4797</issn><issn>1095-8630</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU1r3DAQhkVpaTZpf0KLKaQ3OzOSLcmnEkKaFgK9pGchyyMi449U8gby76NlTQu97GXm8szLzDyMfUKoEFBeDdVA8_Nk54oDqAqwAiHfsB1C25RaCnjLdiAAy1q16oydpzQAgOCo3rMzVELqFvWOietisusj5RKcHYtp6Wks_BILWzy-dDH0hZ0txaULrohk3brED-ydt2Oij1u_YL-_3z7c_Cjvf939vLm-L12DYi1947i0Vva9VcJrJ1pVU8uFkh69r33TkScleWdr3XZ5m061UmHXOQSJTS8u2Ndj7lNc_uwprWYKydE42pmWfTKyRcW1EifBw7EcND8JclBcgjydiLVWAFxl8Mt_4LDs45zfYrBtpEBZ1xlqjpCLS0qRvHmKYbLxxSCYg00zmM2mOdg0gCbbzHOft_B9N1H_b2rTl4HLDbAp2_PRzi6kvxwHIZRuDkHfjhxlXc-Bokku0OyoD5HcavolnFjlFX3RvYw</recordid><startdate>20080701</startdate><enddate>20080701</enddate><creator>Saravanan, V.</creator><creator>Sreekrishnan, T.R.</creator><general>Elsevier Ltd</general><general>Elsevier</general><general>Academic Press Ltd</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>7QH</scope><scope>7SN</scope><scope>7ST</scope><scope>7UA</scope><scope>8BJ</scope><scope>C1K</scope><scope>F1W</scope><scope>FQK</scope><scope>H97</scope><scope>JBE</scope><scope>L.G</scope><scope>SOI</scope><scope>7QL</scope><scope>7QO</scope><scope>7T7</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20080701</creationdate><title>A mathematical model for a hybrid anaerobic reactor</title><author>Saravanan, V. ; Sreekrishnan, T.R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c513t-f5c26aa6dda73f8c3974e92376f1ff4f5befe762ba489b918b79671bbc10615d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Anaerobic reactor</topic><topic>Anaerobiosis</topic><topic>Animal, plant and microbial ecology</topic><topic>Applied ecology</topic><topic>Bacteria</topic><topic>Biofilm reactor</topic><topic>Biological and medical sciences</topic><topic>Bioreactors</topic><topic>Conservation, protection and management of environment and wildlife</topic><topic>Environmental economics</topic><topic>Fermentation</topic><topic>Fluidized bed</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects</topic><topic>General aspects. Techniques</topic><topic>Glucose</topic><topic>Mathematical model</topic><topic>Mathematical models</topic><topic>Methods and techniques (sampling, tagging, trapping, modelling...)</topic><topic>Microbiology</topic><topic>Models, Biological</topic><topic>Simulation</topic><topic>Waste Disposal, Fluid - instrumentation</topic><topic>Waste Disposal, Fluid - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Saravanan, V.</creatorcontrib><creatorcontrib>Sreekrishnan, T.R.</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>Aqualine</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>International Bibliography of the Social Sciences</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>International Bibliography of the Social Sciences</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of environmental management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Saravanan, V.</au><au>Sreekrishnan, T.R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A mathematical model for a hybrid anaerobic reactor</atitle><jtitle>Journal of environmental management</jtitle><addtitle>J Environ Manage</addtitle><date>2008-07-01</date><risdate>2008</risdate><volume>88</volume><issue>1</issue><spage>136</spage><epage>146</epage><pages>136-146</pages><issn>0301-4797</issn><eissn>1095-8630</eissn><coden>JEVMAW</coden><abstract>A mathematical model for a hybrid anaerobic reactor (HAR), which uses self-immobilized anaerobic bacterial granules under completely fluidized condition, has been developed. Stoichiometry of glucose fermentation into methane has been considered in this model. The model includes: (1) a biofilm model which describes substrate conversion kinetics within a single granule; (2) a bed fluidization model which describes the distribution of biogranules within the fluidized bed and (3) a reactor model which links the above two to predict the substrate and products concentration profile along the reactor height. Product and pH inhibition for each group of bacteria has been considered in the kinetic model. The spatial distribution of each group of anaerobic bacteria within granules has been found to play a vital role in bringing about the conversion. Experiments were conducted in the reactor using a synthetic effluent containing glucose as the carbon source to study the treatment efficiency. The model was simulated first assuming a 3-layered distribution [MacLeod, F.A., Guiot, S.R., Costerton, J.W., 1990. Layered structure of bacterial aggregates produced in an upflow anaerobic sludge bed and filter reactor. Applied and Environmental Microbiology 56, 1598–1607.] of anaerobic bacteria within granules and then homogeneous distribution [Grotenhuis, J.T.C., Smit, M., Plugge, C.M., Yuansheng, X., van Lammeren, A.A.M., Stams, A.J.M., Zehnder, A.J.B., 1991. Bacterial composition and structure of granular sludge adapted to different substrates. Applied and Environmental Microbiology 57, 1942–1949.] of anaerobic bacteria. The predictions of model simulation with the assumption of layered structure closely represented the experimental data.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><pmid>17368918</pmid><doi>10.1016/j.jenvman.2007.01.036</doi><tpages>11</tpages></addata></record> |
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subjects | Anaerobic reactor Anaerobiosis Animal, plant and microbial ecology Applied ecology Bacteria Biofilm reactor Biological and medical sciences Bioreactors Conservation, protection and management of environment and wildlife Environmental economics Fermentation Fluidized bed Fundamental and applied biological sciences. Psychology General aspects General aspects. Techniques Glucose Mathematical model Mathematical models Methods and techniques (sampling, tagging, trapping, modelling...) Microbiology Models, Biological Simulation Waste Disposal, Fluid - instrumentation Waste Disposal, Fluid - methods |
title | A mathematical model for a hybrid anaerobic reactor |
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