Case study comparisons of computational fluid dynamics (CFD) modeling versus tracer testing for determining clearwell residence times in drinking water treatment
Computational fluid dynamics (CFD) modeling and full-scale tracer tests (using barium or fluoride) were used to determine the baffle factors of clearwells at three Canadian water treatment facilities (two in Ottawa, Ontario, and one in Peterborough, Ontario). A variety of clearwell baffling configur...
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| Veröffentlicht in: | Journal of environmental engineering and science 2006-11, Vol.5 (6), p.529-536 |
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| creator | Templeton, M R Hofmann, R Andrews, R C |
| description | Computational fluid dynamics (CFD) modeling and full-scale tracer tests (using barium or fluoride) were used to determine the baffle factors of clearwells at three Canadian water treatment facilities (two in Ottawa, Ontario, and one in Peterborough, Ontario). A variety of clearwell baffling configurations and a range of flow rates (35 to 257 MLD) were considered. Two-dimensional CFD modeling (no depth dimension) was conducted using commercially available software (Fluent 6.0
®
). Virtual particle tracking allowed simulation of the residence time distribution for each clearwell configuration and flow rate condition. The baffle factors (t
10
/θ) derived from the CFD modeling closely matched the values obtained from full-scale tracer testing ( |
| doi_str_mv | 10.1139/s06-007 |
| format | Article |
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®
). Virtual particle tracking allowed simulation of the residence time distribution for each clearwell configuration and flow rate condition. The baffle factors (t
10
/θ) derived from the CFD modeling closely matched the values obtained from full-scale tracer testing (<10% difference in most cases). The results of the study suggest that CFD modeling can be a reliable alternative to tracer testing for determining clearwell residence times and can thereby provide improved estimates of chemical disinfection performance and disinfection by-product formation. Key words: computational fluid dynamics, tracer, clearwell, baffle factor, barium, fluoride, disinfection, drinking water.</description><identifier>ISSN: 1496-256X</identifier><identifier>ISSN: 1496-2551</identifier><identifier>EISSN: 1496-256X</identifier><identifier>DOI: 10.1139/s06-007</identifier><language>eng</language><publisher>Ottawa, Canada: NRC Research Press</publisher><subject>Analysis ; Barium ; Case studies ; Computational physics ; Disinfection ; Drinking water ; Environmental testing ; Flow rates ; Fluid dynamics ; Hydrodynamics ; Purification ; Tracers (Chemistry) ; Water ; Water treatment ; Water treatment plants</subject><ispartof>Journal of environmental engineering and science, 2006-11, Vol.5 (6), p.529-536</ispartof><rights>COPYRIGHT 2006 NRC Research Press</rights><rights>Copyright National Research Council of Canada Nov 2006</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c484t-9f710c221bade3dd28f12ac79ce54fbf8db065a11f21dd0fb5a1605bbc45d5383</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,27911,27912</link.rule.ids></links><search><creatorcontrib>Templeton, M R</creatorcontrib><creatorcontrib>Hofmann, R</creatorcontrib><creatorcontrib>Andrews, R C</creatorcontrib><title>Case study comparisons of computational fluid dynamics (CFD) modeling versus tracer testing for determining clearwell residence times in drinking water treatment</title><title>Journal of environmental engineering and science</title><addtitle>Revue du génie et de la science de l'environnement</addtitle><description>Computational fluid dynamics (CFD) modeling and full-scale tracer tests (using barium or fluoride) were used to determine the baffle factors of clearwells at three Canadian water treatment facilities (two in Ottawa, Ontario, and one in Peterborough, Ontario). A variety of clearwell baffling configurations and a range of flow rates (35 to 257 MLD) were considered. Two-dimensional CFD modeling (no depth dimension) was conducted using commercially available software (Fluent 6.0
®
). Virtual particle tracking allowed simulation of the residence time distribution for each clearwell configuration and flow rate condition. The baffle factors (t
10
/θ) derived from the CFD modeling closely matched the values obtained from full-scale tracer testing (<10% difference in most cases). The results of the study suggest that CFD modeling can be a reliable alternative to tracer testing for determining clearwell residence times and can thereby provide improved estimates of chemical disinfection performance and disinfection by-product formation. Key words: computational fluid dynamics, tracer, clearwell, baffle factor, barium, fluoride, disinfection, drinking water.</description><subject>Analysis</subject><subject>Barium</subject><subject>Case studies</subject><subject>Computational physics</subject><subject>Disinfection</subject><subject>Drinking water</subject><subject>Environmental testing</subject><subject>Flow rates</subject><subject>Fluid dynamics</subject><subject>Hydrodynamics</subject><subject>Purification</subject><subject>Tracers (Chemistry)</subject><subject>Water</subject><subject>Water treatment</subject><subject>Water treatment plants</subject><issn>1496-256X</issn><issn>1496-2551</issn><issn>1496-256X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFktFuFSEQhjdGE2s1vgLxolqTrcAuy-5lc2zVpIk3mnhHWBiOVBa2wLY5j-ObynqaWE3VcMHM5OPPMP9U1XOCTwhphjcJdzXG_EF1QNqhqynrvjy8Ez-unqR0iTFhnPQH1feNTIBSXvQOqTDNMtoUfELB_EyXLLMNXjpk3GI10jsvJ6sSerU5f3uMpqDBWb9F1xDTklCOUkFEGVJeqyZEpCFDnKxfc-VAxhtwDkVIVoNXgLKdICHrkY7Wf1upG5lXjQgyT-Dz0-qRkS7Bs9v7sPp8fvZp876--Pjuw-b0olZt3-Z6MJxgRSkZpYZGa9obQqXigwLWmtH0esQdk4QYSrTGZixxh9k4qpZp1vTNYXW0151juFrKD8RkkyrNSg9hSYIOnPMG_x8kQzPQAdMCvvgDvAxLLMMsYg2nBHO-QvUe2koHwnoT1iFuwUOULngwtpRPCWMt7xrGf4n-xqvZXom70Mk9UDkainv3qr7cP1AxpBTBiDnaScadIFisayXKWomyVoV8vSd9VMXFYqj6-g_46O_wLSRmbZofKrDdTw</recordid><startdate>20061101</startdate><enddate>20061101</enddate><creator>Templeton, M R</creator><creator>Hofmann, R</creator><creator>Andrews, R C</creator><general>NRC Research Press</general><general>ICE Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7XB</scope><scope>88I</scope><scope>8AO</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FQ</scope><scope>8FV</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M2O</scope><scope>M2P</scope><scope>M3G</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PADUT</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7QH</scope><scope>7TV</scope><scope>7UA</scope><scope>C1K</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20061101</creationdate><title>Case study comparisons of computational fluid dynamics (CFD) modeling versus tracer testing for determining clearwell residence times in drinking water treatment</title><author>Templeton, M R ; Hofmann, R ; Andrews, R C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c484t-9f710c221bade3dd28f12ac79ce54fbf8db065a11f21dd0fb5a1605bbc45d5383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Analysis</topic><topic>Barium</topic><topic>Case studies</topic><topic>Computational physics</topic><topic>Disinfection</topic><topic>Drinking water</topic><topic>Environmental testing</topic><topic>Flow rates</topic><topic>Fluid dynamics</topic><topic>Hydrodynamics</topic><topic>Purification</topic><topic>Tracers (Chemistry)</topic><topic>Water</topic><topic>Water treatment</topic><topic>Water treatment plants</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Templeton, M R</creatorcontrib><creatorcontrib>Hofmann, R</creatorcontrib><creatorcontrib>Andrews, R C</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Canadian Business & Current Affairs Database</collection><collection>Canadian Business & Current Affairs Database (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Research Library</collection><collection>Science Database</collection><collection>CBCA Reference & Current Events</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Research Library China</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Aqualine</collection><collection>Pollution Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Journal of environmental engineering and science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Templeton, M R</au><au>Hofmann, R</au><au>Andrews, R C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Case study comparisons of computational fluid dynamics (CFD) modeling versus tracer testing for determining clearwell residence times in drinking water treatment</atitle><jtitle>Journal of environmental engineering and science</jtitle><addtitle>Revue du génie et de la science de l'environnement</addtitle><date>2006-11-01</date><risdate>2006</risdate><volume>5</volume><issue>6</issue><spage>529</spage><epage>536</epage><pages>529-536</pages><issn>1496-256X</issn><issn>1496-2551</issn><eissn>1496-256X</eissn><abstract>Computational fluid dynamics (CFD) modeling and full-scale tracer tests (using barium or fluoride) were used to determine the baffle factors of clearwells at three Canadian water treatment facilities (two in Ottawa, Ontario, and one in Peterborough, Ontario). A variety of clearwell baffling configurations and a range of flow rates (35 to 257 MLD) were considered. Two-dimensional CFD modeling (no depth dimension) was conducted using commercially available software (Fluent 6.0
®
). Virtual particle tracking allowed simulation of the residence time distribution for each clearwell configuration and flow rate condition. The baffle factors (t
10
/θ) derived from the CFD modeling closely matched the values obtained from full-scale tracer testing (<10% difference in most cases). The results of the study suggest that CFD modeling can be a reliable alternative to tracer testing for determining clearwell residence times and can thereby provide improved estimates of chemical disinfection performance and disinfection by-product formation. Key words: computational fluid dynamics, tracer, clearwell, baffle factor, barium, fluoride, disinfection, drinking water.</abstract><cop>Ottawa, Canada</cop><pub>NRC Research Press</pub><doi>10.1139/s06-007</doi><tpages>8</tpages></addata></record> |
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| subjects | Analysis Barium Case studies Computational physics Disinfection Drinking water Environmental testing Flow rates Fluid dynamics Hydrodynamics Purification Tracers (Chemistry) Water Water treatment Water treatment plants |
| title | Case study comparisons of computational fluid dynamics (CFD) modeling versus tracer testing for determining clearwell residence times in drinking water treatment |
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