Comparison of Contaminant Dispersion Modeling Approaches for Swine Housing Hoff, Steven Bundy, Dwaine Hoff, Steven
dc.contributor.department Agricultural and Biosystems Engineering 2018-02-13T10:13:09.000 2020-06-29T22:39:09Z 2020-06-29T22:39:09Z Mon Jan 01 00:00:00 UTC 1996 2013-04-30 1996
dc.description.abstract <p>Two unique models, the Lam-Bremhorst low Reynolds number turbulence model (LBLR) and a multiple airflow regions model (MARM), were compared in describing the distribution of carbon dioxide (CO2) in a simulated swine grower pen used in a previous experimental study (Brannigan and McQuitty, 1971). The results from this comparative study indicate that the LBLR model’s ability to predict airflow patterns greatly enhanced prediction of carbon dioxide distribution. The MARM and LBLR models predicted normalized CO2 levels within 4% of each other in airflow regions composed mainly of the ventilating airjet (the primary zone), but were in disagreement by as much as 48% in regions furthest removed from the airjet. In a region defined as the general building air zone, differences in predicted normalized CO2 between models ranged from 0 to 50%. The MARM model requires a prescribed airflow pattern and a detailed knowledge of entrainment ratios that reduced the predictive ability of overall contaminant dispersion.</p>
dc.description.comments <p>This article is from <em>Transactions of the ASAE </em>39, no. 3 (1996): <a href="" target="_blank">1151–1157</a>.</p>
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dc.identifier archive/
dc.identifier.articleid 1630
dc.identifier.contextkey 4089597
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/355
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 23:45:12 UTC 2022
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.keywords Turbulence
dc.subject.keywords Dispersion
dc.subject.keywords Modeling
dc.subject.keywords Air quality
dc.title Comparison of Contaminant Dispersion Modeling Approaches for Swine Housing
dc.type article
dc.type.genre article
dspace.entity.type Publication
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relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
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