Comparison of Contaminant Dispersion Modeling Approaches for Swine Housing
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Since 1905, the Department of Agricultural Engineering, now the Department of Agricultural and Biosystems Engineering (ABE), has been a leader in providing engineering solutions to agricultural problems in the United States and the world. The department’s original mission was to mechanize agriculture. That mission has evolved to encompass a global view of the entire food production system–the wise management of natural resources in the production, processing, storage, handling, and use of food fiber and other biological products.
History
In 1905 Agricultural Engineering was recognized as a subdivision of the Department of Agronomy, and in 1907 it was recognized as a unique department. It was renamed the Department of Agricultural and Biosystems Engineering in 1990. The department merged with the Department of Industrial Education and Technology in 2004.
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1905–present
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- Department of Agricultural Engineering (1907–1990)
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- College of Agriculture and Life Sciences (parent college)
- College of Engineering (parent college)
- Department of Industrial Education and Technology, (merged, 2004)
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Abstract
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.
Comments
This article is from Transactions of the ASAE 39, no. 3 (1996): 1151–1157.