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Optimal Placement and Size of the Baffles to Direct Airflow in Mechanically Ventilated Dairy Housing

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  10th International Livestock Environment Symposium (ILES X)  .(doi:10.13031/iles.18-058)
Authors:   Bo Zhou, Xiaoshuai Wang, Mario R Mondaca, Christopher Y Choi
Keywords:   baffle; computational fluid dynamics; dairy barn; mechanically-ventilated; porous medium.

Abstract.

Computational modeling technology has significantly improved the efficiency and accuracy of agricultural engineering research, including its specific application to improve animal production facilities. Computational Fluid Dynamics (CFD) simulations has improved rapidly due to enhanced computing capacity, optimized computational methods, and more reliable method for validating the outcomes. CFD simulation can now bring down the associated design costs because such models can, by conducting a systematic parametric analysis, provide visible results that enable engineers to evaluate a proposed system before it is installed. The present study aims to resolve one of the most common issues related to designing mechanical ventilation systems for cross-ventilated dairy barns: the optimal placement of the baffles used to direct airflow to the animal occupied zone (AOZ) and enhance the effective air speed through the AOZ. Due to the freestall layout, the support posts for baffles are readily available in-between head-to-head freestalls (the area in which the cows recline facing each other in pairs) making this location the most common area for baffles to be installed. Availability of supporting structures has typically guided efforts to install baffles at appropriate locations. However, achieving an efficient installation can be especially difficult if the designer relies on a trial-and-error approach based solely on design experience, experimental measurements, or installation practices. The present work will use CFD to conduct coordinated computational studies that should provide a more reliable platform upon which to base future designs for large-scale dairy housing. Eventually, more effective heat transfer and operational benefits can be achieved.

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