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Identification of key factors for dust generation in a nursery pig house and evaluation of dust reduction efficiency using a CFD technique

机译:确定育肥猪舍产生粉尘的关键因素,并使用CFD技术评估除尘效率

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摘要

An evaluation of airborne dust in nursery pig houses is needed because the air quality within the buildings can deteriorate, compromising the respiratory health of both pigs and farmers. Creating acceptable aero-environmental conditions inside a livestock house requires an understanding of the mechanisms of dust generation, which involves a complicated combination of variables. A long-term, intensive dust monitoring study was carried out in a mechanically ventilated nursery pig house to determine the key factors affecting dust generation in different size fractions. The ventilation rate, indoor and outdoor air temperature, number and age of animals, and relative pig activity level were used as independent variables in multiple regression analyses. From our observations and statistical analyses, ventilation was the most influential factor of total suspended particulates and PM10. Vigorous activity among the animals, number of animals, and ventilation were significant factors in the generation of inhalable dust, and ventilation, indoor air temperature, and animal activity were significant factors in the generation of respirable dust. The statistical models identified adjusting the ventilation rate and improving the systematic characteristics of ventilation as effective components of a dust reduction strategy in terms of productivity and economic feasibility. Computational fluid dynamics was used to evaluate the dust reduction efficiency of pipe-exhaust systems during feed supply. According to the simulations, the application of a pipe-exhaust system would improve the indoor air quality of the experimental pig nursery house. (C) 2016 IAgrE. Published by Elsevier Ltd. All rights reserved.
机译:由于建筑物内的空气质量可能恶化,从而损害了猪和农户的呼吸系统健康,因此需要对保育猪场中的空气传播灰尘进行评估。在牲畜舍内创造可接受的空气环境条件需要了解灰尘产生的机理,这涉及到变量的复杂组合。在机械通风的保育猪场中进行了长期,深入的粉尘监测研究,以确定影响不同尺寸分数产生粉尘的关键因素。在多重回归分析中,通风率,室内和室外空气温度,动物的数量和年龄以及相对猪的活动水平被用作自变量。根据我们的观察和统计分析,通风是总悬浮颗粒物和PM10的最大影响因素。动物之间的剧烈活动,动物数量和通风是可吸入粉尘产生的重要因素,而通风,室内空气温度和动物活动是可吸入粉尘产生的重要因素。统计模型确定了从生产率和经济可行性角度来看,调整通风速率和改善通风的系统特性是减尘策略的有效组成部分。使用计算流体动力学来评估进料期间管道排气系统的降尘效率。根据模拟,管道排气系统的应用将改善实验猪保育室的室内空气质量。 (C)2016年。由Elsevier Ltd.出版。保留所有权利。

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