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Measurement and modeling of spatial distribution of particulate matter in indoor environments.

机译:室内环境中颗粒物空间分布的测量和建模。

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摘要

A clear understanding of the particulate matter spatial distribution will provide useful information for improvement of ventilation system design and control strategies. In this study, a multi-point sampler was developed using critical venturi airflow devices to measure the dust mass spatial distributions in a typical swine building under production conditions and in a full-scale mechanically ventilated laboratory room under controlled conditions. The multi-point sampler is capable of sampling airborne contaminants at multiple points at the same time, and has been proven to be very accurate and reliable. Key results in this study are summarized in the following:;First, it was shown that the particle mass spatial concentrations vary widely within a mechanically ventilated airspace. Ventilation rate had a large effect on the particle spatial distribution. Increasing the ventilation rate reduced the overall mean particle concentration with the same ventilation system. At the same ventilation rate, the ventilation effectiveness varied widely with different ventilation systems.;Second, it was verified that the air outlet location had a substantial effect on the dust spatial distribution and the overall dust mass concentration. Comparison of ventilation effectiveness between two different ventilation systems showed that ventilation system design was critical to the dust control in a mechanically ventilated airspace. It was observed that there was a high dust concentration zone near the inlet side in a ventilated room with the air inlet in one sidewall and the air outlet in the opposite sidewall. Positioning the air outlet at the dustiest location can substantially improve dust removal effectiveness.;Third, it was shown that dust source control such as oil sprinkling at regular frequencies was an effective measure to control the dust levels. Room air cleaning such as dedusters can reduce the dust concentration and change dust spatial distribution.;Fourth, a 2-D mathematical model was developed based on the mass balance of particulate matter. The numerical simulation indicated that the particle spatial distribution was highly related to the airflow pattern, particle source strength and gravitational sedimentation of particles. The numerical simulations enhanced the understanding of the mechanisms of particle transport within a ventilated airspace.
机译:对颗粒物空间分布的清晰了解将为改善通风系统设计和控制策略提供有用的信息。在这项研究中,使用临界文丘里管气流设备开发了一种多点采样器,以在生产条件下测量典型猪舍中的粉尘质量空间分布,并在受控条件下在大型机械通风的实验室中测量粉尘质量空间分布。多点采样器能够同时在多个点采样空气中的污染物,并且已经被证明是非常准确和可靠的。这项研究的主要结果总结如下:首先,表明在机械通风的空气空间内,粒子质量空间浓度变化很大。通风速率对颗粒的空间分布影响很大。在相同的通风系统下,提高通风速率会降低总体平均颗粒浓度。在相同的通风速率下,不同的通风系统通风效率差异很大。其次,验证了出风口位置对粉尘空间分布和总体粉尘质量浓度有很大影响。两种不同通风系统之间通风效率的比较表明,通风系统设计对于机械通风空间中的粉尘控制至关重要。观察到,在通风室中,在进风口附近有一个高灰尘浓度区,进风口在一个侧壁上,出风口在相对的侧壁上。将出风口放置在最尘土飞扬的地方可以大大提高除尘效率。第三,表明尘源控制(例如定期喷油)是控制粉尘水平的有效措施。室内空气净化,如除尘器,可降低粉尘浓度并改变粉尘空间分布。第四,基于颗粒物的质量平衡,建立了二维数学模型。数值模拟表明,颗粒的空间分布与气流形态,颗粒源强度和颗粒的重力沉降高度相关。数值模拟增强了对通风空间内颗粒传输机制的理解。

著录项

  • 作者

    Wang, Xinlei.;

  • 作者单位

    University of Illinois at Urbana-Champaign.;

  • 授予单位 University of Illinois at Urbana-Champaign.;
  • 学科 Engineering Agricultural.;Engineering Environmental.
  • 学位 Ph.D.
  • 年度 2000
  • 页码 168 p.
  • 总页数 168
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农业工程;环境污染及其防治;
  • 关键词

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