...
首页> 外文期刊>Building and Environment >Improvement of the performance of a simple box model using CFD modeling to predict indoor air formaldehyde concentration
【24h】

Improvement of the performance of a simple box model using CFD modeling to predict indoor air formaldehyde concentration

机译:使用CFD建模来预测室内空气甲醛浓度的简单盒子模型的性能改进

获取原文
获取原文并翻译 | 示例
           

摘要

The purpose of this study is to improve the predictive potential of a simple box model by using CFD simulation. In this easy-use box model, the material/air mass transfer is governed by a convective coefficient of pollutant through the boundary layer settling on the surface of material (h(ot)) which is a key parameter for the prediction of indoor air pollution. The aim of this study is to better assess this parameter as function of several variables (material surface emissions, room configurations and ventilation conditions) by means of CFD simulations. First, dimensional analysis method is applied to CFD results to establish a new relationship between physical parameters involved in the transfer of compounds in air, particularly room characteristic length, mean air velocity in inlet section area and molecular diffusion of formaldehyde in air. Thus, the validity of this relation Is tested by CFD modeling for large range of room sizes, mean air velocities and inlet section locations. Lastly, results of a first measurement campaign show the improvement of the prediction of the box model compared to the previous version including this new relation by a better assessment of indoor material contributions to indoor air formaldehyde concentration. (C) 2017 Elsevier Ltd. All rights reserved.
机译:这项研究的目的是通过使用CFD仿真来提高简单盒模型的预测潜力。在这种易于使用的箱型模型中,物料/空气的质量传递受污染物对流系数的控制,污染物的对流系数通过沉降在物料表面的边界层(h(ot))决定,该边界层是预测室内空气污染的关键参数。这项研究的目的是通过CFD模拟更好地评估该参数作为多个变量(材料表面排放,房间配置和通风条件)的函数的能力。首先,将尺寸分析方法应用于CFD结果,以建立与空气中化合物转移相关的物理参数之间的新关系,特别是房间特征长度,入口截面区域的平均风速和甲醛在空气中的分子扩散。因此,此关系的有效性通过CFD建模针对大范围的房间大小,平均风速和进气口位置进行了测试。最后,第一次测量活动的结果表明,通过更好地评估室内材料对室内空气甲醛浓度的贡献,与以前的版本(包括此新关系)相比,箱型模型的预测有所改进。 (C)2017 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号