Jamriska M, Morawska L, Ensor D S
Centre for Medical and Health Physics, Queensland University of Technology, Brisbane, Australia.
Indoor Air. 2003 Jun;13(2):96-105. doi: 10.1034/j.1600-0668.2003.00184.x.
The effects of air filtration and ventilation on indoor particles were investigated using a single-zone mathematical model. Particle concentration indoors was predicted for several I/O conditions representing scenarios likely to occur in naturally and mechanically ventilated buildings. The effects were studied for static and dynamic conditions in a hypothetical office building. The input parameters were based on real-world data. For conditions with high particle concentrations outdoors, it is recommended to reduce the amount of outdoor air delivered indoors and the necessary reduction level can be quantified by the model simulation. Consideration should also be given to the thermal comfort and minimum outdoor air required for occupants. For conditions dominated by an indoor source, it is recommended to increase the amount of outdoor air delivered indoors and to reduce the amount of return air. Air filtration and ventilation reduce particle concentrations indoors, with the overall effect depending on efficiency, location and the number of filters applied. The assessment of indoor air quality for specific conditions could be easily calculated by the model using user-defined input parameters.
使用单区数学模型研究了空气过滤和通风对室内颗粒物的影响。针对几种代表自然通风和机械通风建筑中可能出现场景的进/出风条件,预测了室内颗粒物浓度。在一个假设的办公楼中,研究了静态和动态条件下的影响。输入参数基于实际数据。对于室外颗粒物浓度较高的情况,建议减少送入室内的室外空气量,且所需的减少水平可通过模型模拟进行量化。还应考虑热舒适性和 occupants 所需的最小室外空气量。对于以室内源为主导的情况,建议增加送入室内的室外空气量并减少回风。空气过滤和通风可降低室内颗粒物浓度,总体效果取决于效率、位置和所应用过滤器的数量。通过该模型使用用户定义的输入参数,可以轻松计算特定条件下的室内空气质量评估。