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不同通风系统下病房中污染物排放的效果研究

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随着传染性疾病的频发,医疗场所的室内空气质量问题备受关注.现有研究表明,通风系统对室内污染物的去除和减少交叉感染风险至关重要.然而,关于置换通风系统在医疗场景中的具体效果尚未完全明确.通过CFD模拟的方法研究了置换通风系统的室内环境特性.研究了不同换气次数、通风方式、辐射墙壁位置情况下,污染物的去除情况.同时,还提出了医护人员吸入指数(IF)的概念,用来评价局部地区医护人员的暴露风险.模拟结果表明,置换通风系统污染物去除指数在0.65~2.0之间,IF值主要在0~12之间,根据研究发现随着换气次数的增加,IF值随之减小,用IF值评估局部地区污染物浓度感染风险更加合适.置换通风系统虽然有较高的换气效率和污染物去除效率,但不能有效避免医护人员与病患之间交叉感染,因此置换通风系统在预防交叉感染方面并没有显著优势.
Research on the Effects of Different Ventilation Systems on Pollutant Emission in Wards
With the frequent occurrence of infectious diseases,the issue of indoor air quality in healthcare settings attracted considerable attention. Existing research indicated that ventilation systems were critical for removing indoor pollutants and reducing the risk of cross-infection. However,the specific effects of displacement ventilation systems in medical settings had not been fully clarified. This study investigated the indoor environmental characteristics of displacement ventilation systems using CFD simulations. The study explored pollutant removal under different air change rates,ventilation modes,and positions of radiant walls. Additionally,the concept of the Inhalation Factor (IF) for healthcare workers was introduced to evaluate their exposure risk in local areas. Simulation results showed that the pollutant removal index of the displacement ventilation system ranged from 0.65 to 2.0,while the IF values ranged mainly from 0 to 12. The study found that as the air change rate increased,the IF value decreased,making IF a more suitable indicator for assessing the infection risk due to pollutant concentrations in local areas. Although the displacement ventilation system demonstrated high air change efficiency and pollutant removal efficiency,it could not effectively prevent cross-infection between healthcare workers and patients. Therefore,displacement ventilation systems did not show a significant advantage in preventing cross-infection.

Displacement ventilationCFDIntake fraction indexPollutant removal index

黄兵

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右江民族医学院附属医院 百色 533000

置换通风系统 CFD 污染物去除指数 污染物吸入指数

2024

制冷与空调(四川)
四川省制冷学会 西南交通大学

制冷与空调(四川)

CSTPCD
影响因子:0.475
ISSN:1671-6612
年,卷(期):2024.38(6)