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Temporal Variations in Estimated Ventilation and Relative Performance based on Continuous CO_2 Monitoring in Offices

机译:基于办公室中连续CO_2监测的估计通风量和相对性能的时间变化

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摘要

Indoor temperature, relative humidity, particulate matter, volatile organic compounds, and carbon dioxide (CO_2) concentrations were monitored continuously in the breathing zone of some 150 Finnish office buildings (average five rooms per building). For this study focusing on ventilation, we selected those 35 buildings that had data from at least six months in both 2016 and 2017. Daily outdoor air ventilation rates in each room were estimated based on the steady state / peak CO_2 approach for each day when the difference between maximum and minimum CO, concentration was > 100 ppm. In addition, we modelled relative work performance based on the daily ventilation rates. On the building level, estimated mean ventilation rates (SD) ranged from 18.4 (20.3) to 65.8 (21.6) l/ sperson. Temporal variations were seen by year, month and weekday, which could be partially explained by occupancy patterns and outdoor temperatures. Estimated work performance was high as compared to 6.5 l/ s'person, which exceeds the minimum required ventilation rate in Finland. Thus, improving performance by increasing ventilation rates would be limited in this sample. Building owners/ operators can access the monitoring results, including CO, concentrations, almost real-time using a web-based platform, which provides them an opportunity to use these data to improve environments cost-effectively. Platforms processing raw data into estimates and, moreover, suggestions or action plans, could be beneficial.
机译:在约150座芬兰办公楼的呼吸区域(每栋建筑物平均有五个房间)连续监测室内温度,相对湿度,颗粒物,挥发性有机化合物和二氧化碳(CO_2)浓度。在这项针对通风的研究中,我们选择了2016年和2017年至少有六个月数据的35座建筑物。每个房间的每日室外空气通风率是根据每天的稳态/峰值CO_2方法估算的。最大和最小CO浓度之差> 100 ppm。此外,我们根据每日通风量对相对工作绩效进行建模。在建筑物一级,估计的平均通风率(SD)为每人每人18.4(20.3)至65.8(21.6)l。每年,每月和工作日均会出现时间变化,这可以部分归因于居住模式和室外温度。与6.5升/秒的人相比,估计的工作表现很高,超过了芬兰的最低要求通风率。因此,在该样本中将限制通过提高通风率来提高性能。建筑物所有者/运营商可以使用基于Web的平台几乎实时地获取包括CO浓度在内的监测结果,这为他们提供了使用这些数据以经济有效地改善环境的机会。将原始数据处理成估算值以及提出建议或行动计划的平台可能会有所帮助。

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