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A holistic approach for the assessment of the indoor environmental quality, student productivity, and energy consumption in primary schools

机译:评估室内环境质量,学生生产力和能源消耗的整体方法

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The perception of the indoor environmental quality (IEQ) through questionnaires in conjunction with in-field measurements related to the indoor air quality (IAQ), the thermal comfort and the lighting environment were studied in nine naturally ventilated schools of Athens, Greece. Cluster analysis was carried out in order to determine the ranges of indoor air pollutants, temperature (T), relative humidity (RH), and ventilation rates at which the students were satisfied with the indoor environment. It was found that increased levels of particulate matter did not have a negative effect on students' perception while students seemed to link the degradation of IAQ with temperature variations. Statistically significant correlations were further found between measurement results and students' perception of the IEQ. Students' sick building syndrome (SBS) symptoms and performance of schoolwork were also investigated as a function of the levels of indoor air pollutants and ventilation, and there were found significant positive correlations between particulate matter (PM) and certain health symptoms. Students' learning performance seemed to be affected by the ventilation rates and carbon dioxide (CO2) concentrations while certain health effects positively correlated to the levels of PM and CO2. The energy consumption of schools was rather low compared to other national findings, and both the electricity and oil consumption for heating positively correlated to the levels of indoor air pollutants.
机译:通过问卷调查以及与室内空气质量(IAQ),热舒适度和照明环境有关的现场测量,对问卷中的室内环境质量(IEQ)进行了感知,这是在希腊雅典的9所自然通风学校中进行的。进行聚类分析以确定学生对室内环境满意的室内空气污染物的范围,温度(T),相对湿度(RH)和通风率。研究发现,颗粒物含量的增加不会对学生的知觉产生负面影响,而学生似乎将室内空气质素下降与温度变化联系起来。在测量结果和学生对IEQ的认知之间还发现了统计学上的显着相关性。还研究了学生的病态建筑综合症(SBS)症状和学业表现,作为室内空气污染物和通风水平的函数,并且发现颗粒物(PM)与某些健康症状之间存在显着的正相关。学生的学习表现似乎受通风量和二氧化碳(CO2)浓度的影响,而某些健康影响与PM和CO2的含量呈正相关。与其他国家的调查结果相比,学校的能源消耗相当低,供暖的电力和石油消耗与室内空气污染物的含量呈正相关。

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