Indoor Air Quality and Overheating in UK Classrooms – an Archetype Stock Modelling Approach

Indoor Air Quality and Overheating in UK Classrooms – an Archetype Stock Modelling Approach
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英国教室的室内空气质量和过热——原型股票建模方法

DOI:
10.1088/1742-6596/2069/1/012175
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发表时间:
2021
期刊:
Journal of Physics: Conference Series
影响因子:
--
通讯作者:
D. Mumovic
D. Mumovic
中科院分区:
--
文献类型:
--
作者:
Y. Schwartz;I. Korolija;P. Symonds;D. Godoy;J. Dong;S. Hong;A. Mavrogianni;D. Grassie;D. Mumovic

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孩子们醒着生活的很大一部分时间是在学校大楼里度过的。有大量证据表明,糟糕的室内空气质量(IAQ)和热不适可能对学童和工作人员的表现、福祉和健康产生有害影响。由于学校独特的居住模式和热特性,在避免教室过热的同时保持良好的室内空气质量是具有挑战性的。近年来,建筑蓄积物模型被广泛用于量化和评估各种尺度上的大量建筑的性能。本文通过对财产数据调查计划(PDSP)和显示能源证书(DEC)数据库的分析,建立了一个代表英格兰学校股票多样性的原型股票建模方法。该模型被用来模拟室内到室外的污染比率,以估计英国两个气候地区的室内空气污染水平(NO2、PM2.5和CO2)和热舒适性(过热):伦敦和西宾宁。分析强调了教室室内二氧化碳水平在不同季节的变化,并探索了与教室朝向有关的过热风险。
Children spend a large part of their waking lives in school buildings. There is substantial evidence that poor indoor air quality (IAQ) and thermal discomfort can have detrimental impacts on the performance, wellbeing and health of schoolchildren and staff. Maintaining good IAQ while avoiding overheating in classrooms is challenging due to the unique occupancy patterns and heat properties of schools. Building stock modelling has been extensively used in recent years to quantify and evaluate performance of large numbers of buildings at various scales. This paper builds on an archetype stock modelling approach which represents the diversity of the school stock in England through an analysis of The Property Data Survey Programme (PDSP) and the Display Energy Certificates (DEC) databases. The model was used for simulating Indoor-to-Outdoor pollution ratios to estimate indoor air pollution levels (NO2, PM2.5 and CO2) and thermal comfort (overheating) in two climate areas in England: London and the West Pennines. analysis highlighted variations in classrooms’ indoor CO2 levels in different seasons and explored the risk of overheating in relation to a classroom’s orientation.
DOI: 10.1111/j.1600-0668.2011.00742.x
发表时间: 2012-02
期刊: Indoor air
影响因子: 5.8
作者:
Fabian P;Adamkiewicz G;Levy JI
通讯作者: Levy JI