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Impact of material emissions and sorption of volatile organic compounds on indoor air quality in a low energy building: Field measurements and modeling

机译:低能耗建筑中材料排放和挥发性​​有机化合物的吸附对室内空气质量的影响:现场测量和建模

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摘要

The assessment of VOC emission rates and sorption coefficients was performed forten surfaces present within a classroom, using field and laboratory emission cells(FLEC) coupled to online and off-line VOC quantification techniques. A total of 21identified VOCs were emitted by the different surfaces. VOC emission rates measuredusing PTR-ToF- MS were compared to gas chromatographic measurements. Theresults showed that the two methods are complementary to one another. Sorptionparameters were also successfully measured for a mixture of 14 VOCs within a fewhours (<17 hours per surface). A study of the spatial and temporal variability of themeasured parameters was also carried out on the two surfaces that presented themost potential for interaction with VOCs, accounting for the largest surface areaswithin the room. The dataset of emission rates and sorption parameters was used inthe INCA-Indoor model to predict indoor air concentrations of VOCs that are comparedto experimental values measured in the room. Modeling results showed thatsorption processes had a limited effect on indoor concentrations of VOCs for thesefield campaigns. Modeled daily profiles show good agreement with the experimentalobservations for VOCs such as toluene (indoor source) and xylenes (outdoor source)but underestimate concentrations of methanol (both indoor and outdoor sources).
机译:使用与在线和离线VOC量化技术相结合的现场和实验室发射池 r n(FLEC)对教室中存在的表面进行了VOC排放速率和吸附系数的评估。不同表面总共发出了21种rVOC。使用PTR-ToF-MS测量的VOC排放速率与气相色谱测量结果进行了比较。结果表明这两种方法是相辅相成的。还可以在数小时内(每个表面<17小时)成功测量14种VOC混合物的吸附参数。还对呈现出与VOC相互作用的最大潜力的两个表面进行了测量参数的时空变化研究,这说明了房间内最大的表面积。在INCA-室内模型中使用了排放速率和吸附参数的数据集,以预测室内空气中VOC的浓度,并将其与在室内测得的实验值进行比较。模拟结果表明,对于这些野外活动,吸收过程对室内VOC浓度的影响有限。建模的日剖面显示与VOCs的实验性 r nob观测值吻合良好,例如甲苯(室内源)和二甲苯(室外源) r n,但是低估了甲醇的浓度(室内和室外源)。

著录项

  • 来源
    《Indoor Air》 |2018年第06期|924-935|共12页
  • 作者单位

    Laboratoire de Physico-chimie des Processus de Combustion et de l’Atmosphere, Universite de Lille 1 & CNRS, Villeneuve d’Ascq, France IMT Lille Douai, SAGE - Departement Science de l’Atmosphere et Genie de l’Environnement, University of Lille, Lille, France;

    Laboratoire Image, Ville, Environnement (LIVE), UMR 7362, Universite de Strasbourg/ CNRS, Strasbourg, France;

    IMT Lille Douai, SAGE - Departement Science de l’Atmosphere et Genie de l’Environnement, University of Lille, Lille, France;

    Laboratoire de Physico-chimie des Processus de Combustion et de l’Atmosphere, Universite de Lille 1 & CNRS, Villeneuve d’Ascq, France;

    IMT Lille Douai, SAGE - Departement Science de l’Atmosphere et Genie de l’Environnement, University of Lille, Lille, France;

    Laboratoire Image, Ville, Environnement (LIVE), UMR 7362, Universite de Strasbourg/ CNRS, Strasbourg, France;

    IMT Lille Douai, SAGE - Departement Science de l’Atmosphere et Genie de l’Environnement, University of Lille, Lille, France;

    Laboratoire de Physico-chimie des Processus de Combustion et de l’Atmosphere, Universite de Lille 1 & CNRS, Villeneuve d’Ascq, France;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    emission rates; field and laboratory emission cell; field campaign; indoor air quality modeling; sorption parameters; volatile organic compounds;

    机译:排放率;现场和实验室发射室;野战室内空气质量建模;吸附参数挥发性有机化合物;
  • 入库时间 2022-08-18 03:58:25

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