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Impact of the occupancy scenario on the hygrothermal performance of a room

机译:入住情况对房间湿热性能的影响

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Nowadays, humidity in buildings has become a major concern because it affects their energy performance, the occupants' comfort and health, and the durability of materials simultaneously. To understand the behavior of buildings towards humidity, numerical models are needed. However, the sensitivity of these models to the indoor sources, especially the ones related to the occupants' presence and activities, has not been thoroughly assessed in the literature. This article proposes to introduce a methodology to investigate the impact of the occupancy profiles of presence on the hygrothermal performance of a room. A hygrothermal model at room scale is developed and coupled with a platform called No-MASS, which provides stochastic occupancy scenarios for office buildings. Four occupancy scenarios representative of the scenarios commonly found in the literature are studied: a stochastic scenario, an average scenario derived from multiple stochastic ones, a constant scenario, and the French regulatory scenario. Comparing the results obtained with the different occupancy scenarios underlined a non-negligible impact of the scenario on indoor heat and moisture balance, mainly due to the consideration of a seasonal effect for the stochastic one.
机译:如今,建筑物中的湿度已成为主要问题,因为它会同时影响建筑物的能源性能,居住者的舒适和健康以及材料的耐用性。为了了解建筑物对湿度的行为,需要数值模型。但是,这些模型对室内源的敏感性,特别是与居住者的存在和活动有关的模型的敏感性,尚未在文献中得到全面评估。本文建议介绍一种方法来研究存在的占用情况对房间的湿热性能的影响。开发了一个室温下的湿热模型,并与一个名为No-MASS的平台相结合,该平台提供了办公楼的随机占用情况。研究了代表文献中常见情景的四种占用情景:随机情景,从多个随机情景中得出的平均情景,恒定情景以及法国监管情景。比较不同使用情况下获得的结果,强调了这种情况对室内热量和水分平衡的不可忽略的影响,这主要是由于考虑了随机因素对季节的影响。

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