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Ventilation Performance Prediction For Buildings: A Method Overview And Recent Applications

机译:建筑物的通风性能预测:方法概述和最新应用

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This paper presented an overview of the tools used to predict ventilation performance in buildings. The tools reviewed were analytical models, empirical models, small-scale experimental models, full-scale experimental models, multizone network models, zonal models, and Computational Fluid Dynamics (CFD) models. This review found that the analytical and empirical models had made minimal contributions to the research literature in the past year. The small- and full-scale experimental models were mainly used to generate data to validate numerical models. The multizone models were improving, and they were the main tool for predicting ventilation performance in an entire building. The zonal models had limited applications and could be replaced by the coarse-grid fluid dynamics models. The CFD models were most popular and contributed to 70 percent of the literature found in this review. Considerable efforts were still made to seek more reliable and accurate models. It has been a trend to improve their performance by coupling CFD with other building simulation models. The applications of CFD models were mainly for studying indoor air quality, natural ventilation, and stratified ventilation as they were difficult to be predicted by other models.
机译:本文概述了用于预测建筑物通风性能的工具。审查的工具包括分析模型,经验模型,小规模实验模型,全面实验模型,多区域网络模型,区域模型和计算流体动力学(CFD)模型。这项审查发现,在过去的一年中,分析和经验模型对研究文献的贡献很小。小型和大型实验模型主要用于生成数据以验证数值模型。多区域模型正在改进,它们是预测整个建筑物通风性能的主要工具。区域模型的应用受到限制,可以用粗网格流体动力学模型代替。 CFD模型是最受欢迎的,占本次回顾文献的70%。为了寻找更可靠,更准确的模型,人们仍然付出了巨大的努力。通过将CFD与其他建筑仿真模型耦合来提高其性能已成为一种趋势。 CFD模型的应用主要用于研究室内空气质量,自然通风和分层通风,这是其他模型难以预测的。

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