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Study of airflow and thermal stratification in naturally ventilated rooms

机译:自然通风室内气流和热分层的研究

摘要

Natural ventilation (NV) can considerably contribute to reducing the cooling energy consumption of a building and increase occupant productivity, if correctly implemented. Such energy savings depend on the number of hours that NV can maintain the indoor air temperature within comfort levels. CoolVent, currently the only simple multizone simulation tool that can adequately model the physics of NV in buildings, assumes a uniform temperature distribution in each room or zone. This temperature corresponds to the exhaust air temperature of each room using an energy balance. In reality, however, the air in a room is often thermally stratified, and the air temperature at occupant level can be significantly lower than the exhaust temperature. The final goal of this thesis was to develop a set of criteria to predict the vertical temperature profile in naturally ventilated rooms by comparing the strength of buoyant to inertial forces in the space, based on a few critical room airflow and physical parameters. Developing such criteria required conducting a thorough study of the physics of turbulent jets and plumes, their development in room-sized enclosures, and their effect on the airflow and heat transfer dynamics in a room. Additionally, it was necessary to investigate, using Computational Fluid Dynamics, the effect of certain parameters -such as radiative heat transfer, heat source distribution and room geometry, among others- on the physics of room airflow simulations. Results shed light on the complexity of modeling room airflow and thermal physics analytically, particularly when the air is thermally stratified. Thermal stratification predictions indicate that multi-zone models overestimate the air temperature at occupant height by up to 40% of the total room air temperature change. This work enhances the physical understanding of modeling critical elements of room airflow and improves the predictive accuracy of the natural ventilation potential in buildings. These contributions promote a wider use of passive cooling strategies, thereby increasing the energy efficiency of the built environment.
机译:如果正确实施,自然通风(NV)可以极大地减少建筑物的制冷能耗,并提高居住者的生产率。这种节能取决于NV可以将室内空气温度保持在舒适水平内的小时数。 CoolVent是目前唯一能够充分模拟建筑物内NV物理的简单多区域模拟工具,它假设每个房间或区域内的温度分布均匀。使用能量平衡,该温度对应于每个房间的排气温度。然而,实际上,房间中的空气通常是热分层的,并且乘员水平的空气温度可能大大低于排气温度。本文的最终目标是根据一些关键的房间气流和物理参数,通过比较空间中的浮力和惯性力的强度,制定一套标准来预测自然通风房间的垂直温度曲线。制定此类标准需要对湍流射流和羽流的物理特性,它们在房间大小的机壳中的发展以及它们对房间中气流和传热动力学的影响进行深入研究。此外,有必要使用计算流体力学研究某些参数(例如辐射热传递,热源分布和房间几何形状等)对房间气流模拟的影响。结果揭示了对房间气流和热物理模型进行建模的复杂性,特别是当空气经过热分层时。热分层预测表明,多区域模型高估了乘员高度处的空气温度,最多占室内空气总温度变化的40%。这项工作增强了对室内气流关键要素建模的物理理解,并提高了建筑物中自然通风潜力的预测准确性。这些贡献促进了被动冷却策略的广泛使用,从而提高了建筑环境的能源效率。

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