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Generalized algorithm for simulating contaminant distribution in complex ventilation systems with recirculation

机译:带有循环的模拟复杂通风系统中污染物分布的通用算法

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In complex ventilation systems with air recirculation, the contaminant concentration at the supply inlets is generally unknown, which limits the application of computational fluid dynamics (CFD) tools to simulate the indoor contaminant distribution. In this article, we develop a new algorithm that can deal with different ventilation scenarios while it requires minimum computing time. This algorithm divides indoor contaminant distribution into two parts: the contribution from inlets and the contribution from sources. The former can be obtained with the concentrations at inlets and volume fraction for each inlet, which is defined as the relative concentration when the boundary concentrations are 1 for the inlet and 0 for other inlets. The latter is calculated by setting the concentrations at all inlets as 0. By combining the contaminant transportation characteristics in rooms and system ducts, the algorithm does not require iteration to solve the contaminant distribution in actual ventilation systems. The demonstration results of two case studies show the great influence of duct configuration on indoor contaminant distribution.
机译:在具有空气再循环的复杂通风系统中,通常不知道进气口的污染物浓度,这限制了计算流体力学(CFD)工具在模拟室内污染物分布方面的应用。在本文中,我们开发了一种新算法,该算法可以在需要最少计算时间的情况下处理各种通风情况。该算法将室内污染物分布分为两部分:入口的贡献和源的贡献。前者可通过入口处的浓度和每个入口的体积分数获得,定义为当边界浓度为入口为1且其他入口为0时的相对浓度。后者是通过将所有入口处的浓度设置为0来计算的。通过结合房间和系统管道中的污染物传输特性,该算法不需要迭代即可解决实际通风系统中的污染物分布。两个案例研究的论证结果表明,管道结构对室内污染物的分布影响很大。

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