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Prediction of photocatalytic air purifier apparatus performances with a CFD approach using experimentally determined kinetic parameters

机译:通过CFD方法使用实验确定的动力学参数预测光催化空气净化器的性能

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摘要

An original methodology to predict space-time concentration distribution of VOC in an enclosed space where a photocatalytic air purifier apparatus is placed is herein presented. This apparatus is specially designed for indoor air treatment. Intrinsic kinetic parameters are first determined in a perfectly mixed batch reactor allowing a direct access to chemical reaction rate with a few experiments. Computational fluid dynamics (CFD) is then used to model fluid flow in the room and calculate space-time concentration of VOC by setting chemical reaction rate as a boundary condition based on kinetic parameters determined in the batch reactor. Experiments and modelling are performed using acetaldehyde which is a common indoor volatile organic compound and titanium dioxide thin film coated on steel performed by a PVD method. Remediation of acetaldehyde is investigated at low concentration levels, in the low ppm range. Prediction of acetaldehyde removal in the enclosed space is then compared with experimental results allowing validation of the methodology.
机译:本文提出了一种原始方法,用于预测放置光催化空气净化器设备的封闭空间中VOC的时空浓度分布。该设备是专门为室内空气处理而设计的。首先在完全混合的间歇反应器中确定内在动力学参数,从而允许通过一些实验直接获得化学反应速率。然后,使用计算流体动力学(CFD)对室内的流体流进行建模,并基于分批反应器中确定的动力学参数,通过将化学反应速率设置为边界条件来计算VOC的时空浓度。实验和建模使用乙醛(一种常见的室内挥发性有机化合物)和通过PVD方法在钢上涂覆的二氧化钛薄膜进行。在低浓度范围(低ppm范围)内研究了乙醛的修复。然后将封闭空间中乙醛去除的预测结果与实验结果进行比较,从而验证方法学的有效性。

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