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A predictive model for the formaldehyde removal performance of sorption-based portable air cleaners with pleated composite filter

机译：吸附式折叠复合式便携式空气净化器除甲醛性能的预测模型

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摘要

Sorption-based portable air cleaners (PACs) are widely-used to remove gaseous contaminants. However, their capacity decline as a result of saturation cannot be well predicted through tests alone. Therefore, a predictive model to characterize the performance of a sorption-based PAC installed with a pleated composite filter is proposed in this paper. A salient merit of this proposed model is that once verified, it merely requires information regarding the adsorbent to simulate the assembled PAC. The model verification was conducted at three levels: 1) Dynamic adsorption test on the single-layer filter segment; 2) Contaminant removal test on the assembled PAC in the laboratory, which validated the extrapolation from the filter to the actual PAC unit; and 3) Field test in the research building. The third part estimated the robustness of the model in real situations. Formaldehyde was chosen as the target contaminant.Results: show that the model can handle changes in significant factors including temperature, relative humidity, flow rate, and inlet concentration. It was successfully extrapolated to an assembled PAC and was able to capture the point of decline of the clean air delivery rate (CADR) in the laboratory. Besides, the average relative errors between the tested and simulated results in the field test were under 20%, which is considered suitable for engineering applications.
机译：基于吸附的便携式空气净化器（PAC）被广泛用于去除气态污染物。但是，仅通过测试无法很好地预测由于饱和导致的容量下降。因此，本文提出了一种预测模型，用于表征安装了褶状复合过滤器的基于吸附的PAC的性能。该提出的模型的一个突出优点是，一旦验证，它仅需要有关吸附剂的信息即可模拟组装的PAC。在三个层面上进行了模型验证：1）在单层过滤器段上进行动态吸附测试； 2）在实验室中对组装好的PAC进行污染物去除测试，验证了从过滤器到实际PAC单元的推断； 3）在研究大楼进行现场测试。第三部分估计了模型在实际情况下的鲁棒性。结果表明：该模型可以处理包括温度，相对湿度，流速和入口浓度在内的重要因素的变化。它成功地推算到组装好的PAC上，并且能够捕获实验室中清洁空气传输率（CADR）的下降点。此外，在现场测试中，测试结果与仿真结果之间的平均相对误差在20％以下，这被认为适合工程应用。

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