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Modeling VOC adsorption in lab- and industrial-scale fluidized bed adsorbers: Effect of operating parameters and heel build-up

机译:造型VOC吸附在实验室和工业规模的流化床吸附器中:操作参数和鞋跟堆积的影响

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Scale-up and optimization of fluidized beds are challenging due to the difficulty in accounting for the interrelated effect of various phenomena, which are typically described by empirical and/or semi-empirical equations. In this study, a two-phase model was introduced to simulate the adsorption of VOCs on beaded activated carbon (BAC) in a lab-scale fluidized bed adsorber. The model assumes the presence of a bubble phase free from adsorbent particles, and an emulsion phase composed of the adsorbent particles and interstitial gas. The versatility of the proposed model was then evaluated using data from an industrial scale adsorber with different operating conditions, adsorbent properties, and bed geometry. The response of the model to the operating conditions (adsorbent feed rate, air flow rate and initial concentration) showed better agreement with the experimental lab-scale data when the emulsion gas in two-phase model was considered in plug flow than in perfectly-mixed flow (R-2 = 0.96 compared to 0.91). To simulate the performance of BACs with different service lifetimes (degree of exhaustion as a result of heel developed inside their pores), the main characteristics of the BACs (pore diameter, porosity, and adsorption capacity) were first correlated to their apparent densities. The model could accurately predict the experimental lab-scale VOC concentrations in each stage (R-2 = 0.92) as well as overall removal efficiencies (R-2 = 0.99) for BACs ranging from virgin to fully-spent. Finally, the model was used to predict the performance of an industrial-scale fluidized bed adsorber for VOC removal at different operating conditions and apparent densities. Predicted and measured VOC removal efficiencies were in good agreement (R-2 = 0.94). Although the model was verified for adsorption of VOCs on BAC, the modeling approach presented in this study could be used for describing adsorption in different adsorbate-adsorbent systems in multistage counter-current fluidized bed adsorbers.
机译:由于难以考虑各种现象的相互关联的效果,流化床的扩大和优化是挑战,这通常由经验和/或半经验方程描述。在这项研究中,引入了两相模型以模拟VOCS在实验室流化床吸附器中的串珠活性炭(BAC)上的吸附。该模型假定存在没有吸附剂颗粒的气泡相,以及由吸附剂颗粒和间质气体组成的乳液相。然后使用具有不同操作条件,吸附性能和床几何形状的工业规模吸附器的数据评估所提出的模型的多功能性。当在塞流中考虑两相模型中的乳液气体时,模型对操作条件(吸附进料速率,空气流速和初始浓度)的响应显示出比在塞流中的乳液气体中的乳液气体,而不是完全混合流动(R-2 = 0.96相比为0.91)。为了模拟BAC的性能与不同的服务寿命(由于孔隙内部的鞋跟而疲惫),植物(孔径,孔隙率和吸附能力)的主要特征首先与其表观密度相关。该模型可以准确地预测每个阶段(R-2 = 0.92)的实验实验室规模VOC浓度,以及用于从处女到完全废的BAC的总体去除效率(R-2 = 0.99)。最后,该模型用于预测工业规模流化床吸附剂的性能,用于在不同的操作条件下的VOC去除和表观密度。预测和测量的VOC去除效率非常一致(R-2 = 0.94)。虽然验证了模型对BAC的VOCS吸附,但该研究中呈现的建模方法可用于描述多级逆流流化床吸附器中不同吸附剂吸附系统中的吸附。

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