Mathematical correlations in two-phase modeling of fluidized bed adsorbers.

Choosing proper formulas for estimating different variables is imperative when modeling a fluidized bed using two-phase theory. In this study, a two-phase model was used to model the adsorption of volatile organic compounds (VOC) in a multistage fluidized bed adsorber. Two different approaches were used to describe gas flow and mixing in the emulsion phase, perfectly mixed (EGPM: Emulsion Gas - Perfectly Mixed) and plug flow (EGPF: Emulsion Gas - Plug flow). The impact of different formulas for estimating bubble size, bed porosity at minimum fluidization velocity, adsorption and interphase mass transfer coefficients, as well as tortuosity on the performance of the model was determined by comparing the model outcomes with experimental data. Finally, using a large dataset obtained from fluidized bed adsorption systems with different adsorbents, adsorbates, bed sizes, and operating conditions, a broadly-applicable set of formulas was suggested which could be used to describe the behavior of different countercurrent fluidized bed adsorbers. From the results, the two-phase model could successfully predict the experimental data, with EGPF showing better performance than EGPM. Proper use of formulas, especially those describing bed voidage and interphase mass transfer coefficient, could markedly improve the performance of the two-phase model. The two-phase model using the set of formulas proposed here was able to accurately replicate a large dataset of fluidized bed adsorption experiments over a wide range of operating conditions.

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

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 (R2 = 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 (R2 = 0.92) as well as overall removal efficiencies (R2 = 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 (R2 = 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.

Microbial toxicity of ethanolamines--multiwalled carbon nanotubes.

In the present study, antimicrobial activities of multiwalled carbon nanotubes (MWCNTs) functionalized with ethanolamine (EA) groups were investigated. Therefore, MWCNT were first functionalized with mono-, di-, and triethanolamine (MEA, DEA, and TEA) under microwave technique. Development of functional groups on the MWCNT surface was confirmed by Fourier transform infrared and thermogravimetric analysis. Morphological variation was investigated by transmission electron microscopy. Then, antimicrobial activities of pristine and functionalized MWCNT (MWCNT-MEA, -DEA, and -TEA) were tested against different bacteria species. The studies have been done on four Gram-negative bacteria (Escherichia coli, Klebsiella pneumonia, Pseudomonas aeroginosa, and Salmonella typhimurium) as well as four Gram-positive bacteria (Bacillus subtilis, Staphylococcus aureus, Bacillus cereus, and Streptococcus pneumonia). The results based on minimal inhibitory concentration and radial diffusion assay were shown that the antimicrobial activity of MWCNT-TEA > MWCNT-DEA > MWCNT-MEA > pristine MWCNT. Based on the results, it seems that EA groups could play an important role in antimicrobial activity of MWCNT.