A Biophysicochemical Model for NO Removal by the Chemical Absorption–Biological Reduction Integrated Process

Abstract

The chemical absorption-biological reduction (CABR) integrated process is regarded as a promising technology for NOx removal from flue gas. To advance the scale-up of the CABR process, a mathematic model based on mass transfer with reaction in the gas, liquid, and biofilm was developed to simulate and predict the NOx removal by the CABR system in a biotrickling filter. The developed model was validated by the experimental results and subsequently was used to predict the system performance under different operating conditions, such as NO and O2 concentration and gas and liquid flow rate. NO distribution in the gas phase along the biotrickling filter was also modeled and predicted. On the basis of the modeling results, the liquid flow rate and total iron concentration were optimized to achieve >90% NO removal efficiency. Furthermore, sensitivity analysis of the model revealed that the performance of the CABR process was controlled by the bioreduction activity of Fe(III)EDTA. This work will provide the guideline for the design and operation of the CABR process in the industrial application.

Mechanistic Study of Selective Absorption of NO in Flue Gas Using EG-TBAB Deep Eutectic Solvents

“…Using eqs –, the diffusion coefficient of NO ( D ) and the enhanced factor of the gas absorption were calculated and are shown in Table S2. The obtained k 1 values agreed with those reported in the literature, and the NO absorption capacity of the EG-TBAB DESs systems were comparable with those of aqueous solution of iron­(II) chelate complexes. , These results further indicated that the EG-TBAB DESs could effectively absorb NO and the NO absorption was mainly controlled by mass transfer.…”

A Mass-Transfer Model of Nitric Oxide Removal In a Rotating Drum Biofilter Coupled with FeII(EDTA) Absorption

“…The largest average relative error in the whole model prediction process is within 2.27% and the largest maximum relative error is 8.54%. Compared with the results of Zhao et al, the largest average relative error between model and experimental data is 5.72%, the largest maximum relative error is −7.65%. It can be seen that the model prediction error is controlled within a reasonable range, that is to say the accuracy of the model is guaranteed.…”

Experimental Study on Denitration Performance of Iron Complex-Based Absorption Solutions and Their Regeneration by Zn

“…Zhu et al studied the use of activated carbon for the reduction of Fe­(III)­EDTA to Fe­(II)­EDTA by sulfite/bisulfite catalytic reduction to preserve the ability of Fe­(II)­EDTA to remove NO from solution . Chen et al reduced Fe­(II)­EDTA-NO by a newly isolated thermophilic Anoxybacillus, and Zhao et al used a biophysicochemical model for NO removal . However, the methods require strict and difficult operation and cannot be applied in large scale.…”

“…16 Chen et al reduced Fe(II)EDTA-NO by a newly isolated thermophilic Anoxybacillus, 17 and Zhao et al used a biophysicochemical model for NO removal. 18 However, the methods require strict and difficult operation and cannot be applied in large scale.…”