Literature DB >> 27442232

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

Jingkai Zhao1, Yinfeng Xia1, Meifang Li1, Sujing Li1, Wei Li1, Shihan Zhang2.   

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.

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Year:  2016        PMID: 27442232     DOI: 10.1021/acs.est.6b01414

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  2 in total

1.  Reduction of FeII(EDTA)-NO by Mn powder in wet flue gas denitrification technology: stoichiometry, kinetics, and thermodynamics.

Authors:  Jun Chen; Jinjia He; Xiaoping Wang; Dzmitry Hrynsphan; Jiali Wu; Jianmeng Chen; Jiachao Yao
Journal:  Environ Sci Pollut Res Int       Date:  2019-11-19       Impact factor: 4.223

2.  Effects of cobalt-histidine absorbent on aerobic denitrification by Paracoccus versutus LYM.

Authors:  Chaoyue Sun; Yu Zhang; Zhenping Qu; Jiti Zhou
Journal:  AMB Express       Date:  2019-12-17       Impact factor: 3.298

  2 in total

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