Literature DB >> 24701934

Biological NOx removal by denitrification process in a jet-loop bioreactor: system performance and model development.

Serdar Durmazpinar, Nalan Ilhan, Gonca Demir, Güçlü Insel, Nadir Dizge, Pinar Ergenekon, Elif Erhan, Bülent Keskinler.   

Abstract

Nitrogen monoxide (NO) and nitrogen dioxide referred as NOx are one of the most important air pollutants in the atmosphere. Biological NOx removal technologies have been developing to reach a cost-effective control method for upcoming stringent NOx emission standards. The BioDeNOx system was seen as a promising biological NOx control technology which is composed of two reactors, one for absorbing of NO in an aqueous Fe(II)EDTA2- solution and the other for subsequent reduction to N2 gas in a biological reactor by the denitrification process. In this study, instead of two discrete reactors, only one jet-loop bioreactor (JLBR) was utilized as both absorption and denitrification unit and no chelate-forming chemicals were added. In other words, the advantage of better mass transfer conditions of jet bioreactor was used instead of Fe(II)EDTA2-. The process was named as Jet-BioDeNOx. The JLBR was operated for the removal of NOx from air streams containing 500-3000 ppm NOx and the results showed that the removal efficiency was between 81% and 94%. The air to liquid flow ratio (Q(G)/Q(RAS)) varied in the range of 0.07-0.12. Mathematical modelling of the system demonstrated that the removal efficiency strongly depends on this ratio. The high mass transfer conditions prevailed in the reactor provided a competitive advantage on removing NO gas without any requirement of chelating chemicals.

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Year:  2014        PMID: 24701934     DOI: 10.1080/09593330.2013.868529

Source DB:  PubMed          Journal:  Environ Technol        ISSN: 0959-3330            Impact factor:   3.247


  1 in total

1.  Regeneration of Fe II /Fe III complex from NO chelating absorption by microbial fuel cell.

Authors:  Qiang Liu; Keyan Yu; Peng Yi; Weimin Cao; Xueping Chen; Xiaolei Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2019-05-10       Impact factor: 4.223

  1 in total

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