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Studies on Modeling of Bioreactors for Removal of Pollutants in Flue Gas

Mousavi Shoushtari, Shimasadat | 2016

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 49303 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Vosoughi, Manoochehr; Yaghmaei, Soheila
  7. Abstract:
  8. In present study, two bioreactors for biological and chemical removal of nitrogen oxides are modeled. Nitrogen oxides are of the most important pollutants in flue gas stream. These components are hazardous materials and could lead to acid rain, ground-level ozone, smog and the depletion of ozone layer. There are several methods for removing these pollutants which are categorized to two main groups: non-biological and biological methods. Biological removal has the advantage of removing the pollutants by an acceptable efficiency. In present study, two packed-bed bioreactors are modeled by the means of considering two kinds of biological removal mechanism in defined operating conditions. The models were developed in order to get better fit to experimental data. The effects of parameters such as pollutant inlet concentration and residence time were studied for first model, and it was observed that in the period of nitrogen monoxide concentration in flue gas, the removal efficiency is not affected by this parameter. Moreover, by increasing the residence time, the removal efficiency will increase accordingly. Furthermore, sensitivity analysis showed that the RE is not dependent on the accuracy of estimated parameters excessively. Regarding second model, denitrification mechanism was used and some developments occurred in order to get more fit to experimental data. Moreover, the effect of bioreactor length was evaluated, and it was seen that by increasing this parameter, the RE would increase accordingly. At the end, two models were compared with each other, and a biofilter is designed for a power plant according to the first model
  9. Keywords:
  10. Bioreactor ; Modeling ; Nitrogen Oxides ; Biological Removal ; Air Pollutant ; Flue Gas

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