Niloofar

Application of dielectric barrier discharge (dbd) plasma packed with glass and ceramic pellets for so2 removal at ambient temperature: optimization and modeling using response surface methodology

  • Authors Details :  
  • Niloofar Damyar,  
  • Ali Khavanin,  
  • Ahmad Jonidi Jafari,  
  • Hassan Asilian-mahabadi,  
  • Ramazan Mirzaei

Journal title : Plasma Science and Technology

Publisher : IOP Publishing

Print ISSN : 1009-0630

Page Number : 105501

Journal volume : 22

Journal issue : 10

223 Views Original Article

Air pollution is a major health problem in developing countries and has adverse effects on human health and the environment. Non-thermal plasma is an effective air pollution treatment technology. In this research, the performance of a dielectric barrier discharge (DBD) plasma reactor packed with glass and ceramic pellets was evaluated in the removal of SO2 as a major air pollutant from air in ambient temperature. The response surface methodology was used to evaluate the effect of three key parameters (concentration of gas, gas flow rate, and voltage) as well as their simultaneous effects and interactions on the SO2 removal process. Reduced cubic models were derived to predict the SO2 removal efficiency (RE) and energy yield (EY). Analysis of variance results showed that the packed-bed reactors (PBRs) studied were more energy efficient and had a high SO2 RE which was at least four times more than that of the non-packed reactor. Moreover, the results showed that the performance of ceramic pellets was better than that of glass pellets in PBRs. This may be due to the porous surface of ceramic pellets which allows the formation of microdischarges in the fine cavities of a porous surface when placed in a plasma discharge zone. The maximum SO2 RE and EY were obtained at 94% and 0.81 g kWh−1, respectively under the optimal conditions of a concentration of gas of 750 ppm, a gas flow rate of 2 l min−1, and a voltage of 18 kV, which were achieved by the DBD plasma packed with ceramic pellets. Finally, the results of the model's predictions and the experiments showed good agreement.

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DOI : https://doi.org/10.1088/2058-6272/ab9281

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