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Removal of NOx using electron beam process with NaOH spraying

  • Shin, Jae Kyeong (Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute) ;
  • Jo, Sang-Hee (Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute) ;
  • Kim, Tae-Hun (Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute) ;
  • Oh, Yong-Hwan (Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute) ;
  • Yu, Seungho (Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute) ;
  • Son, Youn-Suk (Department of Environmental Engineering, Pukyong National University) ;
  • Kim, Tak-Hyun (Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute)
  • Received : 2021.03.11
  • Accepted : 2021.06.20
  • Published : 2022.02.25

Abstract

Nitrogen oxides (NOx; NO and NO2) are major air pollutants and can cause harmful effects on the human body. Electron Beam Flue Gas Treatment (EBFGT) is a technology that generates electrons with an energy of 0.5-1 MeV using electron accelerators and effectively processes exhaust gases. In this study, NOx was removed using an electron beam accelerator with spraying additives (NaOH and NH4OH). NO and NO2 were 100% and more than 94% removed, respectively, at an electron beam absorbed dose of 20 kGy and an additive concentration of 0.02 M (mol/L). In most cases, NOx was removed better with lower initial NOx concentrations and higher electron beam absorbed doses. As the irradiation strength (mA) of the electron beam increases, the probability of electron impact on the material accordingly rises, which may lead to increase removal efficiency. The results of the present study show that the continuous electron beam process using additives achieved more effective removal efficiency than either individual process (wet-scrubbing or EB irradiation only).

Keywords

Acknowledgement

This research was supported by the Nuclear R&D program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2018M2A2B3A06071698).

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