Journal of Environmental Science International (한국환경과학회지)

The Korean Environmental Sciences Society (한국환경과학회)
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The Prediction of Optimal Pulse Pressure Drop by Empirical Static Model in a Pulsejet Bag Filter

경험모델을 이용한 충격기류식 여과집진기의 적정 탈진압력 예측

  • Suh, Jeong-Min (Department of Bio-Environmental Energy, Pusan National University) ;
  • Park, Jeong-Ho (Department of Environmental engineering, Gyeongnam National University of Science and Technology) ;
  • Lim, Woo-Taik (Department of Applied Chemistry, Andong National University) ;
  • Kang, Jum-Soon (Department of Horticultural Bioscience, Pusan National University) ;
  • Cho, Jae-Hwan (Department of Agricultural Economics, Pusan National University)
  • 서정민 (부산대학교 바이오환경에너지학과) ;
  • 박정호 (경남과학기술대학교 환경공학과) ;
  • 임우택 (안동대학교 응용화학과) ;
  • 강점순 (부산대학교 원예생명과학과) ;
  • 조재환 (부산대학교 농업경제학과)
  • Received : 2012.02.07
  • Accepted : 2012.05.14
  • Published : 2012.05.31
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Abstract

A pilot-scale pulse-jet bagfilter was designed, built and tested for the effects of four operating conditions (filtration velocity, inlet dust concentration, pulse pressure, and pulse interval time) on the total system pressure drop, using coke dust from a steel mill factory. Two models were used to predict the total pressure drop according to the operating conditions. These model parameters were estimated from the 180 experimental data points. The empirical model (EM) with filtration velocity, areal density, inlet dust concentration, pulse interval time and pulse pressure shows the best correlation coefficient (R=0.971) between experimental data and model predictions. The empirical model was used as it showed higher correlation coefficient (R=0.971) compared to that of the Multivariate linear regression(MLR) (R=0.961). The minimum pulse pressure predicted by empirical model (EM) was 5kg/$cm^2$.

Keywords

References

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