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/㎠.

Abstract
 1. 서 론
 2. 재료 및 방법
  2.1. 실험재료
  2.2. 실험장치
  2.3. 실험방법
 3. 모델링
  3.1. 로그 다 변수 선형 회귀법(Multivariate linear regression : MLR)
  3.2. 경험모델(Empirical model : EM)
 4. 결과 및 고찰
  4.1. 모델비교(Model comparison)
 5. 결 론
 참 고 문 헌

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