학회 | 한국화학공학회 |
학술대회 | 2016년 가을 (10/19 ~ 10/21, 대전컨벤션센터) |
권호 | 22권 2호, p.1546 |
발표분야 | 공정시스템 |
제목 | 통계적 프로파일 모니터링을 이용한 MBR공정의 막 세척 주기 진단 |
초록 | MBR (Membrane bioreactor) combined with conventional biological process with physical membrane process has been widely used. But MBR has a disadvantage as fouling which increases operating cost. Therefore, accurate cleaning interval should be detected for efficient and economic MBR operating. This study used TMP (Trans-Membrane Pressure) values of lab-scale MBR process and pilot-scale MBR process. TMP values are converted to TMP to the lambda by power transform for normality. Then, linear regression model is computed from transformed TMP values according to time. Betas of linear regression model intercept, slope and variance are used for cleaning interval detection by statistical profile monitoring which uses Shewhart control chart. Detected cleaning interval which is out control of Shewhart control chart is corresponded to real MBR process cleaning time. Therefore, this study suggested accurate cleaning interval detection method which is statistical profile monitoring for efficient and economic operating of MBR process. Acknowledgements This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIP) (No.2015R1A2A2A11001120) |
저자 | 남기전, 유창규 |
소속 | 경희대 |
키워드 | 공정모델링 |
원문파일 | 초록 보기 |