| 학회 |
한국화학공학회 |
| 학술대회 |
2018년 가을 (10/24 ~ 10/26, 대구 EXCO) |
| 권호 |
24권 2호, p.1284 |
| 발표분야 |
공정시스템(Process Systems Engineering) |
| 제목 |
통계학적 성장 모델을 이용한 생물학적 막분리공정 파울링 평가 및 진단 |
| 초록 |
This study was carried out to statistically evaluate the removal performance of nutrients in the MBRs. Changes in temperature because of change in different seasons and increase in trans-membrane pressure (TMP) due to membrane fouling could be the reasons causing the change of removal performance. Therefore, in order to realize a proper strategy to manage the quality of effluent in the system, a statistic evaluation method of removal performance according to the changes in temperature and TMP would be necessary. For this, a multivariate analysis method was proposed to consider in this study. The results of testing the hypothesis showing that there could be different statistically the mean performance among periods of time on the same membrane or among membranes in periods of time. This could be useful to optimize operating conditions in the MBRs. Acknowledgments This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT). (No.NRF-2017R1E1A1A03070713) |
| 저자 |
남기전, Hoang Tuan Viet, 유창규
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| 소속 |
경희대 |
| 키워드 |
공정모델링; 공정모사; 이상진단
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| E-Mail |
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| 원문파일 |
초록 보기 |
