| 학회 | 한국화학공학회 |
| 학술대회 | 2013년 가을 (10/23 ~ 10/25, 대구 EXCO) |
| 권호 | 19권 2호, p.1386 |
| 발표분야 | 공정시스템 |
| 제목 | Analysis, Monitoring and Prediction of SWRO desalination plant |
| 초록 | The present study evaluates monitoring and prediction of a full-scale sea water reverse osmosis (SWRO) desalination plant which deals with the application of multivariate analysis of variance (MANOVA); Principal Component Analysis (PCA), hotelling’s T2, Q chart and VIP plots using data collected from full-scale SWRO desalination plant in Korea. MANOVA is used for statistical hypothesis testing for two stages Pore controllable fiber filter-reverse osmosis (PCF-RO) and Sand filtration-ultra filtration-reverse osmosis (SF-UF-RO) models PCA is applied for dimensional reduction of data collected. Hotelling’s T2 and Q chart statistic is used for the monitoring of the process. Variable importance in the projection (VIP) plot generates the influential parameters on the permeate stream. The results shows that multivariate statistic process control (MSPC) techniques such as PCA, and control charts such as Hotelling’s T2 and Q chart statistic can be effectively applied for monitoring of SWRO desalination plant. Acknowledgement: This work was supported by the Korea Research Foundation Grant funded by the Korean Government (KRF-2012-001400). |
| 저자 | KOLLURI SRINIVAS SAHAN, Iman Janghorban Esfahani, 유창규 |
| 소속 | 경희대 |
| 키워드 | Multivariate statistical process control; Principal component analysis; Sea water reverse osmosis |
| 원문파일 | 초록 보기 |
