PCA as tool for intelligent ultrafiltration for reverse osmosis seawater desalination pretreatment
| Autor: | Guillem Gilabert-Oriol, Ingmar Nopens, Wouter Naessens, Veronica Garcia-Molina, Thomas Maere |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
Fouling business.industry Seawater desalination Mechanical Engineering General Chemical Engineering Membrane fouling Environmental engineering Backwashing Ultrafiltration 02 engineering and technology General Chemistry 021001 nanoscience & nanotechnology 020401 chemical engineering Principal component analysis General Materials Science Seawater 0204 chemical engineering 0210 nano-technology business Process engineering Reverse osmosis Water Science and Technology |
| Zdroj: | Desalination. 419:188-196 |
| ISSN: | 0011-9164 |
| DOI: | 10.1016/j.desal.2017.06.018 |
| Popis: | A novel fouling monitoring methodology based on principal component analysis (PCA) has been validated using transmembrane pressure (TMP) data of a pilot-scale pressurized ultrafiltration (UF) system operated with seawater. The evolution of membrane fouling was investigated to determine its relation to the used cleaning strategy on the one hand and the quality of the raw seawater on the other hand. The developed models showed that in terms of cleaning efficiency there are no significant differences between the standard and optimized backwashing protocols that were employed. This confirms the hypothesis of being able to use the optimized operation in a sustainable manner and benefit from lower cleaning frequencies. In addition, it has been demonstrated that the use of PCA as a monitoring technique to detect abnormal fouling behaviour is a robust tool. By using PCA, decisions on cleaning sequences or frequencies could be taken dynamically instead of running the system with fixed cycles. |
| Databáze: | OpenAIRE |
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