Multivariate Chemometric Analysis of Membrane Fouling Patterns in Biofilm Ceramic Membrane Bioreactor
| Autor: | Zakhar Maletskyi, Harsha Ratnaweera, Olga Kulesha |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
lcsh:Hydraulic engineering
multivariate statistics Microfiltration Geography Planning and Development 02 engineering and technology 010501 environmental sciences Aquatic Science Membrane bioreactor 01 natural sciences Biochemistry lcsh:Water supply for domestic and industrial purposes lcsh:TC1-978 Bioreactor 0105 earth and related environmental sciences Water Science and Technology lcsh:TD201-500 Fouling membrane fouling Membrane fouling biofilm membrane bioreactor ceramic membranes 021001 nanoscience & nanotechnology Pulp and paper industry Mixed liquor suspended solids operation Membrane Ceramic membrane Environmental science 0210 nano-technology water crisis |
| Zdroj: | Water, Vol 10, Iss 8, p 982 (2018) Water Volume 10 Issue 8 |
| ISSN: | 2073-4441 |
| DOI: | 10.3390/w10080982 |
| Popis: | Membrane fouling highly limits the development of Membrane bioreactor technology (MBR), which is among the key solutions to water scarcity. The current study deals with the determination of the fouling propensity of filtered biomass in a pilot-scale biofilm membrane bioreactor to enable the prediction of fouling intensity. The system was designed to treat domestic wastewater with the application of ceramic microfiltration membranes. Partial least squares regression analysis of the data obtained during the long-term operation of the biofilm-MBR (BF-MBR) system demonstrated that Mixed liquor suspended solids (MLSS), diluted sludge volume index (DSVI), chemical oxygen demand (COD), and their slopes are the most significant for the estimation and prediction of fouling intensity, while normalized permeability and its slope were found to be the most reliable fouling indicators. Three models were derived depending on the applied operating conditions, which enabled an accurate prediction of the fouling intensities in the system. The results will help to prevent severe membrane fouling via the change of operating conditions to prolong the effective lifetime of the membrane modules and to save energy and resources for the maintenance of the system. |
| Databáze: | OpenAIRE |
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