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Analysis of the effect of intrinsic sludge properties on sludge drying characteristics from both sludge composition and type scales.
- Source :
-
Waste Management . Jun2024, Vol. 183, p278-289. 12p. - Publication Year :
- 2024
-
Abstract
- • The principal component analysis was suitable for sludge properties analysis. • The variance contribution of the extracted two principal components was 92.5 %. • Principal component scores visualized characteristics of sludge solids parameters. • The maximum drying rate was positively correlated with the initial moisture content. Convective drying is an effective method for reducing the moisture content of the sludge. Fewer studies have discussed the effect of sludge physicochemical properties on drying compared to air parameters. Eleven types of sludge were collected, and ultimate analysis, proximate analysis, and heat value analysis were performed. Meanwhile, the maximum drying rate (u max) of sludge convection drying at 70 °C was determined. The results showed that the cumulative variance contribution of the two extracted principal components (PCs) was 92.5 %. Then, a regression model of u max was developed based on the extracted PCs. The coefficient of determination of this model was 0.788, and the difference was statistically significant, with a negative correlation between u max and PC2. Further, the principal component score plot enabled the traceability of the integrated sludge, and based on this classification results, the drying characteristics of various types of sludge were discussed, and a high correlation (R2 = 0.9590) between the initial moisture content of sludge and u max was found. Mathematical models between sludge physicochemical properties and drying characteristics can be effectively developed from both sludge composition and type scales. This exploration deepened the knowledge of sludge drying and facilitates the prediction of drying rate. [ABSTRACT FROM AUTHOR]
- Subjects :
- *PRINCIPAL components analysis
*REGRESSION analysis
*MATHEMATICAL models
Subjects
Details
- Language :
- English
- ISSN :
- 0956053X
- Volume :
- 183
- Database :
- Academic Search Index
- Journal :
- Waste Management
- Publication Type :
- Academic Journal
- Accession number :
- 177566470
- Full Text :
- https://doi.org/10.1016/j.wasman.2024.05.020