Qualitative estimation of SBR biological nutrient removal performance for wastewater treatment

Full Text
QualitativeEstimation.pdf embargoed access
Request a copy
When filling the form you are requesting a copy of the article, that is deposited in the institutional repository (DUGiDocs), at the autor or main autor of the article. It will be the same author who decides to give a copy of the document to the person who requests it, if it considers it appropriate. In any case, the UdG Library doesn’t take part in this process because it is not authorized to provide restricted articles.
The main goal of wastewater treatment is to obtain high quality effluent. This study proposes a methodology to estimate in real‐time the effluent quality in a biological nutrient removal (BNR) sequencing batch reactor (SBR) process. Results This is achieved by: (i) detecting the batch quality; and (ii) predicting the classification of the release according to different effluent characteristics. A principal component analysis (PCA) model is built to discern normal or abnormal behavior of the batch release. An index is given to every phase of the process by means of contribution analysis, and a fault signature (FS) is created. The FS in a classification model is associated with a biological removal quality. Conclusion The model is applied as a soft‐sensor in real‐time to new batch releases to obtain a qualitative estimate of the effluent. A correct estimation for the qualitative variables, of above 95%, would provide a reliable tool to estimate BNR performances ​
​Tots els drets reservats