Premium
Qualitative estimation of SBR biological nutrient removal performance for wastewater treatment
Author(s) -
Colomer Joan,
Wong Alberto,
Coma Marta,
Puig Sebastià,
Colprim Jesus
Publication year - 2013
Publication title -
journal of chemical technology and biotechnology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.64
H-Index - 117
eISSN - 1097-4660
pISSN - 0268-2575
DOI - 10.1002/jctb.3976
Subject(s) - effluent , sequencing batch reactor , process (computing) , process engineering , wastewater , computer science , quality (philosophy) , quality by design , environmental science , biochemical engineering , pulp and paper industry , engineering , environmental engineering , operations management , philosophy , epistemology , operating system , downstream (manufacturing)
Background 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.© 2012 Society of Chemical Industry