Qualitative estimation of SBR biological nutrient removal performance for wastewater treatment

​
orcId Colomer Llinàs, Joan​ researcherId Colomer Llinàs, Joan​ scopusId Colomer Llinàs, Joan​ ​
Colomer Llinàs, Joan
​ ​ ​ ​
Wong, Alberto
orcId Coma Bech, Marta​ ​ scopusId Coma Bech, Marta​ ​
Coma Bech, Marta
orcId Puig Broch, Sebastià​ ​ scopusId Puig Broch, Sebastià​ ​
Puig Broch, Sebastià
orcId Colprim Galceran, Jesús​ researcherId Colprim Galceran, Jesús​ scopusId Colprim Galceran, Jesús​ ​
Colprim Galceran, Jesús
Text Complet
QualitativeEstimation.pdf embargoed access ​
​
Compartir
​
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 ​
Protegit per dret d'autor Protegit per dret d'autor
Mostra el registre complet de l'element