title: Back propagation neural network modelling of biodegradation and fermentative biohydrogen production using distillery wastewater in a hybrid upflow anaerobic sludge blanket reactor.
abstract: In a hybrid upflow anaerobic sludge blanket (HUASB) reactor, biodegradation in association with biohydrogen production was studied using distillery wastewater as substrate. The experiments were carried out at ambient temperature (34±1°C) and acidophilic pH of 6.5 with constant hydraulic retention time (HRT) of 24h at various organic loading rates (OLRs) (1-10.2kgCODm(-3)d(-1)) in continuous mode. A maximum hydrogen production rate of 1300mLd(-1) was achieved. A back propagation neural network (BPNN) model with network topology of 4-20-1 using Levenberg-Marquardt (LM) algorithm was developed and validated. A total of 231 data points were studied to examine the performance of the HUASB reactor in acclimatisation and operation phase. The statistical qualities of BPNN models were significant due to the high correlation coefficient, R(2), and lower mean absolute error (MAE) between experimental and simulated data. From the results, it was concluded that BPNN modelling could be applied in HUASB reactor for predicting the biodegradation and biohydrogen production using distillery wastewater.
authors.affiliation: Pollution Control Research Laboratory, Department of Chemical Engineering, Faculty of Engineering and Technology, Annamalai University, Annamalai Nagar 608002, Tamil Nadu, India. Electronic address: sridevi.kothandapani@gmail.com.
authors.forename: K
authors.initials: K
authors.lastname: Sridevi
authors.affiliation: Department of Electronics and Instrumentation Engineering, Faculty of Engineering and Technology, Annamalai University, Annamalai Nagar 608002, Tamil Nadu, India. Electronic address: sivaraman2k7@gmail.com.
authors.forename: E
authors.initials: E
authors.lastname: Sivaraman
authors.affiliation: Pollution Control Research Laboratory, Department of Chemical Engineering, Faculty of Engineering and Technology, Annamalai University, Annamalai Nagar 608002, Tamil Nadu, India. Electronic address: pmullai@yahoo.in.
authors.forename: P
authors.initials: P
authors.lastname: Mullai
mesh_terms: D000064:Acclimatization; D000693:Anaerobiosis; D001673:Biodegradation, Environmental; D056804:Biofuels; D057919:Biological Oxygen Demand Analysis; D019149:Bioreactors / Q000382:microbiology*; D057168:Distillation; D005232:Fatty Acids, Volatile / Q000032:analysis; D006859:Hydrogen / Q000378:metabolism*; D006863:Hydrogen-Ion Concentration; D007220:Industrial Waste / Q000032:analysis*; D016571:Neural Networks, Computer; D015203:Reproducibility of Results; D012212:Rheology; D062065:Wastewater / Q000737:chemistry*; D018508:Water Purification / Q000295:instrumentation*
chemical_list: D056804:Biofuels; D005232:Fatty Acids, Volatile; D006859:Hydrogen; D007220:Industrial Waste; D062065:Wastewater
keywords: Anaerobic fermentation; Back propagation neural networks; Distillery wastewater; HUASB reactor