Predictive modelling of methane yield in biochar-amended cheese whey and septage co-digestion: Exploring synergistic effects using Gompertz and neural networks

This study performed bench scale studies on anaerobic co-digestion of cheese whey and septage mixed with biochar (BC) as additive at various dosages (0.5 g, 1 g, 2 g and 4 g) and total solids (TS) concentrations (5%, 7.5%, 10%,12.5% and 15%). The experimental results revealed 29.58% increase in meth...

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Bibliographic Details
Published in:Chemosphere (Oxford) 2024-04, Vol.353, p.141558-141558, Article 141558
Main Authors: K, Bella, Pilli, Sridhar, Rao, P. Venkateswara, Tyagi, R.D.
Format: Article
Language:English
Subjects:
Anaerobiosis
Artificial neural network
Biofuels
Biogas production rate
Bioreactors
Charcoal
Cheese
Digestion
Methane
Neural Networks, Computer
Optimisation
Septage-derived biochar
Total solids
Whey
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Summary:This study performed bench scale studies on anaerobic co-digestion of cheese whey and septage mixed with biochar (BC) as additive at various dosages (0.5 g, 1 g, 2 g and 4 g) and total solids (TS) concentrations (5%, 7.5%, 10%,12.5% and 15%). The experimental results revealed 29.58% increase in methane yield (486 ± 11.32 mL/gVS) with 27% reduction in lag phase time at 10% TS concentration and 50 g/L of BC loading. The mechanistic investigations revealed that BC improved process stability by virtue of its robust buffering capacity and mitigated ammonia inhibition. Statistical analysis indicates BC dosage had a more pronounced effect (P 
ISSN:0045-6535
1879-1298
DOI:10.1016/j.chemosphere.2024.141558