Applications of artificial intelligence in anaerobic co-digestion: Recent advances and prospects

M Khan, W Chuenchart, KC Surendra, SK Khanal - Bioresource technology, 2023 - Elsevier
Anaerobic co-digestion (AcoD) offers several merits such as better digestibility and process
stability while enhancing methane yield due to synergistic effects. Operation of an efficient …

Comparison of prediction of biogas yield in a batch mode underground fixed dome digester with cow dung

KC Obileke, S Tangwe, G Makaka… - Biomass Conversion and …, 2023 - Springer
The study aimed to compare the development of an artificial neural network (ANN) and
multilinear regression (MLR) model used to predict the performance of biogas in a batch …

Biogas Production Optimization in the Anaerobic Codigestion Process: A Critical Review on Process Parameters Modeling and Simulation Tools

M Kelif Ibro, V Ramayya Ancha… - Journal of …, 2024 - Wiley Online Library
Many operational parameters, either discretely or collectively, can influence the
biodegradation performance towards enhancing biogas yield and quality. Among the …

Integrated deep learning neural network and desirability analysis in biogas plants: A powerful tool to optimize biogas purification

M Mahmoodi-Eshkaftaki, R Ebrahimi - Energy, 2021 - Elsevier
Performing anaerobic digestion is affected by different slurry properties, and its optimization
poses many practical constraints. In high-dimensional input parameters with small sample …

Dynamic optimization of volatile fatty acids to enrich biohydrogen production using a deep learning neural network

M Mahmoodi-Eshkaftaki, G Mockaitis… - Biomass Conversion and …, 2024 - Springer
A new strategy was developed to investigate the effect of volatile fatty acids (VFAs) on
optimizing bio-H2 production and improving the efficiency of biogas production. The seed …