What question did this study set out to answer?

The aim is to optimize bio-methane production from food waste using an artificial neural network model.

June 21, 2026Next SustainabilityOpen Access

Optimizing bio-methane production from food waste using artificial neural network for sustainable energy transition and economic feasibility

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Randomized trial explores bio-methane production in food waste, suggesting an eco-friendly energy alternative.

The aim is to optimize bio-methane production from food waste using an artificial neural network model.
Utilized a floating drum anaerobic digester for processing food waste with various substrates.
Analyzed the effects of key parameters like temperature, pH, and C/N ratio on methane yield.
Developed an artificial neural network model to predict optimal biogas and bio-methane productivity.
Achieved 97% biogas production efficiency.
Production rates for biogas were 2.19, 2.85, and 1.85 times lower than LPG, CNG, and LNG respectively.
High accuracy with methane yield errors: MAE 0.0088, MSE 0.00033, RMSE 0.01.

Das et al. (2026) studied this question.

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