Optimization of Mesophilic Anaerobic Digestion using Bio-Vegetable Waste for Emerging Pollutant Removal

Vegetable waste is one of the emerging pollutants generated heavily in market areas. Many vegetable wastes are dumped in waste pits as they are unsuitable for animal feed. Consequently, a high amount of waste is generated globally from these sources. Such emerging pollutants must be removed by finding alternative uses. This work using a floating dome anaerobic digester with continuous digestion. Using neural networks (ANN), response sur- face methodology (RSM) and artificial intelligence (AI), the primary goal of the study is to assess and maximize philic temperature of 14.71°C, OLR of 0.27, pH of 6.12 and HRT of 28 days, achieving biogas production of 1.875 m3 and CH, percentage with a desirability of approximately 0.95. When comparing the biogas and methane (CH) experimental values with the predicted ones from ANN and RSM, there is strong agreement between the predicted