Machine learning-aided unveiling the relationship between chemical pretreatment and methane production of lignocellulosic waste

• Published in: Waste management (Elmsford) Vol. 187; pp. 235 - 243
• Main Authors: Song, Chao, Zhang, Zhijing, Wang, Xuefeng, Hu, Xuejun, Chen, Chang, Liu, Guangqing
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.10.2024
• Subjects: Anaerobic digestion; biogas; Chemical pretreatment; digestion; feedstocks; hydrogen peroxide; lignin content; lignocellulosic wastes; Machine learning model; methane production; Methane yield prediction; waste management; Chemical pretreatment; Machine learning model; Anaerobic digestion; Methane yield prediction

[Display omitted] •Machine learning model could predict methane yield of pretreated LW accurately.•Digestion time, pretreatment agent and pretreatment agent were crucial factors.•NaOH, KOH and AHP pretreatments were suitable for LW with low lignin content.•LW with high lignin content preferred AHP p...