Facilitating renewable natural gas production for a circular bioeconomy: AI-Driven process visualization and data augmentation on biochar-mediated anaerobic digestion

[Display omitted] •AI-driven full-process prediction methodology was developed to guide biochar design for enhancing natural gas production.•The XGBR model achieved superior predictive accuracy for biochar-mediated AD.•Electrical conductivity, oxygen content, and specific surface area were identifie...

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Vydané v:	Chemical engineering journal (Lausanne, Switzerland : 1996) Ročník 516; s. 164179
Hlavní autori:	He, Xiaoman, Guo, Jingyuan, Kang, Xihui, Ning, Xue, Chen, Huichao, Liang, Daolun, Deng, Chen, Li, Zutan, Shen, Dekui, Zhang, Huiyan, Lin, Richen, Murphy, Jerry D.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 15.07.2025
Predmet:	Biochar-mediated anaerobic digestion Circular bioeconomy Data augmentation Machine learning Renewable natural gas Renewable natural gas Data augmentation Biochar-mediated anaerobic digestion Circular bioeconomy Machine learning
ISSN:	1385-8947
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