A machine learning assisted prediction of potential biochar and its applications in anaerobic digestion for valuable chemicals and energy recovery from organic waste

The utilization of biochar derived from biomass residue to enhance anaerobic digestion (AD) for bioenergy recovery offers a sustainable approach to advance sustainable energy and mitigate climate change. However, conducting comprehensive research on the optimal conditions for AD experiments with bio...

• Hovedforfatter: Zhang, Pengshuai (author)
• Andre forfattere: Zhang, Tengyu (author), Zhang, Jingxin (author), Liu, Huaiyou (author), Chicaiza Ortiz, Cristhian David (author), Lee, Jonathan T. E. (author), He, Yiliang (author), Dai, Yanjun (author), Tong, Yen Wah (author)
• Format: article
• Udgivet: 2024
• Fag: Anaerobic digestion; Biomass-based biochar; Machine learning; Bioenergy recovery
• Online adgang: https://doi.org/10.1007/s43979-023-00078-0; http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/798