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

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

Abstract 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...

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Bibliographic Details
Main Authors: Pengshuai Zhang, Tengyu Zhang, Jingxin Zhang, Huaiyou Liu, Cristhian Chicaiza-Ortiz, Jonathan T. E. Lee, Yiliang He, Yanjun Dai, Yen Wah Tong
Format: Article
Language:English
Published: Springer 2024-01-01
Series:Carbon Neutrality
Subjects:
Anaerobic digestion
Biomass-based biochar
Machine learning
Bioenergy recovery
Online Access:https://doi.org/10.1007/s43979-023-00078-0

Internet

https://doi.org/10.1007/s43979-023-00078-0

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