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

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...

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Bibliografische gegevens
Hoofdauteur: Zhang, Pengshuai (author)
Andere auteurs: 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)
Formaat: article
Gepubliceerd in: 2024
Onderwerpen:
Anaerobic digestion
Biomass-based biochar
Machine learning
Bioenergy recovery
Online toegang:https://doi.org/10.1007/s43979-023-00078-0
http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/798
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https://doi.org/10.1007/s43979-023-00078-0
http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/798

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