Insights into the mechanism of persulfate activation with biochar composite loaded with Fe for 2,4-dinitrotoluene degradation DOI
Xiaodong Li, Huizhen Cao, Yuan Cao

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 341, P. 117955 - 117955

Published: May 4, 2023

Language: Английский

Biochar application in anaerobic digestion: Performances, mechanisms, environmental assessment and circular economy DOI
Le Chen, Wei Fang, Jinsong Liang

et al.

Resources Conservation and Recycling, Journal Year: 2022, Volume and Issue: 188, P. 106720 - 106720

Published: Oct. 28, 2022

Language: Английский

Citations

95
Functional biochar in enhanced anaerobic digestion: Synthesis, performances, and mechanisms DOI

Wenkai Nie,

Shanying He,

Yan Lin

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 906, P. 167681 - 167681

Published: Oct. 14, 2023

Language: Английский

Citations

53
Tree-based machine learning model for visualizing complex relationships between biochar properties and anaerobic digestion DOI
Yi Zhang,

Yijing Feng,

Zhonghao Ren

et al.

Bioresource Technology, Journal Year: 2023, Volume and Issue: 374, P. 128746 - 128746

Published: Feb. 20, 2023

Language: Английский

Citations

47
Comparation of mesophilic and thermophilic anaerobic co-digestion of food waste and waste activated sludge driven by biochar derived from kitchen waste DOI
Rong Zhang, Min Zhang,

Huaqian Mou

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 408, P. 137123 - 137123

Published: April 10, 2023

Language: Английский

Citations

45
Recent advances in effect of biochar on fermentative hydrogen production: Performance and mechanisms DOI

Tianru Lou,

Yanan Yin, Jianlong Wang

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 57, P. 315 - 327

Published: Jan. 9, 2024

Language: Английский

Citations

23
Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy DOI
Van Giao Nguyen, Prabhakar Sharma, Ümit Ağbulut

et al.

Biofuels Bioproducts and Biorefining, Journal Year: 2024, Volume and Issue: 18(2), P. 567 - 593

Published: Feb. 5, 2024

Abstract Biochar is emerging as a potential solution for biomass conversion to meet the ever increasing demand sustainable energy. Efficient management systems are needed in order exploit fully of biochar. Modern machine learning (ML) techniques, and particular ensemble approaches explainable AI methods, valuable forecasting properties efficiency biochar properly. Machine‐learning‐based forecasts, optimization, feature selection critical improving techniques. In this research, we explore influences these techniques on accurate yield range sources. We emphasize importance interpretability model, improves human comprehension trust ML predictions. Sensitivity analysis shown be an effective technique finding crucial characteristics that influence synthesis Precision prognostics have far‐reaching ramifications, influencing industries such logistics, technologies, successful use renewable These advances can make substantial contribution greener future encourage development circular biobased economy. This work emphasizes using sophisticated data‐driven methodologies synthesis, usher ecologically friendly energy solutions. breakthroughs hold key more environmentally future.

Language: Английский

Citations

23
Machine learning insights in predicting heavy metals interaction with biochar DOI Creative Commons
Xin Wei, Yang Liu, Lin Shen

et al.

Biochar, Journal Year: 2024, Volume and Issue: 6(1)

Published: Jan. 25, 2024

Abstract The use of machine learning (ML) in the field predicting heavy metals interaction with biochar is a promising research, mainly because growing understanding how removal efficiency affected by characteristic variables, reaction conditions and properties. practical application still faces large challenges, such as difficulties data collection, inadequate algorithm development, insufficient information. However, quantity, quality, representation have impact on accuracy, efficiency, generalizability tasks. From this perspective, present descriptors, learning-aided property performance prediction, interpretation underlying mechanisms complicated relationships, some potential ways to augment are discussed regarding interactions biochar. Finally, future perspectives challenges discussed, an enhanced model proposed reinforce feasibility particular perspective. Graphical

Language: Английский

Citations

21
Understanding of the potential role of carbon dots in promoting interspecies electron transfer process in anaerobic co-digestion under magnetic field: Focusing on methane and hydrogen production DOI
Yangyang Gao, Sining Yun, Kaijun Wang

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 489, P. 151381 - 151381

Published: April 16, 2024

Language: Английский

Citations

19
Leaf-based biochar: A review of thermochemical conversion techniques and properties DOI
Adewale George Adeniyi, Kingsley O. Iwuozor, Ebuka Chizitere Emenike

et al.

Journal of Analytical and Applied Pyrolysis, Journal Year: 2024, Volume and Issue: 177, P. 106352 - 106352

Published: Jan. 1, 2024

Language: Английский

Citations

17
Mechanisms, performance, and the impact on microbial structure of direct interspecies electron transfer for enhancing anaerobic digestion-A review DOI

Likui Feng,

Shufei He,

Zhelu Gao

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 862, P. 160813 - 160813

Published: Dec. 9, 2022

Language: Английский

Citations

65