Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy

Giao Van Nguyen; Prabhakar Sharma; Ümit Ağbulut; Huu Son Le; Thanh Hai Truong; Marek Dzida; Minh Ho Tran; Huu Cuong Le; Viet Dung Tran

doi:10.1002/bbb.2596

Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy

Abstract

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

Citations

1

CrossRef
0

Web of Science
2

Scopus

Authors (9)

Giao Van Nguyen
- HUTECH University
Prabhakar Sharma
- Delhi Skill and Entrepreneurship University
Ümit Ağbulut
- Düzce University, Turkey
Huu Son Le
- Van Lang University, Vietnam
Thanh Hai Truong
- Ho Chi Minh City University of Transport, Vietnam
Marek Dzida dr hab. inż.
Minh Ho Tran
- Dong A University, Danang, Vietnam
Huu Cuong Le
- Ho Chi Minh City University of Transport
Viet Dung Tran
- Ho Chi Minh City University of Transport

Cite as

Full text

full text is not available in portal

full content of the article see on external site open in new tab

Keywords

Details

Category:

Articles

Type:

artykuły w czasopismach dostępnych w wersji elektronicznej [także online]

Published in:

Biofuels Bioproducts & Biorefining-Biofpr pages 567 - 593,
ISSN: 1932-104X

Language:

English

Publication year:

2024

Bibliographic description:

Nguyen V. B., Sharma P., Ağbulut Ü., Le H. S., Truong T. H., Dzida M., Tran M. H., Le H. C., Tran V. D., Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy, Biofuels Bioproducts & Biorefining-Biofpr, 2024,10.1002/bbb.2596

DOI: