[HTML][HTML] Advances and challenges in pretreatment technologies for bioethanol production: A comprehensive review

S Jain, S Kumar - Sustainable Chemistry for Climate Action, 2024 - Elsevier
Bioethanol production from biomass is a promising avenue for sustainable energy, yet the
high cost of pretreatment processes poses significant economic challenges. This paper …

[HTML][HTML] Machine learning-driven optimization of Ni-based catalysts for catalytic steam reforming of biomass tar

N Wang, H He, Y Wang, B Xu, J Harding, X Yin… - Energy Conversion and …, 2024 - Elsevier
Biomass gasification is a promising process for producing syngas, which is widely used in
various industrial processes. However, the presence of tar in syngas poses a significant …

Critical insights into ensemble learning with decision trees for the prediction of biochar yield and higher heating value from pyrolysis of biomass

S Kandpal, A Tagade, AN Sawarkar - Bioresource Technology, 2024 - Elsevier
Pyrolysis is an efficient thermochemical conversion process, but accurate prediction of yield
and properties of biochar presents a significant challenge. Three prominent ensemble …

A comprehensive pyrolysis study of sorghum and reed stalk: TG/IR/MS analysis and machine learning-assisted kinetic prediction

J Huang, X Wang, L Song, J Wang - Process Safety and Environmental …, 2024 - Elsevier
This work focused on investigating the pyrolysis characteristics of sorghum stalk (SS) and
reed stalk (RS), whose potentiality as value-added feedstocks for thermochemical …

Machine learning for a sustainable energy future

B Oral, A Coşgun, A Kilic, D Eroglu… - Chemical …, 2025 - pubs.rsc.org
Energy production is one of the key enablers for human activities such as food and clean
water production, transportation, telecommunication, education, and healthcare; however, it …

Co-pyrolysis behaviors and reaction mechanism analyses of coal slime and moso bamboo based on GC/MS and backpropagation neural network

X Ma, H Ning, X Xing, Z Zang - International Journal of Hydrogen Energy, 2025 - Elsevier
The pyrolysis behaviors and gaseous products of coal slime (CS) and moso bamboo (MB)
mixture were investigated by Thermogravimetric analyses, Thermogravimetric-Fourier …

Predictive modeling of membrane reactor efficiency using advanced artificial neural networks for green hydrogen production

M Mahmoudi, A Ghaemi, A Rahbar Kelishami… - Scientific Reports, 2024 - nature.com
The imperative to decarbonize the energy sector has prompted substantial advancements in
clean electricity generation, with hydrogen emerging as a promising low-carbon energy …

Study on the Co-gasification characteristics of biomass and municipal solid waste based on machine learning

J Qi, Y Wang, P Xu, M Hu, T Huhe, X Ling, H Yuan… - Energy, 2024 - Elsevier
Co-gasification of biomass and municipal solid waste (MSW) exhibits synergistic effects by
improving the quality of syngas while reducing environmental pollution from MSW. In this …

[HTML][HTML] Oxidative pyrolysis for enhanced-CO2 adsorption capacity in biosolid-derived biochar

D Kim, SA Hadigheh - Biomass and Bioenergy, 2024 - Elsevier
The study conducts the adsorption kinetic analysis of biosolid-derived biochar produced
from pyrolysis and oxidative pyrolysis. The adsorption kinetic analysis is performed at three …

Enhancing pyrolysis process monitoring and prediction for biomass: A machine learning approach

J Liu, H Lyu, C Cheng, Z Xu, W Zhang - Fuel, 2024 - Elsevier
Biomass pyrolysis presents a viable solution to address the increasing global energy
demand, and substantial efforts have been devoted worldwide to monitoring the conversion …