[HTML][HTML] Recent advancements and challenges in emerging applications of biochar-based catalysts

X Yuan, Y Cao, J Li, AK Patel, CD Dong, X **… - Biotechnology …, 2023 - Elsevier
The sustainable utilization of biochar produced from biomass waste could substantially
promote the development of carbon neutrality and a circular economy. Due to their cost …

Biochar production and its environmental applications: recent developments and machine learning insights

KV Supraja, H Kachroo, G Viswanathan… - Bioresource …, 2023 - Elsevier
Biochar production through thermochemical processing is a sustainable biomass
conversion and waste management approach. However, commercializing biochar faces …

Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production

A Shafizadeh, H Shahbeik, S Rafiee, A Moradi… - Fuel, 2023 - Elsevier
Hydrothermal carbonization (HTC) is a process that converts biomass into versatile
hydrochar without the need for prior drying. The physicochemical properties of hydrochar …

Machine learning to predict the production of bio-oil, biogas, and biochar by pyrolysis of biomass: a review

K Khandelwal, S Nanda, AK Dalai - Environmental Chemistry Letters, 2024 - Springer
The world energy consumption has increased by+ 195% since 1970 with more than 80% of
the energy mix originating from fossil fuels, thus leading to pollution and global warming …

Machine learning and computational chemistry to improve biochar fertilizers: a review

AI Osman, Y Zhang, ZY Lai, AK Rashwan… - Environmental …, 2023 - Springer
Traditional fertilizers are highly inefficient, with a major loss of nutrients and associated
pollution. Alternatively, biochar loaded with phosphorous is a sustainable fertilizer that …

Agricultural biomass waste to biochar: A review on biochar applications using machine learning approach and circular economy

P Rex, KR Mohammed Ismail… - ChemEngineering, 2023 - mdpi.com
Biochar has gained attention as an alternative source of solid energy and for the proper
disposal of agricultural biomass waste (ABW). Microwave-assisted pyrolysis (MAP) is a …

[HTML][HTML] Effect of pyrolysis temperature on the physiochemical properties of biochar and its potential use in anaerobic digestion: a critical review

MJ Bardi, JM Mutunga, H Ndiritu, K Koch - Environmental Technology & …, 2023 - Elsevier
A comprehensive study was conducted to assess the influence of pyrolysis temperature
(PyT) on the properties of biochar (BC) and its potential application in anaerobic digestion …

Machine learning prediction of biochar physicochemical properties based on biomass characteristics and pyrolysis conditions

Y Song, Z Huang, M **, Z Liu, X Wang, C Hou… - Journal of Analytical and …, 2024 - Elsevier
Pyrolyzing waste biomass into functionalized biochar is aligned with the concept of the
circular economy. The physicochemical properties of biochar are influenced by the type of …

Machine learning applications for biochar studies: A mini-review

W Wang, JS Chang, DJ Lee - Bioresource technology, 2024 - Elsevier
Biochar is a promising carbon sink whose application can assist in reducing carbon
emissions. Development of this technology currently relies on experimental trials, which are …

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 …