Hydrothermal treatment of biomass feedstocks for sustainable production of chemicals, fuels, and materials: progress and perspectives

B Zhang, BK Biswal, J Zhang… - Chemical …, 2023 - ACS Publications
Hydrothermal process is an emerging technology that contributes to sustainable production
of biomass-derived chemicals, fuels, and materials. This technology uses hot compressed …

[HTML][HTML] Machine-learning-aided thermochemical treatment of biomass: a review

H Li, J Chen, W Zhang, H Zhan, C He… - Biofuel Research …, 2023 - biofueljournal.com
Thermochemical treatment is a promising technique for biomass disposal and valorization.
Recently, machine learning (ML) has been extensively used to predict yields, compositions …

Applications of machine learning in thermochemical conversion of biomass-A review

SR Naqvi, Z Ullah, SAA Taqvi, MNA Khan, W Farooq… - Fuel, 2023 - Elsevier
Thermochemical conversion of biomass has been considered a promising technique to
produce alternative renewable fuel sources for future energy supply. However, these …

Machine learning for hydrothermal treatment of biomass: A review

W Zhang, Q Chen, J Chen, D Xu, H Zhan, H Peng… - Bioresource …, 2023 - Elsevier
Abstract Hydrothermal treatment (HTT)(ie, hydrothermal carbonization, liquefaction, and
gasification) is a promising technology for biomass valorization. However, diverse variables …

Machine learning predicts and optimizes hydrothermal liquefaction of biomass

A Shafizadeh, H Shahbeig, MH Nadian, H Mobli… - Chemical Engineering …, 2022 - Elsevier
The hydrothermal liquefaction process has recently attracted more attention in biorefinery
design and implementation because of its capability of handling various wet biomass …

Environmental life cycle assessment of biomass conversion using hydrothermal technology: A review

F Hussin, NN Hazani, M Khalil, MK Aroua - Fuel Processing Technology, 2023 - Elsevier
Renewable resources such as biomass are essential in increasing energy security and
enabling countries to reduce greenhouse gas emissions. Biomass can be converted into …

Bioresource upgrade for sustainable energy, environment, and biomedicine

F Li, Y Li, KS Novoselov, F Liang, J Meng, SH Ho… - Nano-Micro Letters, 2023 - Springer
We conceptualize bioresource upgrade for sustainable energy, environment, and
biomedicine with a focus on circular economy, sustainability, and carbon neutrality using …

A review of computational modeling techniques for wet waste valorization: Research trends and future perspectives

J Li, M Suvarna, L Li, L Pan, J Pérez-Ramírez… - Journal of Cleaner …, 2022 - Elsevier
The conversion of wet waste (eg, food waste, sewage sludge, and animal manure) into
bioenergy is a promising strategy for sustainable energy generation and waste …

Comparative study of machine learning methods integrated with genetic algorithm and particle swarm optimization for bio-char yield prediction

ZU Haq, H Ullah, MNA Khan, SR Naqvi, A Ahad… - Bioresource …, 2022 - Elsevier
In this study, Machine learning (ML) models integrated with genetic algorithm (GA) and
particle swarm optimization (PSO) have been developed to predict, evaluate, and analyze …

Advancing sustainable development goals with machine learning and optimization for wet waste biomass to renewable energy conversion

S Zhu, N Preuss, F You - Journal of Cleaner Production, 2023 - Elsevier
With the rapid surge in global population, urbanization, and improved living standards, there
has been a significant increase in untreated wet waste. This escalation poses a critical …