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Hydrothermal treatment of biomass feedstocks for sustainable production of chemicals, fuels, and materials: progress and perspectives
Hydrothermal process is an emerging technology that contributes to sustainable production
of biomass-derived chemicals, fuels, and materials. This technology uses hot compressed …
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 …
Recently, machine learning (ML) has been extensively used to predict yields, compositions …
Applications of machine learning in thermochemical conversion of biomass-A review
Thermochemical conversion of biomass has been considered a promising technique to
produce alternative renewable fuel sources for future energy supply. However, these …
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 …
gasification) is a promising technology for biomass valorization. However, diverse variables …
Machine learning predicts and optimizes hydrothermal liquefaction of biomass
The hydrothermal liquefaction process has recently attracted more attention in biorefinery
design and implementation because of its capability of handling various wet biomass …
design and implementation because of its capability of handling various wet biomass …
Environmental life cycle assessment of biomass conversion using hydrothermal technology: A review
Renewable resources such as biomass are essential in increasing energy security and
enabling countries to reduce greenhouse gas emissions. Biomass can be converted into …
enabling countries to reduce greenhouse gas emissions. Biomass can be converted into …
Bioresource upgrade for sustainable energy, environment, and biomedicine
We conceptualize bioresource upgrade for sustainable energy, environment, and
biomedicine with a focus on circular economy, sustainability, and carbon neutrality using …
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
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 …
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
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 …
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
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 …
has been a significant increase in untreated wet waste. This escalation poses a critical …