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 …
[HTML][HTML] Modeling of thermochemical conversion of waste biomass–a comprehensive review
SMHD Perera, C Wickramasinghe… - Biofuel Research …, 2021 - biofueljournal.com
Thermochemical processes, which include pyrolysis, torrefaction, gasification, combustion,
and hydrothermal conversions, are perceived to be more efficient in converting waste …
and hydrothermal conversions, are perceived to be more efficient in converting waste …
Recent advances and future prospects of thermochemical biofuel conversion processes with machine learning
Biofuels have been widely recognized as potential solutions to addressing the climate crisis
and strengthening energy security and sustainability. However, techno-economic and …
and strengthening energy security and sustainability. However, techno-economic and …
Hydrothermal carbonization of organic waste and biomass: a review on process, reactor, and plant modeling
Hydrothermal carbonization (HTC) is an emerging path to give a new life to organic waste
and residual biomass. Fulfilling the principles of the circular economy, through HTC …
and residual biomass. Fulfilling the principles of the circular economy, through HTC …
Multi-task prediction and optimization of hydrochar properties from high-moisture municipal solid waste: Application of machine learning on waste-to-resource
Hydrothermal carbonization (HTC) is a promising technology for valuable resources
recovery from high-moisture wastes without pre-drying, while optimization of operational …
recovery from high-moisture wastes without pre-drying, while optimization of operational …
Wet organic waste treatment via hydrothermal processing: A critical review
There are several recent reviews published in the literature on hydrothermal carbonization,
liquefaction and supercritical water gasification of lignocellulosic biomass and algae. The …
liquefaction and supercritical water gasification of lignocellulosic biomass and algae. The …
Machine learning for sustainable development and applications of biomass and biomass-derived carbonaceous materials in water and agricultural systems: A review
Biomass-derived materials (BDM) have broad applications in water and agricultural
systems. As an emerging tool, Machine learning (ML) has been applied to BDM systems to …
systems. As an emerging tool, Machine learning (ML) has been applied to BDM systems to …
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 …
Applications of artificial intelligence‐based modeling for bioenergy systems: A review
M Liao, Y Yao - GCB Bioenergy, 2021 - Wiley Online Library
Bioenergy is widely considered a sustainable alternative to fossil fuels. However, large‐
scale applications of biomass‐based energy products are limited due to challenges related …
scale applications of biomass‐based energy products are limited due to challenges related …
Machine learning-assisted exploration for carbon neutrality potential of municipal sludge recycling via hydrothermal carbonization
In the context of advocating carbon neutrality, there are new requirements for sustainable
management of municipal sludge (MS). Hydrothermal carbonization (HTC) is a promising …
management of municipal sludge (MS). Hydrothermal carbonization (HTC) is a promising …