Biomass to biofuels using hydrothermal liquefaction: A comprehensive review
The utilization of renewable fuel alternatives holds promise for reducing the financial burden
of regulatory compliance and the social responsibility associated with greenhouse gas …
of regulatory compliance and the social responsibility associated with greenhouse gas …
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 …
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 …
design and implementation because of its capability of handling various wet biomass …
Biofuel production by hydro-thermal liquefaction of municipal solid waste: Process characterization and optimization
D Yu, J Guo, J Meng, T Sun - Chemosphere, 2023 - Elsevier
The significant growth of the global population, as well as the increase in energy demand
and the limitations of energy generation from fossil fuels, have become a serious challenge …
and the limitations of energy generation from fossil fuels, have become a serious challenge …
Machine learning prediction and optimization of bio-oil production from hydrothermal liquefaction of algae
W Zhang, J Li, T Liu, S Leng, L Yang, H Peng… - Bioresource …, 2021 - Elsevier
Hydrothermal liquefaction (HTL) of algae is a promising biofuel production technology.
However, it is always difficult and time-consuming to identify the best optimal conditions of …
However, it is always difficult and time-consuming to identify the best optimal conditions of …
Machine learning aided bio-oil production with high energy recovery and low nitrogen content from hydrothermal liquefaction of biomass with experiment verification
Hydrothermal liquefaction (HTL) of biomass with high moisture (eg, algae, sludge, manure,
and food waste) is a promising and sustainable approach to produce renewable energy (bio …
and food waste) is a promising and sustainable approach to produce renewable energy (bio …
Machine learning prediction of biocrude yields and higher heating values from hydrothermal liquefaction of wet biomass and wastes
T Katongtung, T Onsree, N Tippayawong - Bioresource Technology, 2022 - Elsevier
Abstract Machine learning (ML) approach was applied for the prediction of biocrude yields
(BY) and higher heating values (HHV) from hydrothermal liquefaction (HTL) of wet biomass …
(BY) and higher heating values (HHV) from hydrothermal liquefaction (HTL) of wet biomass …
A comprehensive review of thermogravimetric analysis in lignocellulosic and algal biomass gasification
Global concern about energy security, climate change, and increasing wastes have
propelled the utilization of waste-to-energy technologies. Gasification is a robust …
propelled the utilization of waste-to-energy technologies. Gasification is a robust …
Interpretable machine-learning model with a collaborative game approach to predict yields and higher heating value of torrefied biomass
Torrefaction is a treatment process for converting biomass to high-quality solid fuels. The
investigation and interpretation of this process on highly dimensional, non-linear …
investigation and interpretation of this process on highly dimensional, non-linear …
Data-Driven Based In-Depth Interpretation and Inverse Design of Anaerobic Digestion for CH4-Rich Biogas Production
Anaerobic digestion (AD) is one of the most widely used bioconversion technologies for
renewable energy production from wet biowaste. However, such an AD system is so …
renewable energy production from wet biowaste. However, such an AD system is so …