[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 …
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 …
Co-pyrolysis of lignocellulosic biomass with other carbonaceous materials: A review on advance technologies, synergistic effect, and future prospectus
Due to the continuous rise in population, modernization, and industrialization, the demand
for energy is increasing day by day, resulting in serious issues such as fossil fuel depletion …
for energy is increasing day by day, resulting in serious issues such as fossil fuel depletion …
Applications of artificial intelligence in anaerobic co-digestion: Recent advances and prospects
Anaerobic co-digestion (AcoD) offers several merits such as better digestibility and process
stability while enhancing methane yield due to synergistic effects. Operation of an efficient …
stability while enhancing methane yield due to synergistic effects. Operation of an efficient …
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 …
Hydrogen production optimization from sewage sludge supercritical gasification process using machine learning methods integrated with genetic algorithm
Hydrogen production from the supercritical water gasification (SCWG) of sewage sludge
(SS) is a sustainable and efficient process. However, the challenging and intricate task for …
(SS) is a sustainable and efficient process. However, the challenging and intricate task for …
Multi-variable assessment/optimization of a new two-source multigeneration system integrated with a solid oxide fuel cell
L Tian, Z Zhang, B Salah, M Marefati - Process Safety and Environmental …, 2023 - Elsevier
The integration of renewable energies can improve the thermodynamic performance and
increase the popularity and commercialization of the energy production system. Moreover …
increase the popularity and commercialization of the energy production system. Moreover …
Catalytic pyrolysis of rice husk over defect-rich beta zeolites for biofuel production
Abstract The Coats-Redfern method was used to identify the catalytic and non-catalytic
pyrolysis of rice husk biomass kinetics by using thermogravimetric analysis. MTES-beta …
pyrolysis of rice husk biomass kinetics by using thermogravimetric analysis. MTES-beta …
A renewable and sustainable framework for clean fuel towards circular economy for solid waste generation in leather tanneries
In today's economy, the leather industry is one of the most important manufacturing
industries in the world. Mismanaging solid waste in tanneries is the most significant …
industries in the world. Mismanaging solid waste in tanneries is the most significant …