Hydrogen-rich syngas production from the lignocellulosic biomass by catalytic gasification: A state of art review on advance technologies, economic challenges, and …
Global population growth, modernization, and industrialization have all significantly
increased energy consumption, which has worsened the climate and led to greenhouse gas …
increased energy consumption, which has worsened the climate and led to greenhouse gas …
Advances in machine learning technology for sustainable biofuel production systems in lignocellulosic biorefineries
In view of the global climate change concerns, the society is approaching towards the
development of 'green'and renewable energies for sustainable future. The non-renewable …
development of 'green'and renewable energies for sustainable future. The non-renewable …
State-of-the-art and future directions of machine learning for biomass characterization and for sustainable biorefinery
Abstract Machine learning (ML) has emerged as a significant tool in the field of biorefinery,
offering the capability to analyze and predict complex processes with efficiency. This article …
offering the capability to analyze and predict complex processes with efficiency. This article …
Machine learning in biohydrogen production: a review
Biohydrogen is emerging as a promising carbon-neutral and sustainable energy carrier with
high energy yield to replace conventional fossil fuels. However, biohydrogen commercial …
high energy yield to replace conventional fossil fuels. However, biohydrogen commercial …
Comparing hydrogen fuel cost of production from various sources-a competitive analysis
The world's fossil fuel supplies are being depleted at an accelerated rate, and the demand
for these resources is only growing. In addition, fossil fuels which provide 80% of the world's …
for these resources is only growing. In addition, fossil fuels which provide 80% of the world's …
Value addition through biohydrogen production and integrated processes from hydrothermal pretreatment of lignocellulosic biomass
G Mohanakrishna, JA Modestra - Bioresource Technology, 2023 - Elsevier
Bioenergy production is the most sought-after topics at the crunch of energy demand,
climate change and waste generation. In view of this, lignocellulosic biomass (LCB) rich in …
climate change and waste generation. In view of this, lignocellulosic biomass (LCB) rich in …
A comprehensive review on food waste anaerobic co-digestion: Research progress and tendencies
K Liu, L Lv, W Li, Z Ren, P Wang, X Liu, W Gao… - Science of the Total …, 2023 - Elsevier
Food waste (FW) anaerobic digestion systems are prone to imbalance during long-term
operation, and the imbalance mechanism is complex. Anaerobic co-digestion (AcoD) of FW …
operation, and the imbalance mechanism is complex. Anaerobic co-digestion (AcoD) of FW …
Machine learning in fermentative biohydrogen production: advantages, challenges, and applications
Hydrogen can be produced in an environmentally friendly manner through biological
processes using a variety of organic waste and biomass as feedstock. However, the …
processes using a variety of organic waste and biomass as feedstock. However, the …
Organic catalysts for hydrogen production from noodle wastewater: Machine learning and deep learning-based analysis
Hydrogen production from the electrolysis of wastewater is an environmentally friendly and
highly efficient process. The performance of this process for instant noodle wastewater is …
highly efficient process. The performance of this process for instant noodle wastewater is …
[HTML][HTML] A review on modelling of thermochemical processing of biomass for biofuels and prospects of artificial intelligence-enhanced approaches
Biofuels from lignocellulosic biomass converted via thermochemical technologies can be
renewable and sustainable, which makes them promising as alternatives to conventional …
renewable and sustainable, which makes them promising as alternatives to conventional …