Techno-economic and environmental impact assessment of hydrogen production processes using bio-waste as renewable energy resource
There is a wide spectrum of biological wastes, from which H 2 production can generate
clean energy while minimizing environmental degradation. This study aims to conduct …
clean energy while minimizing environmental degradation. This study aims to conduct …
The role of machine learning to boost the bioenergy and biofuels conversion
The development and application of bioenergy and biofuels conversion technology can play
a significant role for the production of renewable and sustainable energy sources in the …
a significant role for the production of renewable and sustainable energy sources in the …
Machine learning modeling and analysis of biohydrogen production from wastewater by dark fermentation process
Dark fermentation process for simultaneous wastewater treatment and H 2 production is
gaining attention. This study aimed to use machine learning (ML) procedures to model and …
gaining attention. This study aimed to use machine learning (ML) procedures to model and …
Janus membranes for membrane distillation: Recent advances and challenges
Membrane distillation (MD) is a promising hybrid thermal-membrane separation technology
that can efficiently produce freshwater from seawater or contaminated wastewater. However …
that can efficiently produce freshwater from seawater or contaminated wastewater. However …
Comparison of LSSVM and RSM in simulating the removal of ciprofloxacin from aqueous solutions using magnetization of functionalized multi-walled carbon …
This inquiry focuses on acquiring empirical models to predict ciprofloxacin removal using
magnetization of functionalized multi-walled carbon nanotubes (FMWCNTs-Fe 3 O 4) from …
magnetization of functionalized multi-walled carbon nanotubes (FMWCNTs-Fe 3 O 4) from …
Recent advances in artificial neural network research for modeling hydrogen production processes
Abstract Artificial Neural Networks (ANN) have been widely used by scientists in a variety of
energy modes (biomass, wind, solar, geothermal, and hydroelectric). This review highlights …
energy modes (biomass, wind, solar, geothermal, and hydroelectric). This review highlights …
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 …
High efficiency in-situ biogas upgrading in a bioelectrochemical system with low energy input
Biogas produced from anaerobic digestion usually contains 30%-50% CO 2, much of which
must be removed, before utilization. Bioelectrochemical biogas upgrading approaches show …
must be removed, before utilization. Bioelectrochemical biogas upgrading approaches show …
Application of machine learning algorithms in predicting the photocatalytic degradation of perfluorooctanoic acid
AH Navidpour, A Hosseinzadeh, Z Huang, D Li… - Catalysis …, 2024 - Taylor & Francis
Perfluorooctanoic acid (PFOA) is used in a variety of industries and is highly persistent in the
environment, with potential human health risks. Photocatalysis has been extensively used …
environment, with potential human health risks. Photocatalysis has been extensively used …
A review of hydrogen production from bio-energy, technologies and assessments
Q Hassan, SA Hafedh, HB Mohammed… - Energy Harvesting and …, 2024 - degruyter.com
The earth natural carrying capacity is being surpassed, and there is an urgent need to
develop new alternatives, notably in regards to energy supplies, carbon dioxide emissions …
develop new alternatives, notably in regards to energy supplies, carbon dioxide emissions …