A critical review on environmental impacts of renewable energy systems and mitigation strategies: Wind, hydro, biomass and geothermal
The annual growth of global energy demand and the associated environmental impacts
(EIs) has an important role in the large sustainable and green global energy transition …
(EIs) has an important role in the large sustainable and green global energy transition …
Application of artificial intelligence for prediction, optimization, and control of thermal energy storage systems
Energy storage is one of the core concepts demonstrated incredibly remarkable
effectiveness in various energy systems. Energy storage systems are vital for maximizing the …
effectiveness in various energy systems. Energy storage systems are vital for maximizing the …
Production of biofuels from biomass: Predicting the energy employing artificial intelligence modelling
Bioenergy may be a major replacement of fossil fuels which can make the path easier for
sustainable development and decrease the dependency on conventional sources of energy …
sustainable development and decrease the dependency on conventional sources of energy …
Boosting the output power of PEM fuel cells by identifying best-operating conditions
Voltage, as well as current from proton exchange membrane fuel cells (PEMFCs), is reliant
on various working and structural parameters, such as operating pressure, temperature …
on various working and structural parameters, such as operating pressure, temperature …
Optimal adaptive fuzzy management strategy for fuel cell-based DC microgrid
This study presents an optimal adaptive intelligent energy management strategy designed
for a DC microgrid based on a fuel cell system (FC), photovoltaic array (PV), and battery …
for a DC microgrid based on a fuel cell system (FC), photovoltaic array (PV), and battery …
Optimal operating parameter determination based on fuzzy logic modeling and marine predators algorithm approaches to improve the methane production via …
The current study is related to optimizing methane production from steam gasification of
palm kernel shell (PKS) utilizing coal bottom ash as a catalyst. Based on the experimental …
palm kernel shell (PKS) utilizing coal bottom ash as a catalyst. Based on the experimental …
[HTML][HTML] Boosting carbon dioxide adsorption capacity applying Jellyfish optimization and ANFIS-based modelling
Carbon capture and storage (CCS) are essential for controlling global warming. Among the
different CCS technologies, adsorption using amines is promising and applied on an …
different CCS technologies, adsorption using amines is promising and applied on an …
Modeling of sugarcane bagasse conversion to levulinic acid using response surface methodology (RSM), artificial neural networks (ANN), and fuzzy inference system …
Levulinic acid is recognized as a prominent value-added chemical that can be obtained from
bioresources and has versatile industrial applications. This work reports bioprocess …
bioresources and has versatile industrial applications. This work reports bioprocess …
[HTML][HTML] Improved prediction of biomass gasification models through machine learning
Gasification of lignocellulosic biomass can be used to produce syngas used as a biorefinery
feedstock. To facilitate the commercialisation of the gasification process, models are used to …
feedstock. To facilitate the commercialisation of the gasification process, models are used to …
Application of artificial intelligence to improve the thermal energy and exergy of nanofluid-based PV thermal/nano-enhanced phase change material
Photovoltaic-thermal (PVT) technologies have demonstrated several attractive features,
such as higher power and comparative efficiencies. Improving the thermal recovery from the …
such as higher power and comparative efficiencies. Improving the thermal recovery from the …