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 …
Biomass driven polygeneration systems: A review of recent progress and future prospects
Biomass is the most widely used renewable energy source which is highly appreciated due
to its high availability and non-intermittent nature. Considering problems such as reduction …
to its high availability and non-intermittent nature. Considering problems such as reduction …
Dynamic simulation and lifecycle assessment of hydrogen fuel cell electric vehicles considering various hydrogen production methods
In this research study, a real model of a hydrogen fuel cell vehicle is simulated using
Simcenter Amesim software. The software used for vehicle simulation enabled dynamic …
Simcenter Amesim software. The software used for vehicle simulation enabled dynamic …
Transient optimization of a new solar-wind multi-generation system for hydrogen production, desalination, clean electricity, heating, cooling, and energy storage using …
In the current study, a renewable system with two potential wind and solar energies for
electricity production, cooling, and heating has been investigated. The proposed system …
electricity production, cooling, and heating has been investigated. The proposed system …
Design and evaluation of a novel plan for thermochemical cycles and PEM fuel cells to produce hydrogen and power: Application of environmental perspective
D Yu, C Duan, B Gu - Chemosphere, 2023 - Elsevier
In the present article, a green and efficient multi-generation system equipped with proton
exchange membrane (PEM) fuel cells as the main mover is presented and thoroughly …
exchange membrane (PEM) fuel cells as the main mover is presented and thoroughly …
Exergoeconomic and optimization study of a solar and wind-driven plant employing machine learning approaches; a case study of Las Vegas city
High reliance on conventional fuels and existing freshwater resources is unviable in the long
run. A multi-generation system primed with a parabolic trough solar collector and a wind …
run. A multi-generation system primed with a parabolic trough solar collector and a wind …
Energy, exergy, exergoeconomic and exergoenvironmental analyses of a hybrid renewable energy system with hydrogen fuel cells
In this study, the energy, exergy, exergoeconomic and exergoenvironmental (4E) analyses
of a cogeneration system that combines photovoltaic thermal panels (PV/T), evacuated tube …
of a cogeneration system that combines photovoltaic thermal panels (PV/T), evacuated tube …
Energy, exergy, exergoeconomic, and exergoenvironmental (4E) analysis of a new bio-waste driven multigeneration system for power, heating, hydrogen, and …
Today, the world is facing numerous challenges such as the increasing demand for energy,
fossil fuels reduction, the growth of atmospheric pollutants, and the water crisis. In the …
fossil fuels reduction, the growth of atmospheric pollutants, and the water crisis. In the …
A sustainable optimal biomass waste-driven CCHP system to boost the nearly zero energy building concept
The aim of this work is focused on design of a sustainable tri-generation system driven by a
biomass (MSW: municipal solid waste) externally-fired gas turbine cycle and utilizing a …
biomass (MSW: municipal solid waste) externally-fired gas turbine cycle and utilizing a …
New optimized configuration for a hybrid PVT solar/electrolyzer/absorption chiller system utilizing the response surface method as a machine learning technique and …
The presented study examined the multigenerational power, cooling, heating, and hydrogen
systems in coastal areas using thermodynamic and economic modeling and multiobjective …
systems in coastal areas using thermodynamic and economic modeling and multiobjective …