Fueling the future: A comprehensive review of hydrogen energy systems and their challenges
This comprehensive study assesses the current state of the hydrogen energy system and
investigates its potential to transform the global energy landscape while addressing …
investigates its potential to transform the global energy landscape while addressing …
Recent progress in flexible Zn‐ion hybrid supercapacitors: Fundamentals, fabrication designs, and applications
One of the most exciting new developments in energy storage technology is flexible Zn‐ion
hybrid supercapacitors (f‐ZIHSCs), which combine the high energy of Zn‐ion batteries with …
hybrid supercapacitors (f‐ZIHSCs), which combine the high energy of Zn‐ion batteries with …
Modified honey badger algorithm based global MPPT for triple-junction solar photovoltaic system under partial shading condition and global optimization
In the recent era, Metaheuristic Algorithms (MHs) are developed to tackle many and different
optimization problems. The merit of the MHs is not only its simplicity to understand but also …
optimization problems. The merit of the MHs is not only its simplicity to understand but also …
Comparative analysis on parametric estimation of a PEM fuel cell using metaheuristics algorithms
One of the primary issues in the modelling of fuel cell is the determination of specific
boundary conditions often deduced from the manufacturer of the fuel cell. Realistically, not …
boundary conditions often deduced from the manufacturer of the fuel cell. Realistically, not …
Red-tailed hawk algorithm for numerical optimization and real-world problems
This study suggests a new nature-inspired metaheuristic optimization algorithm called the
red-tailed hawk algorithm (RTH). As a predator, the red-tailed hawk has a hunting strategy …
red-tailed hawk algorithm (RTH). As a predator, the red-tailed hawk has a hunting strategy …
Gradient-based optimizer (gbo): a review, theory, variants, and applications
This paper introduces a comprehensive survey of a new population-based algorithm so-
called gradient-based optimizer (GBO) and analyzes its major features. GBO considers as …
called gradient-based optimizer (GBO) and analyzes its major features. GBO considers as …
Emerging technologies in prognostics for fuel cells including direct hydrocarbon fuel cells
S Ong, A Al-Othman, M Tawalbeh - Energy, 2023 - Elsevier
Fuel cells have been regarded as promising power sources for cleaner energy production.
Despite their high theoretical efficiency, fuel cells are still challenged with their durability …
Despite their high theoretical efficiency, fuel cells are still challenged with their durability …
An innovative approach for mathematical modeling and parameter estimation of PEM fuel cells based on iterative Lambert W function
In the literature, identifying the parameters of proton exchange membrane fuel cells
(PEMFCs) relies on minimizing the difference between measured and simulated voltage …
(PEMFCs) relies on minimizing the difference between measured and simulated voltage …
Attack-defense strategy assisted osprey optimization algorithm for PEMFC parameters identification
Y Yuan, Q Yang, J Ren, X Mu, Z Wang, Q Shen… - Renewable Energy, 2024 - Elsevier
The electrochemical parameter identification of Proton-exchange membrane fuel cells
(PEMFCs) is a highly nonlinear optimization problem. In this study, a new optimization …
(PEMFCs) is a highly nonlinear optimization problem. In this study, a new optimization …
Experimental study on the thermal management of an open-cathode air-cooled proton exchange membrane fuel cell stack with ultra-thin metal bipolar plates
Reliable thermal management ensures stable and efficient operation of proton exchange
membrane (PEM) fuel cells. An air-cooled fuel cell stack with metal bipolar plates was …
membrane (PEM) fuel cells. An air-cooled fuel cell stack with metal bipolar plates was …