Optimal parameter identification of PEMFC stacks using adaptive sparrow search algorithm

Y Zhu, N Yousefi - International journal of hydrogen energy, 2021 - Elsevier
In this paper, a new optimization algorithm called Adaptive Sparrow Search Algorithm
(ASSA) is proposed for optimal model parameters identification of the proton exchange …

[HTML][HTML] Exergy analysis of a fuel cell power system and optimizing it with Fractional-order Coyote Optimization Algorithm

L Sun, XF Han, YP Xu, N Razmjooy - Energy Reports, 2021 - Elsevier
This study presents an exergy assessment methodology for a power production system
defined by a high-temperature proton exchange membrane fuel cell. The evaluated structure …

An efficient modified artificial electric field algorithm for solving optimization problems and parameter estimation of fuel cell

EH Houssein, FA Hashim, S Ferahtia… - International Journal of …, 2021 - Wiley Online Library
The artificial electric field algorithm (AEFA) is a recent physics population‐based
optimization approach inspired by Coulomb's law of electrostatic force and Newton's law of …

Technical and performance assessments of wind turbines in low wind speed areas using numerical, metaheuristic and remote sensing procedures

AE Akpan, UC Ben, SE Ekwok, CJ Okolie, EE Epuh… - Applied Energy, 2024 - Elsevier
The application of innovative technologies in the manufacture of wind turbines (WT) has
produced more efficient WT that can operate successfully in low wind speed (LWS) …

Optimum parameters extraction of proton exchange membrane fuel cells using Fractional‐Order Whale Optimization Algorithm

X Ren, M Eslami - Energy Science & Engineering, 2022 - Wiley Online Library
This study proposes a novel metaheuristic‐based technique for optimum parameters'
estimation of the proton exchange membrane fuel cells (PEMFCs). To provide better results …

[PDF][PDF] Effective Modeling of Photovoltaic Modules Using Sailfish Optimizer

MB Danoune, A Djafour, Y Rehouma, A Degla… - International Journal of …, 2022 - ajol.info
The current study proposes a novel meta-heuristic technique called sailfish optimizer (SFO)
to design reliable photovoltaic (PV) modeling models. Unlike others, the proposed technique …

Contribution à la modélisation optimale des piles à combustible de type PEM par utilisation des méthodes méta-heuristiques

AZ KOUACHE, R Lakhdar - dspace.univ-ouargla.dz
Récemment, le problème du développement d'un modèle mathématique de haute précision
pour les piles à combustible à échange de protons (PEMFC) a reçu beaucoup d'attention …

A Technical and Economical Assessment of Hydrogen Production Potential from Solar Energy in Adrar, Algeria

MB Danoune, A Djafour, M Hamouda… - … on Energy Transition …, 2023 - ieeexplore.ieee.org
Hydrogen is an attractive fuel if it is produced from renewable energy sources (RES). The
most ecological approache of green hydrogen generation, today, is the water electrolysis …

[PDF][PDF] Exergy Analysis of a Fuel Cell Power System and Optimizing It with Fractional-Order Coyote Optimization Algorithm

N Razmjooy - 2021 - papers.ssrn.com
The present study proposes an exergy evaluation for a power production system defined by
high-temperature proton exchange membrane fuel cell. The evaluated structure has an …

Potential and Economic Viability of Green Hydrogen Production by Water Electrolysis using Solar Energy in Oran, Algeria

MB Danoune, A Djafour, A Hasnaoui… - … on Energy Transition …, 2023 - ieeexplore.ieee.org
The current study investigates the viability of hydrogen production from the solar energy
resources of Oran province (Lat: 35° 42'N, Long: 0° 38'W) in Algeria using accurate monthly …