The colorful economics of hydrogen: Assessing the costs and viability of different hydrogen production methods-A review
Increasing greenhouse gas emissions and the increase in renewable energy sources in
electricity generation have led to an increasing interest in hydrogen in recent years. As an …
electricity generation have led to an increasing interest in hydrogen in recent years. As an …
Parameter characterization of PEM fuel cell mathematical models using an orthogonal learning-based GOOSE algorithm
P Manoharan, S Ravichandran, S Kavitha… - Scientific Reports, 2024 - nature.com
In this paper, a new method is designed to effectively determine the parameters of proton
exchange membrane fuel cells (PEMFCs), ie, ξ 1, ξ 2, ξ 3, ξ 4, RC, λ, and b. The fuel cells …
exchange membrane fuel cells (PEMFCs), ie, ξ 1, ξ 2, ξ 3, ξ 4, RC, λ, and b. The fuel cells …
Reliable exponential distribution optimizer-based methodology for modeling proton exchange membrane fuel cells at different conditions
Establishing a precise model for proton exchange membrane fuel cell (PEMFC) is vital to
simulate, manage, control, and estimate the optimal parameters accurately. However, the …
simulate, manage, control, and estimate the optimal parameters accurately. However, the …
Integrating the Opposition Nelder–Mead Algorithm into the Selection Phase of the Genetic Algorithm for Enhanced Optimization
In this paper, we propose a novel methodology that combines the opposition Nelder–Mead
algorithm and the selection phase of the genetic algorithm. This integration aims to enhance …
algorithm and the selection phase of the genetic algorithm. This integration aims to enhance …
Hydrogen storage in activated carbon for fuel cell-powered vehicles: A cost-effective and sustainable approach
All the major economies across the globe have been working towards achieving a
commercial viability of fuel cell-powered (FCV) and hybrid electric vehicles (HEV) amid …
commercial viability of fuel cell-powered (FCV) and hybrid electric vehicles (HEV) amid …
A robust multi-objective optimization algorithm for accurate parameter estimation for solar cell models
The accuracy of solar cell models is crucial for enhancing the performance of solar
photovoltaic (PV) systems. However, existing solar cell models lack precise parameters, and …
photovoltaic (PV) systems. However, existing solar cell models lack precise parameters, and …
Parametric Optimization of Proton Exchange Membrane Fuel Cell Using Chaotic Swarm Intelligence Technique
The proton exchange membrane fuel cell (PEMFC) converts chemical energy into electricity
without pollution or noise. PEMFC has a stable electrolyte, reliable, fast start‐up, and …
without pollution or noise. PEMFC has a stable electrolyte, reliable, fast start‐up, and …
[HTML][HTML] A multi-model evaluation of Enhanced Tunicate Swarm Optimization for parameter identification
Parameter identification for a proton exchange membrane fuel cell (PEMFC) entails
employing optimisation techniques to discover the best unknown parameter values required …
employing optimisation techniques to discover the best unknown parameter values required …
A modified particle swarm optimization rat search algorithm and its engineering application
Solar energy generation requires photovoltaic (PV) systems to be optimised, regulated, and
simulated with efficiency. The performance of PV systems is greatly impacted by the …
simulated with efficiency. The performance of PV systems is greatly impacted by the …
Application of chaotic teaching–learning-based optimization technique for estimating unknown parameters of proton exchange membrane fuel cell model
Proton exchange membrane fuel cells (PEMFC) possess features like high specific power
density, low operating temperature, and low operating pressure and thus are most widely …
density, low operating temperature, and low operating pressure and thus are most widely …