H
Haitham Saad Mohamed Ramadan
Researcher at Zagazig University
Publications - 87
Citations - 2268
Haitham Saad Mohamed Ramadan is an academic researcher from Zagazig University. The author has contributed to research in topics: Computer science & Renewable energy. The author has an hindex of 22, co-authored 67 publications receiving 1213 citations. Previous affiliations of Haitham Saad Mohamed Ramadan include Universite de technologie de Belfort-Montbeliard & Franche Comté Électronique Mécanique Thermique et Optique Sciences et Technologies.
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Hydrogen storage technologies for stationary and mobile applications: Review, analysis and perspectives
TL;DR: The technical comparative analysis of the different physical and material based types of HSSs illustrates the paradoxical inherent features, including gravimetric and volumetric storage densities and parameters associated with storage and release processes, among these systems.
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A flower pollination optimization algorithm for an off-grid PV-Fuel cell hybrid renewable system
TL;DR: The Flower Pollination Algorithm (FPA), as an efficient recent metaheuristic optimization method, proposed to estimate the optimum number of both PV panels and the FC/electrolyzer/H2 storage tanks set mandatory where the least total net present value (TNPV) is reached.
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Techno-economic analysis for rustic electrification in Egypt using multi-source renewable energy based on PV/ wind/ FC
TL;DR: In this article, a technical-economic investigation based on mathematical modeling, simulation, and optimization approach is employed to assemble an island combined renewable energy systems (CRES) consisting of solar PV/Wind/Fuel Cell (FC) of a small-scale countryside area in Egypt.
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Particle swarm optimization algorithm for capacitor allocation problem in distribution systems with wind turbine generators
TL;DR: In this paper, the Particle Swarm Optimization (PSO) technique has been used to find the near-optimal solutions for the capacitor allocation problem in distribution systems for the modified IEEE 16-bus distribution system connected to wind energy generation based on a cost function.
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Extended kalman filter for accurate state of charge estimation of lithium-based batteries: a comparative analysis
TL;DR: Two different battery parameter identification methods are presented and an accurate SOC estimation of Lithium-based batteries based on Extended Kalman Filter based on enhanced closed loop EKF estimator is determined.