A5086816810- Photovoltaic System Optimization Techniques
- Advanced Battery Technologies Research
- Microgrid Control and Optimization
- Fuel Cells and Related Materials
- Solar Radiation and Photovoltaics
- Hybrid Renewable Energy Systems
- Solar Thermal and Photovoltaic Systems
- Electric Vehicles and Infrastructure
- solar cell performance optimization
- Electrocatalysts for Energy Conversion
- Electric and Hybrid Vehicle Technologies
- Energy and Environment Impacts
- Smart Grid Energy Management
- Metaheuristic Optimization Algorithms Research
- Advanced Thermoelectric Materials and Devices
- Advanced battery technologies research
- Microbial Fuel Cells and Bioremediation
- Frequency Control in Power Systems
- Electrochemical sensors and biosensors
- Supercapacitor Materials and Fabrication
- Advancements in Solid Oxide Fuel Cells
- Multilevel Inverters and Converters
- Wind Turbine Control Systems
- Biodiesel Production and Applications
- Electric Motor Design and Analysis
Prince Sattam Bin Abdulaziz University
2016-2025
Minia University
2016-2025
Zagazig University
2016
Kyushu University
2014
This study scrutinizes the reliability and validity of existing analyses that focus on impact various environmental factors a photovoltaic (PV) system’s performance. For first time, four (the accumulation dust, water droplets, birds’ droppings, partial shading conditions) affecting system performance are investigated, simultaneously, in one study. The results obtained from this investigation demonstrate shading, bird fouling has significant effect PV current voltage, consequently, harvested...
An adaptive fuzzy logic (FL)-based new maximum power point (MPP) tracking (MPPT) methodology for controlling photovoltaic (PV) systems is proposed, designed, and implemented in this paper. The existing methods implementing FL-based MPPTs lack adaptivity with the operating point, which varies wide range practical PV irradiance ambient temperature. proposed MPPT (AFL-MPPT) algorithm simple, accurate, provides faster convergence to optimal point. effectiveness feasibility verifications of...
Additive Manufacturing (AM) is the fastest growing industrial technique, harboring innovative, cost effective and environmentally friendly solutions. Over years, AM technologies have been utilized in aerospace automotive industries mainly for prototyping purposes. However, 3D printing of aircraft automobile components parts has recently proven its efficiency. In this paper, a comprehensive review on utilization presented. The various techniques are compared based their process, materials,...
The proliferation of eco-friendly electric vehicles is becoming an irresistible trend. As governments worldwide tighten regulations on fuel efficiency and exhaust gas, the position expected to become more solid. essence this study cover main components EV, needed infrastructure, investigate impacts high insertion in power systems. Moreover, work presents evaluation for energy distribution networks with a focus adapting capacity charging stations. It was possible process data confine impact...
This study suggests a new nature-inspired metaheuristic optimization algorithm called the red-tailed hawk (RTH). As predator, has hunting strategy from detecting prey until swoop stage. There are three stages during process. In high soaring stage, explores search space and determines area with location. low moves inside selected around to choose best position for hunt. Then, swings hits its target in stooping swooping stages. The proposed mimics prey-hunting method of solving real-world...