A5002450453- Solar Thermal and Photovoltaic Systems
- Photovoltaic System Optimization Techniques
- Solar Radiation and Photovoltaics
- Microgrid Control and Optimization
- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Power Transformer Diagnostics and Insulation
- Photovoltaic Systems and Sustainability
- Advanced Battery Technologies Research
- Flood Risk Assessment and Management
- Global Energy and Sustainability Research
- Phase Change Materials Research
- Electric Power Systems and Control
- Geoscience and Mining Technology
- solar cell performance optimization
- Building Energy and Comfort Optimization
- Frequency Control in Power Systems
- Hydrology and Drought Analysis
- Smart Grid Energy Management
- Electric Vehicles and Infrastructure
- Power Systems Fault Detection
- Magnetic Properties and Applications
- Energy and Environment Impacts
Aswan University
2013-2023
Partners in Development for Research, Consulting and Training (Egypt)
2023
Beijing Solar Energy Research Institute
2020
Minia University
2020
Arish University
2020
Kyushu Art Institute of Technology
2020
Kyushu Institute of Technology
2016-2018
In this paper, a new approach to simulate transformer turn earth fault, by using symmetrical components approach, has been presented. the suggested novel modeling technique, fault is simulated as healthy with short circuit (SC) impedance. This SC impedance considered of fraction part winding through which occurs. The reminder added transmission line or load external Hence, modelling system represented transformer, and an ground fault. values current from technique (using approach) were...
This paper addresses an intelligent control scheme using the artificial neural network (ANN) technique for modeling and simulating a central tower receiver (CTR) plant with thermal energy storage (TES). The multilayer perceptron (MLPNN) was implemented two input parameters, one output parameter, hidden layer. inputs comprise inlet temperature power. includes mass flow rate of heat transfer fluid. A total 888 datasets three types training algorithms, Levenberg-Marquardt (LM), Quasi-Newton,...
Smart Grid construction within conventional network is a step to digitalize and optimize the present grid. However, smart grid itself should be part of solution rather than being new burden. According this research, Electric Vehicles (EV) in form Vehicle-to-Grid (V2G) can play their own role for frequency control an isolated power system. On other hand, Microgrids mostly use Renewable Energy Systems (RES) electrical production that are naturally fluctuating, time there increasing trends...
Photovoltaic (PV) system integration in the electric grid has been increasing over past decades. However, impact of PV penetration on grid, especially during periods higher and lower generation for solar at middle day cloudy weather or night respectively, limit high system. In this research, a Concentrated Solar Power (CSP) with Thermal Energy Storage (TES) aggregated order to accommodate required electrical power energy all timescales. This paper analyzes impacts CSP grid-connected...
In this paper, a developed model design to simulate Concentrated Solar Power (CSP) output has been presented. Namely, Central Tower Receiver (CTR) designed with control methodology based on Artificial Neural Network (ANN) technique. modeling technique, of an ANN technique MLP networks is used evaluate the mass flow rate Heat Transfer Fluid (HTF) at any given value received solar thermal power tower receiver (Pth, tr) adjust temperature estimated value. The advantage simplification and...
Alexandria city is the second largest in Egypt; located on Mediterranean Sea.It experienced yearly extreme rainfall events.In 2015, it was hit by an rainfall, causing a heavy impact flooding most urban areas of city.This causes huge negative social and economic activities.The responsible authorities did not prepare enough for this event.This study aims to assist decision makers priority plans developing flood susceptibility mapping city, using Geographic information system (GIS), remote...
Recently, central tower receiver (CTR) power plant has been received a considerable attention as promising technology for large solar thermal plants compared to different concentrated (CSP) technologies.The present work adopted facile controllable scheme using an artificial neural network (ANN) technique modelling and simulating CTR with energy storage (TES).Three ANN models such radial basis function (RBF), generalized regression (GRNN), multi-layer perceptron (MLP) were applied assess the...
Recently, central tower receiver (CTR) power plant has been received a considerable attention as promising technology for large solar thermal plants compared to different concentrated (CSP) technologies.The present work adopted facile controllable scheme using an artificial neural network (ANN) technique modelling and simulating CTR with energy storage (TES).Three ANN models such radial basis function (RBF), generalized regression (GRNN), multi-layer perceptron (MLP) were applied assess the...