Loading [MathJax]/extensions/MathMenu.js
Mohamed Louzazni - IEEE Xplore Author Profile

Showing 1-12 of 12 results

Filter Results

Show

Results

The research presents an original approach to estimate and extract the electrical intrinsic characteristics of flexible hydrogenated amorphous silicon (a-Si:H) solar cells using Earthworm Optimization Algorithm (EOA) The EOA metaheuristic algorithm has gained popularity for optimizing non-linear and complicated systems in various fields. Additionally, the current-voltage curve is used to calculate...Show More
The internet of things (loT) is an important element for remote monitoring, supervision, and quality assurance in solar photovoltaic (PV) systems. It also increases the energy production's long-term sustainability, stability, effectiveness, operation and maintenance. In this paper, a prototype for a photovoltaic generator (PVG) using the Isofoton Is-150c/12 photovoltaic modules, Arduino UNO and th...Show More
The aim of this paper deal with the mathematical modelling approach and behaviour of thin-film a-Si: H solar cells. The current-voltage (I-V) curve presents double linearities on the cell parameters and the exponential. So, thin-film P-I-N solar cell (a-Si-H) based on the classic combination of diode with an exponential I-V characteristics and adding a new current named recombination loss. The fun...Show More
Energy consumption in a new building design project is nowadays one of the most attractive parameters of development. The building orientation affects directly the amount of energy consumption to achieve energy saving. The main objective of this study focuses on building orientation and its impact on energy consumption. One basic factor in building orientation affects the solar radiation exposure ...Show More
Accurate and realistic models of forecasting are very relevant as methods for the successful implementation of renewable energy sources into smart grids. This work, present a short-term forecasting of the power output of building photovoltaic system installed in the Heliopolis university, Cairo, Egypt. The proposed method forecast one day using the autoregressive exogenous (NARX) method, based in ...Show More
Power production prediction from Renewable Energy (RE) sources has been widely studied in the last decade. This is extremely important for utilities to counterpart electricity supply with consumer demands across centralized grid networks. In this context, we propose a local training strategy-based Artificial Neural Network (ANN) for predicting the power productions of solar Photovoltaic (PV) syste...Show More
The concept of using renewable energy sources usage is increasing day by day but there is a limitation of it as we cannot use standalone renewable system. With standalone systems, the storage devices are used for backup power. The load and sources are interfaced by the power converters. In this paper, a new three port converter is analyzed. The analyzed converter is derived from full bridge conver...Show More
Due to the non-linearity of current-voltage of solar cell model, the conventional methods are incapable to extract the parameters of solar cell with high accuracy. The implicit nonlinear equation describing the single and double diodes solar cell in five and seven parameters is rewritten as optimization problems with constraint functions and it is solved by using a firefly algorithm optimization. ...Show More
The current-voltage characteristics of photovoltaic module are non-linear, multivariable and multi-modal and difficult to optimize the electrical intrinsic parameters. The conventional methods are incapable to optimize the parameters of photovoltaic module with high accuracy. Recently, the bio-inspired algorithm such as firefly algorithm has attracted the intention to optimize the non-linear and c...Show More
Due to the non-linearity, multivariable and multimodal features of current-voltage of solar cell models, the conventional methods are incapable to estimating the parameters of solar cell with high accuracy. Recently, the bio-inspired algorithms have attracted the attention. The firefly algorithm is nature-inspired stochastic optimization algorithm is among the most powerful algorithms in solving m...Show More
The aims of this paper are to propose an intelligent hybrid control based in two methods of maximum power point tracking (MPPT) using fuzzy logic and classical PID controllers of a photovoltaic system under variable temperature and irradiance conditions, to improve the dynamic response, the efficiency and the stability of single stage three-phase photovoltaic grid-connected inverter. The combinati...Show More
The aims of this works are to present an intelligent control based in fuzzy logic and PID controller for the maximum power point tracking (MPPT) of a photovoltaic system under variable temperature and irradiance conditions, to improve the dynamic response, the efficiency and the stability of single stage three-phase photovoltaic grid-connected inverter. The combination of the flexible and intellig...Show More