Dr. shimaa H . Barakat | Beni-Suef University (original) (raw)

Papers by Dr. shimaa H . Barakat

Energy conversion and management, Jul 1, 2024

This study investigates the optimization of a grid-connected hybrid energy system integrating pho... more This study investigates the optimization of a grid-connected hybrid energy system integrating photovoltaic (PV) and wind turbine (WT) components alongside battery and supercapacitor storage. The research addresses the critical need for efficient energy storage solutions in renewable energy integration. Six optimization algorithms—AGTO, ARO, BOA, CGO, PFA, and TSO—are evaluated for their efficacy in determining optimal system configurations. The system's adaptability to dynamic scenarios is examined through comprehensive sensitivity analyses, shedding light on its robustness. The findings reveal that the CGO algorithm outperforms others by achieving optimal solutions with fewer iterations, highlighting its efficiency. Key conclusions include the identification of an optimal configuration comprising a 589.58 kW PV system, 664 kW WT, a 675-kW supercapacitor, and a 1000 kWh battery bank. This configuration achieves an 80 % renewable energy fraction (REF), reduces the annual system cost (ACS) to 603,537.8522,andmaintainsacompetitivelevelizedcostofelectricity(LCOE)at603,537.8522, and maintains a competitive levelized cost of electricity (LCOE) at 603,537.8522,andmaintainsacompetitivelevelizedcostofelectricity(LCOE)at0.2380 per kWh. The research underscores the significance of integrated energy storage solutions in optimizing hybrid energy configurations, offering insights crucial for advancing sustainable energy initiatives. The study contributes valuable insights to the scientific community, paving the way for more efficient and resilient renewable energy systems.

Sustainable Cities and Society, Sep 1, 2020

This is a PDF file of an article that has undergone enhancements after acceptance, such as the ad... more This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Zenodo (CERN European Organization for Nuclear Research), Jun 16, 2014

This paper presents a fault identification, classification and fault location estimation method b... more This paper presents a fault identification, classification and fault location estimation method based on Discrete Wavelet Transform and Adaptive Network Fuzzy Inference System (ANFIS) for medium voltage cable in the distribution system. Different faults and locations are simulated by ATP/EMTP, and then certain selected features of the wavelet transformed signals are used as an input for a training process on the ANFIS. Then an accurate fault classifier and locator algorithm was designed, trained and tested using current samples only. The results obtained from ANFIS output were compared with the real output. From the results, it was found that the percentage error between ANFIS output and real output is less than three percent. Hence, it can be concluded that the proposed technique is able to offer high accuracy in both of the fault classification and fault location.

IOP Conference Series: Materials Science and Engineering, 2020

In the present study, we develop a one-dimensional semiconductor photonic crystal to control ultr... more In the present study, we develop a one-dimensional semiconductor photonic crystal to control ultraviolet radiation. We study the transmittance spectra of incident light on the proposed structure in the ultraviolet regime. A photonic bandgap appears with a width of 95.2 nm. by changing the thickness parameters, it can reach up to 125.6 nm with appearing of new band gaps. The incident angle effect on the band gap’s width is apparent. The bandgap shifted to a lower wavelength region. So the proposed structure could be useful in preventing UV radiation from passing through it.

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)

Results in engineering, Sep 1, 2023

An off-grid PV energy system's performance is primarily determined by the Total Net Present Cost ... more An off-grid PV energy system's performance is primarily determined by the Total Net Present Cost (TNPC), which is utilized as a metric to measure the off-grid PV scheme's profitability, and the Loss of Power Supply Probability (LPSP) and Surplus Energy proportion (SEP), which are used to assess the Suggestion system's reliability. that provide enough electricity to a fruit orchard situated on 60 acres new city of Borg El Arab, Alexandria, Egypt multi-objective improvement of an optimum off-grid PV power framework was implemented. Dribble water system and artesian wells are utilized on the site. Apple trees and grapevines cover 40 acres of the farm's land, with another 20 acres planted in grapes. The output power of an off-grid photovoltaic power framework was estimated utilization mathematical models, which were presented. This study's findings revealed the optimal amount of battery banks and PV panels, the system's TNPC, and the price of kWh delivered by the proposed framework, as well as the Surplus Energy Percentage (SEP).

This paper is aimed at conducting technical and economical analysis of hybrid PV-Biomass micro-gr... more This paper is aimed at conducting technical and economical analysis of hybrid PV-Biomass micro-grid, which to electrify a remote apple farm located in Albaha region, KSA. To accomplish this goal, the system components are simulated, modelled and sizing. The objective function is formulated based on the Total Annual Cost (TAC). Two selected optimization methods are applied to achieve the optimum number of the PV panels and the biomass engine-generator set with the least Net Present Cost (NPC). The optimization algorithms are the Harmony Search (HS) and the Firefly Algorithm (FA). The Loss of Power Supply Probability (LPSP) is utilized to improve the performance of the proposed system. The final consequences of the optimal system display that it contains 25 PV modules, 2 biomass generators and 98 Nickel Iron (Ni-Fe) batteries at LPSP of 2% and lower NPC.

International Journal of Hydrogen Energy, Apr 1, 2020

A technical-economic investigation based on mathematical modeling, simulation, and optimization a... more A technical-economic investigation based on mathematical modeling, simulation, and optimization approach is employed in this research to assemble an island combined renewable energy systems (CRES) consists of solar PV/Wind/Fuel Cell (FC) of a small-scale countryside area in Egypt. The intent of the proposed island CRES is to boost the share of renewable energy in the energy mix and to study the possibility of using fuel cells as a storage/backup system instead of using battery banks.

International Journal of Energy Research, Sep 24, 2020

The main objective of this paper is to determine the optimal sizing of a biomass and fuel cell mi... more The main objective of this paper is to determine the optimal sizing of a biomass and fuel cell micro‐grid. The biomass generator will be utilized as the main source of power generation for the study area, while the fuel cell generator will be used as a backup generator to be used if the biomass generator fails to meet the energy requirements of the study area. In this research, excess energy will be used to produce hydrogen which is to be used by the fuel cells to generate energy instead of using batteries. To achieve the goal of this paper, a multi‐objective particle swarm optimization (MOPSO) technique has been proposed to solve the sizing problem for the introduced micro‐grid via an economical perspective which is the cost of energy (COE). The MOPSO algorithm tries to mitigate the COE to the lower values by keeping the loss of power supply probability (LPSP) as minimal as possible. Likewise, statistical analysis has been concluded to study the accuracy of the outcomes of the introduced technique. Three indicators have been offered, which are the process capability indices, the normal probability, and the control chart. The final contribution of the consequences of the two presented objective functions clears that the algorithm process is under statistical control, stable, and very precise. The optimum system from the economic perspective consists of two biomass gensets, 31 fuel cells, 65 electrolyzers, and 186 H2 tanks with an NPC of $ 2 314 842, COE of 0.335 $/kWh at an LPSP of 1.929%.

IEEE Access, 2021

Developing countries' energy sector faces a multitude of challenges, ranging from inadequate gene... more Developing countries' energy sector faces a multitude of challenges, ranging from inadequate generation to unstable grids. Power outages are among the most common issues, particularly in remote areas. Utilizing grid-tied green energy resources to address this issue and to cover for power outages from local grids. This article presents a cost-effective design of a grid-tied, hybrid green energy system (GES) consisting of wind, PV, and batteries considering the influence of the grid availability. A multi-objective, optimal techno-economic design, optimized by multi-objective particle swarm optimization technique is presented for the grid-tied GES linked to a small hamlet in the north of Egypt. The multi-objective function introduced in this work includes three objective functions which are, the Loss of Power Supply Probability (LPSP), the Cost of Energy (COE), and the System Surplus Energy Rates (SSER) considering the grid availability. The grid availability (GA) of 100% was considered as a base case and it was reduced to 70% with a step of 5%. The simulation consequences had cleared that the lowest and largest percentage values of SSER were obtained at GA of 85 %, and 70 %, respectively. When the value of SSER equal to 0.33%, the system design for solving the grid unavailability consists of 12 PVs, one WT, and 1420 batteries with COE of 0.

Mathematics

This study presents a multi-objective optimization approach for designing hybrid renewable energy... more This study presents a multi-objective optimization approach for designing hybrid renewable energy systems for electric vehicle (EV) charging stations that considers both economic and reliability factors as well as seasonal variations in energy production and consumption. Four algorithms, MOPSO, NSGA-II, NSGA-III, and MOEA/D, were evaluated in terms of their convergence, diversity, efficiency, and robustness. Unlike previous studies that focused on single-objective optimization or ignored seasonal variations, our approach results in a more comprehensive and sustainable design for EV charging systems. The proposed system includes a 223-kW photovoltaic system, an 80-kW wind turbine, and seven Lithium-Ion battery banks, achieving a total net present cost of USD 564,846, a levelized cost of electricity of 0.2521 USD/kWh, and a loss of power supply probability of 1.21%. NSGA-II outperforms the other algorithms in terms of convergence and diversity, while NSGA-III is the most efficient, an...

Journal of Energy Storage

Sustainable Cities and Society

International Journal of Hydrogen Energy, 2021

This study addresses the problem of power outages in distant districts by taking advantage of the... more This study addresses the problem of power outages in distant districts by taking advantage of the available renewable energy resources in the surrounding environment. This was done by proposing connecting the utility to a hybrid system constituting from photovoltaic (PV), wind turbine (WT), and fuel cell (FC) systems where this hybrid system is considered as a backup system that works when the grid is unavailable. This hybrid system proposed is used for feeding the load to a tourist resort in Hurghada, Egypt. The design of the introduced system has taken into consideration the cost of purchasing electric energy and the profit from selling it to the utility network. Component scaling was implemented to improve the net present cost of the proposed system using two grouped meta-heuristic techniques, which are the Hybrid Firefly and Harmony Search optimization technique (HFA/HS) and compared to the particle swarm optimization (PSO) technique. Simulation results have shown that the optimal system for solving the grid unavailability consists of eighty PVs, two WTs, twenty FCs, forty-one electrolyzers, and one hundred eighteen hydrogen tanks. The results also showed that the volume of exchange with the grid has reached 4 GW of purchase and 3 GW of sale. It is manifest from the results that the suggested system is economically viable with an LCOE of 0.

2022 23rd International Middle East Power Systems Conference (MEPCON), Dec 13, 2022

Journal of Electrical Engineering & Technology, 2020

The objective of this treatise is to provide a detailed feasibility analysis of the hybrid renewa... more The objective of this treatise is to provide a detailed feasibility analysis of the hybrid renewable energy system (HRES) to supply sufficient energy to an autonomous college’s building et al. Baha University in the Kingdom of Saudi Arabia (KSA). The feasibility analysis presents technical and economic guises for the HRES which includes integrated sources of photovoltaic (PV), wind turbine, fuel cell, and batteries. The utilized real data of the island-building is gathered to support the feasibility analysis of the suggested system which includes monthly load consumption, climate data, and installation available space. The sensitivity analysis and the simulation consequences show that the hydrogen energy system reduces the support of the economic and the ecological factors for the HRES comparing with other resources. PV system also plays a considerable influence on the net present cost and the cost of energy of the system.

Sustainable Cities and Society, 2018

Abstract The primary objective of the proposed paper is to conduct a techno-economic study of an ... more Abstract The primary objective of the proposed paper is to conduct a techno-economic study of an off-grid PV/Biomass hybrid system. We employed various optimization techniques. This included the Flower Pollination Algorithm (FPA), the Harmony Search (HS) algorithm, the Artificial Bee Colony (ABC) Algorithm and the Firefly Algorithm (FA). The ultimate objective was to determine an optimal solution for the sizing problem. In this context, the proposed procedure optimally selects the capacity of three types of generators, namely solar PV, biomass, and battery banks. The data for this study was collected from Monshaet Taher village, located in Egypt. To improve the performance, we restrained the selection between these generators to be based on minimizing the Net Present Cost (NPC) for a specified Loss of Power Supply Probability (LPSP) and Percentage of the excess energy (EXC). Three different battery technologies, including Flooded lead-acid (FLA), Lithium Ferro Phosphate (LFP) and Nickel Iron (Ni-Fe) have been considered in this study. The simulation results show that the Firefly Algorithm has the minimum execution time and best performance among the other algorithms, it also shows that the optimal configuration is obtained for a system comprising of 24 PV panels, 4 biomass power systems, and 298 Ni-Fe batteries.