Abdussalam Ali Ahmed
@bwu.edu.ly
Asst. Prof, Mechanical and Industrial Engineering Department, Bani Waleed University, Bani Waleed, Libya
Bani Waleed University
PhD in Mechatronic Engineering.
Mechanical and Industrial Engineering Department, Bani Waleed University, Bani Waleed/Libya
EDUCATION
Bachelor: Mechanical Engineering, Tripoli University, Tripoli / Libya,2002
Master: Mechanical Engineering, Tripoli University, Tripoli / Libya, 2005
PhD: Mechatronic Engineering, Okan University, Istanbul / Turkey, 2017
RESEARCH INTERESTS
1. Mechatronics
2. Mechanical Engineering
3. Renewable Energy
4. Vehicle Dynamics and control
5. Manufacturing Technologies
6. Industrial Engineering
FUTURE PROJECTS
Modelling and Control of Car Active Suspension System Using a Neural Network-based Controller and Linear Quadratic Regulator Controller
Applications Invited
Vehicle Dynamics Modeling and Simulation with Control Using Single Track Model
Applications Invited
4D Printing Technology
Applications Invited
Scopus Publications
Scopus Publications
Yasser F. Nassar, Hala J. El-khozondar, Abdussalam A. Ahmed, Abdulgader Alsharif, Mohamed M. Khaleel, and Rifa J. El-Khozondar
Elsevier BV
Yasser F. Nassar, Hala J. El-Khozondar, Wedad El-Osta, Suhaila Mohammed, Mohamed Elnaggar, Mohamed Khaleel, Abdussalam Ahmed, and Abdulgader Alsharif
Elsevier BV
Triwiyanto Triwiyanto, Vugar Abdullayev, and Abdussalam Ali Ahmed
Springer Science and Business Media LLC
Hilmy Awad, Yasser F. Nassar, Rahma S. Elzer, Ibrahim Mangir, Mohamed Khaleel, Abdussalam Ahmed, Abdulgader Alsharif, Mansour Salem, and Ahmad Hafez
Research and Innovation Centre Pro-Akademia
Wastewater treatment facilities at high places can give chances for renewable and sustainable energy generation by putting hydroelectric turbines at the input and drain channels of wastewater treatment plants, and they can also use the sludge generated during the treatment process to make biogas, which can be used to generate power. Purified water is subsequently used to irrigate decorative plants along highways, in gardens, and in woods. The fermentation wastes are utilized as organic fertilizer to improve agricultural soil quality. At the Gharyan sewage station, a hybrid system consisting of a hydroelectric station and an electric generator powered by biogas is proposed in this research. This is because the city is distinguished by its high location, which is approximately 713 m above sea level. The results showed that the proposed system would provide an electric power of 490 kW, which is sufficient to cover 87.5% of the electrical energy consumption of the station. The amount of treated water is approximately 13,000 m3/day, and the amount of organic fertilizer is about 17 tons/day. The investment value is anticipated to be around $1,478,000, while the cost of producing a unit of electric energy is expected to be 2.83 ¢/kWh. This system's yearly net profit is predicted to be $307,765. The capital's recovery period is anticipated to be 3.44 years. The planned hybrid system will limit the discharge of an estimated 1,886 tons of CO2 gas each year.
Triwiyanto Triwiyanto, Sari Luthfiyah, Wahyu Caesarendra, and Abdussalam Ali Ahmed
IAES Indonesia Section
Mohamed Khaleel, Zıyodulla Yusupov, Yasser Nassar, Hala J El-khozondar, Abdussalam Ahmed, and Abdulgader Alsharif
Elsevier BV
Mohamed Khaleel, Ziyodulla Yusupov, Abdussalam Ahmed, Abdulgader Alsharif, Yasser Nassar, and Hala El-Khozondar
Allerton Press
Triwiyanto Triwiyanto, Sari Luthfiyah, I. Putu Alit Pawana, Abdussalam Ali Ahmed, and Alcham Andrian
Elsevier BV
Abdulgader Alsharif, Chee Wei Tan, Razman Ayop, Ahmed Al Smin, Abdussalam Ali Ahmed, Farag Hamed Kuwil, and Mohamed Mohamed Khaleel
MDPI AG
The area of a Microgrid (μG) is a very fast-growing and promising system for overcoming power barriers. This paper examines the impacts of a microgrid system considering Electric Vehicle Grid Integration (EVGI) based on stochastic metaheuristic methods. One of the biggest challenges to slowing down global climate change is the transition to sustainable mobility. Renewable Energy Sources (RESs) integrated with Evs are considered a solution for the power and environmental issues needed to achieve Sustainable Development Goal Seven (SDG7) and Climate Action Goal 13 (CAG13). The aforementioned goals can be achieved by coupling Evs with the utility grid and other RESs using Vehicle-to-Grid (V2G) technology to form a hybrid system. Overloading is a challenge due to the unknown number of loads (unknown number of Evs). Thus, this study helps to establish the system impact of the uncertainties (arrival and departure Evs) by proposing Stochastic Monte Carlo Method (SMCM) to be addressed. The main objective of this research is to size the system configurations using a metaheuristic algorithm and analyze the impact of an uncertain number of Evs on the distribution of residential power in Tripoli-Libya to gain a cost-effective, reliable, and renewable system. The Improved Antlion Optimization (IALO) algorithm is an optimization technique used for determining the optimal number of configurations of the hybrid system considering multiple sources, while the Rule-Based Energy Management Strategy (RB-EMS) controlling algorithm is used to control the flow of power in the electric power system. The sensitivity analysis of the effect parameters has been taken into account to assess the expected impact in the future. The results obtained from the sizing, controlling, and sensitivity analyses are discussed.
Nachaat Mohamed, Abdussalam Ali Ahmed, Abdulgader Alsharif, and Hala J. ElKhozondar
IEEE
In this paper, we introduce a groundbreaking approach to criminal network surveillance, utilizing AI-powered drones equipped with advanced cyber penetration tools. Our methodology entails the deployment of drones to intercept wireless networks of targeted criminals, facilitating the collection of crucial evidence without physical intrusion. By harnessing the capabilities of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL), in conjunction with automated penetration systems, our drones are able to conduct thorough investigations and relay the findings directly to command centers. This innovative technique ensures the acquisition of accurate and reliable evidence, boasting a remarkable success rate of 99.8%, thereby significantly expediting the arrest and prosecution processes. The outcomes of our work underscore the potential of AI drones as vital assets in modern criminal investigations, reshaping the landscape of law enforcement and national security protocols.
Abdulgader Alsharif, Abdussalam Ali Ahmed, Mohamed Mohamed Khaleel, Yasser Nassar, Mohamed Alamen Sharif, and Hala Jarallah El-Khozondar
IEEE
Hybrid Renewable Energy Sources (HRESs) integration with Electric Vehicles (EVs) is an interesting area of research in sustainable transportation and energy sectors. It involves combining different Renewable Energy Sources (RESs) such as solar, wind, and hydro to power EVs. Solar-to-Vehicle (S2V) technology is one of the cutting-edge methods to provide sustainability in the energy and transportation sectors. However, public acceptance and cost are the two most common limitations. Different optimization algorithms are used for HRES optimization. This study considers the Whale Optimization Algorithm (WOA) to optimize the system components and the obtained result is validated with Particle Swarm Optimization (PSO). The impact analysis of the EV and RESs integration is analyzed. The provided results show a higher amount of energy can be gained due to the high solar radiation in the case study that addresses the limitations of S2V.
Yasser Nassar, Hala ElKhozondar, Mohammed Abouqeelah, Ahmed Abubaker, Abdulhakeem Miskeen, Mohamed M. Khaleel Khaleel, Abdussalam Ahmed, Abdulgader Alsharif, and Monaem Elmnifi
Center for Solar Energy Research and Studies
According to the Libyan government's newly released strategic plan, renewable and environmentally friendly energy sources would provide 30% of the country's power by 2030. The goal of this research is to shed light on solar energy technologies that may be used to generate clean and sustainable electricity. An energy-economic-environmental study of five Concentration Solar Power (CSP) technologies (parabolic trough, solar dish, linear Fresnel reflector, solar tower, and concentrated PV solar cell) was conducted for 22 selected locations in Libya. The Levelized Cost Of Energy (LCOE) was chosen as a reference for identifying which technology would be most suited for each site. The economic estimates include the cost of environmental damage caused by carbon dioxide gas (CO2) emissions from fossil-fuel-powered power plants. This technique allows clean and renewable energy to compete fairly in the global energy market, even in countries that produce oil and subsidize electricity. According to the data, the solar mirror technology in Libya has the lowest LCOE of all the technologies evaluated in this study. The LCOE estimates varied from 0.01 to 0.04 dollars per kWh. The clean energy produced by the solar tower surpassed 100 MW, or about 400.332 GWh. Furthermore, the adoption of clean concentrating solar energy technology avoided the discharge of 4,235 tCO2/year/MWp.
Abdulhakeem Miskeen, Rahma Elzer, Ibrahim Mangir, Yasser Nassar, Hala J. El-Khozondar, Mohamed M. Khaleel, Abdussalam A. Ahmed, Abdulgader Alsharif, and Ibrahim I. Alzayani
Center for Solar Energy Research and Studies
Wastewater treatment plants that are located in high places can provide opportunities for generating sustainable energy, by installing hydroturbines at inlet and exit pipes of wastewater treatment plants, as well as exploiting the sludge resulting from the treatment process as a source for generating biogas, which can be used to generate electric power. Then the treated water is used to irrigate ornamental trees in the roads, gardens and forests, as well as the residues of the fermentation process are used as organic fertilizer and to improve the quality of agricultural soil. In this research, a hybrid system consisting of a hydroelectric station and an electric generator working on biogas was proposed at the wastewater treatment plant in Gharyan. This is because the city is distinguished by its high location, about 713 m above sea level. . The obtained results showed that the proposed hybrid renewable energy system will provide the wastewater treatment plant an electric power of 490 kW, which is sufficient to cover 87.5% of the plant's electrical energy consumption. The amount of treated water was about 13,000 m3/day, and the amount of organic fertilizer was about 17 tons/day. The investment value was estimated at about $1,478,000, and the leveized cost of energy LCOE was estimated at about 2.88 ¢/kWh. The annual net profit from the proposed system is estimated at $307,765/year, and the payback time money at 3.44 years. The proposed system will prevent the release of an annual amount of CO2 gas estimated at 1,886 tons.
Abdussalam Ali Ahmed, Hisham. F. A. Ramadhan, Mustafa Emheisen, Yasser Fathi Nassar, Adel Oubelaid, Mohit Bajaj, Parvesh Saini, and Subhashree Choudhury
IEEE
The purpose of this paper is to show how to identify and handle suspension system vibrations using two different control strategies: Sliding Mode Control (SMC) and a Proportional Integral Derivative (PID) controller. A four-degree-of-freedom (4DOF) half-car suspension model is used. Suspension performance factors such as ride comfort, suspension deflection, and vehicle handling necessitate a thorough control system. This control system, which is carried out with the MATLAB application, is made up of three components: the controller, the suspension system model, and input signals (road profile and actuator force). The simulation results illustrate a comparison between the uncontrolled suspension system and the half-car active suspension system's PID and SMC controllers.
Abdussalam Ali Ahmed, Hisham.F. A. Ramadhan, Mohamed El Malki, and Yasser Fathi Nassar
IEEE
This paper illustrates the use of two distinct control strategies. Namely, the Sliding Mode Control (SMC) and a Linear Quadratic Regulator (LQR) controller to monitor and handle the suspension system vibrations that occurred. We used a half car suspension model with (4DOF). The necessary suspension performance attributes, such as ride comfort, suspension deflection and car handling require a comprehensive control system. Three components make up this control system, which is carried out using the MATLAB application: the controller, the suspension system model, and input signals (road profile and actuator force). A comparison of the half car active suspension system LQR and SMC controllers as well as the uncontrolled suspension system is presented.
Mustafa A Emheisen, Abdussalam Ali Ahmed, Triwiyanto Triwiyanto, and Yasser Fathi Nassar
IEEE
The automotive single-track model has been employed in this study to provide a more basic modelling and simulating for observing vehicle performance behavior and stability. The conventional controller (PID) and model predictive control (MPC) are the two control technologies employed in this paper. A complete control module that consists of an automotive linear single system, a single-track nonlinear model, and a control strategy must be established in order to achieve the goals of this research. Step steer angle and lane - changing maneuver are the settings for the steering input. The simulation findings in this research demonstrate that superior handling and stability of the vehicle were successfully attained using the control systems built for the vehicle models employed.
Yasser F. Nassar, Khalid A. Amer, Hala J. El-Khozondar, Abdussalam A. Ahmed, Abdulgader Alsharif, Mohamed M. Khaleel, Mohamed Elnaggar, Rifa J. El-Khozondar, and Abdallah Salem
IEEE
A practical design presented in this paper; a hybrid PV solar panel and flat plate solar air heating collector (HSC). When the PV solar cells are installed on the upper surface of the absorber plate at the entrance of air duct of the air heater solar collector, the system will generate both electricity and heat. Numerical model based on energy balance of a PV solar/thermal flat plate air heater solar collector (PV/T) has been developed. The analysis is aiming to identify the optimum contribution of the PV in the proposed HSC according to local transient energy behavior of the components of the HSC. The results substantiated the success of HSC technology in reducing the surface temperature of solar cells and increasing their productivity compared to a conventional PV solar panel. The optimum ratio of PV solar cell is found 25% of the total length of the HSC. Although the proposed HSC reduced the thermal efficiency of the solar collector from 42% to 39%, it increased the electrical efficiency of the PV solar cells from 11% to 14%. As a result, the overall efficiency of the proposed HSC was raised to 53%.
Yasser F. Nassar, Hala J. El- Khozondar, Nasser M. Abouhmod, Ahmed A. Abubaker, Abdussalam A. Ahmed, Abdulgader Alsharif, Mohamed M. Khaleel, Mohamed Elnaggar, and Rifa J. El-Khozondar
IEEE
The present study presents a regression function for optimum tilt angle for fixed mode flat-plate solar harvesters suitable for different locations in Libya, sky conditions and albedo values. The research based on 14 years -15 minutes time series solar irradiation components which provided by Solargis database platform for 24 different locations in Libya, based on the contract signed between the Solargis Company and Wadi AlShatti University. Several transposition models are applied - corresponding to each location - for estimating the tilted global solar irradiance components according to recommendation of a local recent study. The proposed model corrects the optimum tilt angle by involving the three components of the solar irradiation: direct beam, sky-diffused and ground reflected solar irradiances. The results proved the applicability and reliability of the obtained regression model. In addition, results showed the high potential of the proposed model for use in engineering design, eco-energetic analysis and optimum design processes.
Nachaat Mohamed, Saif Khameis Almazrouei, Adel Oubelaid, Abdussalam Ali Ahmed, Omer.S. M. Jomah, and Alghannai Aghnaiya
IEEE
The emergence of China as a global superpower has presented numerous challenges, among which is the growing threat posed by Chinese cyber warfare units. Operating under the People's Liberation Army (PLA), these units have been implicated in various high-profile cyber-attacks targeting both civilian and military entities worldwide. This paper endeavors to offer a comprehensive analysis of the risks presented by Chinese cyber warfare units, encompassing their organizational structure, tactics, and capabilities. By elucidating the nature and extent of this menace, we hope to enable governments and organizations to implement measures for better protection against Chinese cyber-attacks, as 80% of them target government bodies. In this study, we utilize the MITRE ATT&CK framework as a foundation to deliver an accessible, informative overview.
Ahmed Salem Daw Alarga, Hadya S. Hawedi, Ibrahim Imbayah, Abdussalam Ali Ahmed, Abdulgader Alsharif, and Mohamed Mohamed Khaleel
IEEE
This paper presents a ventilator that is characterized by simple construction and operation, as well as accurate execution of tasks due to the control system based on the Arduino board and servo motor. The device presented in this research is composed of two main parts: the mechanical part, represented by pliers, which are two opposite plates that can be moved at a specific angle and speed with the assistance of a servo motor connected to these two pliers by two iron rods, and the electronic part, which serves as the base for the ventilator described in this paper. The electronic component consists of a keypad, an Arduino board, and a servo motor. a display screen that shows the user-entered settings is also included. The main goal of this paper is to accurately adjust the amount of oxygen flowing to the patient through the ability of this device to determine the angle of the motor, and the number of breathing times that can be adjusted by adjusting the speed of the engine. A model of the proposed ventilator has been implemented and successfully tested in terms of modifying the motor angle and how rapidly the bag is pressed (motor speed). wherever the control system’s settings have all been accurately and completely applied. In comparison to other devices proposed in numerous studies, this device is characterized by the simplicity of its design, the affordability of its parts, as well as its light weight, which makes it easier to carry and move from one place to another. It is also distinguished by its accuracy in controlling the amount of oxygen required as well as the number of breathing cycles per minute.
Abdulgader Alsharif, Abdussalam Ali Ahmed, Mohamed Mohamed Khaleel, Ahmed Salem Daw Alarga, Omer. S. M. Jomah, and Ibrahim Imbayah
IEEE
A vehicle is a means of transportation, such as a car, truck, or train, that is capable of moving people or goods from one place to another. Vehicles can be classified based on various factors, such as the type of fuel they use (e.g. gasoline, diesel, electricity), the number of wheels they have (e.g. two, four, six), and their intended use (e.g. passenger transportation). Vehicles may have connectors, such as plug sockets or fuel ports, that allow them to be connected to other devices or systems to form Vehicle-to-Everything (V2X) technology. For example, an Electric Vehicle (EV) may have a charging port that allows it to be connected to an electric power source to recharge its batteries such Vehicle-to-Grid (V2G) as one of the V2X forms. One of the challenges in charging EVs is the availability of charging infrastructure. In many places, there are relatively few public charging stations, which can make it difficult for EV owners to find a place to charge their vehicles when they are away from home. Additionally, charging an electric vehicle can take significantly longer time than filling up a gasoline-powered vehicle, which can be inconvenient for some drivers. In this review, the various topologies of V2X, connectors, charging challenges, and EV impact types on the grid are conducted.
Abdulgader Alsharif, Abdussalam Ali Ahmed, Mohamed Mohamed Khaleel, Ahmed Salem Daw Alarga, Omer.S. M. Jomah, and Alarabi Bin Eisa Alrashed
IEEE
Electric Vehicles (EVs) as hotspot research are increasingly being used as alternative energy sources outside of transportation due to global variables like energy usage and environmental concerns. Gridable Electric Vehicle (GEV) is exploiting the opportunity for connecting EVs to the grid. EVs are now capable of contributing to addressing power limitations and acting as a reserve source of energy for the distribution grid in the Electric Vehicle Charging Facility (EVCF) to form Vehicle-to-Home (V2H). This paper is introduced to estimate impacts on the load for the uncertain behavior of EVs under domestic load after being sized using algorithms. Although, the integration of EVs provides an economical and environmental solution with a positive impact, however, it affects the power system when the uncertain number of EVs is provided as heavy duty. Sensitivity analysis has been considered in the study to investigate the expected changes in the system from the affected components.
Mohamed Mohamed Khaleel, Ziyodulla Yusupov, Muhammet Tahir Güneşer, Adel Ali Abulifa, Abdussalam Ali Ahmed, and Abdulgader Alsharif
IEEE
Due to the integration of various distributed generation resources into power systems, in particular, the integration of proton exchange membrane fuel cell (PEMFC), the electrical power grid (EPG) becomes more comprehensive and has power quality (PQ) issues like voltage/current unbalance, harmonics, voltage sag, etc. The issue of voltage sag arises from sudden changes in the EPG operating conditions. In this paper, the Advanced Equilibrium Optimizer (AEO) and Particle Swarm Optimization (PSO) are proposed as solutions for EPG disturbance in partially voltage sag issues caused by three fault scenarios: single line-to-ground faults (SLGF), double line-to-ground faults (DLGF), and three line-to-ground faults (TLGF). Both of proposed controllers are set up by applying AEO and PSO, and their preponderances are demonstrated by comparison with a conventional PI controller. The simulink model of PEMFC-EPG interconnection system is carried out in MATLAB/Simulink environment. The results of PEMFC-EPG interconnection using AEO and PSO are impressive and persuasive in terms of the voltage sag elimination.
Mohamed Belrzaeg, Abdussalam Ali Ahmed, Mohamed Mohamed Khaleel, Abdulgader Alsharif, Maamar Miftah Rahmah, and Ahmed Salem Daw Alarga
MDPI
Mohamed Khaleel, Ziyodulla Yusupov, Muhammet Guneser, Tahir Ghandoori, Adel Abulifa, Abdussalam Ahmed, and Abdulgader Alsharif
ScopeMed
Integration of Proton Exchange Membrane Fuel Cell (PEMFC) with electrical power grid (EPG) can improve the power quality (PQ) of EPG by injecting the required power. However, this makes the PQ issue more complicated due to the negative impact of voltage sag on EPG. Unfortunately, the classical P-I controllers fail in eliminating the voltage sag. In this context, this paper, attempts to mitigate the voltage sag in an interconnected PEMFC-EPG system by utilizing advanced equilibrium optimizer (AEO) and particle swarm optimization (PSO) controllers, and their efficiency is demonstrated by comparison with conventional P-I controllers. To achieve this goal, the AEO-PEMFC and PSO-PEMFC are employed in the EPG line with different fault scenarios. The obtained results unveil that both AEO-PEMFC and PSO-PEMFC provide the needed boost of voltage in the single line-to-ground faults (SLGF) scenario by 100.00%. For double line-to-ground faults (DLGF) scenario, a voltage boost of 99.56% and 98.39% is achieved while a voltage boost of 98.50% and 97.45% for the three line-to-ground faults (TLGF) scenario is obtained by the AEO-PEMFC and PSO-PEMFC, respectively.