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Dr. Mujahed Aldhaifallah
King Fahd University of Petroleum and Minerals

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0 Artificial Intelligence
0 Optimization
0 Control systems
0 nonlinear systems identification
0 renewable energy.

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Optimization
renewable energy.
nonlinear systems identification

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Journal article
Published: 29 June 2021 in IEEE Access
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The article considers the problem of image recognition in computer vision systems. The results of the development of the method for image classification, using a structural approach, are presented. The classification method is based on calculating the values of statistical distributions for the set of description descriptors. The distribution vector for a fixed set of classes is based on the calculation of the degree of similarity with the integral characteristics for the descriptions of the etalon base. Two options for constructing the classifier on the principles of object – etalon and object descriptor – etalon, which differ in the degree of integration of the solution, are proposed. The median for the set of vectors describing the etalon is used as the aggregate characteristic of the etalon descriptions. The experimental evaluation of the effectiveness of the developed classifiers in terms of verification of performance and evaluation of the probability of correct classification according to the results of processing of applied images based on three etalons are carried out. The values of precision and completeness indicators for the method object descriptor – etalon, which has demonstrated the significant advantage over the integrated approach, are given. At the same time, both proposed in the experiment methods classify the set of etalons without error. The methods of mathematical statistics, intellectual data analysis, image recognition, the apparatus for calculating the relevance of the system of the features, as well as simulation modelling, are used in this research. Based on the study and the experiment, it was found that the processing time of the images for the developed method is approximately 7 times less than for the traditional method, without reducing the accuracy. The perspective of further research is to study the interference immunity of the developed methods and evaluate their applied effectiveness for three-dimensional image collections.

ACS Style

Yousef Ibrahim Daradkeh; Volodymyr Gorokhovatskyi; Iryna Tvoroshenko; Svitlana Gadetska; Mujahed Al-Dhaifallah. Methods of Classification of Images on the Basis of the Values of Statistical Distributions for the Composition of Structural Description Components. IEEE Access 2021, 9, 1 -1.

AMA Style

Yousef Ibrahim Daradkeh, Volodymyr Gorokhovatskyi, Iryna Tvoroshenko, Svitlana Gadetska, Mujahed Al-Dhaifallah. Methods of Classification of Images on the Basis of the Values of Statistical Distributions for the Composition of Structural Description Components. IEEE Access. 2021; 9 ():1-1.

Chicago/Turabian Style

Yousef Ibrahim Daradkeh; Volodymyr Gorokhovatskyi; Iryna Tvoroshenko; Svitlana Gadetska; Mujahed Al-Dhaifallah. 2021. "Methods of Classification of Images on the Basis of the Values of Statistical Distributions for the Composition of Structural Description Components." IEEE Access 9, no. : 1-1.

Research article
Published: 28 February 2021 in Mathematical Problems in Engineering
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A common process control application is the cascaded two-tank system, where the level is controlled in the second tank. A nonlinear system identification approach is presented in this work to predict the model structure parameters that minimize the difference between the estimated and measured data, using benchmark datasets. The general suggested structure consists of a static nonlinearity in cascade with a linear dynamic filter in addition to colored noise element. A one-step ahead prediction error-based technique is proposed to estimate the model. The model is identified using a separable least squares optimization, where only the parameters that appear nonlinearly in the output of the predictor are solved using a modified Levenberg–Marquardt iterative optimization approach, while the rest are fitted using simple least squares after each iteration. Finally, MATLAB simulation examples using benchmark data are included.

ACS Style

Ibrahim A. Aljamaan; Mujahed M. Al-Dhaifallah; David T. Westwick. Hammerstein Box-Jenkins System Identification of the Cascaded Tanks Benchmark System. Mathematical Problems in Engineering 2021, 2021, 1 -8.

AMA Style

Ibrahim A. Aljamaan, Mujahed M. Al-Dhaifallah, David T. Westwick. Hammerstein Box-Jenkins System Identification of the Cascaded Tanks Benchmark System. Mathematical Problems in Engineering. 2021; 2021 ():1-8.

Chicago/Turabian Style

Ibrahim A. Aljamaan; Mujahed M. Al-Dhaifallah; David T. Westwick. 2021. "Hammerstein Box-Jenkins System Identification of the Cascaded Tanks Benchmark System." Mathematical Problems in Engineering 2021, no. : 1-8.

Journal article
Published: 22 January 2021 in Energy Reports
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Modeling of solar photovoltaic (PV) cell/modules to estimate its parameters with the measured current–voltage (I–V ) values is a very important issue for the control, optimization, and effectiveness of the PV systems. Therefore, in this research work, a robust approach based on Stochastic Fractal Search (SFS) optimization algorithm is introduced to estimate accurate and reliable values of solar PV parameters for its precise modeling. To assess the excellence of the proposed SFS algorithm, different solar PV equivalent circuit models, i.e. single-diode model (SDM), double-diode model (DDM), and PV module model are taken into consideration. The introduced algorithm is examined under three different case studies; (i) first case study: an experimental standard dataset of a commercial R.T.C. France silicon solar cell working at 33°C, and solar radiance of 1000 W/m2; (ii) second case study: using a polycrystalline solar panel STP6 120/36 with 36 cells in series working at 22°C, and (iii) third case study: an experimental dataset of ESP-160 PPW PV module working at 45°C, this experimentation were carried out in the Laboratory of Renewable Energy at Assiut University, Egypt. The results obtained using the proposed method are compared with other recently published works, and hence, the achieved results show the superiority, perfectness, and effective modeling concerning various performance parameters. Thereby, the proposed SFS approach can be used for effective PV modeling to improve the efficiency of the PV system.

ACS Style

Hegazy Rezk; Thanikanti Sudhakar Babu; Mujahed Al-Dhaifallah; Hamdy A. Ziedan. A robust parameter estimation approach based on stochastic fractal search optimization algorithm applied to solar PV parameters. Energy Reports 2021, 7, 620 -640.

AMA Style

Hegazy Rezk, Thanikanti Sudhakar Babu, Mujahed Al-Dhaifallah, Hamdy A. Ziedan. A robust parameter estimation approach based on stochastic fractal search optimization algorithm applied to solar PV parameters. Energy Reports. 2021; 7 ():620-640.

Chicago/Turabian Style

Hegazy Rezk; Thanikanti Sudhakar Babu; Mujahed Al-Dhaifallah; Hamdy A. Ziedan. 2021. "A robust parameter estimation approach based on stochastic fractal search optimization algorithm applied to solar PV parameters." Energy Reports 7, no. : 620-640.

Journal article
Published: 01 January 2021 in Computers, Materials & Continua
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ACS Style

Hegazy Rezk; Irik Z. Mukhametzyanov; Mujahed Al-Dhaifallah; Hamdy A. Ziedan. Optimal Selection of Hybrid Renewable Energy System Using Multi-Criteria Decision-Making Algorithms. Computers, Materials & Continua 2021, 68, 2001 -2027.

AMA Style

Hegazy Rezk, Irik Z. Mukhametzyanov, Mujahed Al-Dhaifallah, Hamdy A. Ziedan. Optimal Selection of Hybrid Renewable Energy System Using Multi-Criteria Decision-Making Algorithms. Computers, Materials & Continua. 2021; 68 (2):2001-2027.

Chicago/Turabian Style

Hegazy Rezk; Irik Z. Mukhametzyanov; Mujahed Al-Dhaifallah; Hamdy A. Ziedan. 2021. "Optimal Selection of Hybrid Renewable Energy System Using Multi-Criteria Decision-Making Algorithms." Computers, Materials & Continua 68, no. 2: 2001-2027.

Journal article
Published: 01 January 2021 in Computers, Materials & Continua
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ACS Style

Hamdy A. Ziedan; Hegazy Rezk; Mujahed Al-Dhaifallah. Accurate Fault Location Modeling for Parallel Transmission Lines Considering Mutual Effect. Computers, Materials & Continua 2021, 67, 491 -518.

AMA Style

Hamdy A. Ziedan, Hegazy Rezk, Mujahed Al-Dhaifallah. Accurate Fault Location Modeling for Parallel Transmission Lines Considering Mutual Effect. Computers, Materials & Continua. 2021; 67 (1):491-518.

Chicago/Turabian Style

Hamdy A. Ziedan; Hegazy Rezk; Mujahed Al-Dhaifallah. 2021. "Accurate Fault Location Modeling for Parallel Transmission Lines Considering Mutual Effect." Computers, Materials & Continua 67, no. 1: 491-518.

Journal article
Published: 01 January 2021 in Intelligent Automation & Soft Computing
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ACS Style

Abdul-Wahid A. Saif; Mohammad Ataur-Rahman; Sami Elferik; Muhammad F. Mysorewala; Mujahed Al-Dhaifallah; Fouad Yacef. Multi-Model Fuzzy Formation Control of UAV Quadrotors. Intelligent Automation & Soft Computing 2021, 27, 817 -834.

AMA Style

Abdul-Wahid A. Saif, Mohammad Ataur-Rahman, Sami Elferik, Muhammad F. Mysorewala, Mujahed Al-Dhaifallah, Fouad Yacef. Multi-Model Fuzzy Formation Control of UAV Quadrotors. Intelligent Automation & Soft Computing. 2021; 27 (3):817-834.

Chicago/Turabian Style

Abdul-Wahid A. Saif; Mohammad Ataur-Rahman; Sami Elferik; Muhammad F. Mysorewala; Mujahed Al-Dhaifallah; Fouad Yacef. 2021. "Multi-Model Fuzzy Formation Control of UAV Quadrotors." Intelligent Automation & Soft Computing 27, no. 3: 817-834.

Journal article
Published: 13 December 2020 in International Journal of Environmental Research and Public Health
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Substances that do not degrade over time have proven to be harmful to the environment and are dangerous to living organisms. Being able to predict the biodegradability of substances without costly experiments is useful. Recently, the quantitative structure–activity relationship (QSAR) models have proposed effective solutions to this problem. However, the molecular descriptor datasets usually suffer from the problems of unbalanced class distribution, which adversely affects the efficiency and generalization of the derived models. Accordingly, this study aims at validating the performances of balanced random trees (RTs) and boosted C5.0 decision trees (DTs) to construct QSAR models to classify the ready biodegradation of substances and their abilities to deal with unbalanced data. The balanced RTs model algorithm builds individual trees using balanced bootstrap samples, while the boosted C5.0 DT is modeled using cost-sensitive learning. We employed the two-dimensional molecular descriptor dataset, which is publicly available through the University of California, Irvine (UCI) machine learning repository. The molecular descriptors were ranked according to their contributions to the balanced RTs classification process. The performance of the proposed models was compared with previously reported results. Based on the statistical measures, the experimental results showed that the proposed models outperform the classification results of the support vector machine (SVM), K-nearest neighbors (KNN), and discrimination analysis (DA). Classification measures were analyzed in terms of accuracy, sensitivity, specificity, precision, false positive rate, false negative rate, F1 score, receiver operating characteristic (ROC) curve, and area under the ROC curve (AUROC).

ACS Style

Alaa M. Elsayad; Ahmed M. Nassef; Mujahed Al-Dhaifallah; Khaled A. Elsayad. Classification of Biodegradable Substances Using Balanced Random Trees and Boosted C5.0 Decision Trees. International Journal of Environmental Research and Public Health 2020, 17, 9322 .

AMA Style

Alaa M. Elsayad, Ahmed M. Nassef, Mujahed Al-Dhaifallah, Khaled A. Elsayad. Classification of Biodegradable Substances Using Balanced Random Trees and Boosted C5.0 Decision Trees. International Journal of Environmental Research and Public Health. 2020; 17 (24):9322.

Chicago/Turabian Style

Alaa M. Elsayad; Ahmed M. Nassef; Mujahed Al-Dhaifallah; Khaled A. Elsayad. 2020. "Classification of Biodegradable Substances Using Balanced Random Trees and Boosted C5.0 Decision Trees." International Journal of Environmental Research and Public Health 17, no. 24: 9322.

Journal article
Published: 01 November 2020 in Energy Reports
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Against the backdrop of the ever growing scientific and public interest in locating alternative sources of clean energy, geared toward the overarching objective of mitigating the harmful implications of greenhouse effects on the environment, this paper proposes one such alternative. In capturing the environmental benefits to be gained from waste heat recovered during a cement industrial process, this paper demonstrates how an Organic Rankine Cycle (ORC) can be a viable source of power production. This owes to its ability to expend both medium and high-grade temperature heat sources. In the process of design and experimentation, this study adopted a hybrid solution using waste heat recovery (WHR) that was combined with a solar field, to transform power in the ORC through a thermal oil loop and produce electricity. The WHR was taken from flue gases of a rotary kiln found in cement industrial processes but that also has the advantage of working across a range of temperatures. These ranged from 250 °C to 380 °C. The solar domain incorporated a Parabolic-Trough Solar Collector (PTSC), with the working fluid R245fa. The performance of each component was then analyzed and optimized. The concluding results of this study evidences that an ORC can ultimately be of significant benefit to industry both economically and environmentally, by generating up to 323 to 360 kW of electricity that is required to power a cement plant, while providing for a payback time period within the range of 3.75 years and a net saving of 280,000 $/year.

ACS Style

Mohamed R. Gomaa; Ramadan J. Mustafa; Mujahed Al-Dhaifallah; Hegazy Rezk. A low-grade heat Organic Rankine Cycle driven by hybrid solar collectors and a waste heat recovery system. Energy Reports 2020, 6, 3425 -3445.

AMA Style

Mohamed R. Gomaa, Ramadan J. Mustafa, Mujahed Al-Dhaifallah, Hegazy Rezk. A low-grade heat Organic Rankine Cycle driven by hybrid solar collectors and a waste heat recovery system. Energy Reports. 2020; 6 ():3425-3445.

Chicago/Turabian Style

Mohamed R. Gomaa; Ramadan J. Mustafa; Mujahed Al-Dhaifallah; Hegazy Rezk. 2020. "A low-grade heat Organic Rankine Cycle driven by hybrid solar collectors and a waste heat recovery system." Energy Reports 6, no. : 3425-3445.

Research article
Published: 18 September 2020 in International Journal of Energy Research
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Preparing a cost‐effective, active, stable, non‐precious catalyst, especially at the cathode, is one of the basic requirements for the commercialization of fuel cells (FCs). In this study, cobalt nanoparticles composite with titanium nitride (TiN) were prepared on the surface of reduced graphene oxide, using a facile hydrothermal method, followed by heat treatment under an inert atmosphere. The surface morphology, surface composition, and crystalline structure are investigated with the use of field emission‐scanning electron microscopy, X‐ray photoelectron spectroscopy, and X‐ray diffraction, respectively. The oxygen reduction reaction (ORR) activity is examined in sulfuric acid (0.5 M H2SO4), under nitrogen and oxygen bubbling. Results showed that there is an optimum ratio of the Co and the TiN that maximizes the ORR activity. A high onset potential of 0.926 V vs Ag/AgCl is obtained in the case of CoTiN (30)/Gr. This is much higher than that of commercial Pt/C catalyst (0.576 V vs Ag/AgCl). The prepared catalyst has no activity towards methanol oxidation, unlike the Pt/C catalyst. Thus, it considered a promising cathode catalyst for direct alcoholic FCs. Furthermore, the composite catalyst has a high stability, with no activity degradation occurring even after 1000 cycles. This is extremely effective compared to the 20% loss of Pt/C activity under the same operating conditions. The high performance of the prepared catalyst is related to the synergetic effect between the TiN and the Cobalt.

ACS Style

Mujahed Al‐Dhaifallah; Mohammad Ali Abdelkareem; Hegazy Rezk; Hesham Alhumade; Ahmed M. Nassef; Abdul Ghani Olabi. Co‐decorated reduced graphene/titanium nitride composite as an active oxygen reduction reaction catalyst with superior stability. International Journal of Energy Research 2020, 45, 1587 -1598.

AMA Style

Mujahed Al‐Dhaifallah, Mohammad Ali Abdelkareem, Hegazy Rezk, Hesham Alhumade, Ahmed M. Nassef, Abdul Ghani Olabi. Co‐decorated reduced graphene/titanium nitride composite as an active oxygen reduction reaction catalyst with superior stability. International Journal of Energy Research. 2020; 45 (2):1587-1598.

Chicago/Turabian Style

Mujahed Al‐Dhaifallah; Mohammad Ali Abdelkareem; Hegazy Rezk; Hesham Alhumade; Ahmed M. Nassef; Abdul Ghani Olabi. 2020. "Co‐decorated reduced graphene/titanium nitride composite as an active oxygen reduction reaction catalyst with superior stability." International Journal of Energy Research 45, no. 2: 1587-1598.

Journal article
Published: 31 August 2020 in Energies
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In this study, a simulation-based coyote optimization algorithm (COA) to identify the gains of PI to ameliorate the water-pumping system performance fed from the photovoltaic system is presented. The aim is to develop a stand-alone water-pumping system powered by solar energy, i.e., without the need of electric power from the utility grid. The voltage of the DC bus was adopted as a good candidate to guarantee the extraction of the maximum power under partial shading conditions. In such a system, two proportional-integral (PI) controllers, at least, are necessary. The adjustment of (Proportional-Integral) controllers are always carried out by classical and tiresome trials and errors techniques which becomes a hard task and time-consuming. In order to overcome this problem, an optimization problem was reformulated and modeled under functional time-domain constraints, aiming at tuning these decision variables. For achieving the desired operational characteristics of the PV water-pumping system for both rotor speed and DC-link voltage, simultaneously, the proposed COA algorithm is adopted. It is carried out through resolving a multiobjective optimization problem employing the weighted-sum technique. Inspired on the Canis latrans species, the COA algorithm is successfully investigated to resolve such a problem by taking into account some constraints in terms of time-domain performance as well as producing the maximum power from the photovoltaic generation system. To assess the efficiency of the suggested COA method, the classical Ziegler–Nichols and trial–error tuning methods for the DC-link voltage and rotor speed dynamics, were compared. The main outcomes ensured the effectiveness and superiority of the COA algorithm. Compared to the other reported techniques, it is superior in terms of convergence rapidity and solution qualities.

ACS Style

Jouda Arfaoui; Hegazy Rezk; Mujahed Al-Dhaifallah; Mohamed N. Ibrahim; Mami Abdelkader. Simulation-Based Coyote Optimization Algorithm to Determine Gains of PI Controller for Enhancing the Performance of Solar PV Water-Pumping System. Energies 2020, 13, 4473 .

AMA Style

Jouda Arfaoui, Hegazy Rezk, Mujahed Al-Dhaifallah, Mohamed N. Ibrahim, Mami Abdelkader. Simulation-Based Coyote Optimization Algorithm to Determine Gains of PI Controller for Enhancing the Performance of Solar PV Water-Pumping System. Energies. 2020; 13 (17):4473.

Chicago/Turabian Style

Jouda Arfaoui; Hegazy Rezk; Mujahed Al-Dhaifallah; Mohamed N. Ibrahim; Mami Abdelkader. 2020. "Simulation-Based Coyote Optimization Algorithm to Determine Gains of PI Controller for Enhancing the Performance of Solar PV Water-Pumping System." Energies 13, no. 17: 4473.

Journal article
Published: 26 August 2020 in Mathematics
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This paper proposes a novel photovoltaic water pumping system (PVWPS) with an improved performance and cost. This system doesn’t contain a DC-DC converter, batteries nor rare-earth motors. Removing the aforementioned components will reduce the whole cost and increase the reliability of the system. For enhancing the performance of the PVWPS, a ferrite magnet synchronous reluctance motor (FMSynRM) is employed. Besides, the motor inverter is utilized to drive the motor properly and to extract the maximum available power of the PV system. This is performed using a suggested control strategy that controls the motor inverter. Furthermore, to show the effectiveness of the proposed PVWPS, the performance of the proposed system is benchmarked with a PVWPS that is employing a pure SynRM. Moreover, the complete mathematical model of the system components and the control is reported. It is proved that the flow rate employing the proposed system is increased by about 29.5% at a low irradiation level (0.25 kW/m2) and 15% at a high irradiation level (1 kW/m2) compared to the conventional solar system using a pure synchronous reluctance motor (SynRM). An experimental laboratory test bench is built to validate the theoretical results presented in this research work. Good agreement between the theoretical and the experimental results is proved.

ACS Style

Mohamed N. Ibrahim; Hegazy Rezk; Mujahed Al-Dhaifallah; Peter Sergeant. Modelling and Design Methodology of an Improved Performance Photovoltaic Pumping System Employing Ferrite Magnet Synchronous Reluctance Motors. Mathematics 2020, 8, 1429 .

AMA Style

Mohamed N. Ibrahim, Hegazy Rezk, Mujahed Al-Dhaifallah, Peter Sergeant. Modelling and Design Methodology of an Improved Performance Photovoltaic Pumping System Employing Ferrite Magnet Synchronous Reluctance Motors. Mathematics. 2020; 8 (9):1429.

Chicago/Turabian Style

Mohamed N. Ibrahim; Hegazy Rezk; Mujahed Al-Dhaifallah; Peter Sergeant. 2020. "Modelling and Design Methodology of an Improved Performance Photovoltaic Pumping System Employing Ferrite Magnet Synchronous Reluctance Motors." Mathematics 8, no. 9: 1429.

Journal article
Published: 21 August 2020 in Mathematics
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Global warming is the greatest challenge faced by humankind, and the only way to reduce or totally eliminate its effects is by minimizing CO2 emissions. Electrostatic precipitators are very useful as a means to reduce emissions from heavy industry factories. This paper aims to examine the performance of wire-duct electrostatic precipitators (WDESP) as affected by high-temperature incoming gases with a varying number of discharge wires while increasing their radius. The precipitator performance is expressed in terms of the corona onset voltage on the stressed wires and the corona current–voltage (I–V) characteristic of the precipitators working with incoming gases at high temperatures. The start of the corona onset voltage on the surface of the discharge wires is calculated for the precipitators under high temperatures based on the standard of the self-repeat of avalanches’ electrons developing on the surface of the stressed wires at high temperatures. For this, calculating the electrostatic field in the precipitators with single- and multi-discharge wires due to the stressed wire with the use of the well-known charge simulation method (CSM) with high-temperature incoming gases is important. The modeling of corona I–V characteristics is adopted using the finite element method (FEM) for single- and multi- (3-, 5-, and 7-) discharge wires of WDESP with high-temperature incoming gases. Additionally, the electrostatic field, potential, and space charge of WDESP are calculated by a simultaneous solution of equations of Poisson, current density, and the continuity current density. A WDESP was set up in the Laboratory of High Voltage Engineering of Czech Technical University (CTU) in Prague, the Czech Republic, to measure the corona onset voltage values and corona I–V characteristics for different WDESP configurations at high temperatures with a varying number of discharge wires while increasing their radius. The calculated values of the corona onset voltage based on CSM and the calculated corona I–V characteristics based on FEM agree reasonably with those measured experimentally with high-temperature WDESP.

ACS Style

Hamdy A. Ziedan; Hegazy Rezk; Mujahed Al-Dhaifallah; Emad H. El-Zohri. Finite Element Solution of the Corona Discharge of Wire-Duct Electrostatic Precipitators at High Temperatures—Numerical Computation and Experimental Verification. Mathematics 2020, 8, 1406 .

AMA Style

Hamdy A. Ziedan, Hegazy Rezk, Mujahed Al-Dhaifallah, Emad H. El-Zohri. Finite Element Solution of the Corona Discharge of Wire-Duct Electrostatic Precipitators at High Temperatures—Numerical Computation and Experimental Verification. Mathematics. 2020; 8 (9):1406.

Chicago/Turabian Style

Hamdy A. Ziedan; Hegazy Rezk; Mujahed Al-Dhaifallah; Emad H. El-Zohri. 2020. "Finite Element Solution of the Corona Discharge of Wire-Duct Electrostatic Precipitators at High Temperatures—Numerical Computation and Experimental Verification." Mathematics 8, no. 9: 1406.

Journal article
Published: 10 August 2020 in Processes
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The productivity of the capacitive deionization (CDI) system is enhanced by determining the optimum operational and structural parameters using radial movement optimization (RMO) algorithm. Six different parameters, i.e., pool water concentration, freshwater recovery, salt ion adsorption, lowest concentration point, volumetric (based on the volume of deionized water), and gravimetric (based on salt removed) energy consumptions are used to evaluate the performance of the CDI process. During the optimization process, the decision variables are represented by the applied voltage, capacitance, flow rate, spacer volume, and cell volume. Two different optimization techniques are considered: single-objective and multi-objective functions. The obtained results by RMO optimizer are compared with those obtained using a genetic algorithm (GA). The results demonstrated that the RMO optimization technique is useful in exploring all possibilities and finding the optimum conditions for operating the CDI unit in a faster and accurate method.

ACS Style

Hegazy Rezk; Muhammad Wajid Saleem; Mohammad Ali Abdelkareem; Mujahed Al-Dhaifallah. Radial Movement Optimization Based Optimal Operating Parameters of a Capacitive Deionization Desalination System. Processes 2020, 8, 964 .

AMA Style

Hegazy Rezk, Muhammad Wajid Saleem, Mohammad Ali Abdelkareem, Mujahed Al-Dhaifallah. Radial Movement Optimization Based Optimal Operating Parameters of a Capacitive Deionization Desalination System. Processes. 2020; 8 (8):964.

Chicago/Turabian Style

Hegazy Rezk; Muhammad Wajid Saleem; Mohammad Ali Abdelkareem; Mujahed Al-Dhaifallah. 2020. "Radial Movement Optimization Based Optimal Operating Parameters of a Capacitive Deionization Desalination System." Processes 8, no. 8: 964.

Journal article
Published: 05 July 2020 in Mathematics
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This paper presents a multi-objective economic-environmental dispatch (MOEED) model for integrated thermal, natural gas, and renewable energy systems considering both pollutant emission levels and total fuel or generation cost aspects. Two cases are carried out with the IEEE 30-bus system by replacing thermal generation units into natural gas units to minimize the amount of toxin emission and fuel cost. Equality, inequality like active, reactive powers, prohibited operating zones (POZs) which represents poor operation in the generation cost function, and security constraints are considered as system constraints. Natural gas units (NGUs) are modeled in detail. Therefore, the flow velocity of gas and pressure pipelines are also considered as system constraints. Multi-objective optimization algorithms, namely multi-objective Harris hawks optimization (MOHHO) and multi-objective flower pollination algorithm (MOFPA) are employed to find Pareto optimal solutions of fuel or generation cost and emission together. Furthermore, the technique for order preference by similarity to ideal solution (TOPSIS) is proposed to obtain the best value of Pareto optimal solutions. Three scenarios are investigated to validate the effectiveness of the proposed model applied to the IEEE 30-bus system with the integration of variable renewable energy sources (VRESs) and natural gas units. The results obtained from Scenario III with NGUs installed instead of two thermal units reveal that the economic dispatching approach presented in this work can greatly minimize emission levels as 0.421 t/h and achieve lower fuel cost as 796.35 $/h. Finally, the results obtained show that the MOHHO outperforms the MOFPA in solving the MOEED problem.

ACS Style

Ahmed I. Omar; Ziad M. Ali; Mostafa Al-Gabalawy; Shady H. E. Abdel Aleem; Mujahed Al-Dhaifallah. Multi-Objective Environmental Economic Dispatch of an Electricity System Considering Integrated Natural Gas Units and Variable Renewable Energy Sources. Mathematics 2020, 8, 1100 .

AMA Style

Ahmed I. Omar, Ziad M. Ali, Mostafa Al-Gabalawy, Shady H. E. Abdel Aleem, Mujahed Al-Dhaifallah. Multi-Objective Environmental Economic Dispatch of an Electricity System Considering Integrated Natural Gas Units and Variable Renewable Energy Sources. Mathematics. 2020; 8 (7):1100.

Chicago/Turabian Style

Ahmed I. Omar; Ziad M. Ali; Mostafa Al-Gabalawy; Shady H. E. Abdel Aleem; Mujahed Al-Dhaifallah. 2020. "Multi-Objective Environmental Economic Dispatch of an Electricity System Considering Integrated Natural Gas Units and Variable Renewable Energy Sources." Mathematics 8, no. 7: 1100.

Journal article
Published: 03 July 2020 in Sustainability
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This work presents performance study of a concentrating photovoltaic/thermal (CPV/T) collector and its efficiency to produce electric and thermal power under different operating conditions. The study covers a detailed description of flat photovoltaic/thermal (PV/T) and CPV/T systems using water as a cooling working fluid, numerical model analysis, and qualitative evaluation of thermal and electrical output. The aim of this study was to achieve higher efficiency of the photovoltaic (PV) system while reducing the cost of generating power. Concentrating photovoltaic (CPV) cells with low-cost reflectors were used to enhance the efficiency of the PV system and simultaneously reduce the cost of electricity generation. For this purpose, a linear Fresnel flat mirror (LFFM) integrated with a PV system was used for low-concentration PV cells (LCPV). To achieve the maximum benefit, water as a coolant fluid was used to study the ability of actively cooling PV cells, since the electrical power of the CPV system is significantly affected by the temperature of the PV cells. This system was characterized over the traditional PV systems via producing more electrical energy due to concentrating the solar radiation as well as cooling the PV modules and at the same time producing thermal energy that can be used in domestic applications. During the analysis of the results of the proposed system, it was found that the maximum electrical and thermal energy obtained were 170 W and 580 W, respectively, under solar concentration ratio 3 and the flow rate of the cooling water 1 kg/min. A good agreement between the theoretical and experimental results was confirmed.

ACS Style

Mohamed R. Gomaa; Mujahed Al-Dhaifallah; Ali Alahmer; Hegazy Rezk. Design, Modeling, and Experimental Investigation of Active Water Cooling Concentrating Photovoltaic System. Sustainability 2020, 12, 5392 .

AMA Style

Mohamed R. Gomaa, Mujahed Al-Dhaifallah, Ali Alahmer, Hegazy Rezk. Design, Modeling, and Experimental Investigation of Active Water Cooling Concentrating Photovoltaic System. Sustainability. 2020; 12 (13):5392.

Chicago/Turabian Style

Mohamed R. Gomaa; Mujahed Al-Dhaifallah; Ali Alahmer; Hegazy Rezk. 2020. "Design, Modeling, and Experimental Investigation of Active Water Cooling Concentrating Photovoltaic System." Sustainability 12, no. 13: 5392.

Journal article
Published: 22 June 2020 in IEEE Access
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This paper presents a recent metaheuristic optimization approach of multi-verse optimizer (MVO) to design load frequency control (LFC) based model predictive control (MPC) incorporated in large multi-interconnected system. The constructed system comprises six plants with renewable energy sources (RESs). MVO is employed to determine the optimal parameters of MPC-LFC to achieve the desired output of the interconnected system in case of load disturbances. The presented system comprises reheat thermal, hydro, photovoltaic (PV) model with maximum power point tracker (MPPT), wind turbine (WT), diesel generation (DG), and superconducting magnetic energy storage (SMES). The integral time absolute error (ITAE) of the frequencies and tie-line powers deviations is proposed as objective function. The effects of governor dead zone and generation rate constraint (GRC) of thermal plants are considered. The performance of the proposed MPC optimized via MVO is compared with the other designed via intelligent water drops (IWD) and genetic algorithm (GA). Additionally, the robustness of the proposed MPC-LFC based MVO with variation of the system parameters is presented. The obtained results confirmed the superiority and reliability of the proposed controller compared to the others.

ACS Style

Hossam Hassan Ali; Ahmed M. Kassem; Mujahed Al-Dhaifallah; Ahmed Fathy. Multi-Verse Optimizer for Model Predictive Load Frequency Control of Hybrid Multi-Interconnected Plants Comprising Renewable Energy. IEEE Access 2020, 8, 114623 -114642.

AMA Style

Hossam Hassan Ali, Ahmed M. Kassem, Mujahed Al-Dhaifallah, Ahmed Fathy. Multi-Verse Optimizer for Model Predictive Load Frequency Control of Hybrid Multi-Interconnected Plants Comprising Renewable Energy. IEEE Access. 2020; 8 (99):114623-114642.

Chicago/Turabian Style

Hossam Hassan Ali; Ahmed M. Kassem; Mujahed Al-Dhaifallah; Ahmed Fathy. 2020. "Multi-Verse Optimizer for Model Predictive Load Frequency Control of Hybrid Multi-Interconnected Plants Comprising Renewable Energy." IEEE Access 8, no. 99: 114623-114642.

Journal article
Published: 01 June 2020 in IEEE Access
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This research work aims to provide detailed feasibility, a techno-economic evaluation, and energy management of stand-alone hybrid photovoltaic-diesel-battery (PV/DG/B) system. The proposed system can be applied to supply a specific load that is far away from the utility grid (UG) connection, and it is located in Minya city, Egypt, as a real case study. The daily required desalinated water is 250 m3. The total brackish water demands are 350-500 m3 and 250-300 m3 of water in summer and winter seasons, respectively. Two different sizes of reverse osmosis (RO) units; RO-250 and RO-500, two energy control dispatch strategies; load following (LF) and cycle charging (CC); two sizes of DG; 5 kW and 10 kW are considered in the case study. The cost of energy, renewable fraction, environmental impact, and breakeven grid extension distance are the main criteria that have been considered to determine the optimal size of PV/DG/B to supply the load demand. HOMER® software is used to perform the simulation and optimization. For this case study, the minimum cost of energy and the minimum total present cost are 0.074 $/kWh and 207676 $, respectively. This is achieved by using a RO-500 unit and a LF dispatch control strategy. The related sizes to the best option of PV/DG/B are 120 kW PV array, 10 kW DG, 64 batteries, and 50 kW converter. A comparison with grid extension and installing stand-alone diesel generation is also carried out. The results of comparison have confirmed that the grid connection is better than all considered options using the RO-250 unit. However, for the RO-500 unit, all options of hybrid PV/DG/B are more economically feasible compared with grid connection, and the best cost-effective option is the one including LF strategy with 10 kW DG. Stand-alone diesel generator produces 119110 kg/year and 117677 kg/year of CO2 respectively for RO-250 and RO-500.

ACS Style

Hegazy Rezk; Mujahed Al-Dhaifallah; Yahia B. Hassan; Hamdy A. Ziedan. Optimization and Energy Management of Hybrid Photovoltaic-Diesel-Battery System to Pump and Desalinate Water at Isolated Regions. IEEE Access 2020, 8, 102512 -102529.

AMA Style

Hegazy Rezk, Mujahed Al-Dhaifallah, Yahia B. Hassan, Hamdy A. Ziedan. Optimization and Energy Management of Hybrid Photovoltaic-Diesel-Battery System to Pump and Desalinate Water at Isolated Regions. IEEE Access. 2020; 8 (99):102512-102529.

Chicago/Turabian Style

Hegazy Rezk; Mujahed Al-Dhaifallah; Yahia B. Hassan; Hamdy A. Ziedan. 2020. "Optimization and Energy Management of Hybrid Photovoltaic-Diesel-Battery System to Pump and Desalinate Water at Isolated Regions." IEEE Access 8, no. 99: 102512-102529.

Journal article
Published: 15 May 2020 in IEEE Access
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Controlled islanding is known as a last resort to prevent power system blackouts. The most important challenge in this context is the appropriate selection of separation points in a very short time considering the practical constraints. In this regard, several islanding methods have been proposed until now. Among them, the methods that provide the appropriate solutions are usually very complicated and difficult to implement in the real-time application of power system separation. Also, all methods result in one islanding solution, which may not be optimal due to the limitation of the commonly used objective function. To overcome these limitations and reach a comprehensive solution, this paper proposes a straightforward multi-solution approach through a suggested hierarchical spectral clustering algorithm. In this concept, the most desirable islanding scenario could be selected based on secondary criteria to reach more sustainable islands. In the proposed method, the hierarchical clustering algorithm, which has good records in other applications, is improved such that the generator coherency constraint can be considered in the clustering process. Meanwhile, the transmission lines without remote-controllable circuit breakers could be easily excluded from the islanding solutions. The proposed method is tested using the model of the IEEE 39-bus test system. Furthermore, to evaluate the computational effectiveness and accuracy of the method in a large-scale grid, the model of Khorasan Regional Electric Company (KREC) power system (which is the biggest part of Iran power system) is used. The comparative analysis with the state-of-the-art methods verifies the superiority of the proposed approach.

ACS Style

Mahdi Amini; Haidar Samet; Ali Reza Seifi; Mujahed Al-Dhaifallah; Ziad M. Ali. An Effective Multi-Solution Approach for Power System Islanding. IEEE Access 2020, 8, 93200 -93210.

AMA Style

Mahdi Amini, Haidar Samet, Ali Reza Seifi, Mujahed Al-Dhaifallah, Ziad M. Ali. An Effective Multi-Solution Approach for Power System Islanding. IEEE Access. 2020; 8 (99):93200-93210.

Chicago/Turabian Style

Mahdi Amini; Haidar Samet; Ali Reza Seifi; Mujahed Al-Dhaifallah; Ziad M. Ali. 2020. "An Effective Multi-Solution Approach for Power System Islanding." IEEE Access 8, no. 99: 93200-93210.

Journal article
Published: 06 May 2020 in Energies
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A novel circuit topology for an on-board battery charger for plugged-in electric vehicles (PEVs) is presented in this paper. The proposed on-board battery charger is composed of three H-bridges on the primary side, a high-frequency transformer (HFT), and a current doubler circuit on the secondary side of the HFT. As part of an electric vehicle (EV) on-board charger, it is required to have a highly compact and efficient, lightweight, and isolated direct current (DC)–DC converter to enable battery charging through voltage/current regulation. In this work, performance characteristics of full-bridge phase-shift topology are analyzed and compared for EV charging applications. The current doubler with synchronous rectification topology is chosen due to its wider-range soft-switching availability over the full load range, and potential for a smaller and more compact size. The design employs a phase-shift full-bridge topology in the primary power stage. The current doubler with synchronous recitation is placed on the secondary. Over 92% of efficiency is achieved on the isolated charger. Design considerations for optimized zero-voltage transition are disused.

ACS Style

Khairy Sayed; Ziad M. Ali; Mujahed AlDhaifallah. Phase-Shift PWM-Controlled DC–DC Converter with Secondary-Side Current Doubler Rectifier for On-Board Charger Application. Energies 2020, 13, 2298 .

AMA Style

Khairy Sayed, Ziad M. Ali, Mujahed AlDhaifallah. Phase-Shift PWM-Controlled DC–DC Converter with Secondary-Side Current Doubler Rectifier for On-Board Charger Application. Energies. 2020; 13 (9):2298.

Chicago/Turabian Style

Khairy Sayed; Ziad M. Ali; Mujahed AlDhaifallah. 2020. "Phase-Shift PWM-Controlled DC–DC Converter with Secondary-Side Current Doubler Rectifier for On-Board Charger Application." Energies 13, no. 9: 2298.

Journal article
Published: 20 April 2020 in Sustainability
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This research paper aimed to design and present a sensitivity analysis of a hybrid photovoltaic-fuel-cell-battery (PV/FC/B) system to supply a small community for the recently planned grand city NEOM in Saudi Arabia. The location of the city of NEOM is characterized by a high average level of solar irradiance. The average daily horizontal solar radiation is around 5.85 kWh/m2. A detailed feasibility and techno-economic evaluation of a PV/FC/B hybrid energy system were done to supply a daily load demand of 500 kWh (peak-35 kW). The PV array was the main source to meet the load demand. During the surplus periods, the battery was charged using extra energy and powered the electrolyzer for hydrogen production. The produced hydrogen was stored for later use. During the deficit periods, the FC and/or battery supported the PV array to meet the load demand. Two benchmarks, the cost of energy (COE) and net present cost (NPC), were used to identify the best size of the PV/FC/B system. Variation of the tilt angle of the PV array and the derating factor were considered to determine the effect of the performance of the PV/FC/B system’s COE and NPC. The main findings confirmed that a 200 kW PV array, 40 kW FC, 96 batteries, 50 kW converter, 110 kW electrolyzer, and 50 kg hydrogen tank was the best option to supply the load demand. The values of total NPC and COE were $500,823 and $0.126/kWh. The annual excess energy was very sensitive to the declination angle of the PV array. The minimum annual excess energy was achieved at an angle of 30 degrees. It decreased by 75.7% and by 60.6% compared to a horizontal surface and 50 degrees of declination, respectively. To prove the viability of the proposed system, a comparison with grid extension along with a diesel generation system was carried out.

ACS Style

Hegazy Rezk; N. Kanagaraj; Mujahed Al-Dhaifallah. Design and Sensitivity Analysis of Hybrid Photovoltaic-Fuel-Cell-Battery System to Supply a Small Community at Saudi NEOM City. Sustainability 2020, 12, 3341 .

AMA Style

Hegazy Rezk, N. Kanagaraj, Mujahed Al-Dhaifallah. Design and Sensitivity Analysis of Hybrid Photovoltaic-Fuel-Cell-Battery System to Supply a Small Community at Saudi NEOM City. Sustainability. 2020; 12 (8):3341.

Chicago/Turabian Style

Hegazy Rezk; N. Kanagaraj; Mujahed Al-Dhaifallah. 2020. "Design and Sensitivity Analysis of Hybrid Photovoltaic-Fuel-Cell-Battery System to Supply a Small Community at Saudi NEOM City." Sustainability 12, no. 8: 3341.