Article
Thermodynamics
Faiz Ali, Adil Sarwar, Farhad Ilahi Bakhsh, Shafiq Ahmad, Adam Ali Shah, Hafiz Ahmed
Summary: This study aims to introduce an optimization algorithm for extracting unknown parameters of solar cells. It is found that most methods for parameter extraction in the available literature have imprecise RMSE calculation. A new optimization algorithm, the Atomic Orbital Search, is proposed and compared with other algorithms, showing better performance in parameter extraction.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Energy & Fuels
Martin Calasan, Shady H. E. Abdel Aleem, Ahmed F. Zobaa
Summary: An approximated expression for the calculated solar cell current is used in parameters estimation of solar photovoltaic equivalent circuits. A novel iterative approach based on Lambert W function is proposed to calculate the solar cell current and RMSE values are computed using various optimization algorithms. The results show that the proposed algorithm achieves better solutions than other algorithms in the literature.
Article
Optics
S. Sreekantha Reddy, Chandrasekhar Yammani
Summary: Accurate modeling of the Photovoltaic (PV) module is crucial for fault location in the PV array and precise MPPT algorithm design. This paper proposes a Two-Step Linear Least Square Error (LLSE) method to extract PV module parameters without the need for datasheet information or initial parameter guesses. The proposed method demonstrated low Root-Mean-Square-Error (RMSE) for various PV modules and a Real-Time Clock France solar cell.
Article
Energy & Fuels
Hamza Belmadani, Aissa Kheldoun, Rafik Bradai, Saad Mekhilef, Marif Daula Siddique
Summary: The study presents an improved variant of the African Vultures Optimization Algorithm (IAVOA) for extracting the unknown parameters of photovoltaic models. The algorithm outperforms its competitors in terms of performance and accuracy, making it a promising tool for the design and optimization of photovoltaic systems.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2022)
Article
Engineering, Multidisciplinary
Baisheng Wu, Yixin Zhou, C. W. Lim, Huixiang Zhong
Summary: The Lambert W function, which is a multivalued inverse function, has various applications. A new method based on Pade approximation and Schroder's iteration is proposed to construct a high-precision analytical approximation for the two branches of the W function. This method can also be extended to solve other transcendental equations in science and engineering.
APPLIED MATHEMATICAL MODELLING
(2022)
Article
Engineering, Multidisciplinary
Ghareeb Moustafa, Hashim Alnami, Sultan Hassan Hakmi, Ahmed Ginidi, Abdullah M. Shaheen, Fahad A. Al-Mufadi
Summary: This paper introduces a new search algorithm, Mantis Search Algorithm (MSA), inspired by the unique foraging behaviors and sexual cannibalism of praying mantises. The MSA is shown to outperform other optimization algorithms in improving the performance of PV systems.
Article
Engineering, Electrical & Electronic
S. Sreekantha Reddy, Chandrasekhar Yammani
Summary: This paper proposes a new method using the forward-backward linear least square error (FB-LLSE) curve fitting method to estimate the parameters of a photovoltaic (PV) module, extracting parameters from experimental data and validating on three different modules and a solar cell, showing significant improvement in comparison to existing methods.
INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
(2022)
Article
Materials Science, Multidisciplinary
Showkat Ahmad Lone, Tabassum Naz Sindhu, Anum Shafiq, Fahd Jarad
Summary: This study proposes a new statistical model using a new alpha power transformation and the Gumbel Type-II distribution, and demonstrates its effectiveness and better fit compared to other models through simulation and real-life data analysis.
RESULTS IN PHYSICS
(2022)
Article
Electrochemistry
Mehdi Aliaghayee
Summary: In this study, the electrical characteristics and photovoltaic performance of a macro-porous silicon-based dye-sensitized solar cell (PSi-DSSC) were investigated using the Lambert W-function and a single-diode five-parameter model. The results showed that increasing the silicon porosity improved the cell performance.
JOURNAL OF SOLID STATE ELECTROCHEMISTRY
(2022)
Article
Energy & Fuels
Debayan Sarkar, Anand Kumar, Pradip Kumar Sadhu
Summary: This study presents diode modeling and comparative analysis of various types of BIPV systems using the Lambert W function. The main aim is to analyze 115 Wp and 130 Wp BIPV modules and compare the accuracy and extraction of unknown parameters.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Energy & Fuels
Jianing Li, Cheng Qin, Chen Yang, Bin Ai, Yecheng Zhou
Summary: In this study, the explicit equation of the single diode model (SDM) was simplified using variable replacement and combined with an intelligent optimization algorithm to estimate SDM parameters for solar cells and PV modules. The results showed improved accuracy, robustness, and convergence speed compared to traditional methods. Importantly, the new method can enhance the parameter extraction accuracy of poor-performing algorithms to match well-performing algorithms without modifying the algorithms themselves. Overall, this study provides a more accurate and reliable approach for extracting SDM parameters from solar cells and PV modules.
Article
Biochemistry & Molecular Biology
Satyamvada Maurya, Amita Jain, Md Tabish Rehman, Ali Hakamy, Farkad Bantun, Mohamed F. AlAjmi, Vineeta Singh, Aafreen Zehra, Feroz Khan, Shafiul Haque, Bhartendu Nath Mishra
Summary: This study aimed to identify potential new drug targets/candidates for multi-drug-resistant Mycobacterium tuberculosis (Mtb) through computational techniques. The protein structure of ribonuclease VapC2 of Mtb H37Rv was analyzed, and docking studies were performed with 22 anti-TB drugs. Rifampicin showed the best binding energy and was selected as the parent molecule for designing derivatives. One of the derivatives, RIF-155841, showed activity in inhibiting VapC2. Molecular dynamics simulations confirmed the stability of the VapC2-RIF155841 complex, and a chemical synthesis scheme was designed for future validation.
Article
Virology
Nasrullah Khan, Asma Arshad, Muhammad Azam, Ali Hussein Al-marshadi, Muhammad Aslam
Summary: The COVID-19 pandemic has had a significant impact globally, leading researchers and governments to seek ways to control the spread of the virus and accelerate the treatment process. To effectively predict the development trend of the pandemic and reduce losses, they have developed a forecasting model to help researchers, governments, and others devise response strategies.
JOURNAL OF MEDICAL VIROLOGY
(2022)
Article
Engineering, Mechanical
Alix de Pannemaecker, Helmi Attia, Gary Williams
Summary: This work presents a methodology for analyzing random fretting wear damage accumulation under true random vibrations, based on the identification of the RMS displacement response to a random Gaussian excitation. By applying Fourier transform and Power Spectral Density, the random signal can be decomposed into sine components, allowing for new simplified approximations of work rate and accumulated dissipated energy. Tests using a Gaussian acceleration-control strategy showed very good correlations between real test conditions and simulated cases, validating the proposed energy-based characterization parameter.
Article
Mathematics
Showkat Ahmad Lone, Tabassum Naz Sindhu, Marwa K. H. Hassan, Tahani A. A. Abushal, Sadia Anwar, Anum Shafiq
Summary: Statistical models are crucial for data analysis, and researchers are always looking for potential or the latest statistical models to fit different data sets. In this investigation, a T-X transformation and the Gumbel Type-II model were used to create an improved statistical model. Simulation evaluation was conducted to assess the efficacy of the parameters. Two actual data sets were utilized to demonstrate the application of the T-X approach in producing the new and improved Gumbel Type-II (NIGT-II) distribution, and the results suggest that the NIGT-II distribution outperforms the Gumbel Type-II distribution.
Article
Engineering, Multidisciplinary
Ehab M. Esmail, Abdulaziz Almalaq, Khalid Alqunun, Ziad M. Ali, Shady H. E. Abdel Aleem
Summary: This paper introduces fault type identification, fault section selection, and fault phase selectivity using a Karen Bell Transformation matrix in earthed distribution grids coupled with Doubly Fed Induction Generator (DFIG). The Rogowski Coil's (RC) model is estimated and verified using experimental results, and the transient slope of the ground and aerial modes voltages is extracted during the fault for fault classification. The proposed scheme's behavior is evaluated through simulation results.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Review
Engineering, Multidisciplinary
George Fernandez Savari, M. Jagabar Sathik, L. Anantha Raman, Adel El-Shahat, Hany M. Hasanien, Dhafer Almakhles, Shady H. E. Abdel Aleem, Ahmed I. Omar
Summary: This article comprehensively reviews recent Electric Vehicle (EV) charging infrastructure, technology, and issues related to charging station identification. The literature study shows an increasing consideration of EVs over the past decade. The article discusses the user-friendly selection of charging stations and associated problems.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Article
Energy & Fuels
Mohamed Maher, Shady H. E. Abdel Aleem, Ahmed M. M. Ibrahim, Adel El-Shahat
Summary: This paper presents novel mathematical designs of triple-tuned filters (TTFs) and validates their effectiveness through simulation results. The proposed design methods utilize an artificial rabbits optimization (ARO) algorithm to minimize harmonics, improve power quality, and reduce losses. Simulation results demonstrate better performance of the new design compared to conventional single and double-tuned filters in terms of harmonics mitigation, power quality improvement, and reduced reactive power filter ratings.
Article
Thermodynamics
Martin Calasan, Shady H. E. Abdel Aleem, Hany M. Hasanien, Zuhair M. Alaas, Ziad M. Ali
Summary: In this study, a new mathematical expression of PEMFC current as a voltage function is derived and solved using the iterative Lambert W function for the first time. The root-mean-square error (RMSE) and sum-of-squares error (SSE) between the measured and estimated current and voltage values are calculated, analyzed, and discussed. The results validate the effectiveness of the new mathematical model and show that the solutions obtained using ChERWCA outperformed those obtained by other methods presented in the literature.
Article
Green & Sustainable Science & Technology
Hassan Yousif Ahmed, Ziad M. Ali, Mohamed M. Refaat, Shady H. E. Abdel Aleem
Summary: This paper proposes a multi-objective planning framework for EV charging stations in power networks that move towards green transportation electrification. The model combines the planning models of renewable energy systems, energy storage systems, thyristor-controlled series compensators, and transmission lines. The objectives include maximizing EVs' penetration, reducing carbon dioxide emissions, and meeting financial requirements. The proposed model is solved using the multi-objective version of the Gazelle optimization algorithm. The results demonstrate the superiority of the MGOA in solving multi-objective optimization problems and the importance of energy storage systems in improving the EV's hosting capacity.
Article
Social Sciences, Interdisciplinary
Mohamed M. Refaat, Shady H. E. Abdel Aleem, Yousry Atia, Essam El Din Aboul Zahab, Mahmoud M. Sayed
Summary: This paper proposes a new planning framework to enhance and control the hosting capacity of renewable energy sources (RESs) by comparing various types of renewables, energy storage systems (ESSs), fault current limiters, and flexible alternating current transmission systems (FACTs). The problem is formulated as a complex mixed-integer non-linear optimization problem, and a solution methodology based on a developed decision-making approach and an improved meta-heuristic algorithm is developed. Simulations on the Garver network and the 118-bus system demonstrate the capability of the proposed model in selecting appropriate projects accurately.
Article
Energy & Fuels
Ziad M. Ali, Martin Calasan, Shady H. E. Abdel Aleem, Hany M. Hasanien
Summary: This paper presents exact analytical formulas of leakage-current-based supercapacitor models that can be used in industrial applications, i.e., constant-power-based applications. In the proposed model, current and voltage are represented as a solution of nonlinear equations that are solved using the standard Newton method. The results confirm that including leakage current represents a more accurate and realistic manner of modeling SCs.
Article
Automation & Control Systems
Mihailo Micev, Martin Calasan, Milovan Radulovic, Shady H. E. Abdel Aleem, Hany M. Hasanien, Ahmed F. Zobaa
Summary: This article discusses the use of artificial neural networks (ANN) for black-box modeling of synchronous generators. The ANN is employed to establish the relationship between excitation and terminal generator voltage values, determined using the Levenberg-Marquardt algorithm. The proposed ANN model is found to be accurate, providing a high degree of matching with experimental results and outperforming other nonlinear models.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Review
Energy & Fuels
Ziad M. Ali, Martin Calasan, Shady H. E. Abdel Aleem, Francisco Jurado, Foad H. Gandoman
Summary: With the growing global population and increased energy demand, sustainable and efficient energy systems are urgently needed. Renewable energy sources, such as wind and solar power, have the potential to meet this demand, but their intermittent nature poses challenges for integration into existing energy systems. Recent events such as declining fuel prices, geopolitical conflicts, and the COVID-19 pandemic have made the development of sustainable energy systems even more critical, highlighting the need for resilient and self-sufficient energy systems. Energy storage technologies, such as batteries and flywheels, play a vital role in achieving this goal by providing reliable backup power and enabling independent operation of microgrids.
Article
Energy & Fuels
Eman Korany, Dalia Yousri, Hazem A. Attia, Ahmed F. Zobaa, Dalia Allam
Summary: This paper proposes an efficient maximum power point tracker (MPPT) control strategy using fractional calculus to provide accurate and dynamic response to changes in environmental conditions. A novel hunter-pray optimizer (HPO) is implemented to identify the MPPT controller parameters. The proposed MPPT controller is compared with existing techniques and proven to be superior in terms of dynamic response and maximum power tracking.
Article
Computer Science, Information Systems
F. M. Aboshady, Ioana Pisica, Ahmed F. Zobaa, Gareth A. Taylor, Oguzhan Ceylan, Aydogan Ozdemir
Summary: A reactive power control approach for PV inverters is proposed to reduce the active power loss of the system and solve the overvoltage problem. The method uses probabilistic distributions to account for uncertainties in PV generation and load demand. The real-time volt/var control coordinates the operation of different inverters to limit voltage rise and reduce reactive power flow in the system. Simulation results show that the proposed controller is effective in reducing active power loss and solving the overvoltage problem with less reactive power requirement compared to other methods.
Proceedings Paper
Energy & Fuels
Bilal H. Al-Majali, Ahmed F. Zobaa, Ioana Pisica, Oguzhan Ceylan
Summary: This paper presents a novel optimization approach using Mixed Integer Distributed Ant Colony Optimization (MIDACO) to find the optimal STATCOM installation in the power system. The approach is mathematically formulated based on minimizing the Voltage Deviation Index (VDI) and the installation cost of STATCOM. The proposed method has been tested on the standard IEEE 14-bus system.
2023 IEEE CONFERENCE ON POWER ELECTRONICS AND RENEWABLE ENERGY, CPERE
(2023)
Article
Engineering, Multidisciplinary
Nor Hidayah Abdul Kahar, Ahmed F. Zobaa, Rania A. Turky, Ahmed M. Zobaa, Shady H. E. Abdel Aleem, Bazilah Ismail
Summary: Harmonic pollution has become a significant problem in power networks, and this paper presents an optimal design strategy for passive power filters using the MIDACO solver. The design criteria include minimizing active power losses, maximizing the true power factor, and maximizing the transmission efficiency. Constraints such as quality factors, harmonic resonance damping, power factor range, and voltage harmonic distortion are considered. The effectiveness of the MIDACO solver is validated through comparison with other optimization algorithms.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Article
Computer Science, Information Systems
Mahmoud A. Elsadd, Hala A. Omar, Ahmed R. Adly, Ahmed Faheem Zobaa
Summary: In this paper, a new fault locator scheme is proposed for non-homogeneous combined transmission lines. The scheme accurately determines the faulted segments and calculates the fault distance by utilizing a new algorithm and a voting system.
Article
Thermodynamics
Pengcheng Zhao, Jingang Wang, Liming Sun, Yun Li, Haiting Xia, Wei He
Summary: The production of green hydrogen through water electrolysis is crucial for renewable energy utilization and decarbonization. This research explores the optimal electrode configuration and system design of compactly-assembled industrial electrolyzer. The findings provide valuable insights for industrial application of water electrolysis equipment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
V. Baiju, P. Abhishek, S. Harikrishnan
Summary: Thermally driven adsorption desalination systems (ADS) have gained attention as an eco-friendly solution for water scarcity. However, they face challenges related to low water productivity and scalability. To overcome these challenges, integrating ADS with other desalination technologies can create a small-scale hybrid system. This study proposes integrating ADS with a Thermo Electric Dehumidification (TED) unit to enhance its performance.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
C. X. He, Y. H. Liu, X. Y. Huang, S. B. Wan, Q. Chen, J. Sun, T. S. Zhao
Summary: A decentralized centroid multi-path RC network model is constructed to improve the temperature prediction accuracy compared to traditional RC models. By incorporating multiple heat flow paths and decentralizing thermal capacity, a more accurate prediction is achieved.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chaoying Li, Meng Wang, Nana Li, Di Gu, Chao Yan, Dandan Yuan, Hong Jiang, Baohui Wang, Xirui Wang
Summary: There is an urgent need to shift away from heavy dependence on fossil fuels and embrace renewable energy sources, particularly in the energy-intensive oil refining process. This study presents an innovative concept called the Solar Oil Refinery, which applies solar energy in oil refining. A solar multi-energies-driven hybrid chemical oil refining system that utilizes solar pyrolysis and electrolysis has been developed, significantly improving solar utilization efficiency, cracking rate, and hydrogen yield.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chao Ma, Guanghui Wang, Dingbiao Wang, Xu Peng, Yushen Yang, Xinxin Liu, Chongrui Yang, Jiaheng Chen
Summary: This study proposes a bio-inspired fish-tail wind rotor to improve the wind power efficiency of the traditional Savonius rotor. Through transient simulations and orthogonal experiments, the key factors affecting the performance are identified. A response surface model is constructed to optimize the power coefficient, resulting in an improvement of 9.4% and 6.6% compared to the Savonius rotor.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sina Bahmanziari, Abbas-Ali Zamani
Summary: This paper proposes a new framework for improving electrical energy harvesting from piezoelectric smart tiles through a combination of magnetic plucking, mechanical impact, and mechanical vibration force mechanisms. Experimental results demonstrate a significant increase in energy yield and average energy harvesting time compared to other mechanisms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Nanjiang Dong, Tao Zhang, Rui Wang
Summary: This study establishes a multiobjective mixed-variable configuration optimization model for a comprehensive combined cooling, heating, and power energy system, and proposes an efficient generating operator to optimize this model. The experimental results show that the proposed algorithm performs better than other state-of-the-art algorithms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Ahmed E. Mansy, Eman A. El Desouky, Tarek H. Taha, M. A. Abu-Saied, Hamada El-Gendi, Ranya A. Amer, Zhen-Yu Tian
Summary: This study aims to convert office paper waste into bioethanol through a sustainable pathway. The results show that physiochemical and enzymatic hydrolysis of the waste can yield a high glucose concentration. The optimal conditions were determined using the Box-Behnken design, and a blended membrane was used for ethanol purification.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sven Klute, Marcus Budt, Mathias van Beek, Christian Doetsch
Summary: Heat pumps are crucial for decarbonizing heat supply, and steam generating heat pumps have the potential to decarbonize the industrial sector. This paper presents the current state, technical and economic data, and modeling principles of steam generating heat pumps.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Le Zhang, To-Hung Tsui, Yen Wah Tong, Pruk Aggarangsi, Ronghou Liu
Summary: This study investigates the effectiveness of a current-carrying-coil-based magnetic field in promoting anaerobic digestion of chicken manure. The results show that the applied magnetic field increases methane yield, decreases carbon dioxide production, and reduces the concentration of ammonia nitrogen. Microbial community analysis reveals the enrichment of certain methanogenic genera and enhanced metabolic pathways. Pilot-scale experiments confirm the technical effectiveness of the magnetic field assistance in enhancing anaerobic digestion of chicken manure.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Bo Chen, Ruiqing Ma, Yang Zhou, Rui Ma, Wentao Jiang, Fan Yang
Summary: This paper presents an advanced energy management strategy for fuel cell hybrid electric heavy-duty vehicles, focusing on speed planning and energy allocation. By utilizing predictive co-optimization control, this strategy ensures safe inter-vehicle distance and minimizes energy demand. Simulation results demonstrate the effectiveness of the proposed method in reducing fuel cell degradation cost and overall operation cost.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Fabio Fatigati, Roberto Cipollone
Summary: Organic Rankine Cycle-based microcogeneration systems that use solar sources to generate electricity and hot water can help reduce CO2 emissions in residential energy-intensive sectors. The adoption of a recuperative heat exchanger in these systems improves efficiency, reduces thermal power requirements, and saves on electricity costs.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Lipeng He, Renwen Liu, Xuejin Liu, Xiaotian Zheng, Limin Zhang, Jieqiong Lin
Summary: This research proposes a piezoelectric-electromagnetic hybrid energy harvester (PEHEH) for low-frequency wave motion and self-sensing wave environment monitoring. The PEHEH shows promising power output and the ability to self-power and self-sense the wave environment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Shangling Chu, Yang Liu, Zipeng Xu, Heng Zhang, Haiping Chen, Dan Gao
Summary: This paper studies a distributed energy system integrated with solar and natural gas, analyzes the impact of different parameters on its energy utilization and emissions reduction, and obtains the optimal solution through an optimization algorithm. The results show that compared to traditional separation production systems, this integrated system achieves higher energy utilization and greater reduction in carbon emissions.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Qingpu Li, Yaqi Ding, Guangming Chen, Yongmei Xuan, Neng Gao, Nian Li, Xinyue Hao
Summary: This paper proposes and studies a piston-type thermally-driven pump with a structure similar to a linear compressor, aiming to eliminate the high-quality energy consumption of existing pumps and replace mechanical pumps. The coupling mechanism of working fluid flow and element dimension is analyzed based on force analysis, and experimental data analysis is used to determine the pump operation stroke. Theoretical simulation is conducted to analyze the correlation mechanism of the piston assembly. The research shows that the thermally-driven pump can greatly reduce power consumption and has potential for industrial applications.
ENERGY CONVERSION AND MANAGEMENT
(2024)