Article
Energy & Fuels
Fayza S. Mahmoud, Ahmed A. Zaki Diab, Ziad M. Ali, Abou-Hashema M. El-Sayed, Thamer Alquthami, Mahrous Ahmed, Husam A. Ramadan
Summary: This paper investigates the application of recent optimization methods to determine the optimal configuration of hybrid renewable energy sources. By applying salp swarm algorithms, grey wolf optimizer, and improved grey wolf optimizer, the minimization of energy cost and loss of power supply probability were analyzed. The results reveal that the improved grey wolf optimizer performs the best, while the statistical study proves the robustness of the salp swarm algorithm.
Article
Green & Sustainable Science & Technology
Barun K. Das, Mahmudul Hasan, Fazlur Rashid
Summary: This study conducts a comprehensive analysis and comparison of different HES combinations using HOMER software, indicating the cost-effectiveness and energy efficiency of the PV/Diesel/PHS system. It also suggests that the genetic algorithm (GA) method provides a more cost-effective and sustainable solution compared to the HOMER software tool.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Energy & Fuels
Dalila Fares, Mohamed Fathi, Saad Mekhilef
Summary: This study evaluates the performance of ten metaheuristics optimization techniques in solving the sizing problem for a stand-alone hybrid renewable energy system, with flower pollination algorithm and simulated annealing algorithm showing high robustness and accuracy. Meanwhile, brainstorm optimization in objective space algorithm performs the best in terms of execution time.
Article
Green & Sustainable Science & Technology
Rania M. Ghoniem, Ali Alahmer, Hegazy Rezk, Samer As'ad
Summary: This study examines the techno-economic viability and sensitivity of utilizing solar photovoltaic/polymer electrolyte membrane (PEM) fuel cells (FCs) to meet specific power demands in NEOM, Saudi Arabia. The outcomes show that the 30 kW PEMFC and the 201 kW Trina Solar TSM-430NEG9R.28 are the most favorable choices. The findings emphasize the criticality of choosing optimal system configurations to attain favorable economic outcomes.
Article
Thermodynamics
Mohammed Chennaif, Hassan Zahboune, Mohammed Elhafyani, Smail Zouggar
Summary: The paper introduces a new algorithm to address the optimal sizing of hybrid systems with multiple storage facilities while minimizing the levelized cost of electricity under the premise of ensuring load supply. The research utilizes the ESCEA algorithm to identify the optimal contribution percentages of each generator type in the hybrid system, demonstrating promising results in a case study.
Article
Thermodynamics
Hoda Abd El-Sattar, Salah Kamel, Mohamed H. Hassan, Francisco Jurado
Summary: This paper simulates and analyzes an isolated hybrid power system to optimize the sizing and meet the electricity demand for a small village in Egypt. The results show that the modified QRUN algorithm provides the best Fitness Function with the lowest cost of energy and high reliability in covering all load needs.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Mathematics
Nuramilawahida Mat Ropi, Hawa Hishamuddin, Dzuraidah Abd Wahab, Wakhid Ahmad Jauhari, Fatin Amrina A. Rashid, Nor Kamaliana Khamis, Intan Fadhlina Mohamed, Mohd Anas Mohd Sabri, Mohd Radzi Abu Mansor
Summary: Remanufacturing is a way to satisfy customer demand and maintain production flow, but disruptions such as spare parts shortage can lead to delays and sales loss. This study developed a cost-minimization model to analyze the recovery schedule after disruptions in the sourcing of spare parts for a remanufacturer. The results showed that the optimal recovery schedule and number of recovery cycles depend on disruption time, lost sales, and backorder costs. Spare part costs, overall recovery costs, and supplier readiness also influence a manufacturer's response to disruptions.
Article
Energy & Fuels
N. Niveditha, M. M. Rajan Singaravel
Summary: This study considers the optimal sizing of a hybrid photovoltaic and wind system to achieve reliable, clean and affordable energy supply for a group of buildings under the concept of net zero energy. In addition to minimizing power supply loss probability and cost, the minimization of energy transfer between buildings and the grid is also considered. A non-dominated sorting genetic algorithm II is utilized to optimize three conflicting and incomparable objective functions, resulting in the optimal sizing of hybrid photovoltaic and wind generators.
Article
Computer Science, Information Systems
Usama Bin Irshad, Mohammad Sohrab Hasan Nizami, Sohaib Rafique, M. Jahangir Hossain, Subhas Chandra Mukhopadhyay
Summary: This article proposes a method for estimating the size of a stationary BESS for parking lots, considering the intermittent charging demand of EVs and using nonlinear optimization to minimize the capital and operational costs. The approach ensures maximum utilization of the BESS, avoids over/undersizing, reduces operational costs, and maintains system reliability, as demonstrated through simulations with real travel survey and car park occupancy data.
IEEE SYSTEMS JOURNAL
(2021)
Article
Computer Science, Information Systems
Luo Zhao, Tingze Zhang, Xiuyan Peng, Xinan Zhang
Summary: This paper proposes a novel sizing approach for determining the optimal size of a hybrid energy storage system (HESS) in smart grids using probability-based long-term forecasting. It considers the impact of uncertainties and the life cycle cost of HESS.
INFORMATION SCIENCES
(2022)
Article
Green & Sustainable Science & Technology
Yuelin Xu, Sihao Huang, Ziwei Wang, Yiming Ren, Zikang Xie, Jialin Guo, Zhilin Zhu
Summary: Research focuses on off-grid microgrid system for rural buildings in China, using an optimal sizing and evaluation framework to generate low-cost green electricity.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Thermodynamics
A. Khirennas, A. Kaabeche, A. Talha, Y. Bakelli
Summary: This study aims to determine the optimal storage-less PV system capacity to retrofit existing large-scale diesel-based Power Generation Systems in order to achieve the lowest Levelized Cost of Electricity (LCOE). By analyzing the operational outputs and integrating them into economic modeling, the study calculates the LCOE for each value of the PV system capacity to achieve system optimization.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Engineering, Electrical & Electronic
Yan Wang, Qun Chen
Summary: This study analyzes the parking allocation problem in a multidestination multiple parking lot system, considering factors that affect driver's parking choice, and establishes a mathematical programming model. The proposed model is validated through a numerical example and discusses the impact of dynamic parking fees on driver's choice and parking lot utilization balance. The model is of significance to parking facility location optimization and dynamic parking pricing strategy.
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE
(2022)
Article
Engineering, Multidisciplinary
Mustafa M. A. Seedahmed, Makbul A. M. Ramli, Houssem R. E. H. Bouchekara, Ahmad H. Milyani, Muhyaddin Rawa, Firmansyah Nur Budiman, Rifqi Firmansyah Muktiadji, Syed Mahboob Ul Hassan
Summary: Energy mix optimization is crucial for assessing renewable energy system efficacy. This study focuses on the optimal sizing of grid-connected photovoltaic systems and its benefits in reducing conventional power plant energy and harmful emissions. The research presents a case study in Makkah, Saudi Arabia, where a commercial load is connected to an optimally designed PV system with battery storage. The results demonstrate that considering various factors, such as cost of energy, emissions, and renewable penetration ratio, can lead to the optimal capacity of PV, converter, and battery elements, resulting in reduced costs and emissions.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Energy & Fuels
Dongmin Hao, Xiaojun Ren, Amin Salih Mohammed
Summary: The study utilizes an optimization model based on virus search colony to address the uncertainty caused by the price of the upstream grid in intelligent parking of electric vehicles, reducing daily costs and improving performance efficiency.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Engineering, Multidisciplinary
Ali Rostami, Amin Jalilian, Mehrdad Tarafdar Hagh, Kashem M. Muttaqi, Javad Olamaei
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2019)
Article
Engineering, Electrical & Electronic
Ali Rostami, Javad Olamaei, Hamdi Abdi
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING
(2019)
Article
Computer Science, Information Systems
Ali Rostami, Amin Jalilian, Sasan Zabihi, Javad Olamaei, Edris Pouresmaeil
IEEE SYSTEMS JOURNAL
(2020)
Article
Energy & Fuels
Mohammad Esmaeil Nazari, Sepideh Bahravar, Javad Olamaei
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2020)
Article
Engineering, Electrical & Electronic
Ali Moghassemi, Mehdi Hosseini, Javad Olamaei
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING
(2020)
Article
Engineering, Electrical & Electronic
Sepideh Bahravar, Karim Abbaszadeh, Javad Olamaei
Summary: This paper proposes a new topology for high step-up multiport DC-DC converter, which significantly increases the voltage gain and reduces the voltage stress on switching devices by using diode-capacitor cells. This converter is suitable for high-power applications and can have its voltage gain further increased by adding more diode-capacitor cells.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Babak Hosseini Montazer, Javad Olamaei, Majid Hosseinpour, Babak Mozafari
Summary: This paper introduces a new bidirectional topology for single-phase MLI, aiming to reduce the number of switches and increase output voltage levels with the use of diodes. Various algorithms are proposed to determine the values of DC voltage sources, achieving higher efficiency and performance. Simulation and experimental results confirm the superior performance of the designed structure in symmetric and asymmetric topologies.
INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Javad Olamaei, Sonia Abrishami, Amir Hossein Merati Shirazi
Summary: In this paper, a grid-connected residential photovoltaic system with maximum power point tracking capability is designed using MATLAB/SIMULINK, and compared with different control methods. A novel short-circuit current control method that eliminates the need for a DC-DC converter is proposed, regulating the inverter current to adjust power output and reducing costs.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Ali Moghassemi, Dishore Shunmugham Vanaja, Javad Olamaei, Gokhan Ozkan, Christopher S. Edrington
Summary: This article proposes a novel switching method for the photovoltaic-fed dynamic voltage restorer (DVR) system based on a quasi-Z-source inverter (quasi-ZSI), and validates the method's suitability through simulation and experimentation.
IET RENEWABLE POWER GENERATION
(2022)
Article
Engineering, Electrical & Electronic
Ehsan Modarresi Ghazvini, Javad Olamaei
Summary: This study investigates the effects of PV/T and fuel cell as a combined heat and power system on the optimal design problem, considering the unreliability of PV/T. The results show that the utilization of PV/T can reduce costs and combining fuel cell with other components also reduces the total cost.
ELECTRIC POWER COMPONENTS AND SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Tina Sojoudi, Mitra Sarhangzadeh, Javad Olamaei, Jaber Fallah Ardashir
Summary: This article proposes an extendable bidirectional common-ground dc-dc converter suitable for high-gain applications, such as electric vehicles. The converter provides high step-up and high step-down voltage converting capabilities in both power flow directions with fewer switches. The electromagnetic interface is alleviated due to the shared ground between the input and output of the converter. The performance of the proposed converter is analyzed in EV applications by equipping it with an input-output feedback linearization (IOFL) controller, and simulation and experimental results are provided to prove its feasibility.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Ehsan Modarresi Qazvini, Javad Olamaei
Summary: This study aims to solve the unit commitment problem for integrated renewable and non-renewable combined heat and power systems with considerations for multiple energy storage systems. The simulation results demonstrate the significant effects of three energy storage systems on the unit commitment problem results, and a critical sensitivity analysis is conducted.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING
(2023)
Article
Energy & Fuels
Samira Pazouki, Javad Olamaei
INTERNATIONAL JOURNAL OF AMBIENT ENERGY
(2019)
Article
Thermodynamics
Amirhosein Shahhosseini, Javad Olamaei
THERMAL SCIENCE AND ENGINEERING PROGRESS
(2019)
Article
Energy & Fuels
Siddharth Sradhasagar, Omkar Subhasish Khuntia, Srikanta Biswal, Sougat Purohit, Amritendu Roy
Summary: In this study, machine learning models were developed to predict the bandgap and its character of double perovskite materials, with LGBMRegressor and XGBClassifier models identified as the best predictors. These models were further employed to predict the bandgap of novel bismuth-based transition metal oxide double perovskites, showing high accuracy, especially in the range of 1.2-1.8 eV.
Article
Energy & Fuels
Wei Shuai, Haoran Xu, Baoyang Luo, Yihui Huang, Dong Chen, Peiwang Zhu, Gang Xiao
Summary: In this study, a hybrid model based on numerical simulation and deep learning is proposed for the optimization and operation of solar receivers. By applying the model to different application scenarios and considering multiple performance objectives, small errors are achieved and optimal structure parameters and heliostat scales are identified. This approach is not only applicable to gas turbines but also heating systems.
Article
Energy & Fuels
Mubashar Ali, Zunaira Bibi, M. W. Younis, Muhammad Mubashir, Muqaddas Iqbal, Muhammad Usman Ali, Muhammad Asif Iqbal
Summary: This study investigates the structural, mechanical, and optoelectronic properties of the BaCuF3 fluoroperovskite using the first-principles modelling approach. The stability and characteristics of different cubic structures of BaCuF3 are evaluated, and the alpha-BaCuF3 and beta-BaCuF3 compounds are found to be mechanically stable with favorable optical properties for solar cells and high-frequency UV applications.
Article
Energy & Fuels
Dong Le Khac, Shahariar Chowdhury, Asmaa Soheil Najm, Montri Luengchavanon, Araa mebdir Holi, Mohammad Shah Jamal, Chin Hua Chia, Kuaanan Techato, Vidhya Selvanathan
Summary: A novel recycling system is proposed in this study to decompose and reclaim the constituent materials of organic-inorganic perovskite solar cells (PSCs). By utilizing a one-step solution process extraction approach, the chemical composition of each layer is successfully preserved, enabling their potential reuse. The proposed recycling technique helps mitigate pollution risks, minimize waste generation, and reduce recycling costs.
Article
Energy & Fuels
Peijie Lin, Feng Guo, Xiaoyang Lu, Qianying Zheng, Shuying Cheng, Yaohai Lin, Zhicong Chen, Lijun Wu, Zhuang Qian
Summary: This paper proposes an open-set fault diagnosis model for PV arrays based on 1D VoVNet-SVDD. The model accurately diagnoses various types of faults and is capable of identifying unknown fault types.
