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Publication Metadata only Calculating minimum droplet diameter in dripping, spindle, and cone-jet modes based on experimental data in the electrospray process(Elsevier Inc., 2024) Wang, Shi; Yazdkhsti, Arian; Alizadeh, As'ad; Basem, Ali A.; Jasim, Dehyaa J.; Al-Rubaye, Ameer H.; Salahshour, Soheil; Toghraie, Davood; Wang, Shi, School of Mechanical Engineering, Shenyang Institute of Engineering, Shenyang, China; Yazdkhsti, Arian, Department of Mechanical Engineering, Isfahan University of Technology, Isfahan, Iran; Alizadeh, As'ad, Department of Civil Engineering, Cihan University-Erbil, Erbil, Iraq; Basem, Ali A., Faculty of Engineering, University of Warith Al-Anbiyaa, Karbala, Iraq; Jasim, Dehyaa J., Department of Petroleum Engineering, Al-Amarah University College, Amarah, Iraq; Al-Rubaye, Ameer H., Department of Petroleum Engineering, Al-Kitab University, Kirkuk, Iraq; Salahshour, Soheil, Faculty of Engineering and Natural Sciences, Istanbul Okan University, Tuzla, Turkey, Faculty of Engineering and Natural Sciences, Bahçeşehir Üniversitesi, Istanbul, Turkey, Department of Mathematics and Computer Science, Lebanese American University, Beirut, Lebanon; Toghraie, Davood, Department of Mechanical Engineering, Islamic Azad University, Tehran, IranThe paper is an experimental investigation of the effect of process parameters like applied voltage, volume flow rate and distance between two electrodes through dimensionless numbers in the electrospray process, droplet diameter in particular. In addition, this study attempts to present new estimated formulas based on experimental data to ease primary evaluations of droplet diameter before any performing electrospray applications in order to reduce time and cost spending. For this purpose, a high-speed camera was used to have clear evidence of the influence of the parameters on the diameter of liquid droplets generated from acetic acid and their electrohydrodynamic (EHD) modes. In this study, the time evolution of EHD modes detected during experiments and the reasons for EHD mode geometric shapes were physically stated. The results show that decreasing the distance between two electrodes producing an electric field causes a reduction in the voltage to meet desired droplet diameter (needed minimum droplet diameter) and a switch of EHD modes occurs in lower voltages. This paper also demonstrates that the percentage of decreasing droplet diameter during the electrospray process has the extremum which can change based on changing effective parameters. Furthermore, a quick estimation for calculating minimum droplet diameter in dripping, spindle, and cone-jet modes based on experimental data is presented because it was observed the decreasing percentage of droplet diameters in each EHD mode is approximately constant unexpectedly whereas all effective parameters of the electrospray process in this research tested. Finally, another equation was also driven to calculate the decreasing percentage of droplet diameter based on dimensionless numbers, Weber and Electric Capillary numbers, using experimental data to acquire appropriate means for the primary forecast of the trend of droplet diameter production being useful for various of electrospray processes such as drug delivery, powder production, encapsulation, thin films, and electrospinning. © 2024 Elsevier B.V., All rights reserved.Publication Metadata only A comprehensive review of a building-integrated photovoltaic system (BIPV)(Elsevier Ltd, 2024) Chen, Lin; Baghoolizadeh, Mohammadreza; Basem, Ali A.; Ali, Sadek Habib; Ruhani, Behrooz; Sultan, Abbas J.; Salahshour, Soheil; Alizadeh, As'ad; Chen, Lin, School of Architecture, Yantai University, Yantai, China; Baghoolizadeh, Mohammadreza, Department of Mechanical Engineering, Shahrekord University, Shahr-e Kord, Iran; Basem, Ali A., Faculty of Engineering, University of Warith Al-Anbiyaa, Karbala, Iraq; Ali, Sadek Habib, Department of Electrical Engineering Techniques, Al-Amarah University College, Amarah, Iraq; Ruhani, Behrooz, Solar Energy Naqsh-e Jahan Company, Isfahan, Iran; Sultan, Abbas J., Department of Chemical Engineering, University of Technology- Iraq, Baghdad, Iraq, College of Engineering and Computing, Rolla, United States; Salahshour, Soheil, Faculty of Engineering and Natural Sciences, Istanbul Okan University, Tuzla, Turkey, Faculty of Engineering and Natural Sciences, Bahçeşehir Üniversitesi, Istanbul, Turkey, Department of Mathematics and Computer Science, Lebanese American University, Beirut, Lebanon; Alizadeh, As'ad, Department of Mechanical Engineering, Urmia University, Urmia, IranBeginning in the early 1990s, photovoltaic (PV) technologies were integrated with building envelopes to reduce peak electrical load and fulfill building energy demands. The PV technologies are referred to be building-integrated (BI) PV systems when they are either incorporated or mounted to the envelopes. BIPV system groupings include BIPV roofs, BIPV facades, BIPV windows, and BIPV shadings. In this study, the technology division of photovoltaic cells and the BIPV system groupings are discussed and investigated. This evaluation addresses several variables that impact the BIPV system applications' functionality and design. The tilt angle of PV shading devices, transmittance, window-to-wall ratio (WWR), and glass orientation are the parameters that have been found. Researchers will find this review paper useful in constructing the BIPV system since it offers opportunities for future study. © 2024 Elsevier B.V., All rights reserved.Publication Metadata only A comprehensive review of data analytics and storage methods in geothermal energy operations(Elsevier B.V., 2025) Basem, Ali A.; Al-Nussairi, Ahmed Kateb Jumaah; Khidhir, Dana Mohammad; Sawaran Singh, Narinderjit Singh; Baghoolizadeh, Mohammadreza; Fazilati, Mohammad Ali; Salahshour, Soheil; Sajadi, S. Mohammad; Hasanabad, Ali Mohammadi; Basem, Ali A., Faculty of Engineering, University of Warith Al-Anbiyaa, Karbala, Iraq; Al-Nussairi, Ahmed Kateb Jumaah, Al-Manara College for Medical Sciences, Amarah, Iraq; Khidhir, Dana Mohammad, Department of Petroleum Engineering, Knowledge University, Erbil, Iraq; Sawaran Singh, Narinderjit Singh, Faculty of Data Science and Information Technology, INTI International University, Nilai, Malaysia; Baghoolizadeh, Mohammadreza, Department of Mechanical Engineering, Shahrekord University, Shahr-e Kord, Iran; Fazilati, Mohammad Ali, Efficiency and Smartization of Energy Systems Research Center, Khomeyni Shahr, Iran; Salahshour, Soheil, Faculty of Engineering and Natural Sciences, Istanbul Okan University, Tuzla, Turkey, Faculty of Engineering and Natural Sciences, Bahçeşehir Üniversitesi, Istanbul, Turkey, Research Center of Applied Mathematics, Khazar University, Baku, Azerbaijan; Sajadi, S. Mohammad, Department of Chemistry, Payame Noor University, Tehran, Iran; Hasanabad, Ali Mohammadi, Fast Computing Center, Tehran, IranGeothermal energy storage (GES) systems are thoroughly examined in this research, with a focus on methods like borehole thermal energy storage (BTES), underground thermal energy storage (UTES), and aquifer thermal energy storage (ATES). It highlights the importance of thermal energy storage (TES) systems in addressing global energy challenges. The feasibility of UTES for large-scale energy storage and its integration with geothermal power plants is investigated. The ATES, with the advantage of large storage capacity and low operating costs has could be employed in regions with suitable aquifers. The adaptability of BTES to different ground conditions and its small land footprint made it a spotlight for the researchers. The study emphasizes the role of TES technologies in meeting the growing demand for renewable energy, reducing the impact of climate change, and providing efficient energy solutions for heating, ventilating, and air conditioning. HVAC systems. Also, the application of geothermal power plants and TES systems in decreasing the dependence on nonrenewable energy sources and increasing energy efficiency increase investigated. The development of reliable and affordable sensors, together with improvements in processing power, has made data-intensive algorithms and real-time operational decision-making applications in the field of geothermal energy. The study also delves into the potential of machine learning to optimize geothermal design, monitor performance, improve performance, find errors, and more. It was shown that artificial neural networks were the most common kind of trained model, while several other models were often used as benchmarks for performance. Picture selection, systematic time series feature engineering and model evaluation were all areas that showed a lot of promise in the systematic review for future research and practical applications. © 2025 Elsevier B.V., All rights reserved.