Browsing by Author "Sultan, Abbas J."

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Citation Count: 0
A comprehensive review of a building-integrated photovoltaic system (BIPV)
(Pergamon-elsevier Science Ltd, 2024) Chen, Lin; Baghoolizadeh, Mohammadreza; Basem, Ali; Ali, Sadek Habib; Ruhani, Behrooz; Sultan, Abbas J.; Alizadeh, As'ad
Beginning 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.
Citation Count: 0
Improving the thermal performance of nano-encapsulated phase change material slurry by changing fins configurations in a rectangular cavity
(Pergamon-elsevier Science Ltd, 2024) Zhang, Lei; Salahshour, Soheıl; Basem, Ali; Hamza, Hussein; Sultan, Abbas J.; Al-Bahrani, Mohammed; Alizadeh, A.
The transition to renewable energy is heavily reliant on batteries and energy storage devices, making them a crucial technology of the modern era. The sensitivity of batteries to temperature has been a constant challenge in the development of this technology. Thermal management, creating uniform temperature and proper heat transfer by cooling is very critical in these systems. The popularity of nePCMs is increasing in energy storage and cooling systems due to their remarkable latent heat during phase change. This is because nano-encapsulated phase change materials are being widely used. They are considered to be one of the most promising particles in this application. This research is a case study free convection of nano-encapsulated Phase Change Materials (nePCM) slurry with a volume fraction of 5% and a polyurethane shell and n-nonadecane core in a rectangular chamber was homogeneously simulated and investigated. The temperature of the left wall remains consistent and there are three fins present to enhance the transfer of heat. The governing equations are transformed into dimensionless form and solved numerically using OpenFOAM software. Various parameters such as fin geometry, chamber angle, Rayleigh number, and melting point temperature are altered to assess their impact on velocity profile components, temperature distribution, Cr contours, Nusselt number, and fin efficiency. Based on the results, Y-shape and T-shape fin geometries can increase the efficiency of water-nePCM fluid by about 10% for Ra = 100 and about 26 % for Ra = 104 compared to I-shape fin. Also, increasing the Rayleigh number from Ra = 100 to Ra = 104 improves the average Nusselt number for water-nePCM nanofluids by about 100 % in each of the fin geometries.
Citation Count: 0
Investigation of the effect of model structure type on the thermal performance of phase change materials through molecular dynamics simulation
(Elsevier, 2024) Aich, Walid; Salahshour, Soheıl; Sultan, Abbas J.; Ghabra, Amer Ali; Eladeb, Aboulbaba; Kolsi, Lioua; Baghaei, Sh.
Using molecular dynamics (MD) simulation, the thermal efficacy of phase change materials (PCMs) in solar energy applications and solar thermal energy storage was evaluated. In order to achieve this objective, an investigation was conducted into the structure's temperature (Temp), velocity, and density profiles, heat flux, thermal conductivity, charge and discharge time, and thermal stability. Three models of tube, shell, and shell-tube were adopted to scrutinize the atomic behavior and thermal performance (TP) of PCMs. The results show that the maximum density of the tube model, shell model, and shell-tube model was 0.042, 0.036, and 0.033 atom/A 3 , respectively. Other numerical results showed that the maximum velocity for the three structures of tube model, shell model, and shell-tube model under the initial Temp of 300 K was 0.0066 & Aring;/fs, 0.0059 & Aring;/fs, and 0.0054 & Aring;/fs, respectively. The structure in the tube model manifested more optimal atomic behavior compared to other models. The TP of simulated structures revealed that the heat flux of the samples reached 5.69, 4.85, and 4.15 W/m 2 , respectively. Finally, the thermal conductivity of the structures approached 1.35, 1.32, and 1.31 W/m.K, respectively. The results suggested that the tube model had the most thermal stability and showed the optimal thermal behavior in the simulation. The findings of this study, particularly the optimal atomic behavior and thermal stability of the tube model, can be useful in designing and optimizing PCMs for solar energy applications. In general, this research had the potential to significantly advance the field of solar energy system efficiency and cost-effectiveness.
Citation Count: 0
Prediction of heat transfer characteristics and energy efficiency of a PVT solar collector with corrugated-tube absorber using artificial neural network and group method data handling models
(Pergamon-elsevier Science Ltd, 2024) Li, Lei; Salahshour, Soheıl; Mohammed, Abrar A.; Montufar, Paul; AL-Maamori, Zainab M.; Sultan, Abbas J.; Esmaeili, Shadi
Photovoltaic thermal (PVT) systems offer an attractive prospect to produce thermal and electricity powers when used as the building envelope. The present numerical analysis is performed intending to evaluate the thermal, electrical, and overall efficiencies of a PVT unit with a corrugated serpentine absorber tube filled with the A(2)O(3)/water nanofluid. The influence of Reynolds number (Re) and nanoparticle concentration (w) on the performance metrics of the system is analyzed. The result indicated that within the w range of 0-1%, the increment in Re from 500 to 2000 diminishes the PV panel temperature by 3.13-3.32%, while pressure drop boosts by 5480.95-5580.06%. The increase in w from 0% to 1%, however, declines the PV panel temperature and pumping power by 0.43-0.62% and 1.25-2.97%, respectively. The range of changes in the overall efficiency was 60.38-90.45%, the maximum and minimum of which belong to Re = 2000&w=1% &w =1% and Re = 500&w=0%, &w =0%, respectively. The results of artificial neural network (ANN) modeling presented an accurate function for estimation of the overall efficiency of the studied PVT unit based on the Re and w with the R-squared coefficient of determination of R-2 = 0.99602.
Citation Count: 1
Thermal performance of forced convection of water- NEPCM nanofluid over a semi-cylinder heat source
(Elsevier, 2024) Wang, Xiaoming; Salahshour, Soheıl; Keivani, Babak; Jasim, Dheyaa J.; Sultan, Abbas J.; Hamedi, Sajad; Toghraie, Davood
1) Background: Phase change materials (PCMs) have been used statically, which has caused the use of these materials to face challenges. Encapsulating PCMs and combining them with the base fluid can significantly solve the problem of using PCMs in BTM systems. In the present study, based on computational fluid dynamics, forced convection heat transfer of nano -encapsulated phase change materials (NEPCM) in a BTM system are simulated. The main aim of the present research is to reduce the temperature at the surface of the hot cylinder. 2) Methods: In this research, we simulated lithium battery thermal management systems in both steady and transient states. The effects of using NEPCM particles to water were investigated. Modeling is implemented using the finite volume method and the PIMPLE and SIMPLE algorithms in OpenFoam. Furthermore, the effects of battery heat flux, Reynolds number, and the presence of nanoparticles (NPs) were analyzed. We intend to evaluate the optimal state of the system by studying the mentioned parameters. 3) Significant Findings: Our study shows that adding 3.5% NEPCM to water can reduce the length of the vortex by 22% and in unsteady -state simulation, it is observed that the presence of NEPCM particles in water reduces battery temperature up to 0.66 K.
Citation Count: 1
Utilizing machine learning algorithms for prediction of the rheological behavior of ZnO (50%)-MWCNTs (50%)/ Ethylene glycol (20%)-water (80%) nano-refrigerant
(Pergamon-elsevier Science Ltd, 2024) Song, Xiedong; Salahshour, Soheıl; Alizadeh, As'ad; Basem, Ali; Jasim, Dheyaa J.; Sultan, Abbas J.; Piromradian, Mostafa
This paper aims to explore the utilization of machine learning techniques for the accurate prediction of rheological properties in a specific nanofluid system, ZnO(50 %)-MWCNTs (50 %)/Ethylene glycol (20 %)-water (80 %), designed for nano-refrigeration applications. The effective manipulation of the rheological behavior of nanofluids is pivotal for enhancing their heat transfer efficiency and overall performance. By harnessing the predictive power of machine learning, this study endeavors to unravel the intricate relationships governing the rheological characteristics of the nano-refrigerant, ultimately contributing to the development of advanced cooling solutions. The obtained results show that pnf of ZnO(50%)-MWCNTs (50%)/ Ethylene glycol(20%)-water (80%) nano-refrigerant is little affected by T, and even when T varies, this result does not alter much. Also, the lowest pnf occurs when it has the highest temperature and the lowest gamma and m. Finally, it was concluded that the best algorithm in terms of the Taylor diagram for pnf output is the MPR algorithm and the worst is the ECR algorithm and the pattern of gamma changes shows that the ideal value of gamma is the biggest when pnf levels fall in tandem with their growth.