MATHEMATICAL MODELING ON THE ASSESSMENT OF PHOTOVOLTAIC MODULES USED IN BIPV SYSTEMS

Author(s):  
Gheorghe Badea
2017 ◽  
Vol 139 (6) ◽  
Author(s):  
Abdelhakim Hassabou ◽  
Ahmed Abotaleb ◽  
Amir Abdallah

Operation of solar photovoltaic (PV) systems under high temperatures and high humidity represents one of the major challenges to guarantee higher system’s performance and reliability. The PV conversion efficiency degrades considerably at higher temperatures, while dust accumulation on PV module together with atmospheric water vapor condensation may cause a thick layer of mud that is difficult to be removed. Therefore, thermal management in hot climates is crucial for reliable application of PV systems to prevent the efficiency to drop due to temperature rise. This research focuses on the utilization of phase-change materials (PCM) for passive thermal management of solar systems. The main focus is to explore the effect of utilization of PCM-based cooling elements on the thermal behavior of solar PV modules. This paper presents the mathematical modeling and validation of PV modules. Both simulation and experimental data showed that the significant increase in PV peak temperature in summer affects the module’s efficiency, and consequently produced power, by 3% compared to standard testing condition (STC) as an average over the entire day, while it goes up to 8% and 10% during peak noon hours in winter and summer, respectively.


Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1738
Author(s):  
Ricardo R. Santos ◽  
Edson A. Batista ◽  
Moacyr A. G. de Brito ◽  
David D. D. Quinelato

The central problem tackled in this article is the susceptibility of the solar modules to dirt that culminates in losses in energy generation or even physical damage. In this context, a solution is presented to enable the estimates of dirt losses in photovoltaic generation units. The proposed solution is based on the mathematical modeling of the solar cells and predictive modeling concepts. A device was designed and developed to acquire data from the photovoltaic unit; process them based on a predictive model, and send loss estimates in the generation unit to a web server to help in decision-making support. The results demonstrated the real applicability of the system to estimate losses due to dirt or electrical mismatches in photovoltaic plants.


2015 ◽  
Vol 46 (S 01) ◽  
Author(s):  
R. Lampe ◽  
N. Botkin ◽  
V. Turova ◽  
T. Blumenstein ◽  
A. Alves-Pinto

2020 ◽  
Vol 146 (12) ◽  
pp. 04020129
Author(s):  
Lianfeng Zhang ◽  
Yeye Song ◽  
Jinsong Zhang ◽  
Jianpeng Zhou ◽  
Zhangfa Tong

2020 ◽  
Vol 7 (3) ◽  
pp. 37-44
Author(s):  
KONSTANTIN NAPREENKO ◽  
◽  
ROMAN SAVELEV ◽  
ALEKSEY TROFIMOV ◽  
ANNA LAMTYUGINA ◽  
...  

The article discusses methods for determining the hydraulic resistance of units of an accident-resistant fuel system. A detailed description of the need to create such fuel systems for modern helicopters is given. The development of such systems today is impossible without the use of the method of mathematical modeling, which allows to qualitatively solve problems arising in the design process. To obtain accurate research results, it is necessary to have a complete description of all elements and assemblies of the system. Methods for determining the hydraulic characteristics of AFS elements using the drag coefficient, reference literature and CFD codes are considered. As the investigated AFS units, a drain valve and burst fitting were studied in the article. A hydraulic calculation of these AFS elements ware performed, the simulation results are presented in the ANSYS CFX software package. Also as the calculation results of bursting fitting, the pressure distribution fields of full and static pressure, velocity and streamlines are also shown. An experimental setup for validating the results obtained using the mathematical modeling method is considered, as well as a methodology for conducting a full-scale experiment to determine the hydraulic resistance of the unit. Materials have been prepared for inclusion in a one-dimensional mathematical model of an accident-resistant fuel system.


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