A Simulation Model Based on Experimental Data to Determine the Optimal Tilt Angle for a Fixed Photovoltaic Panel
DOI:
https://doi.org/10.47852/bonviewAAES3202907Keywords:
photovoltaic, tilt angle optimization, simulation, experimental data, solar irradiance, renewable energy sourceAbstract
The angle at which a photovoltaic (PV) panel is tilted has a significant impact on its performance, as it affects the amount of solar energy the panel can capture. This paper explores a new mathematical model, as well as simulation and experimental results, to determine the optimal tilt angle for PV panels. The optimal angle is determined by searching for the values that yielded the highest total solar radiation on the PV panel surface for a specific period, and this study introduces a new method to find the yearly optimal tilt angle for a fixed PV panel. The proposed model uses experimental data to simulate the performance of a fixed PV panel at different tilt angles and determine the angle that harvests the highest energy production. The results of the simulation model can be used to guide the installation and positioning of PV panels, allowing for more efficient energy production. Overall, the simulation model provides a valuable tool for optimizing the performance of fixed PV panels and increasing the use of renewable energy sources. The experimental site is located at Famagusta, Cyprus, and the ideal tilt angle for maximum solar radiation was found to be 27°, with a total solar radiation of approximately 2016.99 kWh/m2. The simulation results were then compared to those of four different methods, and it was discovered that solar panels could be installed in that region at angles ranging from 21° to 32° in order to capture the maximum energy from solar radiation for a PV panel.
Received: 12 April 2023 | Revised: 3 July 2023 | Accepted: 4 July 2023
Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.
Data Availability Statement
Data available on request from the corresponding author upon reasonable request.
Author Contribution Statement
Davut Solyali: Conceptualization, Methodology, Software, Validation, Investigation, Writing - original draft, Writing - review & editing, Supervision; Amir Mollaei: Methodology, Software, Validation, Writing -original draft.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.