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ILMIY-AMALIY KONFERENSIYASI
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4
SIMULATION OF SOLAR PANELS TO IMPROVE ENERGY EFFICIENCY
Toʻxtamurotov Adhamjon Muhammadali oʻgʻli
Scientific Advisor:
Iqboljon Anarboyev
Andijan State Institute of Technology
Department of Renewable Energy Sources
Faculty of Energy Efficiency and Energy Audit
4th-year student of group K-95-21
Phone:+998979930317
E-mail; adhamjontoxtamurotov@gmail.com
https://doi.org/10.5281/zenodo.15553628
Introduction
In recent years, the demand for renewable energy sources has significantly increased due
to global concerns over environmental sustainability and the depletion of fossil fuels. Among
the various renewable sources, solar energy stands out as one of the most promising and widely
accessible options. This thesis focuses on the simulation of solar photovoltaic (PV) systems to
enhance their efficiency and reliability under different environmental conditions.
Introduction: Solar panels convert sunlight into electrical energy through the
photovoltaic effect. However, the efficiency of solar panels can be affected by several factors
such as irradiance, temperature, shading, tilt angle, and orientation. To study and improve the
performance of solar PV systems, simulation plays a crucial role. By using simulation tools, it is
possible to predict the behavior of solar panels without the need for expensive and time-
consuming physical testing.
The main goal of this thesis is to model and simulate solar PV systems to find the most
efficient configurations for different scenarios. The study aims to reduce energy losses, increase
output power, and support the integration of solar systems into residential and industrial
applications.
Simulation Tools and Methodology: Two widely used simulation tools, MATLAB/Simulink
and PVsyst, were employed in this research. These programs allow for detailed modeling of
solar panels, including the effects of varying irradiance, temperature, and system layout.
Simulations were conducted for different geographic locations, seasonal variations, and panel
parameters.
Key steps in the simulation process included: Modeling the solar cell using a single-diode
or double-diode equivalent circuit.
Inputting real solar radiation and temperature data.
Adjusting the tilt angle and azimuth orientation.
Analyzing the output parameters: voltage, current, power, and efficiency.
Results and Discussion:
The simulation results revealed that panel orientation and tilt angle have a significant
impact on the energy output. In optimal conditions, a tilt angle equal to the local latitude
provided the best results. Seasonal adjustments further improved performance. Additionally,
the use of Maximum Power Point Tracking (MPPT) algorithms within the simulation improved
the efficiency of the energy conversion process.
By comparing different scenarios, it was observed that energy output could be increased
by up to 20% simply by optimizing installation parameters based on simulation outcomes.
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Simulation results indicate that panel orientation and tilt angle significantly impact
power generation. A fixed tilt angle close to the location’s latitude provides optimal year-round
performance. Implementing MPPT improves energy extraction efficiency by tracking the
optimal voltage and current. The data also shows that using tracking systems further enhances
energy output by 10–20%. Seasonal simulations revealed that summer months yield maximum
production, while winter performance can be improved by adjusting angles or using bifacial
panels.
Conclusion:
This thesis demonstrates the crucial role that simulation plays in the design, optimization,
and implementation of solar photovoltaic (PV) systems. By utilizing powerful tools such as
MATLAB/Simulink and PVsyst, various environmental and system parameters were analyzed
to assess their influence on solar panel performance.
The study shows that factors such as tilt angle, orientation, temperature, and irradiance
significantly affect energy output. Through simulation, it was possible to test multiple scenarios
and identify the most efficient configurations without physical installation. Techniques like
Maximum Power Point Tracking (MPPT) were also shown to greatly enhance system efficiency,
making solar energy more viable and competitive.
The results indicate that careful simulation and parameter optimization can increase
energy production by up to 20%. This improvement contributes not only to reducing
dependency on fossil fuels but also to advancing sustainable energy solutions.
In conclusion, simulation is not just a theoretical tool—it is an essential step in planning
cost-effective, high-performance solar energy systems. As the demand for clean energy
continues to grow, simulation-based approaches will become increasingly important in shaping
the energy infrastructure of the future.
References:
Используемая литература:
Foydalanilgan adabiyotlar:
1.
Green, M. A., Solar Cells: Operating Principles, Technology, and System Applications,
Prentice-Hall, 1982.
2.
Masters, G. M., Renewable and Efficient Electric Power Systems, John Wiley & Sons, 2013.
3.
Duffie, J. A., & Beckman, W. A., Solar Engineering of Thermal Processes, 4th Edition, Wiley,
2013.
4.
Walker, G. R., Evaluating MPPT Performance in Photovoltaic Systems, IEEE Transactions
on Energy Conversion, Vol. 19, No. 4, 2004.
5.
5.PVsyst SA. PVsyst Photovoltaic Software, Version 7.3, https://www.pvsyst.com
6.
MathWorks.
Simulink
and
MATLAB
Documentation
for
PV
Modeling,
https://www.mathworks.com
7.
Huan-Liang Tsai, Ci-Siang Tu, and Yi-Jie Su, “Development of Generalized Photovoltaic
Model Using MATLAB/Simulink,” Proceedings of the World Congress on Engineering and
Computer Science, 2008.
8.
Skoplaki, E., & Palyvos, J. A. (2009). On the temperature dependence of photovoltaic
module electrical performance: A review of efficiency/power correlations. Solar Energy, 83(5),
614–624.
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9.
Luque, A., & Hegedus, S. (Eds.), Handbook of Photovoltaic Science and Engineering, Wiley,
2011.
10.
Rehman, S., Bader, M. A., & Al-Moallem, S. A. (2007). Cost of solar energy generated using
PV panels. Renewable and Sustainable Energy Reviews, 11(8), 1843–1857.
