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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM67878

DUAL AXIS SOLAR POWER TRACKING SYSTEM

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM67878

Volume:

10 |

10 |

Oct 2026

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM67878

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Shashank Thorat

Shashank Thorat

E&TC

JSPM's Bhivrabai sawant Polytechnic

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KI

Komal Ingole

E&TC

JSPM's Bhivrabai sawant Polytechnic

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HD

Harshal Dhisale

E&TC

JSPM's Bhivrabai sawant Polytechnic

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LS

Lad Shruti

E&TC

JSPM's Bhivrabai sawant Polytechnic

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TVB

Takale V. B.

E&TC

JSPM's Bhivrabai sawant Polytechnic

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Mentors

Mr. Takale V. B.

Mr. Takale V. B.

E&TC

JSPM's Bhivrabai sawant Polytechnic

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Abstract

The Dual Axis Solar Power Tracking System is an advanced renewable energy solution designed to improve the efficiency of solar photovoltaic (PV) panels by automatically adjusting their orientation according to the Sun's position. Unlike fixed solar panels, this system tracks sunlight in two directions: horizontal (azimuth) and vertical (elevation). The proposed system uses an Arduino Uno microcontroller, four Light Dependent Resistors (LDRs), and two servo motors to achieve automatic solar tracking. The LDR sensors detect variations in sunlight intensity and send corresponding signals to the Arduino Uno. The microcontroller processes these signals and controls the servo motors to rotate and tilt the solar panel toward the direction of maximum illumination. This continuous adjustment helps the panel receive sunlight more directly throughout the day. The system is designed to be cost-effective, energy-efficient, and suitable for educational and small-scale applications. Its performance can be evaluated by measuring the voltage, current, and electrical energy generated and comparing the results with those of a fixed solar panel under similar environmental conditions. The proposed system provides practical knowledge of embedded systems, sensor interfacing, motor control, and renewable energy technology. It can be further enhanced with IoT-based monitoring and data logging for improved performance analysis.

KEYWORDS

Dual-Axis Solar Tracking Arduino Uno LDR Sensors Solar Photovoltaic System Servo Motor Renewable Energy.

Cite This Article

Shashank Thorat, Komal Ingole, Harshal Dhisale, Lad Shruti, Takale V. B., Mr. Takale V. B., "DUAL AXIS SOLAR POWER TRACKING SYSTEM," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-5, Oct 2026. https://doi.org/10.55041/IJSREM67878

Full Article/Conclusion

Dual-axis solar tracking is a promising technique for improving the orientation of photovoltaic panels toward the Sun. An Arduino Uno-based system using LDR sensors and suitable motors offers an affordable platform for demonstrating automatic solar tracking. Its performance must be verified through controlled measurements of energy generation and tracking-system consumption. Further improvements in control algorithms, mechanical design, and monitoring technology can enhance its reliability and practical usefulness.

References

[1]  Hafez, A.Z., Yousef, A.M., Harag, N.M.: Solar tracking systems: Technologies and trackers drive types – A review. Renewable and Sustainable Energy Reviews 91 (2018) 754–782. https://doi.org/10.1016/j.rser.2018.03.094 [2]    Nsengiyumva, W., Chen, S.G., Hu, L., Chen, X.: Recent advancements and challenges in Solar Tracking Systems (STS): A review. Renewable and Sustainable Energy Reviews 81 (2018) 250– 279. https://doi.org/10.1016/j.rser.2017.06.085 [3]  Rousan, N.A., Isa, N.A.M., Desa, M.K.M.: Advances in solar photovoltaic tracking systems: A review. Renewable and Sustainable Energy           Reviews         82               (2018)     2548–2569. https://doi.org/10.1016/j.rser.2017.09.077 [4] Grena, R.: An algorithm for the computation of the solar position. Solar       Energy    82(5)       (2008)     462–470. https://doi.org/10.1016/j.solener.2007.10.001 [5]  Reda, I., Andreas, A.: Solar position algorithm for solar radiation applications. Solar Energy 76(5) (2004) 577–589. https://doi.org/10.1016/j.solener.2003.12.003 [6]  Blanco-Muriel, M., Alarcón-Padilla, D.C., López-Moratalla, T., Lara-Coira, M.: Computing the solar vector. Solar Energy 70(5) (2001) 431–441. https://doi.org/10.1016/S0038-092X(00)00156-0 [7]   Kalogirou, S.A.: Design and construction of a one-axis sun-tracking system. Solar Energy 57(6) (1996) 465–469. [8]   Roth, P., Georgiev, A., Boudinov, H.: Cheap two axis sun following device. Energy Conversion and Management 46(7–8) (2005) 1179–1192. [9]   Chong, K.K., Wong, C.W.: General formula for on-axis sun-tracking system and its application in improving tracking accuracy of solar collector. Solar Energy 83(3) (2009) 298–305. [10]   Alexandru, C.: A comparative analysis between the tracking strategies implemented on a photovoltaic tracking system. Journal of Renewable and Sustainable Energy 5 (2013).

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Publication Date

10/13/2026

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Review Rounds: 2

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