Solar Power Operated Adulterated Fuel Filtration and Moisture Detection System

Author

K. Swathi, P. Sravani, Y. Tanuja, Dr. Sthita Prajna Mishra


Abstract

Fuel contaminated with water, dust, or other foreign matter degrades engine performance, fuel economy, and component life, yet conventional fuel filters retain only suspended particles and give no indication of water in the fuel. This paper presents the design and implementation of a solar power operated prototype that combines preliminary moisture detection with physical fuel filtration. A 20 V, 50 W photovoltaic panel charges a 24 V, 15 Ah lithium-ion battery through a solar charge controller, and an LM2596 buck converter supplies the low-voltage electronics. An Arduino Uno reads a water-in-fuel (WIF) sensor and drives red and green LED indicators and a 16×2 LCD that report whether water has been detected, while a 24 V DC fuel pump moves fuel through an inline filter that retains suspended solid impurities. Moisture detection and filtration are treated as separate functions: the WIF sensor indicates water contamination only, and the system is not intended to identify chemical adulterants. 


Keywords

Arduino, fuel adulteration, fuel filtration, moisture detection, solar photovoltaic, water contamination, water-in-fuel sensor.



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References


[1] V. J. Felix, P. A. Udaykiran, and K. Ganesan, “Fuel adulteration detection system,” Indian J. Sci. Technol., vol. 8, no. S2, pp. 90–95, 2015.

[2] A. Harkare, “Study and development of fuel adulteration detection system,” Biosci. Biotechnol. Res. Commun., 2020.

[3] R. Uche and A. Augustine, “Design and development of water-in-fuel detector,” Innov. Syst. Des. Eng., vol. 3, no. 10, 2012.

[4] P. Johnson, “Fuel filtration reality check,” in Proc. 9th Int. Filtration Conf., Nov. 2008, Paper IFC09-018.

[5] L. Gevorkov, J. L. Domínguez-García, and L. T. Romero, “Review on solar photovoltaic-powered pumping systems,” Energies, vol. 16, no. 1, p. 94, 2022.

[6] T. Kamani, S. K. Patel, A. Baz, and O. P. Kumar, “Machine learning optimization-based efficient detection of fuel adulteration using a novel circular slotted refractive index sensor,” IEEE Sensors J., 2025.

[7] A. H. Harkare, “Analytical study for development of fuel adulteration detection system,” 2018.

[8] A. Kakaei, M. Mostafaei, and L. Naderloo, “Identification and classification of adulteration in some fossil fuel products using an electronic nose,” Fuel, vol. 396, p. 135405, 2025.

[9] P. Saxena, R. Pahuja, M. S. Khurana, and S. Satija, “Real-time fuel quality monitoring system for smart vehicles,” Int. J. Intell. Syst. Appl., vol. 8, no. 11, p. 19, 2016.

[10] E. Kılıç, E. Karakulak, E. Mevsim, and R. Mutlu, “Investigation of the water detection performance of the water-in-fuel (WIF) sensor in diesel fuel.”

[11] Ł. Macioszek and D. Sobczyński, “Moisture content assessment of commercially available diesel fuel using impedance spectroscopy,” Energies, vol. 17, no. 8, p. 1903, 2024.

[12] Q. Song, J. Kang, M. Tang, and Y. Liang, “Separation of water in diesel using filter media containing kapok fibers,” Materials, vol. 13, no. 11, p. 2667, 2020.

[13] H. Arouni, U. Farooq, P. Goswami, N. Kapur, and S. J. Russell, “Coalescence efficiency of surface modified PBT meltblown nonwovens in the separation of water from diesel fuel containing surfactants,” Results Eng., vol. 4, p. 100048, 2019.

[14] S. G. Onep and E. Ninsiima, “Design and modeling of a solar-powered water system for real-time microbial detection and treatment,” 2026.

 

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