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IoT-Enabled Wind Energy Modelling for Irrigation in Rural and Remote Farming Communities of Babura Local Government

F.A. Umar1 Aliyu Muhammad Abdu2 Usman Aliyu Magaji3 Abdulrahman Yusif Atah4 Abdullahi Garba Musa5 S.M. Lawan6

1 2 3 4 5 Department of Electrical Engineering Faculty of Engineering Aliko Dangote University of Science and Technology, Wudil, Kano, Nigeria. *6Department of Electrical/Electronic Engineering, School of Engineering and Technology, Federal University of Technology, Babura, Jigawa, Nigeria.

Published Online: September-December 2025

Pages: 01-07

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Abstract

The pursuit of sustainable energy for agriculture in Nigeria requires localized renewable energy solutions, particularly in underserved rural and remote communities. This study presents an IoT-enabled wind energy modelling framework for powering irrigation systems in Babura Local Government, Jigawa State, Nigeria. Five years of meteorological data from the Nigerian Meteorological Agency (NiMet) and one year of site-specific measurements were analyzed, with wind speed distribution characterized using the Weibull probability model. The performance of small-scale wind turbines (1–5 kW) was simulated at hub heights of 10 m, 20 m, and 30 m. The irrigation load profile considered pumps with an average demand of 1.2 kW, operating mainly during the dry season. IoT integration employed soil moisture sensors, wireless data acquisition, and GSM-based control to optimize water use. Results indicate an average annual wind speed of 4.8 m/s at 10 m, yielding a power density of 92 W/m² at 20 m. A 2.5 kW turbine produced about 3,100 kWh annually, sufficient to meet the irrigation demand of two medium-sized farms. Comparative analysis with Katsina (5.5 m/s) and Wudil (4.2 m/s) shows Babura’s wind potential is moderate yet suitable for decentralized irrigation. IoT-based monitoring reduced water consumption by 22%, aligning with international studies in India and Kenya. The levelized cost of wind-powered irrigation was estimated at $0.18/kWh, compared to $0.34/kWh for diesel pumps. The study concludes that wind-powered irrigation integrated with IoT is a viable, sustainable, and scalable solution for rural farming in Babura, recommending pilot deployments, farmer training, and policy incentives

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References

  • 1. L. García, A. Marín, A. Fernández, J. L. E. García, and F. J. Flores, “IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture,” Sensors, vol. 20, no. 4, p. 1042, Feb. 2020.

  • 2. H. Shi, M. Z. Jacobson, and W. Zhang, “Wind Speed Distributions Used in Wind Energy Assessment: A Review,” Frontiers in Energy Research, vol. 9, p. 769920, 2021.

  • 3. I. K. Okakwu, “Techno-Economic Assessment of Wind Turbines in Nigeria,” Economics Research International, 2021.

  • 4. B. El Kihel, “Wind Energy Potential Assessment Using the Weibull Distribution: Improved Estimation Algorithms,” Renewable Energy Reports, 2024.

  • 5. Q. Hassan, M. H. Alhassan, and T. A. Musa, “A Review of Hybrid Renewable Energy Systems: Solar and Wind Integration,” Renewable and Sustainable Energy Reviews, 2023.

  • 6. B. P. Sangeetha and S. R. Sridevi, “IoT Based Smart Irrigation Management System for Solar Irrigation,” Procedia Computer Science, vol. 198, pp. 139–146, 2022.

  • 7. D. C. Muller, “Hybrid Solar, Wind, and Energy Storage System for Institutional Microgrids: Case Study and Lessons,” Sustainable Technologies and Engineering Transformations, 2023.

  • 8. A. Musa, H. Rabiu, and G. Chukwuma, “Hybrid Solar-Wind Pumping Systems for Irrigation in Nigeria: Modeling and Field Validation,” Energy Reports, vol. 8, pp. 1902–1914, 2022.

  • 9. O. A. Fagbohun, S. O. Adeyemi, and T. O. Balogun, “Techno-Economic Analysis of Small Wind Turbines for Rural Nigeria,” Renewable Energy, vol. 172, pp. 1207–1218, 2021.

  • 10. M. Ibrahim and S. A. Yusuf, “Economic Viability of Decentralized Wind Systems for Rural Communities,” Energy Policy, vol. 165, p. 112996, 2022.

  • 11. H. A. Lawan, “Wind Resource Classification and Mapping in Nigeria: Implications for Small Wind Deployment,” Energy Conversion and Management, vol. 252, p. 115078, 2022.

  • 12. S. Wang and L. Li, “Energy Efficiency Improvements through IoT in Irrigation Systems,” Computers and Electronics in Agriculture, vol. 193, p. 106644, 2022.

  • 13. R. Patel, P. Gupta, and S. K. Sharma, “IoT-Based Smart Irrigation Systems in India: Performance and Adoption,” Sustainability, vol. 13, no. 22, p. 12588, 2021.

  • 14. J. Kamau, P. Njoroge, and F. Ouko, “Smart Irrigation and IoT in Kenya: Field Case Study,” Water Practice & Technology, vol. 15, no. 4, pp. 1112–1124, 2020.

  • 15. N. A. Yusuf, I. M. Bello, and M. D. Abdullahi, “Challenges and Prospects of Grid-Connected Renewable Energy in Nigeria,” IEEE Access, vol. 9, pp. 11342–11355, 2021.

  • 16. T. E. Adebayo, O. O. Adesina, and B. S. Oladipo, “IoT and Machine Learning for Agricultural Water Management,” IEEE Sensors Journal, vol. 23, no. 12, pp. 14567–14579, 2023.

  • 17. S. M. Lawan and S. J. Kawu, “Artificial Neural Network (ANN) Prediction of Guide Vane for Effective Utilization of Pump as Turbine (PAT),” in Proc. IEEE Int. Conf. on Power and Energy (PECon), 2024, pp. 34–39.

  • 18. B. D. Bala, H. M. Hassan, and S. M. Lawan, “Energy-Efficient Clustering in Wireless Sensor Network: A Comparison Between Genetic Algorithm and Bacteria Conjugation,” Journal of Electrical Systems and Information Technology, vol. 11, no. 3, pp. 212–223, 2023.

  • 19. S. M. Lawan, F. A. Umar, C. N. Okpala, W. A. W. Z. Abidin, T. Masri, and S. J. Kawu, “Development of RFID System Solar Energy Powered for Car Tracking System,” Zaria Journal of Engineering and Technology, vol. 5, no. 2, pp. 48–56, 2023.

  • 20. B. D. Bala, A. Y. Abdullahi, and A. Aminu, “Tsukamoto Fuzzy Logic Model with Harmony Search Optimization for Energy Applications,” International Journal of Fuzzy Systems and Applications, vol. 13, no. 4, pp. 1–12, 2022.”

Citations

F.A. Umar1, Aliyu Muhammad Abdu2, Usman Aliyu Magaji3, Abdulrahman Yusif Atah4, Abdullahi Garba Musa5, S.M. Lawan6*, “Iot-Enabled Wind Energy Modelling for Irrigation in Rural and Remote Farming Communities of Babura Local Government”, Indian Journal of Electrical and Electronics Engineering, Volume 02, Issue 03, September-December 2025, PP: 01-07.

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© 2026 The Author(s). Published by Fifth Dimension Research Publication.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/ ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

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