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IoT-Enabled Wind Energy Modelling for Irrigation in Rural and Remote Farming Communities of Babura Local Government
Authors
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.
Article Information
- DOI
- No Doi
- Published In
- Year 2025 · Volume 2 · Issue 3
- Published Online
- September-December 2025
- Pages
- 01-07
- Article Type
- Original Article
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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.”
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.”
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