Energy Harvesting and IoT-Enabled Sensor Networks for Renewable Energy Monitoring

Christian Chukwuemeka Nzeanorue, Ugochukwu Ukeje, Marvelous Ifeyinwa Molokwu, Gideon Oluwasola Olanrewaju, Okhueleigbe Vincent Onos, Smart Ezekiel Ezekiel

Abstract

Renewable energy systems like solar and wind require efficient monitoring to optimise performance, especially in remote areas with limited grid power. This paper examines energy harvesting combined with IoT-enabled sensor networks as a sustainable solution. By using solar, kinetic, or thermal energy, these systems power IoT sensors to monitor energy output and equipment status in real-time. We review key harvesting methods (e.g., photovoltaic, piezoelectric) and IoT frameworks (e.g., LoRaWAN), highlighting cost savings and scalability benefits. Challenges include energy intermittency and harsh deployment conditions. Results suggest this integration enhances renewable energy management, with the potential for smart grids and rural electrification. Future work should focus on hybrid systems and AI analytics to overcome limitations.



Keywords


Renewable energy; Energy harvesting; IoT (Internet of Things); Sensor networks; Solar energy; Wind energy

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References


1. Naifar, S., Kanoun, O., & Trigona, C. (2024). Energy harvesting technologies and applications for the Internet of Things and wireless sensor networks. Sensors, 24(14), 4688. doi: 10.3390/s24144688

2. Gulec, O., Haytaoglu, E., & Tokat, S. (2020). A novel distributed CDS algorithm for extending the lifetime of WSNs with solar energy harvester nodes for Smart agriculture applications. IEEE Access, 8, 58859–58873. doi: 10.1109/access.2020.2983112

3. Perrozzi, M. V., Lo Monaco, M., & Somà, A. (2025). Recent Advances in Translational Electromagnetic Energy Harvesting: A review. Energies, 18(7), 1588. doi: 10.3390/en18071588

4. Zeadally, S., Shaikh, F. K., Talpur, A., & Sheng, Q. Z. (2020). Design architectures for energy harvesting in the Internet of Things. Renewable and Sustainable Energy Reviews, 128, 109901. doi: 10.1016/j.rser.2020.109901

5. Singh, J., Kaur, R., & Singh, D. (2020). Energy harvesting in wireless sensor networks: A taxonomic survey. International Journal of Energy Research, 45(1), 118–140. doi: 10.1002/er.5816

6. Saxena, M., & Dutta, S. (2020). Improved the Efficiency of IoT in Agriculture by Introducing Optimum Energy Harvesting in WSN. International Conference on Innovative Trends in Information Technology. doi: 10.1109/icitiit49094.2020.9071549

7. Yang, J., Zhang, X., Qu, H., Yu, Z. G., Zhang, Y., Eey, T. J., Zhang, Y., & Tan, S. C. (2020). A Moisture‐Hungry copper complex harvesting air moisture for potable water and autonomous urban agriculture. Advanced Materials, 32(39). doi: 10.1002/adma.202002936

8. Sah, D. K., & Amgoth, T. (2020). Renewable energy harvesting schemes in wireless sensor networks: A Survey. Information Fusion, 63, 223–247. doi: 10.1016/j.inffus.2020.07.005

9. Hamdan, N. A., Sonko, N. S., Fabuyide, N. A., Daudu, N. C. D., & Etukudoh, N. E. A. (2024). Real-time energy monitoring systems: Technological applications in Canada, USA, and Africa. World Journal of Advanced Research and Reviews, 21(1), 2053–2063. doi: 10.30574/wjarr.2024.21.1.0255

10. Malek, K., Rodríguez, E. O., Lee, Y., Murillo, J., Mohammadkhorasani, A., Vigil, L., Zhang, S., & Moreu, F. (2023). Design and implementation of sustainable solar energy harvesting for low-cost remote sensors equipped with real-time monitoring systems. Journal of Infrastructure Intelligence and Resilience, 2(3), 100051. doi: 10.1016/j.iintel.2023.100051

11. Rao, C. K., Sahoo, S. K., & Yanine, F. F. (2023). A literature review on an IoT-based intelligent Smart energy management systems for PV power generation. Hybrid Advances, 5, 100136. doi: 10.1016/j.hybadv.2023.100136

12. Mohanty, S. P., Choppali, U., & Kougianos, E. (2016). Everything you wanted to know about smart cities: The Internet of Things is the backbone. IEEE Consumer Electronics Magazine, 5(3), 60–70. doi: 10.1109/mce.2016.2556879

13. Lee, J., Kim, S., Kim, S., Oh, J., Lee, C., & Yu, J. (2022). Feasibility analysis of ambient RF energy harvesting for Low-Power IoT Devices. 2022 International Symposium on Antennas and Propagation (ISAP), 329–330. doi: 10.1109/isap53582.2022.9998799

14. Pereira, R. I., Dupont, I. M., Carvalho, P. C., & Jucá, S. C. (2017). IoT-embedded Linux system based on Raspberry Pi applied to real-time cloud monitoring of a decentralised photovoltaic plant. Measurement, 114, 286–297. doi: 10.1016/j.measurement.2017.09.033

15. Illias, H. A., Ishak, N. S., Mokhlis, H., & Hossain, M. Z. (2020). IoT-based Hybrid Renewable Energy Harvesting System from Water Flow. IEEE International Conference on Power and Energy (PECon), 204–208. doi: 10.1109/pecon48942.2020.9314412

16. Aghaei, M., Kolahi, M., Nedaei, A., Venkatesh, N. S., Esmailifar, S. M., Sizkouhi, A. M. M., Aghamohammadi, A., Oliveira, A. K. V., Eskandari, A., Parvin, P., Milimonfared, J., Sugumaran, V., & Rüther, R. (2024). Autonomous Intelligent Monitoring of Photovoltaic Systems: An In‐Depth Multidisciplinary Review. Progress in Photovoltaics Research and Applications. doi: 10.1002/pip.3859

17. Rani, D. P., Suresh, D., Kapula, P. R., Akram, C. M., Hemalatha, N., & Soni, P. K. (2021). IoT-based Smart solar energy monitoring systems. Materials Today Proceedings, 80, 3540–3545. doi: 10.1016/j.matpr.2021.07.293

18. Ansari, S., Ayob, A., Lipu, M. S. H., Saad, M. H. M., & Hussain, A. (2021). A review of monitoring technologies for solar PV systems using data processing modules and transmission protocols: progress, challenges and Prospects. Sustainability, 13(15), 8120. doi: 10.3390/su13158120

19. Sadowski, S., & Spachos, P. (2018). Solar-powered Smart agricultural monitoring System using Internet of Things devices. 2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 18–23. doi: 10.1109/iemcon.2018.8614981

20. Phillips, J. D. (2021). Energy harvesting in nanosystems: Powering the next generation of the internet of things. Frontiers in Nanotechnology, 3. doi: 10.3389/fnano.2021.633931

21. Kirmani, S., Mazid, A., Khan, I. A., & Abid, M. (2022). A survey on IoT-Enabled Smart Grids: Technologies, architectures, applications, and challenges. Sustainability, 15(1), 717. doi: 10.3390/su15010717

22. Dey, P. K., Banu, S., Milufarzana, M., Robin, S., Mazumdar, N. C., Samsuzzaman, S., & Kabir, M. S. N. (2024). IoT-based Solar-Powered Smart Irrigation System With a Solar Tracker for Rice Fields. Precision Agriculture Science and Technology, 6(1), 59–70. doi: 10.12972/pastj.20240004

23. Zheng, X., He, L., Wang, S., Liu, X., Liu, R., & Cheng, G. (2023). A review of piezoelectric energy harvesters for harvesting wind energy. Sensors and Actuators a Physical, 352, 114190. doi: 10.1016/j.sna.2023.114190

24. Perera, S. M. H. D., Putrus, G., Conlon, M., Narayana, M., & Sunderland, K. (2022). Wind Energy Harvesting and Conversion Systems: A Technical Review. Energies, 15(24), 9299. doi: 10.3390/en15249299

25. Kucova, T., Prauzek, M., Konecny, J., Andriukaitis, D., Zilys, M., & Martinek, R. (2023). Thermoelectric Energy Harvesting for Internet of Things Devices Using Machine Learning: A Review. CAAI Transactions on Intelligence Technology, 8(3), 680–700. doi: 10.1049/cit2.12259

26. Sojan, S., & Kulkarni, R. (2016). A Comprehensive Review of Energy Harvesting Techniques and its Potential Applications. International Journal of Computer Applications, 139(3), 14–19. doi: 10.5120/ijca2016909120

27. Ali, M., & Paracha, M. K. (2020). An IoT-Based Approach For Monitoring Solar Power Consumption With Adafruit Cloud. International Journal of Engineering Applied Sciences and Technology, 04(09), 335–341. doi: 10.33564/ijeast.2020.v04i09.042

28. Sanislav, T., Mois, G. D., Zeadally, S., & Folea, S. C. (2021). Energy Harvesting Techniques for Internet of Things (IoT). IEEE Access, 9, 39530–39549. doi: 10.1109/access.2021.3064066

29. Chidolue, O., & Iqbal, T. (2023). Real-time monitoring and data acquisition using LoRa for a remote solar-powered oil well. International Journal of Applied Power Engineering (IJAPE), 13(1), 201. doi: 10.11591/ijape.v13.i1.pp201-212

30. Mikhaylov, K., Moiz, A., Pouttu, A., Rapun, J. M. M., & Gascon, S. A. (2018). LoRa WAN for Wind Turbine Monitoring: Prototype and Practical Deployment. 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). doi: 10.1109/icumt.2018.8631240

31. Shariff, F., Rahim, N. A., & Hew, W. P. (2014). Zigbee-based data acquisition system for online monitoring of grid-connected photovoltaic system. Expert Systems With Applications, 42(3), 1730–1742. doi: 10.1016/j.eswa.2014.10.007

32. Pennacchioni, M., Di Benedette, M., Pecorella, T., Carlini, C., & Obino, P. (2017). NB-IoT system deployment for smart metering: Evaluation of coverage and capacity performances. AEIT International Annual Conference. doi: 10.23919/aeit.2017.8240561

33. Shaik, M. S., Shah, D., Chetty, R., & Marathe, R. R. (2020). A LoRaWAN-based Open Source IOT Solution for Monitoring Rural Electrification Policy. International Conference on Communication Systems and Networks, 888–890. doi: 10.1109/comsnets48256.2020.9027490

34. Shi, M., Yeatman, E. M., & Holmes, A. S. (2019). Energy harvesting piezoelectric wind speed sensor. Journal of Physics Conference Series, 1407(1), 012044. doi: 10.1088/1742-6596/1407/1/012044

35. Yu, X., Yang, X., Tan, Q., Shan, C., & Lv, Z. (2022). An edge computing-based anomaly detection method in IoT industrial sustainability. Applied Soft Computing, 128, 109486. doi: 10.1016/j.asoc.2022.109486

36. Demircan, B., & Akyüz, E. (2019). IoT and Cloud-Based Remote Monitoring of Wind Turbine. Celal Bayar Üniversitesi Fen Bilimleri Dergisi, 15(4), 337–342. doi: 10.18466/cbayarfbe.540812

37. Pal, S., Jhanjhi, N. Z., Abdulbaqi, A. S., Akila, D., Almazroi, A. A., & Alsubaei, F. S. (2023). A hybrid Edge-Cloud system for networking service components optimisation using the Internet of Things. Electronics, 12(3), 649. doi: 10.3390/electronics12030649

38. Pojas, N. M. a. T., Magayon, N. M. J. M., Balamad, N. a. D. B., Dellosa, N. J. T., & Dagsa, N. L. M. (2024). Real-time monitoring and adaptive control of solar panel cooling for enhanced power harvest through IoT integration. Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES), 10, 312–318. doi: 10.5109/7323279

39. Shehu, L., Yeon, J. H., & Song, Y. (2024). Piezoelectric energy harvesting for civil engineering applications. Energies, 17(19), 4935. doi: 10.3390/en17194935

40. Sharma, K. K., Verma, P. K., & Garg, P. (2024). IoT-Enabled Energy Management Systems For Sustainable Energy Storage: Design, Optimisation, And Future Directions. Frontiers in Health Informatics, 13(8), 2234-2225

41. Bell, C., Olukemi, A., & Gracias, A. (2024). Solar-Powered Microgrids for Rural Electrification: Techno-Economic Analysis and Social Impact. Not Peer-Reviewed. doi: 10.20944/preprints202408.0092.v1

42. Zhou, F., Tu, X., & Wang, Q. (2022). Research on offshore wind power systems based on Internet of Things technology. International Journal of Low-Carbon Technologies, 17, 645–650. doi: 10.1093/ijlct/ctac04

43. Nath, D. C., Kundu, I., Sharma, A., Shivhare, P., Afzal, A., Soudagar, M. E. M., & Park, S. G. (2023). Internet of Things integrated with solar energy applications: a state-of-the-art review. Environment Development and Sustainability, 26(10), 24597–24652. doi: 10.1007/s10668-023-03691-2

44. Chen, Z., Gao, F., & Liang, J. (2022). Kinetic energy harvesting based sensing and IoT systems: A review. Frontiers in Electronics, 3. doi: 10.3389/felec.2022.1017511

45. Mushtaq, M. U., Venter, H., Singh, A., & Owais, M. (2025). Advances in energy harvesting for Sustainable wireless sensor networks: Challenges and opportunities. Hardware, 3(1), 1. doi: 10.3390/hardware301000

46. Galan-Jimenez, J., Vegas, A. G., & Berrocal, J. (2022). Energy-efficient deployment of IoT applications in remote rural areas using UAV networks. 14th IFIP Wireless and Mobile Networking Conference (WMNC). doi: 10.23919/wmnc56391.2022.9954292

47. Jung, H. J., Nezami, S., & Lee, S. (2019). Power supply switch circuit for intermittent energy harvesting. Electronics, 8(12), 1446. doi: 10.3390/electronics8121446

48. Hamed, T. A., & Alshare, A. (2021). Environmental Impact of Solar and Wind energy- A Review. Journal of Sustainable Development of Energy Water and Environment Systems, 10(2), 1–23. doi: 10.13044/j.sdewes.d9.0387

49. Zaghari, B., Weddell, A., & White, N. (2017). Opportunities and challenges for energy harvesting sensor systems for harsh environments. 5th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems. doi: 10.1145/3142992.3143001

50. Tabassum, S., Babu, A. R. V., & Dheer, D. K. (2024). A Comprehensive Exploration of Iot-Enabled Smart Grid Systems: Power Quality Issues, Solutions, and Challenges. Science and Technology for Energy Transition, 79, 62. doi: 10.2516/stet/2024056

51. Mwangi, A., Sahay, R., Fumagalli, E., Gryning, M., & Gibescu, M. (2024). Towards a Software-Defined Industrial IoT-Edge network for Next-Generation offshore wind farms: state of the art, resilience, and Self-X network and service management. Energies, 17(12), 2897. doi: 10.3390/en17122897

52. Sanislav, T., Mois, G. D., Zeadally, S., & Folea, S. C. (2021b). Energy Harvesting Techniques for Internet of Things (IoT). IEEE Access, 9, 39530–39549. doi: 10.1109/access.2021.3064066

53. He, L., Han, Y., Liu, R., Hu, R., Yu, G., & Cheng, G. (2022). Design and performance study of a rotating piezoelectric wind energy harvesting device with wind turbine structure. Energy, 256, 124675. doi: 10.1016/j.energy.2022.124675

54. Pradeep, J., Krishnakumar, S., & Sowmiya, M. (2020). Hybrid energy harvesting system using IOT. IOP Conference Series Materials Science and Engineering, 923(1), 012077. doi: 10.1088/1757-899x/923/1/012077

55. Srivastava, P., Vyas, S., & Hadiya, N. H. (2022). Renewable Energy Policies and Standards for Energy Storage and Electric Vehicles in India. Renewable Energy Technologies: Advances and Emerging Trends for Sustainability, 295-327

56. Bello, N. S. F., Wada, N. I. U., Ige, N. O. B., Chianumba, N. E. C., & Adebayo, N. S. A. (2024). AI-driven predictive maintenance and optimisation of renewable energy systems for enhanced operational efficiency and longevity. International Journal of Science and Research Archive, 13(1), 2823–2837. doi: 10.30574/ijsra.2024.13.1.1992


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Copyright (c) 2025 Christian Chukwuemeka Nzeanorue, Ugochukwu Ukeje, Marvelous Ifeyinwa Molokwu, Gideon Oluwasola Olanrewaju, Okhueleigbe Vincent Onos, Smart Ezekiel Ezekiel

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