Decentralized Renewable Power Generation Using IOT and Blockchain Technology

  • Authors

    • Mr. R. Kavin Research Scholar, Department of Electrical and Electronics Engineering Karunya Institute of Technology and Sciences, Coimbatore, India
    • Dr. J. Jayakumar Professor, Department of Electrical and Electronics Engineering Karunya Institute of Technology and Sciences, Coimbatore, India
    https://doi.org/10.14419/xx1m2155

    Received date: May 21, 2025

    Accepted date: June 17, 2025

    Published date: June 23, 2025

  • Decentralized energy, Renewable power, IoT, Blockchain, Smart grid, Peer-to-Peer Energy trading, Smart contracts
  • Abstract

    The increasing demand for clean and reliable energy has driven the adoption of decentralized renewable power generation systems. Integrating Internet of Things (IoT) and blockchain technology can enhance efficiency, transparency, and security in distributed energy networks. IoT enables real-time monitoring and control of renewable energy sources (such as solar, wind, and microgrids), while blockchain ensures tamper-proof energy transactions, peer-to-peer (P2P) energy trading, and automated smart contracts. This study explores a decentralized energy framework where IoT devices collect data on energy production, consumption, and grid stability, while blockchain facilitates trustless energy exchanges among prosumers (producer-consumers). The proposed system eliminates intermediaries, reduces costs, and improves grid resilience by leveraging smart meters, distributed ledgers, and consensus algorithms. The future scope of power generation is based on Decentralized power generation depends on Renewable energy sources (solar, wind). By using decentralized power generation, we can be able to achieve bidirectional power flow, one can able to transmission as well as receiving electrical power. This new concept introduces blockchain technology in Distributed Generation for monitoring and recording energy transactions between two peers.  These Peer-to-Peer energy transactions are done in the DC Microgrid using blockchain Technology with smart contracts for energy trading.

  • References

    1. R.Kavin, J.Jayakumar, 2025 “Energy Management System for Distributed Energy Resources using Blockchain Technology” Recent Patents on Engineering, Vol 19, No.1 P.no-93-102.
    2. Mirza, Jabbar Aziz Baig, M.Tariq Iqbal, Mohsin Jamil and Jahangir Khan, 2021. “Peer-to-Peer Energy Trading in a Microgrid Using Internet of Things and Blockchain”, Electronics, vol.25, no.2.
    3. Mirza, Jabbar Aziz Baig, M.Tariq Iqbal, Mohsin Jamil and Jahangir Khan, 2023. ”Blockchain based Peer-to-Peer Energy Trading System Using Open-Source Angular Framework and Hypertext Transfer Protocol”, Electronics, vol.12, no.287.
    4. Alam, Muhammad Raisul& St-Hilaire, Marc & Kunz, Thomas, 2019. "Peer-to-peer energy trading among smart homes," Applied Energy, Elsevier, vol. 238(C), pages 1434-1443.
    5. Han, Dong & Zhang, Chengzhenghao& Ping, Jian& Yan, Zheng, 2020. "Smart contract architecture for decentralized energy trading and manage-ment based on blockchains," Energy, Elsevier, vol. 199(C).
    6. Tushar, Wayes&Saha, Tapan Kumar & Yuen, Chau&Morstyn, Thomas & McCulloch, Malcolm D. & Poor, H. Vincent & Wood, Kristin L., 2019. "A motivational game-theoretic approach for peer-to-peer energy trading in the smart grid," Applied Energy, Elsevier, vol. 243(C), pages 10-20.
    7. Dudjak, Viktorija & Neves, Diana & Alskaif, Tarek & Khadem, Shafi & Pena-Bello, Alejandro & Saggese, Pietro & Bowler, Benjamin & Andoni, Merlinda & Bertolini, Marina & Zhou, Yue & Lormeteau, Blanche &, 2021. "Impact of local energy markets integration in power systems layer: A comprehensive review," Applied Energy, Elsevier, vol. 301(C).
    8. Wang, Zibo & Yu, Xiaodan& Mu, Yunfei&Jia, Hongjie, 2020. "A distributed Peer-to-Peer energy transaction method for diversified prosumers in Urban Community Microgrid System," Applied Energy, Elsevier, vol. 260(C).
    9. Wang, Yifei& Wang, Xiuli& Shao, Chengcheng& Gong, Naiwei, 2020. "Distributed energy trading for an integrated energy system and electric vehicle charging stations: A Nash bargaining game approach," Renewable Energy, Elsevier, vol. 155(C), pages 513-530.
    10. Hayes, Barry & Thakur, Subhasis&Breslin, John. (2019). Co-simulation of Electricity Distribution Networks and Peer to Peer Energy Trading Plat-forms. International Journal of Electrical Power & Energy Systems. 115. 10.1016/j.ijepes.2019.105419.
    11. Ye, Liang-Cheng & Rodrigues, João F.D. & Lin, Hai Xiang, 2017. "Analysis of feed-in tariff policies for solar photovoltaic in China 2011–2016," Applied Energy, Elsevier, vol. 203(C), pages 496-505.
    12. Juho Hamari & Mimmi Sjöklint & Antti Ukkonen, 2016. "The sharing economy: Why people participate in collaborative consumption," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(9), pages 2047-2059, Septem-ber.
    13. Sousa, Tiago &Soares, Tiago & Pinson, Pierre &Moret, Fabio &Baroche, Thomas &Sorin, Etienne, 2019. "Peer-to-peer and community-based mar-kets: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 367-378.
    14. Lee E-K, Shi W, Gadh R, Kim W. Design and Implementation of a Microgrid Energy Management System. Sustainability. 2016; 8(11):1143.
    15. GokulSidarthThirunavukkarasu, Elmira Jamei, Ben Horan, SaadMekhilef, Alex Stojcevski, Role of optimization techniques in microgrid energy management systems—A review, Energy Strategy Reviews, Volume 43, 2022, 100899, ISSN 2211-467X.
    16. Luo Y, Itaya S, Nakamura S, Davis P. Autonomous cooperative energy trading between prosumers for microgrid systems. In: in 39th annual IEEE conference on local computer networks workshops; 2014. p. 693–6.
    17. Zhou Y, Wu J, Long C. Evaluation of peer-to-peer energy sharing mechanisms based on a multiagent simulation framework. Appl Energy 2018;222:993–1022.
    18. Hamari J, Sj¨oklint M, Ukkonen A. The sharing economy: why people participate in collaborative consumption. J Assoc Inform SciTechnol 2016;67:2047–59.
    19. Li Z, Bahramirad S, Paaso A, Yan M, Shahidehpour M. Blockchain for decentralized transactive energy management system in networked mi-crogrids. Electr J 2019;32: 58–72.
    20. Goldthau A. Rethinking the governance of energy infrastructure: scale, decentralization and polycentrism. Energy Res Social Sci 2014;1:134–40.
    21. Mengelkamp E, Notheisen B, Beer C, Dauer D, Weinhardt C. A blockchain-based smart grid: towards sustainable local energy markets. Com-putSci-Res Dev 2018; 33:207–14.
    22. Zhang C, Wu J, Zhou Y, Cheng M, Long C. Peer-to-peer energy trading in a microgrid. Appl Energy 2018;220:1–12.
    23. Roy A, Bruce A, MacGill I. The potential value of peer-to-peer energy trading in the australian national electricity market. In: Asia-pacific solar re-search conference; 2016.
    24. Cali U, Fifield A. Towards the decentralized revolution in energy systems using blockchain technology. Int J Smart Grid Clean Energy 2019;8:245–56.
    25. Andoni M, Robu V, Flynn D, Abram S, Geach D, Jenkins D, et al. Blockchain technology in the energy sector: a systematic review of challenges and opportunities. Renew Sustain Energy Rev 2019;100:143–74.
    26. Vangulick D, Corn´elusse B, Ernst D. Blockchain for peer-to-peer energy exchanges: design and recommendations. Power SystComputConf (PSCC) 2018;2018:1–7.
    27. Aitzhan NZ, Svetinovic D. Security and privacy in decentralized energy trading through multi-signatures, blockchain and anonymous messaging streams. IEEE Trans Dependable Secure Comput 2016;15:840–52.
    28. Jayakumar, J. Optimized Wind Energy System Integration With Vsc HVDC For Power Transmission Proceedings on Engineering Sciences, 2024, 6(2), pp. 711–721.
    29. J.Jayakumar , Random forest machine learning algorithm based seasonal multi-step ahead short-term solar photovoltaic power output forecasting, IET Renewable Power Generation, 2024.
    30. J.Jayakumar , Fractional order sliding mode control for power quality improvement in the distribution system, International Journal of Applied Power Engineering, 2024, 13(2), pp. 408–414.
    31. J.Jayakumar, A Hybrid Intelligent Controller for Extended-Range Electric Vehicles, Engineering, Technology and Applied Science Research, 2024, 14(2), pp. 13408–13415.
    32. Marimuthu,, Advancements In Piezoelectric Energy Harvesting For A Sustainable Development: A Comprehensive Review Of Environmental Pre-diction Methods, Journal of Environmental Protection and Ecology, 2023, 24(8), pp. 2786–2795
    33. Manikandan, V Sustainable Energy Development Prediction Of Energy Harvesting System With An Adaptive Hierarchical Recurrent Network And Biodynamic Fusion Optimisation Algorithm, Journal of Environmental Protection and Ecology, 2023, 24(8), pp. 2796–2805.
    34. Femy, P.H. A comprehensive review on electric vehicles: Charging and control techniques, electric vehicle-grid integration Energy Harvesting and Systems, 2023, 10(1), pp. 1–14
  • Downloads

  • How to Cite

    Kavin, M. R. . ., & Jayakumar , D. J. . (2025). Decentralized Renewable Power Generation Using IOT and Blockchain Technology. International Journal of Basic and Applied Sciences, 14(2), 319-327. https://doi.org/10.14419/xx1m2155