Abstract
As electricity is a high demand technology in any society and city, the technology of distribution and billing must evolve within a certain time.There are lots of limitations present in current techniques, like we can’t access live information of previous unit usage, users’ privacy is also not maintained here, and one more important thing is that there is no transparency in the payment system. To solve such types of problems, we present a blockchain-based model for usage in smart cities. This will not only maintain transparency but will also maintain the anonymity of users. This paper determines how we can implement blockchain technology in smart cities to facilitate the development of smart cities and delivers a smart city ecosystem based model which depends on smart metres using blockchain technology, which will also build a smart contract between citizens and administrations. This paper will show how the reading of electric metres can be stored in the blockchain and how we can protect the privacy of users using blockchain technology. At the end, citizens will make payments without revealing their privacy. At the end of this paper, we will also conclude how we can do energy management using the data stored in the blockchain.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
A-khateeb, B.: Regulatory standards and measures: panacea for blockchain technology acceptability, pp. 54–72 (2020). https://doi.org/10.4018/978-1-7998-7110-1.ch003
Abdelmaboud, A., et al.: Blockchain for IoT applications: taxonomy, platforms, recent advances, challenges and future research directions. Electronics 11(4), 630 (2022). https://doi.org/10.3390/electronics11040630. https://www.mdpi.com/2079-9292/11/4/630
Casino, F., Dasaklis, T.K., Patsakis, C.: A systematic literature review of blockchain-based applications: Current status, classification and open issues. Telematics Inform. 36, 55–81 (2019). https://doi.org/10.1016/j.tele.2018.11.006. https://www.sciencedirect.com/science/article/pii/S0736585318306324
Chandrakar, P., Sinha, S., Ali, R.: Cloud-based authenticated protocol for healthcare monitoring system. J. Ambient. Intell. Humaniz. Comput. 11(8), 3431–3447 (2019). https://doi.org/10.1007/s12652-019-01537-2
Dewangan, N.K., Chandrakar, P.: Peer-to-peer trade registration process with blockchain in small and medium enterprises (SMEs) in e-governance. In: 2021 4th International Conference on Security and Privacy (ISEA-ISAP), pp. 1–7 (2021). https://doi.org/10.1109/ISEA-ISAP54304.2021.9689760
Dewangan, N.K., Chandrakar, P.: Patient feedback based physician selection in blockchain healthcare using deep learning. In: Woungang, I., Dhurandher, S.K., Pattanaik, K.K., Verma, A., Verma, P. (eds.) Advanced Network Technologies and Intelligent Computing. ANTIC 2021. Communications in Computer and Information Science, vol. 1534, pp. 215–228. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-96040-7_17
Esposito, C., Ficco, M., Gupta, B.B.: Blockchain-based authentication and authorization for smart city applications. Inf. Process. Manage. 58(2), 102468 (2021). https://doi.org/10.1016/j.ipm.2020.102468. https://www.sciencedirect.com/science/article/pii/S0306457320309584
Huseien, G.F., Shah, K.W.: A review on 5G technology for smart energy management and smart buildings in Singapore. Energy AI 7, 100116 (2022). https://doi.org/10.1016/j.egyai.2021.100116. https://www.sciencedirect.com/science/article/pii/S2666546821000653
Khanna, A., et al.: Blockchain: future of e-governance in smart cities. Sustainability 13(21), 11840 (2021). https://doi.org/10.3390/su132111840. https://www.mdpi.com/2071-1050/13/21/11840
Krishnan, P.R., Jacob, J.: An IoT based efficient energy management in smart grid using dhocsa technique. Sustain. Cities Soc. 79, 103727 (2022). https://doi.org/10.1016/j.scs.2022.103727. https://www.sciencedirect.com/science/article/pii/S2210670722000580
Shi, Q.s., Hao, Y.X., Ren, H.B., Huang, X.H.: Blockchain-based distributed electricity transaction model. Int. J. Energy Res. 46(8), 11278–11290 (2022). https://doi.org/10.1002/er.7927. https://onlinelibrary.wiley.com/doi/abs/10.1002/er.7927
Treiblmaier, H., Rejeb, A., Strebinger, A.: Blockchain as a driver for smart city development: application fields and a comprehensive research agenda. Smart Cities 3(3), 853–872 (2020). https://doi.org/10.3390/smartcities3030044. https://www.mdpi.com/2624-6511/3/3/44
Wu, Y., Wu, Y., Cimen, H., Vasquez, J.C., Guerrero, J.M.: Towards collective energy community: Potential roles of microgrid and blockchain to go beyond p2p energy trading. Appl. Energy 314, 119003 (2022). https://doi.org/10.1016/j.apenergy.2022.119003. https://www.sciencedirect.com/science/article/pii/S0306261922004123
Yang, Q., Wang, H., Wang, T., Zhang, S., Wu, X., Wang, H.: Blockchain-based decentralized energy management platform for residential distributed energy resources in a virtual power plant. Appl. Energy 294, 117026 (2021)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Chandrakar, P., Dewangan, N.K., Chandrakar, K. (2022). Decentralized Energy Management in Smart Cities Using Blockchain Technology. In: Panda, S.K., Rout, R.R., Sadam, R.C., Rayanoothala, B.V.S., Li, KC., Buyya, R. (eds) Computing, Communication and Learning. CoCoLe 2022. Communications in Computer and Information Science, vol 1729. Springer, Cham. https://doi.org/10.1007/978-3-031-21750-0_9
Download citation
DOI: https://doi.org/10.1007/978-3-031-21750-0_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-21749-4
Online ISBN: 978-3-031-21750-0
eBook Packages: Computer ScienceComputer Science (R0)