Development of a Smart Metering System for Efficient Energy Consumption
Main Article Content
Abstract
Smart energy concepts are based on the utilization of emerging integrated microprocessors and communication technologies for monitoring energy consumption. In the utilization of electricity, energy management is a core problem, especially for cost savings to the benefit of electricity customers. In modern electricity generation, transmission and consumption, energy management has occupied the center of attention for sustainable techno-economic motives. The present-day power sector has an immense role to play in the overall economic performance of the global community, thus, requiring the application of efficient and reliable metering systems for the measurement of energy consumption. The application of a smart metering system depends on the effectiveness of the embedded smart communication interface in the utility service provider system and the energy consumers’ metering devices based on energy supply reliability and consumption security. Therefore, this study focuses on the design and development of an efficient smart energy meter using the advancements provided by the Internet of Things (IoTs). The system was tested based on the collection of real-time data and subsequently analyzed for performance evaluation through a case study of household data collection.
Article Details
Copyright (c) 2024 Izilein Fred Abeibhode, Akinola Olubumi, Guiwa Mathurine, Yekini Suberu Mohammed, Obakpolor Osazuwa (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
Izilein Fred Abeibhode, Igbinedion University Okada, Edo State, Nigeria.
Department of Electrical and Electronics Engineering,
College of Engineering,
Igbinedion University Okada, Edo State, Nigeria.
Akinola Olubumi, Igbinedion University Okada, Edo State, Nigeria.
Department of Electrical and Electronics Engineering,
College of Engineering,
Igbinedion University Okada, Edo State, Nigeria.
Guiwa Mathurine, Igbinedion University Okada, Edo State, Nigeria.
Department of Electrical and Electronics Engineering,
College of Engineering,
Igbinedion University Okada, Edo State, Nigeria.
Yekini Suberu Mohammed, Igbinedion University Okada, Edo State, Nigeria.
Department of Electrical and Electronics Engineering,
College of Engineering,
Igbinedion University Okada, Edo State, Nigeria.
Obakpolor Osazuwa, Igbinedion University Okada, Edo State, Nigeria.
Department of Electrical and Electronics Engineering,
College of Engineering,
Igbinedion University Okada, Edo State, Nigeria.
Adetokun, B. B., Somefun, T. E., Adekitan, A. I., Aligbe, A., & Orimogunje, A. M. (2018). Development of an ANN-based estimated electricity billing system. In 2018 IEEE PES/IAS PowerAfrica (pp. 96-101). IEEE.
https://doi.org/10.1109/PowerAfrica.2018.8521004
Ahmed, M. S., Mohamed, A., Khatib, T., Shareef, H., Homod, R. Z., & Abd Ali, J. (2017). Real time optimal schedule controller for home energy management system using new binary backtracking search algorithm. Energy and Buildings, 138, 215-227.
https://doi.org/10.1016/j.enbuild.2016.12.052
Ajenikoko, A. G., & Adelusi, L. O. (2015). Impact of prepaid energy metering system on the electricity consumption in Ogbomoso South local government area of Oyo State. Computer engineering and intelligent systems, 6(5), 99-105.
Altomonte, A., Arena, F., Riccio, M., & Irace, A. (2021). A New Three-Phase Smart Meter for Cloud Connection: Network Architecture and Performances. Engineering Proceedings, 10(1), 46.
https://doi.org/10.3390/ecsa-8-11260
Aqeel, M., Shahab, H., Naeem, M., Shahbaz, M. S., Qaisar, F., & Shahzad, M. A. (2023). Intelligent Smart Energy Meter Reading System Using Global System for Mobile Communication. Int. J. Intell. Syst. Appl, 14(1), 35.
https://doi.org/10.5815/ijisa.2023.01.04
Braeken, A., Kumar, P., & Martin, A. (2018). Efficient and privacy-preserving data aggregation and dynamic billing in smart grid metering networks. Energies, 11(8), 2085.
https://doi.org/10.3390/en11082085
Dahunsi, F. M., Olakunle, O. R., & Melodi, A. O. (2021). Evolution of electricity metering technologies in Nigeria. Nigerian Journal of Technological Development, 18(2), 152-165.
https://doi.org/10.4314/njtd.v18i2.10
Haq, E. U., Lyu, C., Xie, P., Yan, S., Ahmad, F., & Jia, Y. (2022). Implementation of home energy management system based on reinforcement learning. Energy Reports, 8, 560-566.
https://doi.org/10.1016/j.egyr.2021.11.170
Jaiswal, D. M., & Thakre, M. P. (2022). Modeling & designing of smart energy meter for smart grid applications. Global Transitions Proceedings, 3(1), 311-316.
https://doi.org/10.1016/j.gltp.2022.03.017
Kumar, G., Kumar, L., & Kumar, S. (2023). Multi-objective control-based home energy management system with smart energy meter. Electrical Engineering, 105(4), 2095-2105.
https://doi.org/10.1007/s00202-023-01790-x
Rind, Y. M., Raza, M. H., Zubair, M., Mehmood, M. Q., & Massoud, Y. (2023). Smart energy meters for smart grids, an internet of things perspective. Energies, 16(4), 1974.
https://doi.org/10.3390/en16041974
Makanjuola, N., Shoewu, O., Akinyemi, L., & Ogunsanya, O. (2019). Investigation on Smart Meters and Revenue Generated for a Year Using Eko Electricity Distribution Company of Nigeria as Case Study. Data Research, 3, 1-12.
Martins, J. F., Pronto, A. G., Delgado-Gomes, V., & Sanduleac, M. (2019). Smart meters and advanced metering infrastructure. In Pathways to a smarter power system (pp. 89-114). Academic Press.
https://doi.org/10.1016/B978-0-08-102592-5.00004-1
Mudaliar, M. D., & Sivakumar, N. (2020). IoT based real time energy monitoring system using Raspberry Pi. Internet of Things, 12, 100292.
https://doi.org/10.1016/j.iot.2020.100292
Rocha, H. R., Honorato, I. H., Fiorotti, R., Celeste, W. C., Silvestre, L. J., & Silva, J. A. (2021). An Artificial Intelligence based scheduling algorithm for demand-side energy management in Smart Homes. Applied Energy, 282, 116145.
https://doi.org/10.1016/j.apenergy.2020.116145
Seoung-Hwan, C., S. H., Kang, S. J., Jung, N. J., & Yang, I. K. (2011). The design of outage management system utilizing meter information based on AMI (Advanced Metering Infrastructure) system. In 8th International Conference on Power Electronics-ECCE Asia (pp. 2955-2961). IEEE.
https://doi.org/10.1109/ICPE.2011.5944797
Sivakumar, V., Swathi, R., & Yuvaraj, V. (2021). An IoT-Based Energy Meter for Energy Level Monitoring, Predicting, and Optimization. In Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing (pp. 48-65). IGI Global.
https://doi.org/10.4018/978-1-7998-3111-2.ch004
Somefun, T. E., Awosope, C. O. A., & Chiagoro, A. (2019). Smart prepaid energy metering system to detect energy theft with facility for real time monitoring. International Journal of Electrical and Computer Engineering, 9(5), 4184.
https://doi.org/10.11591/ijece.v9i5.pp4184-4191
Sui, H., Wang, H., Lu, M. S., & Lee, W. J. (2009). An AMI system for the deregulated electricity markets. IEEE Transactions on Industry Applications, 45(6), 2104-2108.
https://doi.org/10.1109/TIA.2009.2031848
Zanghi, E., Brown Do Coutto Filho, M., & Stacchini de Souza, J. C. (2024). Collaborative smart energy metering system inspired by blockchain technology. International Journal of Innovation Science, 16(2), 227-243.
Article Sidebar
