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Modelling and Designing an IoT based energy meter for hybrid energy consumption Monitoring and Transmission- Heterogeneous Hybrid Environment (HEE), a Case Study

Rosaline A. H. Eke Dr. Matthew Ehikhamenle

Subject area: Science,Engineering and Technology  ·  Area of research: IoT in Energy Consumption

Abstract

Developing nations grapple with insufficient electricity supply, often due to a lack of comprehensive planning and coordinated energy management. This research addresses the critical need for accurate and real-time energy consumption data in heterogeneous hybrid environments (HEE), where populations utilize both grid and alternative energy sources. To this end, the study aims to model and design an Internet of Things (IoT)-based energy meter capable of monitoring and transmitting the total energy consumption, irrespective of the source, along with location data. The research first reviews existing energy monitoring systems and then develops a mathematical model to characterize energy consumption in HEE. Subsequently, it proposes an IoT-based energy meter design for hybrid energy measurement and transmission. A comprehensive framework is then developed as a roadmap for energy consumption monitoring and storage in such environments. Finally, a proof-of-concept (PoC) is designed and prototyped, demonstrating the feasibility of the proposed framework with two customers in different locations. The prototype encompasses a physical layer sensor node for real-time hybrid energy data acquisition, a Firebase-based back-end layer for secure data storage, and a front-end layer for authorized user access and visualization. The successful development and validation of this IoT-based system offer a pathway towards informed energy planning, management, and forecasting in developing nations like Nigeria, ultimately contributing to improved electricity supply and resource allocation.

Keywords

Heterageneous hybrid Environment, Internet of Thimgs, Transmission.

References

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How to cite this paper

Rosaline A. H. Eke, Dr. Matthew Ehikhamenle " Modelling and Designing an IoT based energy meter for hybrid energy consumption Monitoring and Transmission- Heterogeneous Hybrid Environment (HEE), a Case Study" Iconic Research And Engineering Journals Volume 9 Issue 1 2025 Page 1844-1851
Rosaline A. H. Eke, Dr. Matthew Ehikhamenle " Modelling and Designing an IoT based energy meter for hybrid energy consumption Monitoring and Transmission- Heterogeneous Hybrid Environment (HEE), a Case Study" Iconic Research And Engineering Journals, vol. 9, no. 1, Jul. 2025
Rosaline A. H. Eke, Dr. Matthew Ehikhamenle (2025). Modelling and Designing an IoT based energy meter for hybrid energy consumption Monitoring and Transmission- Heterogeneous Hybrid Environment (HEE), a Case Study. Iconic Research And Engineering Journals, 9(1).
Rosaline A. H. Eke, Dr. Matthew Ehikhamenle " Modelling and Designing an IoT based energy meter for hybrid energy consumption Monitoring and Transmission- Heterogeneous Hybrid Environment (HEE), a Case Study" Iconic Research And Engineering Journals, vol. 9, no. 1, Jul. 2025.
@article{1709903,
      author = {Rosaline A. H. Eke, Dr. Matthew Ehikhamenle},
      title = { Modelling and Designing an IoT based energy meter for hybrid energy consumption Monitoring and Transmission- Heterogeneous Hybrid Environment (HEE), a Case Study},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {1},
      pages = {1844-1851},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1709903.pdf},
      abstract = {Developing nations grapple with insufficient electricity supply, often due to a lack of comprehensive planning and coordinated energy management. This research addresses the critical need for accurate and real-time energy consumption data in heterogeneous hybrid environments (HEE), where populations utilize both grid and alternative energy sources. To this end, the study aims to model and design an Internet of Things (IoT)-based energy meter capable of monitoring and transmitting the total energy consumption, irrespective of the source, along with location data. The research first reviews existing energy monitoring systems and then develops a mathematical model to characterize energy consumption in HEE. Subsequently, it proposes an IoT-based energy meter design for hybrid energy measurement and transmission. A comprehensive framework is then developed as a roadmap for energy consumption monitoring and storage in such environments. Finally, a proof-of-concept (PoC) is designed and prototyped, demonstrating the feasibility of the proposed framework with two customers in different locations. The prototype encompasses a physical layer sensor node for real-time hybrid energy data acquisition, a Firebase-based back-end layer for secure data storage, and a front-end layer for authorized user access and visualization. The successful development and validation of this IoT-based system offer a pathway towards informed energy planning, management, and forecasting in developing nations like Nigeria, ultimately contributing to improved electricity supply and resource allocation.},
      keywords = {Heterageneous hybrid Environment, Internet of Thimgs, Transmission.},
      month = {July},
  }