ENERGY MANAGEMENT SYSTEM WITH HOME AUTOMATION

Year : 2024 | Volume :14 | Issue : 01 | Page : 1-10
By

Hisham Abbas

Ajaz N S

Hisham Abbas

Nandhu Jayaram

Thara s

Tensy Thomas

  1. Student, Department of Electronics & Communication Engineering, Bishop Jerome Institute, South Kollam, Karunagappally, Kerala , India
  2. Student, Department of Electronics & Communication Engineering, Bishop Jerome Institute, South Kollam, Karunagappally, Kerala , India
  3. Student, Department of Electronics & Communication Engineering, Bishop Jerome Institute, South Kollam, Karunagappally, Kerala , India
  4. Student, Department of Electronics & Communication Engineering, Bishop Jerome Institute, South Kollam, Karunagappally, Kerala , India
  5. Student, Department of Electronics & Communication Engineering, Bishop Jerome Institute, South Kollam, Karunagappally, Kerala , India
  6. Assistant Professor, Department of Electronics & Communication Engineering, Bishop Jerome Institute, South Kollam, Karunagappally, Kerala , India

Abstract

The surge in population and industrial activity is leading to higher energy consumption rates daily, yet there’s a shortage of expertise in monitoring and managing this usage. Traditional energy meters used in homes are offline and necessitate manual readings, which can be addressed through the adoption of smart energy meters. Proposed as an IoT-based solution, these meters enable users to access readings globally, providing detailed information on voltage, current, power, frequency, and energy usage, facilitating precise load control. Each room is equipped with a Passive Infrared (PIR) sensor to aid load control. This IoT-driven solution offers consumers enhanced control over their energy consumption through accurate load control, user-friendly interfaces, remote monitoring, and customizable tariff options. By promoting sustainable energy practices and leveraging automation and advanced technology, it addresses challenges arising from escalating energy demands. Additionally, users can tailor tariffs based on their income, facilitated by the system. The system employs PZEM-004T sensors to measure parameters, with data transmitted to the server via Node MCU, and users can operate it through online and mobile applications.

Keywords: EMS, Home Automation, Wireless control, Smart system, Peak load management.

[This article belongs to Journal of Energy, Environment & Carbon Credits(joeecc)]

How to cite this article: Hisham Abbas, Ajaz N S, Hisham Abbas, Nandhu Jayaram, Thara s, Tensy Thomas. ENERGY MANAGEMENT SYSTEM WITH HOME AUTOMATION. Journal of Energy, Environment & Carbon Credits. 2024; 14(01):1-10.
How to cite this URL: Hisham Abbas, Ajaz N S, Hisham Abbas, Nandhu Jayaram, Thara s, Tensy Thomas. ENERGY MANAGEMENT SYSTEM WITH HOME AUTOMATION. Journal of Energy, Environment & Carbon Credits. 2024; 14(01):1-10. Available from: https://journals.stmjournals.com/joeecc/article=2024/view=150874

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References

  1. C. Medina Joe Mel U. Pamplona, and Anna Patricia Uy, “Monitoring AndControl of Electricity Consumption Using Raspberry Pi Through IoT,” LPU–LagunaJ. Eng. Comput. Stud., vol. 4, no. 1, pp. 50–66, 2018.
  1. A. Prasetyo ,A. G. Prabawati, and Suyoto, “Smart home: Power electric monitoring and control in Indonesia,” Int. J. Interact. Mob. Technol., vol. 13, no. 3, pp. 143–151, 2019
  1. David , S., Akshara, P., Dixit, S., Purnimaa, S “Decrease of power consumption utilizing IoT,” Int. J. Innov. Technol. Explore. Eng., vol.9, no. 1, pp. 5316–5319, 2019.

 

  1. Ida Bagus Gede Purwania I Nyoman Satya Kumara, and Made Sudarma” Application of IoT-Based System for Monitoring Energy Consumption”, International Journal of Engineering and Emerging Technology, Vol.5, No.2, December 2020
  1. Sean Dieter Tebje Kelly, Nagender Kumar Suryadevara, and Subhas Chandra Mukhopadhyay“Towards the Implementation of IoT for Environmental Condition Monitoring in Homes”, IEEE Sensors journal, 2013
  1. Sivasubramanian, S. Sivasankaran and S. ThiruNiraiSenthil, (2014). A Proposed Android Based Mobile Application to Monitor Works at Remote Sites. https://www.ijsr.net/archive/v3i2/MDQwMjE0MDE=.pdf (Accessed 15 November 2017).
  1. Kodali RK, Sahu A. An IoT based weather information prototype using WeMos. In2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) 2016 Dec 14 (pp. 612-616). IEEE.
  1. Wibisono G, Badruzzaman N. Strategy of smart meter infrastructure implementation using LPWAN technology, pilot project PLN Bali Case Study. InMATEC Web of Conferences 2018 (Vol. 218, p. 03013). EDP Sciences.
  2. Asghar MH, Negi A, Mohammadzadeh N. Principal application and vision in Internet of Things (IoT). InInternational Conference on Computing, Communication & Automation 2015 May 15 (pp. 427-431). IEEE.
  1. Celebre AM, Dubouzet AZ, Medina IB, Surposa AN, Gustilo RC. Home automation using raspberry Pi through Siri enabled mobile devices. In2015 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM) 2015 Dec 9 (pp. 1-6). IEEE.

Regular Issue Subscription Original Research
Volume 14
Issue 01
Received April 27, 2024
Accepted May 1, 2024
Published June 14, 2024