Efficient Energy Management System using Zigbee f or Residential Application
Shyni S.M1, Abitha Memala W2, Bhuvaneswari C.3, Judy Simon4
1Shyni S.M, Assistant Professor, Department of Electrical and Electronics Engineering, Sathyabama Institute of Science and Technology, Chennai
2Abitha Memala W, Associate Professor in the Department of Electrical and Electronics Engineering, Sathyabama Institute of Science and Technology, Chennai.
3Bhuvaneswari C., pursuing Ph.D., faculty of Electrical and Electronics in Sathyabama Institute of Science and Technology.
4Judy Simon, Assistant Professor. Department of Electronics and Communication Engineering, Jeppiaar Maamallan Engineering College.

Manuscript received on November 15, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on November 30, 2019. | PP: 1406-1411 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7384118419/2019©BEIESP | DOI: 10.35940/ijrte.D7384.118419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Energy management system is one of the challenging tasks associated with residential buildings. The cost of energy is purely based on the amount of energy consumed during peak hours. This paper focuses on an efficient energy management system for the control of energy consumption during peak hours. ZigBee module is used to monitor the energy consumed by the home appliances. The working of the proposed system is categorized into two modes of operation: normal time and peak time. During normal time, all home appliances can be operated and the cost of energy will be at normal rate. Whereas, during peak time, high rating machines will be shut down, that is controlled by ZigBee and the light loads will be operated from battery supply. Thus the proposed system reduces the energy consumption and is cost effective. Simulation analysis is done using proteus software. Hardware model is also implemented which proves that the proposed energy management system improves the energy efficiency.
Keywords: Energy Management, Energy Consumption, Energy Efficiency, Normal Time, Peak Time, Zigbee.
Scope of the Article: Data Management.