Open AccessINTELLIGENT ENERGY MANAGEMENT SYSTEM FOR RESIDENTIAL BUILDINGS BASED ON ZIGBEE TECHNOLOGY
Author(s) -
Sangeeta Modi,
Ritu Naiya,
Shaik Shabana
Publication year - 2013
Publication title -
international journal of power system operation and energy management
Language(s) - English
Resource type - Journals
ISSN - 2231-4407
DOI - 10.47893/ijpsoem.2013.1085
Subject(s) - energy management , energy management system , energy consumption , scheme (mathematics) , wireless sensor network , building management system , electricity , building automation , architectural engineering , work (physics) , efficient energy use , management system , energy (signal processing) , computer science , wireless , telecommunications , embedded system , engineering , computer network , operations management , electrical engineering , statistics , physics , mathematics , thermodynamics , mechanical engineering , mathematical analysis , control (management) , artificial intelligence
Energy consumption in residential buildings account for 20 to 40 per cent of total energy consumed in a country and therefore represents a significant and potential source of energy savings. An Intelligent Energy Management System can contribute to major reductions of energy use in hundreds of millions of buildings. This paper gives an overview of sensor technology and wireless networks in the development of an intelligent energy management system for residential buildings (IEMSRB). This technology has ample potential to change the way we live and work. In this paper ZigBee is used as a communication medium in building intelligent energy management system. From the prototype setup, it is shown that ZigBee is a suitable technology to be adopted as the communication infrastructure in energy management system forresidential buildings .The performance analysis discussed in this paper verifies the effectiveness of using ZigBee in energy management system. The novelty of the present scheme is its ability to save the energy and improve the performance as it learns and gains more experience in real-time operations. Results also demonstrate that the proposed scheme can achieve the minimum electricity cost for residential customers. The proposed system can be installed and maintained in residential environments with ease.