A Survey of Communications and Networking Technologies for Energy Management in Buildings and Home Automation. (6th March 2012)

• Record Type: Journal Article
• Authors: Kailas, Aravind; Cecchi, Valentina; Mukherjee, Arindam
• Other Names: Wu Tin-Yu Academic Editor.
• Is Part Of: Journal of computer networks and communications. Volume 2012(2012)
• Publication Date: 2012-03-06
• Subjects: Computer networks -- Periodicals; Computer science -- Periodicals; 004.605
• DOI: 10.1155/2012/932181
• Languages: English
• ISSNs: 2090-7141

Abstract

Abstract : With the exploding power consumption in private households and increasing environmental and regulatory restraints, the need to improve the overall efficiency of electrical networks has never been greater. That being said, the most efficient way to minimize the power consumption is by voluntary mitigation of home electric energy consumption, based on energy-awareness and automatic or manual reduction of standby power of idling home appliances. Deploying bi-directional smart meters and home energy management (HEM) agents that provision real-time usage monitoring and remote control, will enable HEM in "smart households." Furthermore, the traditionally inelastic demand curve has began to change, and these emerging HEM technologies enable consumers (industrial to residential) to respond to the energy market behavior to reduce their consumption at peak prices, to supply reserves on a as-needed basis, and to reduce demand on the electric grid. Because the development of smart grid-related activities has resulted in an increased interest in demand response (DR) and demand side management (DSM) programs, this paper presents some popular DR and DSM initiatives that include planning, implementation and evaluation techniques for reducing energy consumption and peak electricity demand. The paper then focuses on reviewing and distinguishing the various state-of-the-art HEM control and networking technologies, and outlines directions for promoting the shift towards a society with low energy demand and low greenhouse gas emissions. The paper also surveys the existing software and hardware tools, platforms, and test beds for evaluating the performance of the information and communications technologies that are at the core of future smart grids. It is envisioned that this paper will inspire future research and design efforts in developing standardized and user-friendly smart energy monitoring systems that are suitable for wide scale deployment in homes.