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. 1. Introduction Residential energy consumption and the amount of pollution emitted from the electric generators create side effects that are not beneficial to public health and well-being, including increased pollution in the air and water ( C O 2 and other greenhouse gases, mercury, and other trace elements and particulate matter), and the depletion of finite resources [1]. “Green Smart Home Technologies” are aimed at reducing the footprint of greenhouse gases by efficient energy management in residential buildings. Studies have shown that the display of real-time information on consumption can result in reductions of up
References
[1]
G. T. Gardner and P. C. Stern, “The most effective actions U.S. households can take to curb climate change,” Environment, vol. 50, no. 5, pp. 12–25, 2008.
M. Fitzgerald, “Finding and fixing a homes power hogs,” New York Times, 2008, http://www.nytimes.com/2008/07/27/technology/27proto.html.
[4]
C. W. Gellings, The Smart Grid: Enabling Energy Efficiency and Demand Response, CRC Press, 2009.
[5]
D. J. Cook and S. K. Das, “How smart are our environments? An updated look at the state of the art,” Pervasive and Mobile Computing, vol. 3, no. 2, pp. 53–73, 2007.
[6]
K. Kok, S. Karnouskos, D. Nestle et al., “Smart houses for a smart grid,” in the 20th International Conference and Exhibition on Electricity Distribution (CIRED '09), June 2009.
[7]
J. R. Roncero, “Integration is key to smart grid management,” in IET-CIRED Seminar on SmartGrids for Distribution, vol. 2008, June 2008.
[8]
M. Erol-Kantarci and H. T. Mouftah, “Wireless sensor networks for domestic energy management in smart grids,” in 25th Queen's Biennial Symposium on Communications (QBSC '10), pp. 63–66, Kingston, Canada, May 2010.
[9]
D. G. Hart, “Using AMI to realize the Smart Grid,” in IEEE Power and Energy Society General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES, pp. 1–2, July 2008.
[10]
C. Hertzog, Smart Grid Dictionary, GreenSpring Marketing, 1st edition, 2009.
[11]
H. Farhangi, “The path of the smart grid,” IEEE Power and Energy Magazine, vol. 8, no. 1, pp. 18–28, 2010.
[12]
K. Wacks, “The gridwise vision for a smart grid,” Parks Associates' CONNECTIONS, June 2009.
[13]
M. Inoue, T. Higuma, Y. Ito, N. Kushiro, and H. Kubota, “Network architecture for home energy management,” IEEE Transactions on Consumer Electronics, vol. 49, no. 3, pp. 606–613, 2003.
[14]
N. Kushiro, S. Suzuki, M. Nakata, H. Takahara, and M. Inoue, “Integrated residential gateway controller for home energy management system,” IEEE Transactions on Consumer Electronics, vol. 49, no. 3, pp. 629–636, 2003.
[15]
R. Masiello, “Demand Response: the other side of the curve,” IEEE Power and Energy Magazine, vol. 8, no. 3, p. 18, 2010.
[16]
US Department of Energy, “Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them”.
[17]
M. H. Albadi and E. F. El-Saadany, “Demand response in electricity markets: an overview,” in IEEE Power Engineering Society General Meeting (PES '07), June 2007.
[18]
Charles River Associates, “Primer on demand-side management With an emphasis on price-responsive programs,” Prepared for The World Bank by Charles River Associates, February 2005.
[19]
EPRI, “Survey of utility demand-side management programs,” EPRI TR-102193, 1993.
[20]
NERC, Electricity Supply and Demand, for 1993–2002, North American Electric Reliability Council, Princeton, NJ, USA, 1993.
[21]
Barakat & Chamberlin, Inc, Principles and Practice of Demand-Side Management, EPRI TR-102556, Palo Alto, Calif, USA, 1993.
[22]
A. Brooks, E. Lu, D. Reicher, C. Spirakis, and B. Weihl, “Demand dispatch,” IEEE Power and Energy Magazine, vol. 8, no. 3, pp. 20–29, 2010.
[23]
A. Vojdani, “Smart integration,” IEEE Power and Energy Magazine, vol. 6, no. 6, pp. 71–79, 2008.
[24]
N. Gudi, L. Wang, V. Devabhaktuni, and S. S. S. R. Depuru, “Demand response simulation implementing heuristic optimization for home energy management,” in the North American Power Symposium (NAPS '10), September 2010.
[25]
T. C. Matty, “Advanced energy management for home use,” IEEE Transactions on Consumer Electronics, vol. 35, no. 3, pp. 584–588, 1989.
[26]
T. Ikegami, Y. Iwafune, and K. Ogimoto, “Optimum operation scheduling model of domestic electric appliances for balancing power supply and demand,” in the International Conference on Power System Technology (POWERCON '10), October 2010.
[27]
T. Verschueren, W. Haerick, K. Mets, C. Develder, F. De Turck, and T. Pollet, “Architectures for smart end-user services in the power grid,” in the IEEE/IFIP Network Operations and Management Symposium Workshops (NOMS '10), pp. 316–322, April 2010.
[28]
D. L. Ha, F. F. De Lamotte, and Q. H. Huynh, “Real-time dynamic multilevel optimization for Demand-side Load management,” in the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM '07), pp. 945–949, December 2007.
[29]
K. P. Wacks, “Utility load management using home automation,” IEEE Transactions on Consumer Electronics, vol. 37, no. 2, pp. 168–174, 1991.
[30]
M. H. Shwehdi and A. Z. Khan, “A power line data communication interface using spread spectrum technology in home automation,” IEEE Transactions on Power Delivery, vol. 11, no. 3, pp. 1232–1237, 1996.
[31]
L. D. Ha, S. Ploix, E. Zamai, and M. Jacomino, “Tabu search for the optimization of household energy consumption,” in IEEE International Conference on Information Reuse and Integration (IRI '06), pp. 86–92, September 2006.
[32]
S. Kishore and L. V. Snyder, “Control mechanisms for residential electricity demand in smartgrids,” in Proceedings of the 1st IEEE International Conference on Smart Grid Communications (SmartGridComm '10), pp. 443–448, 2010.
[33]
B. Ablondi, “Residential energy management,” Parks Associates' CONNECTIONS, June 2009.
U. Saif, D. Gordon, and D. J. Greaves, “Internet access to a home area network,” IEEE Internet Computing, vol. 5, no. 1, pp. 54–63, 2001.
[36]
E. Callaway, P. Gorday, L. Hester et al., “Home networking with IEEE 802.15.4: a developing standard for low-rate wireless personal area networks,” IEEE Communications Magazine, vol. 40, no. 8, pp. 70–77, 2002.
[37]
W. K. Park, I. Han, and K. R. Park, “ZigBee based dynamic control scheme for multiple legacy IR controllable digital consumer devices,” IEEE Transactions on Consumer Electronics, vol. 53, no. 1, pp. 172–177, 2007.