Energy Consumption Control of an Air Conditioner Using Web Services
Asaad Elmoudi, Omar Asad, Melike Erol-Kantarci, Hussein Talaat Mouftah
DOI: 10.4236/sgre.2011.23028   PDF    HTML   XML   6,122 Downloads   11,429 Views   Citations


Air-conditioning (AC) systems have the highest power consumption among the appliances and consumer devices used at residential homes and buildings. Reducing their energy use will lower peak time usage and lower CO2 emissions. Recently, employment of the Information and Communications Technologies (ICT) to the power grid has smartened the grid. In the smart grid new opportunities emerge for AC energy consumption control. The aim of this paper is to reduce the air conditioning energy consumption of residential customers. It proposes an architecture that provides easy management and control using sensor network web services. A simulation thermal model of a house considers house data and outside temperature is presented. Simulation results showed a proposed temperature control method can have significant energy saving while maintaining customer comfort.

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A. Elmoudi, O. Asad, M. Erol-Kantarci and H. Mouftah, "Energy Consumption Control of an Air Conditioner Using Web Services," Smart Grid and Renewable Energy, Vol. 2 No. 3, 2011, pp. 255-260. doi: 10.4236/sgre.2011.23028.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] The National Energy Technology Laboratory (NETL), “A Systems View of the Modern Grid; Sensing and Measurement,” March 1, 2007.
[2] N. Nhat-Hai, T. Quoc-Tuan, L. Jean-Michel, V. Tan-Phu, “A Real-Time Control Using Wireless Sensor Network for Intelligent Energy Management System In Buildings,” Proceedings of the IEEE Workshop on Environmental Energy and Structural Monitoring Systems (EESMS), Taranto, 9 September 2010, pp. 87-92. doi:org/10.1109/EESMS.2010.5634176
[3] K. Le, T. Tran-Quoc, J. C. Sabonnadiere, C. Kieny and N. Hadjsaid, “Peak Load Reduction by Using Air-Conditioning Regulators,” Proceedings of the IEEE Mediterranean Electrotechnical Conference MELECON 2008, 5-7 May 2008, pp. 713-718.
[4] T. Tran-Quoc, J. C. Sabonnadiere, C. N. Hadjsaid and Ch. Kieny, “Air Conditioner Direct Load Control in Distribution Networks,” Proceedings of the IEEE Power Tech Conference Conference 2009, Bucharest, 28 June - 7 July 2009, pp. 713-718.
[5] A. Molderink, V. Bakker, G. Maurice, M. G. C. Bosman, J. L. Hurink and G. J. M. Smit, “Management and Control of Domestic Smart Grid Technology,” IEEE Transactions on Smart Grid , Vol. 1, No. 2, September 2010, pp. 109- 119. doi:org/10.1109/EESMS.2010.5634176
[6] E. Kazanavi?ius, A. Mikuckas, I. Mikuckien? and J. ?eponis, “The Heat Balance Model of Residential House,” Information Technology and Control, Vol. 35, No. 4, 2006, pp. 391-396.
[7] M. A. A. Pedrasa, T. D. Spooner and I. F. MacGill, “Coordinated Scheduling of Residential Distributed Energy Resources to Optimize Smart Home Energy Services,” IEEE Transactions on Smart Grid , Vol. 1, No. 2, September 2010, pp. 134-143. doi:org/10.1109/TSG.2010.2053053
[8] Y. Dogan and D. Adam, “Ef?cient Application Integration in IP-Based Sensor Networks,” Proceedings of the First ACM Workshop on Embedded Sensing System for Energy-Ef?ciency in Buildings (BuildSys09), Berkeley, CA, 2009.
[9] N. Priyantha, A. Kansal, M. Goraczko and F. Zhao, “Tiny Web Service: Design and Implementation of Interoperable and Evolvable Sensor Networks,” Proceedingds of the 6th ACM Conference on Embedded Network Sensor Systems (SenSys08), Raleigh, NC, 2008, pp. 253-266.
[10] P. Gibbons, B. Karp, Y. Ke, S. Nath and S. Seshan, “Iris Net: An Architecture for A Worldwide Sensor Web,” IEEE Pervasive Computing, Vol. 2, No. 4, October-December 2003, pp. 14-21.
[11] O. Asad, M. Erol-Kantarci and H. T. Mouftah, “Sensor Network Web Services for Demand-Side Energy Management Applications in the Smart Grid,” Proceedings of the IEEE Consumer Communications and Networking Conference (CCNC11), Las Vegas, January 2011.
[12] “Canadian Center for Occupational Health and Safety CCOHS,” August 2011.

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