Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30075
ICT for Smart Appliances: Current Technology and Identification of Future ICT Trend

Authors: Abubakar Uba Ibrahim, Ibrahim Haruna Shanono

Abstract:

Smart metering and demand response are gaining ground in industrial and residential applications. Smart Appliances have been given concern towards achieving Smart home. The success of Smart grid development relies on the successful implementation of Information and Communication Technology (ICT) in power sector. Smart Appliances have been the technology under development and many new contributions to its realization have been reported in the last few years. The role of ICT here is to capture data in real time, thereby allowing bi-directional flow of information/data between producing and utilization point; that lead a way for the attainment of Smart appliances where home appliances can communicate between themselves and provide a self-control (switch on and off) using the signal (information) obtained from the grid. This paper depicts the background on ICT for smart appliances paying a particular attention to the current technology and identifying the future ICT trends for load monitoring through which smart appliances can be achieved to facilitate an efficient smart home system which promote demand response program. This paper grouped and reviewed the recent contributions, in order to establish the current state of the art and trends of the technology, so that the reader can be provided with a comprehensive and insightful review of where ICT for smart appliances stands and is heading to. The paper also presents a brief overview of communication types, and then narrowed the discussion to the load monitoring (Non-intrusive Appliances Load Monitoring ‘NALM’). Finally, some future trends and challenges in the further development of the ICT framework are discussed to motivate future contributions that address open problems and explore new possibilities.

Keywords: Communication technology between appliances, demand response, load monitoring, smart appliances and smart grid.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1338734

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1662

References:


[1] "ICT for a Low Carbon: Economy Smart Electricity Distribution Networks,'' EC ISM, July, 2009.
[2] Melike Erol-Kantarci and Hussein T. Mouftah, "Wireless Sensor Networks for Cost-Efficient Residential Energy Management in the Smart Grid," IEEE Transactions on Smart Grid, vol. 2, June 2011.
[3] G.W. Hart, “Nonintrusive Appliance Load Monitoring,” Proc. IEEE, vol. 80, no. 12, 1992, pp. 1870–1891.
[4] David C. Bergman, Dong Jin, Joshua P. Juen, Naoki Tanaka, Carl A. Gunter and Andrew K. Wright, "Nonintrusive Load-Shed Verification," Proc.IEEE,2011.
[5] L. Hauttekeete, J. Stragier, W. Haerick, and L. De Marez, "Smart, smarter, smartest…the consumer meets the smart electrical grid" 978-1- 4244-7986-3/10/ IEEE 2010.
[6] Liu, W. & Yan, Y. (2011) Application of ZigBee Wireless Sensor Network in Smart Home System, International Journal of Advancements in Computing Technology, Vol.3, No.5.
[7] Mollering, M. (2007) Communication Containers for Smart Appliances, A Report prepared as part of the EIE project “Smart Domestic Appliances in Sustainable Energy Systems”.
[8] Culler D, Estrin D, Srivastava M. “Overview of Sensor Networks”. Computer, Vol. 37, No. 8, pp.41-49, 2004.
[9] W. Ning, Q.Z. Nai, H.W. Mao, “Wireless sensors in agriculture and food industry - Recent development and future perspective”. Computers and Electronics in Agriculture, vol. 50, 2006, pp. 1–14.
[10] Zhenyu Wang, Guilin Zheng. "New method for non-intrusive data extraction and classification of residential appliances," Control and Decision Conference (CCDC), 2011 Chinese, vol., no., pp.2196-2201, 23-25 May 2011.
[11] Yu-Hsiu Lin; Men-Shen Tsai; , "A novel feature extraction method for the development of nonintrusive load monitoring system based on BPANN," Computer Communication Control and Automation (3CA), 2010 International Symposium on , vol.2, no., pp.215-218, 5-7 May 2010.
[12] Yu-Hsiu Lin; Men-Shen Tsai; , "Applications of hierarchical support vector machines for identifying load operation in nonintrusive load monitoring systems," Intelligent Control and Automation (WCICA), 2011 9th World Congress on , vol., no., pp.688-693, 21-25 June 2011.
[13] Hsueh-Hsien Chang; Kun-Long Chen; Yuan-Pin Tsai; Wei-Jen Lee; , "A new measurement method for power signatures of non-intrusive demand monitoring and load identification," Industry Applications Society Annual Meeting (IAS), 2011 IEEE , vol., no., pp.1-7, 9-13 Oct. 2011.
[14] Najmeddine, H.; El KhamlichiDrissi, K.; Pasquier, C.; Faure, C.; Kerroum, K.; Diop, A.; Jouannet, T.; Michou, M.; , "State of art on load monitoring methods," Power and Energy Conference, 2008. PECon 2008. IEEE 2nd International, vol., no., pp.1256-1258, 1-3 Dec. 2008.
[15] John Soraghan.Digital signal processing principle (hand outs). Strathclyde University.2012.
[16] Lei Jiang; Jiaming Li; SuhuaiLuo; Jin, J.; West, S.; , "Literature review of power disaggregation," Modelling, Identification and Control (ICMIC), Proceedings of 2011 International Conference on , vol., no., pp.38-42, 26-29 June 2011.
[17] Liam Greenshaw.NALM (Summer Internship report). Strathclyde University.2011.