skip to main content
10.1145/2808047.2808057acmotherconferencesArticle/Chapter ViewAbstractPublication PageschinzConference Proceedingsconference-collections
research-article

Simulating Electricity Consumption Pattern for Household Appliances using Demand Side Strategies: A Review

Published:03 September 2015Publication History

ABSTRACT

This paper investigates research work related to the modelling and simulation of household electricity consumption with a view to developing a simulation to evaluate the effectiveness of demand-side management mechanisms. The eventual aim of the research is to be able to model household consumption down to the level of individual appliance use in order to explore and assess the impact of different demand-side strategies, both in individual household consumption, and on overall grid balance. The focus of this paper is to survey relevant research on simulation of household consumption, potential demand-side strategies and their impact, and modelling techniques for residential consumption. From this review, the paper provides a number of pointers for future effort in the area of modelling the impact of demand-side management strategies and techniques.

References

  1. A. Ferreira, C. Cavalcante, C. Fontes, J. Marambio. 2013. "A New Method for Pattern Recognition in Load Profiles to Support Decision-Making in the Management of the Electric Sector." Electrical Power and Energy Systems 53: 824--31.Google ScholarGoogle ScholarCross RefCross Ref
  2. Bajada, Josef, Maria Fox, and Derek Long. 2013. "Load Modelling and Simulation of Household Electricity Consumption for the Evaluation of Demand-Side Management Strategies." IEEE PES ISGT Europe 2013: 1--5. http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6695250.Google ScholarGoogle Scholar
  3. Ciabattoni, Lucio, Massimo Grisostomi, Gianluca Ippoliti, and Sauro Longhi. 2013. "A Fuzzy Logic Tool for Household Electrical Consumption Modeling." IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society: 8022--27. http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6700474.Google ScholarGoogle Scholar
  4. F. Siero, A. Bakker, G. Dekker, M. Burg. 1996. "Changing Organizational Energy Consumption Behaviour through Comparative Feedback." Journal of Environmental Psychology 16: 235--46.Google ScholarGoogle ScholarCross RefCross Ref
  5. F. Van Raaij, J. Van Houwelingen. 2014. "The Effect of on and In-Home Daily Energy Use Electronic Feedback." JSTOR 16(1): 98--105.Google ScholarGoogle Scholar
  6. Firth, S., K. Lomas, a. Wright, and R. Wall. 2008. "Identifying Trends in the Use of Domestic Appliances from Household Electricity Consumption Measurements." Energy and Buildings 40(5): 926--36. http://linkinghub.elsevier.com/retrieve/pii/S0378778807002022 (March 24, 2014).Google ScholarGoogle ScholarCross RefCross Ref
  7. Gottwalt, Sebastian, Wolfgang Ketter, Carsten Block, John Collins, and Christof Weinhardt. 2011. "Demand Side management---A Simulation of Household Behavior under Variable Prices." Energy Policy 39(12): 8163--74. http://linkinghub.elsevier.com/retrieve/pii/S0301421511008007 (March 19, 2014).Google ScholarGoogle ScholarCross RefCross Ref
  8. Herter, Karen, and Seth Wayland. 2010. "Residential Response to Critical-Peak Pricing of Electricity: California Evidence." Energy 35(4): 1561--67. http://linkinghub.elsevier.com/retrieve/pii/S0360544209003016 (August 12, 2014).Google ScholarGoogle ScholarCross RefCross Ref
  9. J. Lee, H. Kim, G. Park, M. Kang. 2012. "Energy Consumption Scheduler for Demand Response Systems in the Smart Grid*." 969: 955--69.Google ScholarGoogle Scholar
  10. K.V. Zuniga, I. Castilla, R.M. Aguilar. 2014. "Using Fuzzy Logic to Model the Behavior of Residential Electrical Utility Customers." Applied Energy 115: 384--93.Google ScholarGoogle ScholarCross RefCross Ref
  11. L. Sughnathi, S. Anand. 2012. "Energy Models for Demand Forecasting - A Review." Renewable and Sustainable Energy Reviews 16: 1223--40.Google ScholarGoogle ScholarCross RefCross Ref
  12. M. López-Rodríguez, I. Santiago, D. Trillo-Montero, J. Torriti, A. Moreno-Munoz. 2013. "Analysis and Modeling of Active Occupancy of the Residential Sector in Spain: An Indicator of Residential Electricity Consumption." Energy Policy 62: 742--51.Google ScholarGoogle ScholarCross RefCross Ref
  13. Ministry of Economic Development. 2014. Electricity.Google ScholarGoogle Scholar
  14. Moreau, Alain. 2011. "Control Strategy for Domestic Water Heaters during Peak Periods and Its Impact on the Demand for Electricity." Energy Procedia 12: 1074--82. http://linkinghub.elsevier.com/retrieve/pii/S1876610211019667 (August 14, 2014).Google ScholarGoogle ScholarCross RefCross Ref
  15. Muratori, Matteo, Matthew C. Roberts, Ramteen Sioshansi, Vincenzo Marano, and Giorgio Rizzoni. 2013. "A Highly Resolved Modeling Technique to Simulate Residential Power Demand." Applied Energy 107: 465--73. http://linkinghub.elsevier.com/retrieve/pii/S030626191300175X.Google ScholarGoogle ScholarCross RefCross Ref
  16. Richardson, Ian, Murray Thomson, David Infield, and Conor Clifford. 2010. "Domestic Electricity Use: A High-Resolution Energy Demand Model." Energy and Buildings 42(10): 1878--87. http://linkinghub.elsevier.com/retrieve/pii/S0378778810001854 (May 26, 2014).Google ScholarGoogle ScholarCross RefCross Ref
  17. Rosin, Argo, Taavi Möller, Madis Lehtla, and Hardi Hõimoja. 2010. "Analysis of Household Electricity Consumption Patterns and Economy of Water Heating Shifting and Saving Bulbs." Power and Electrical Engineering 26(1): 15--20.Google ScholarGoogle Scholar
  18. Santiago, I., M.a. López-Rodríguez, a. Gil-de-Castro, a. Moreno-Munoz, and J.J. Luna-Rodríguez. 2013. "Energy Consumption of Audiovisual Devices in the Residential Sector: Economic Impact of Harmonic Losses." Energy 60: 292--301. http://linkinghub.elsevier.com/retrieve/pii/S0360544213006932 (May 27, 2014).Google ScholarGoogle ScholarCross RefCross Ref
  19. Stadler, Michael, Wolfram Krause, Michael Sonnenschein, and Ute Vogel. 2009. "Modelling and Evaluation of Control Schemes for Enhancing Load Shift of Electricity Demand for Cooling Devices." Environmental Modelling & Software 24(2): 285--95. http://linkinghub.elsevier.com/retrieve/pii/S1364815208001321 (August 14, 2014). Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Strbac, Goran. 2008. "Demand Side Management: Benefits and Challenges." Energy Policy 36(12): 4419--26. http://linkinghub.elsevier.com/retrieve/pii/S0301421508004606 (January 26, 2014).Google ScholarGoogle ScholarCross RefCross Ref
  21. Ullah, M.N., N. Javaid, I. Khan, a. Mahmood, and M.U. Farooq. 2013. "Residential Energy Consumption Controlling Techniques to Enable Autonomous Demand Side Management in Future Smart Grid Communications." 2013 Eighth International Conference on Broadband and Wireless Computing, Communication and Applications: 545--50. http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6690944 (July 14, 2014). Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Widén, Joakim, and Ewa Wäckelgård. 2010. "A High-Resolution Stochastic Model of Domestic Activity Patterns and Electricity Demand." Applied Energy 87(6): 1880--92. http://linkinghub.elsevier.com/retrieve/pii/S0306261909004930 (May 27, 2014).Google ScholarGoogle ScholarCross RefCross Ref
  23. Wilson, Bev. 2013. "Urban Form and Residential Electricity Consumption: Evidence from Illinois, USA." Landscape and Urban Planning 115: 62--71. http://linkinghub.elsevier.com/retrieve/pii/S0169204613000601 (May 26, 2014).Google ScholarGoogle ScholarCross RefCross Ref
  24. Yu, Taeyoon, Dong Sik Kim, and Sung-yong Son. 2013. "Home Appliance Scheduling Optimization with Time-Varying Electricity Price and Peak Load Limitation." International Journal of Smart Home 23: 196--99.Google ScholarGoogle Scholar
  25. Zhou, Kai-le, Shan-lin Yang, and Chao Shen. 2013. "A Review of Electric Load Classification in Smart Grid Environment." Renewable and Sustainable Energy Reviews 24: 103--10. http://linkinghub.elsevier.com/retrieve/pii/S1364032113001822 (May 27, 2014).Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Simulating Electricity Consumption Pattern for Household Appliances using Demand Side Strategies: A Review

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Other conferences
        CHINZ 2015: Proceedings of the 15th New Zealand Conference on Human-Computer Interaction
        September 2015
        87 pages
        ISBN:9781450336703
        DOI:10.1145/2808047

        Copyright © 2015 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 3 September 2015

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article
        • Research

        Acceptance Rates

        CHINZ 2015 Paper Acceptance Rate8of23submissions,35%Overall Acceptance Rate8of23submissions,35%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader