Cover
Vol. 7 No. 2 (2011)

Published: December 31, 2011

Pages: 151-156

Original Article

Statistical Predictions of Electric Load Profiles in the UK Domestic Buildings

Abstract

This paper presents a method of generating realistic electricity load profile data for the UK domestic buildings. The domestic space features have been investigated excluding the heating and hot water systems. A questionnaire survey was conducted and the feedback were collected from a number of occupants at different intervals of times on daily bases in order to establish the probabilistic record of the estimated use of electrical appliances. The model concept of this study also considers the results of previous investigations such as that available in public reports and statistics as input data elements to predict the global domestic energy consumption. In addition, the daily load profile from individual dwelling to community can be predicted using this method. The result of the present method was compared to available published data and has shown reasonable agreement.

References

  1. M. Newborough, P. Augood, “Demand -side management opportunities for the UK domestic sector,” IEE proceedings generation transmissi on distribution, 1999, 283-293.
  2. I. Mansouri, M. Newborough, D. Probert, “Energy Consumption in the UK Households: Impact of Domestic Electrical Appliances, ” Applied Energy 54 (3) (1996) 211-285.
  3. I R. Yao, K.A. Steemers, “A method of formulating energy lo ad profiles for domestic buildings in the UK,” Energy and Buildings 37 (2005) 663-671.
  4. N. Kreutzer , I. Knight, “ Social housing electrical energy consumption profiles in the United Kingdom, ” 2nd International Solar Cities Congress, Oxford, April 2006.
  5. J.V. Paatero, P.D. Lund, “A model for generating household electricity load profiles ” , International Journal of Energy Research 30 (5) (2006) 273 – 290.
  6. Yigzaw G.Yohanis, Jayanta D. Mondol, Alan Wright, and Brian Norton, Real-life energy use in the UK: How occupancy and dwelling characteristics affect domestic electricity use, Energy and Buildings 40 (2008) 1053 – 1059.
  7. P. Bennich and A. Persson, “ Proceedings of the Methodology and First Results from End-Use Metering in 400 Swedish Households ,” Energy Efficiency in Domestic Appliances and Lighting (EEDAL) conference London (June 2006).
  8. V.Hamidi, F. Li “Demand Response in the UK’s Domestic Sector,” Electric Power Systems Research, 79(2009) 1722-1726.
  9. Social trends, No. 39-2009 edition, Office of National Statistics[Online].Available:http://www.statistics.gov.uk/downloads/the me_social/Social_Trends39/Social_Trends_39.pdf.
  10. Annex 12: Domestic Cooking Appliances.[Online]. Available: http://www.defra.gov.uk/corporate/consult/energy-usingproducts/annex12.pdf .
  11. Widén J, Lundh M, Vassileva I, Dahlquist E, Ellegård K, Wäckelgård E. Constructing load profiles for household electricity and hot water from timeuse data – modelling approach and validation. Energy Build 2009;41:753 – 68 .