Determinants of high electrical energy demand in UK homes: Appliance ownership and use

被引:69
作者
Jones, Rory V. [1 ]
Lomas, Kevin J. [2 ]
机构
[1] Univ Plymouth, Bldg Performance Anal Grp, Sch Architecture Design & Environm, Plymouth PL4 8AA, Devon, England
[2] Univ Loughborough, Sch Civil & Bldg, Bldg Energy Res Grp, Loughborough LE11 3TU, Leics, England
基金
英国工程与自然科学研究理事会;
关键词
Electricity consumption; Appliance ownership; Appliance use; Domestic buildings; Odds ratio; HOUSEHOLD ELECTRICITY; CONSUMPTION; TRENDS;
D O I
10.1016/j.enbuild.2016.02.020
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper provides an analysis of the appliance ownership and use factors contributing to high electrical energy demand in UK homes. The data were collected during a large-scale, city-wide survey, carried out in Leicester, UK, in 2009-2010. Annual electricity consumption and appliance ownership and use were established for 183 dwellings and an odds ratio analysis used to identify the factors that led to high electricity consumption. Many of the appliance ownership and use factors have not previously been studied for the UK domestic sector. The results of this study should be of key interest to government policy makers and energy supply companies interested in the underlying drivers of the highly positively skewed distribution of UK domestic electricity use. The study identifies those appliances that could be targeted for technical improvements or subjected to campaigns to encourage more energy efficient use in order to reduce electricity consumption among high demand households. This paper builds on earlier work by the current authors which identified the households (socio-demographic and dwelling characteristics) most likely to be high electricity consumers. The current work provides the basis for advice and guidance to those households that would enable them to, over time, reduce their electricity use. (C) 2016 The Authors. Published by Elsevier B.V.
引用
收藏
页码:71 / 82
页数:12
相关论文
共 46 条
[1]  
Agresti A, 2007, INTRO CATEGORICAL DA
[2]  
[Anonymous], DISCOVERING STAT USI
[3]  
[Anonymous], 2012, Intertek Report R66141
[4]   Improving the prediction of UK domestic energy-demand using annual consumption-data [J].
Baker, Keith J. ;
Rylatt, R. Mark .
APPLIED ENERGY, 2008, 85 (06) :475-482
[5]  
Bartiaux Francoise e., 2005, ECEEE SUMMER STUDY, V6, P1313
[6]   Determinants of electricity consumption in Dutch dwellings [J].
Bedir, Merve ;
Hasselaar, Evert ;
Itard, Laure .
ENERGY AND BUILDINGS, 2013, 58 :194-207
[7]  
Boardman B., 2005, 40 HOUSE
[8]  
BRE (Building Research Establishment), 2008, AN EN US CARB EM HIG
[9]   One size does not fit all: Averaged data on household electricity is inadequate for residential energy policy and decisions [J].
Carlson, Derrick R. ;
Matthews, H. Scott ;
Berges, Mario .
ENERGY AND BUILDINGS, 2013, 64 :132-144
[10]   Price reform and household demand for electricity [J].
Carter, Adrian ;
Craigwell, Roland ;
Moore, Winston .
JOURNAL OF POLICY MODELING, 2012, 34 (02) :242-252