Do homes that are more energy efficient consume less energy?: A structural equation model of the English residential sector

Kelly, S

Do homes that are more energy efficient consume less energy?: A structural equation model of the English residential sector

Kelly, S

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Publication Type:: Journal Article
Citation:: Energy, 2011, 36 (9), pp. 5610 - 5620
Issue Date:: 2011-01-01

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Field	Value	Language
dc.contributor.author	Kelly, S https://orcid.org/0000-0002-8454-6144	en_US
dc.date.issued	2011-01-01	en_US
dc.identifier.citation	Energy, 2011, 36 (9), pp. 5610 - 5620	en_US
dc.identifier.issn	0360-5442	en_US
dc.identifier.uri	http://hdl.handle.net/10453/115447
dc.description.abstract	Energy consumption from the residential sector is a complex socio-technical problem that can be explained using a combination of physical, demographic and behavioural characteristics of a dwelling and its occupants. A structural equation model (SEM) is introduced to calculate the magnitude and significance of explanatory variables on residential energy consumption. The benefit of this approach is that it explains the complex relationships that exist between manifest variables and their overall effect though direct, indirect and total effects. Using the English House Condition Survey (EHCS) consisting of 2531 unique cases, the main drivers behind residential energy consumption are found to be the number of household occupants, floor area, household income, dwelling efficiency (SAP), household heating patterns and living room temperature. In the multivariate case, SAP explains very little of the variance of residential energy consumption. However, this procedure fails to account for simultaneity bias between energy consumption and SAP. Using SEM its shown that dwelling energy efficiency (SAP), has reciprocal causality with dwelling energy consumption and the magnitude of these two effects are calculable. When non-recursivity between SAP and energy consumption is allowed for, SAP is shown to have a negative effect on energy consumption but conversely, homes with a propensity to consume more energy also have higher SAP rates. © 2011 Elsevier Ltd.	en_US
dc.relation.ispartof	Energy	en_US
dc.relation.isbasedon	10.1016/j.energy.2011.07.009	en_US
dc.subject.classification	Energy	en_US
dc.title	Do homes that are more energy efficient consume less energy?: A structural equation model of the English residential sector	en_US
dc.type	Journal Article
utslib.citation.volume	9	en_US
utslib.citation.volume	36	en_US
utslib.for	0913 Mechanical Engineering	en_US
utslib.for	090506 Structural Engineering	en_US
utslib.for	0915 Interdisciplinary Engineering	en_US
utslib.for	0914 Resources Engineering and Extractive Metallurgy	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Institute For Sustainable Futures
pubs.organisational-group	/University of Technology Sydney/Strength - ISF - Institute for Sustainable Futures
utslib.copyright.status	closed_access
pubs.issue	9	en_US
pubs.publication-status	Published	en_US
pubs.volume	36	en_US

Abstract:

Energy consumption from the residential sector is a complex socio-technical problem that can be explained using a combination of physical, demographic and behavioural characteristics of a dwelling and its occupants. A structural equation model (SEM) is introduced to calculate the magnitude and significance of explanatory variables on residential energy consumption. The benefit of this approach is that it explains the complex relationships that exist between manifest variables and their overall effect though direct, indirect and total effects. Using the English House Condition Survey (EHCS) consisting of 2531 unique cases, the main drivers behind residential energy consumption are found to be the number of household occupants, floor area, household income, dwelling efficiency (SAP), household heating patterns and living room temperature. In the multivariate case, SAP explains very little of the variance of residential energy consumption. However, this procedure fails to account for simultaneity bias between energy consumption and SAP. Using SEM its shown that dwelling energy efficiency (SAP), has reciprocal causality with dwelling energy consumption and the magnitude of these two effects are calculable. When non-recursivity between SAP and energy consumption is allowed for, SAP is shown to have a negative effect on energy consumption but conversely, homes with a propensity to consume more energy also have higher SAP rates. © 2011 Elsevier Ltd.

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http://hdl.handle.net/10453/115447