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Do homes that are more energy efficient consume less energy?: A structural equation model for England's residential sector

机译:能源效率更高的房屋消耗的能源更少吗?:英格兰住宅部门的结构方程模型

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摘要

Energy consumption from the residential sector is a complex sociotechnical 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 through direct, indirect and total effects on energy consumption. 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 nonrecursivity between SAP and energy consumption is allowed for, SAP is shown to have a moderately negative effect on energy consumption but conversely, homes with a propensity to consume more energy have a higher SAP rating and are therefore more efficient.
机译:住宅部门的能源消耗是一个复杂的社会技术问题,可以结合住宅及其居住者的身体,人口和行为特征来解释。引入结构方程模型(SEM)来计算解释性变量对住宅能耗的大小和重要性。这种方法的好处在于,它通过对能源消耗的直接,间接和总体影响来解释清单变量及其整体影响之间存在的复杂关系。使用包括2531个独特案例的英国房屋状况调查(EHCS),发现住宅能耗的主要驱动因素是家庭人数,建筑面积,家庭收入,居住效率(SAP),家庭供暖方式和起居室温度。在多变量情况下,SAP很少解释住宅能耗的方差。但是,此过程无法解决能耗和SAP之间的同时偏差。使用SEM的结果表明,住宅能源效率(SAP)与住宅能源消耗具有互为因果关系,并且这两个影响的幅度是可计算的。如果考虑到SAP与能耗之间的非递归性,则表明SAP对能耗有中等程度的负面影响,但相反,倾向于消耗更多能量的房屋具有较高的SAP额定值,因此效率更高。

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  • 作者

    Kelly Scott;

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  • 年度 2011
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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