A cultural model of household energy consumption

Lutzenhiser, Loren

doi:10.1016/0360-5442(92)90032-u

Cited by 237 publications

(122 citation statements)

References 20 publications

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“…They argue that though promoting changes in individual behaviour is important, social level analysis provides a broader framework for understanding residential energy use. As a result models such as cultural model of household energy consumption [35] and Valuebelief-norm theory applied to residential energy use [32] have been developed. The importance of looking at residential demand response from social science perspective has recently been re-emphasized by Yolande Strengers [36].…”

Section: Socio-psychological Model Of Behaviourmentioning

confidence: 99%

Residential peak electricity demand response—Highlights of some behavioural issues

Gyamfi

Krumdieck

Urmee

2013

Renewable and Sustainable Energy Reviews

218

111

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Electricity demand response refers to consumer actions that change the utility load profile in a way that reduces costs or improves grid security. The focus of demand response has mainly been on the commercial and big industrial sectors because of the large demand reduction that they can offer to the utility grid operators. Utilities are showing increasing interest in residential demand response (RDR). RDR can be treated as an energy resource which can be assessed and commercially developed, however, there are still some issues that remain to be addressed for RDR to be successful. These include price unresponsiveness of some residential consumers, equity issues and high cost of the metering infrastructure. The aim of this paper is to investigate and present some of the challenges in achieving effective voluntary demand reduction based on a review of residential demand response literature as well as the general residential energy use behaviour literature. The authors propose the use of a hybrid engineering approach using social psychology and economic 2 behaviour models to overcome these challenges and realize the benefits of supply security and cost management.

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Section: Socio-psychological Model Of Behaviourmentioning

confidence: 99%

Residential peak electricity demand response—Highlights of some behavioural issues

Gyamfi

Krumdieck

Urmee

2013

Renewable and Sustainable Energy Reviews

218

111

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“…Energy consumption behaviors of households vary systematically among socioeconomic groups and across geographic locations (Lutzenhiser, 1992;Brandon & Lewis, 1999). Household size and composition are important determinants of energy consumption for residential buildings (O'Neill & Chen, 2002;Kaza, 2010;Brounen, Kok, & Quigley, 2012).…”

Section: The Effects Of Household Characteristics On Energy Consumptionmentioning

confidence: 99%

“…Analysis of energy consumption in cities, in general, and in residential buildings in particular, has seen little policy or financial support. Additionally, suitable data sources are not easily accessible for research (Ewing & Rong, 2008;Hirst, 1980;Lutzenhiser, 1992). As a result, research in this area is dispersed across, and separated by, a variety of disciplines, distinct theoretical orientations, and research methods (Lutzenhiser, 1992;Perez-Lombard, Ortiz, & Pout, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…Determinants of residential energy use can be categorized into contextual and behavioral domains (Wilson & Dowlatabadi, 2007). Behavioral domains characterize energy consumption under the rubric of life-styles and consumption behaviors (Lutzenhiser, 1992), most of which correlate with sociodemographic and economic characteristics of households. On the contextual domain, along with local climate, energy market, and home appliances, characteristics of the housing units embrace the main constituents of the contextual domain.…”

Section: Introductionmentioning

confidence: 99%

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Different Regions, Differences in Energy Consumption: Do Regions Account for the Variability in Household Energy Consumption?

Estiri,

Gabriel,

Howard

et al. 2013

SSRN Journal

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This research aims to discover between-region variability in household energy consumption behaviors, using multilevel modeling with data from Residential Energy Consumption Survey in 2009. Where past research focuses on the physical characteristics of housing, our effort in this research centers on between-region variability and micro-level determinants of residential energy usage. We found significant between-region variability with household energy usage across the U.S. Results suggest that the association between heating degree days and energy consumption varies depending on the type of climate that a household lives in. Further, household energy usage is significantly associated with the race of the householder and income. In the discussion section, we connect this outcome to racial disparities between whites and non-whites in location choice, access to housing, and residential stratification. Moreover, the structure of our research reveals the necessity of multilevel modeling in gaining an accurate picture of residential energy consumption for more efficient energy conservation policy.

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“…Attitudes toward the use of home appliances, and thus energy consumption, are related to lifestyles. Differences across lifestyle can be attributed to households' lifecycle [43,23]. The lifecycle approach in demography considers age as an underlying determinant of household characteristics, needs, preferences, and attitudes.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Age-Energy Consumption Profile in Residential Buildings

Estiri¹,

Zagheni²

2018

Preprint

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Age is an important proxy for many life course trajectories. The relationship between energy consumption and age is complex and understudied. We evaluated the existence and determinants of an age-energy consumption profile in the U.S. residential sector, using microdata from four waves of the Residential Energy Consumption Survey (RECS) in 1987, 1990, 2005, and 2009. We constructed pseudo cohorts from Bayesian generalized linear model estimates to draw micro-profiles for energy consumption across the life course. Overall, we found that residential energy consumption increases over the life course. Much of the increase in energy consumption is due to housing size. Variations in the the age-energy consumption micro-profiles can be described by concave and convex functions. In contrast to previous research that suggested that population aging would reduce energy demand, our results indicate that changing population age structure could amplify residential energy demand.

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A cultural model of household energy consumption

Cited by 237 publications

References 20 publications

Residential peak electricity demand response—Highlights of some behavioural issues

Residential peak electricity demand response—Highlights of some behavioural issues

Different Regions, Differences in Energy Consumption: Do Regions Account for the Variability in Household Energy Consumption?

Evaluating the Age-Energy Consumption Profile in Residential Buildings

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