Lifestyle factors in U.S. residential electricity consumption

Sanquist, Thomas F.; Orr, Heather M.; Shui, Bin; Bittner, Alvah C.

doi:10.1016/j.enpol.2011.11.092

Cited by 228 publications

(144 citation statements)

References 34 publications

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“…Furthermore, high-income households have a higher share of indirect energy consumption due to more purchased goods (Cohen et al 2005). In contrast, others find no or only a weak effect on energy consumption (Abrahamse & Steg, 2009;Newton & Meyer, 2012) and electricity consumption (Sanquist et al, 2012;Thøgersen & Grønhøj, 2010;Wiesmann et al 2011), once other factors like household size and structure, dwelling type, floor area or appliance stock and use are controlled for.…”

Section: Contextual Factorsmentioning

confidence: 99%

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Disentangling household and individual actors in explaining private electricity consumption

Seebauer

Wolf

2016

Energy Efficiency

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Previous research often regard household and individual as synonymous actors, although the overall household electricity consumption is the aggregate of diverging actions by individual household members. We disentangle the impact of actor-specific predictors on household and individual electricity consumption, employing regression models to data of 204 Austrian multi-person households. Predictors add more to the explained variance of household and individual electricity consumption if they are located at the same actor level as the dependent variable. While household electricity consumption is best predicted by the household context and value/knowledge factors, individual electricity consumption depends foremost on habit and whether a person stays at home during the day. The study exemplifies that future research and interventions need to decompose actor levels to better understand and target the drivers of private electricity consumption. Methodological challenges in measuring individual and household consumption behaviour are discussed.

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Section: Contextual Factorsmentioning

confidence: 99%

“…Previous studies point out that the direct effect of income on household electricity consumption decreases or becomes insignificant when the number of electric appliances is controlled for (e.g. Sanquist et al, 2012;Thøgersen & Grønhøj, 2010;Wiesmann et al, 2011).…”

Section: Contextual Factorsmentioning

confidence: 99%

Disentangling household and individual actors in explaining private electricity consumption

Seebauer

Wolf

2016

Energy Efficiency

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“…Study of the relationship between energy and lifestyle started during 1970s in the United States. Sanquist, et al have statistically examined the relationship between energy consumption and lifestyle factors and found that lifestyle accounts for 40% variation in energy consumption [4]. The inclusion of human behavior was expected to enhance the establishment of energy policies.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Based on the reviews of background and current problems in Kathmandu Valley, the following objectives have been set: 1) to identify variables that may influence energy consumption behavior, 2) to determine energy consumption patterns, 3) to develop scenarios based on the current situation and available resources, 4) to investigate and analyze how the energy system may evolve over time and to propose the best energy scenario for Kathmandu Valley.…”

Section: Introductionmentioning

confidence: 99%

Urban Energy Scenario: the Case of Kathmandu Valley

Shrestha

Sartohadi

Ridwan

et al. 2017

J. Eng. Technol. Sci.

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Abstract. Rapid urbanization has made Kathmandu Valley one of the fastest growing metropolitan cities in South Asia, resulting in the need of additional facilities and infrastructure. The local energy crisis is one of the issues to be addressed. High dependence on imported fossil fuels and the sluggish development of hydropower for electricity generation despite abundant water resources are the major causes to be blamed for the energy crisis in Nepal. This study investigated possible strategies to be implemented in Kathmandu Valley to deal with the discrepancy between energy demand and supply. Several scenarios have been developed and analyzed, both quantitatively and qualitatively. The Comprehensive Scenario, which borrowed from all other developed scenarios, seems superior to the others. It reduces the energy demand by 32.36%, the GHG emission by 44.12%, and the social cost by 33.79%. This scenario implies that the Kathmandu Valley authority will support the installation of photovoltaic solar panels, the use of electric vehicles and electric cookers, and convert solid waste into energy. However, the EV Scenario (electric vehicles) is the one to be given priority in the implementation for its better performance than the other individual scenarios. Based on the reviews of background and current problems in Kathmandu Valley, the following objectives have been set: 1) to identify variables that may influence energy consumption behavior, 2) to determine energy consumption patterns, 3) to develop scenarios based on the current situation and available resources, 4) to investigate and analyze how the energy system may evolve over time and to propose the best energy scenario for Kathmandu Valley. Keywords Literature ReviewThe issue of energy is always an interesting topic in the sustainable development debate. Study of the relationship between energy and lifestyle started during 1970s in the United States. Sanquist, et al. have statistically examined the relationship between energy consumption and lifestyle factors and found that lifestyle accounts for 40% variation in energy consumption [4]. The inclusion of human behavior was expected to enhance the establishment of energy policies. Age has been studied as a factor that plays an important role in determining energy consumption patterns in households. Toth, et al. have found that young children and teenagers have significantly different energy consumption patterns [5]. The application of scenario analysis in the field of energy planning and management is one of the emerging fields in response to energy crises and security. Scenarios can be built and then compared to assess their energy requirements, social costs and benefits, and environmental impacts [6]. The result of an energy scenario analysis may not give an exact picture of Data Collection and Sampling MethodThis research involved a series of surveys concerning different aspects of energy consumption in urban areas and alternative energy sources. The primary data were obtained through interviews and questionnai...

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“…Cayla et al [3] analyzed the energy consumption situation of families with different incomes and concluded that even high-income families would suffer from great pressure when the proportion of household energy consumption was rather high. However, Sanquist et al [14] proved that there was not a direct link between electricity use and rural income generation in the short term in United States. In addition, many studies investigated the influence of other factors' except income.…”

Section: （%）mentioning

confidence: 99%

Income, Consumption Tendency and Per Capital Electricity Consumption in the Age of China' Urbanization

Wen¹,

Chong-huai²,

Yao³

et al. 2017

Proceedings of the 3rd 2017 International Conference on Sustainable Development (ICSD 2017)

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Abstract. The rapid development of urbanization in China is coupled with the increase in per capital electricity consumption. This study focuses on the impacts of residents' income change and consumption tendency change on per capital electricity consumption in the process of urbanization in China. In this paper, LMDI method is used to analyze each factor's impact on per capital electricity consumption in the process of urbanization in China. The results show that income effect is the major determinant of per capital electricity consumption which is followed by population structure effect and electricity consumption effect; income effect in the urban regions is more than that in the rural regions; electricity consumption tendency effect in the rural regions is more than that in the urban regions.

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Lifestyle factors in U.S. residential electricity consumption

Cited by 228 publications

References 34 publications

Disentangling household and individual actors in explaining private electricity consumption

Disentangling household and individual actors in explaining private electricity consumption

Urban Energy Scenario: the Case of Kathmandu Valley

Income, Consumption Tendency and Per Capital Electricity Consumption in the Age of China' Urbanization

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