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ELECTRICITY SAVING (3) answer(s).
 
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ID:   101486


Electricity saving in households-A social cognitive approach / Thøgersen, John; Grønhøj, Alice   Journal Article
Thøgersen, John Journal Article
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Publication 2010.
Summary/Abstract We propose a conceptual framework for understanding the (lack of) energy saving efforts of private households based on Bandura's (1986) social cognitive theory. Results from applying this framework on a sample of Danish private electricity consumers are presented and it is concluded (a) that households' electricity consumption depends on both structural and motivational factors, (b) that their electricity saving effort depends on the strength of their internalized norms or self-expectations and on self-efficacy related factors, and (c) that there are predictable patterns of interaction among household members that influence their electricity consumption. The results suggest two approaches to promote electricity saving in households: (1) to change the socio-structural environment to be more facilitating for energy saving and empower householders to be more effective in their striving towards this goal through improved feedback about their household's electricity consumption and (2) social norms marketing, communicating social expectations and others' successful electricity saving achievements.
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2
ID:   150637


Identifying electricity-saving potential in rural China: empirical evidence from a household survey / Yu, Yihua; Guo, Jin   Journal Article
Yu, Yihua Journal Article
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Summary/Abstract In recent years, there has been a fast-growing body of literature examining energy-saving potential in relation to electricity. However, empirical studies focusing on non-Western nations are limited. To fill this gap, this study intends to examine the electricity-saving potential of rural households in China using a unique data set from the China Residential Electricity Consumption Survey (CRECS) in collaboration with the China General Social Survey (CGSS), conducted nationwide at the household level in rural China. We use a stochastic frontier model, which allows us to decompose residential electricity consumption into the minimum necessary amount of consumption based on physical characteristics (e.g. house size, house age, number of televisions or refrigerators) and estimate the consumption slack (i.e. the amount of electricity consumption that could be saved), which depends on various factors. We find that rural households in China are generally efficient in electricity saving and the saving potential is affected by (fast) information feedback and social-demographic characteristics, instead of by the (averaged) electricity price, or energy efficiency labelling signals. In addition, we find no evidence of regional heterogeneity on electricity saving potential for rural households. Policy implications are derived.
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3
ID:   132596


Procedure for analysing energy savings in multiple small solar / Giglio, Thalita; Lamberts, Roberto; Barbosa, Miriam; Urbano, Mariana   Journal Article
Lamberts, Roberto Journal Article
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Publication 2014.
Summary/Abstract Due to government subsidies, Brazil has witnessed an increase in the installation and use of small solar water heating systems in low-income housing projects. Although the initiative has reduced the load curve during peak times due to the reduced use of electric showerheads, measurement and verification (M&V) are needed to validate the savings. M&V procedures should take into account the social and economic variability of low-income housing developments. To improve M&V in low-income housing projects, this paper presents a methodology for identifying homogeneous subgroups based on their energy-saving potential. This research strategy involved a cluster analysis designed to improve the understanding of what energy savers and other influencing factors exist. A case study in Londrina Brazil was undertaken with 200 low-income families. Five clusters, created based on savings potential, were defined. The results showed that only two clusters demonstrated good electricity savings, representing 47% of families. However, two clusters, or 37%, did not provide satisfactory savings, and the other 16% did not provide any consumption history due to previous use of illegal city electricity connection practices. Therefore, studies confirm the need for a detailed measurement of the representative subgroups to assess the influence of human behaviour on potential SWHS-induced savings.
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