Effects of feedback on residential electricity demand—Findings from a field trial in Austria

Schleich, Joachim; Klobasa, Marian; Gölz, Sebastian; Brunner, Marc

doi:10.1016/j.enpol.2013.05.012

Cited by 95 publications

(53 citation statements)

References 32 publications

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“…In addition, due to their higher level of affluence, they were not compelled to focus on savings. Our results confirm the findings of Schleich et al [21] that the effects of displays differ across household groups and the degree of affluence. We nuance these results by also showing the importance of previous experience with monitoring of electricity for the effects of feedback.…”

Section: Discussionsupporting

confidence: 82%

“…Murtagh, Gatersleben and Uzzell [20] find a high degree of variation in terms of the use of energy and displays and discuss the role of people's previous experience with energy savings. Schleich et al [21] analyzed the effects of feedback on electricity consumption in Austria, and found that the effects are dependent on the total electricity consumption of the households. Middle consumption households seem to be more responsive to feedback than households with either low or high levels of consumption.…”

Section: The Background Literaturementioning

confidence: 99%

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The Effects of In-Home Displays—Revisiting the Context

2015

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Abstract:In this paper, we investigate the extent to which the use of in-home displays affects daily practices and electricity consumption. Through two pilot projects, in-home displays were installed in 33 Norwegian homes, and we provide a qualitative analysis of the effects. The results point to the potential differences in the ways households interact with the in-home displays. The effects differed among various groups according to people's previous experiences with monitoring and their level of affluence. In the sample, affluent respondents living in detached houses tended to be accustomed to monitoring consumption before the display was introduced. These families used the display for controlling that "nothing was wrong", but they did not use the information provided by the display to initiate new energy saving measures. In contrast, among less affluent flat owners the notion of "control" was specifically linked to the family's management of finances, and in this sense the displays empowered them. In addition, the results indicate that the in-home display for this group resulted in electricity savings. The study adds to earlier research on the effects of in-home displays by showing the importance of previous experience with monitoring electricity for the effects of feedback and by highlighting not only energy savings but also social effects of displays.

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Section: Discussionsupporting

confidence: 82%

Section: The Background Literaturementioning

confidence: 99%

The Effects of In-Home Displays—Revisiting the Context

2015

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“…a possible explanation may be that in this study customers with a relatively high consumption level were selected well above an average consumption for the population that is close to 200 kWh per month. at the same time it could be that income level for high level consumers in latvia is considerably lower than for other eU countries that might explain why in this study there was not observed reduction of feedback effect at higher consumption what was reported by Schleich et al [9] in the trail carried out in austria. also unexpected results were demonstrated in the consumption range 250-399 kWh per month, where almost no feedback effect was identified.…”

Section: Resultscontrasting

confidence: 47%

“…However, it showed that for households in the 30th to the 70th percentile of electricity consumption there was a statistically significant feedback effect on electricity consumption but for percentiles below or above this range feedback appeared to have no effect. The trial reports savings of around 4.5% for the average household [9].…”

Section: Factors Influencing Feedback Reactionmentioning

confidence: 99%

Analysis of factors influencing energy efficiency in a Smart Metering Pilot

Bariss¹,

Laicāne²,

Blumberga³

2014

Energetika

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This paper analyzes the results of providing smart meters and appropriate feedback on electricity consumption in a pilot study involving around 1 000 households in latvia. The findings from our study have shown that smart meter roll-out and provision of appropriate feedback information can provide significant energy savings for household customers. in comparison with the control group the average consumption of the target group fell by 19% year by year. additionally, there was identified in the consumption group 0-399 kWh per month that feedback enabled by smart meters motivated to consume less electricity those customers who recognize options how to change their energy consumption behavior. it was also identified that customer willingness to receive additional information does not necessarily correspond with later actions to reduce consumption. This could be related to actual or desired behavior that together with feedback induced motivation results into energy saving actions.

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“…However, very few of those concern the Netherlands or look at appliance electricity consumption. Policies aiming to reduce it by providing smart meter feedback to consumers are key for meeting the EU intended target of 20% reduction in primary energy use by 2020 relative to 2005 baseline levels [8]. An explicit target of at least 80% smart meter adoption by 2020 has been set in the Netherlands in line with EU directives [9].…”

Section: Introductionmentioning

confidence: 99%

Household electricity consumption and CO 2 emissions in the Netherlands: A model-based analysis

Papachristos

2015

Energy and Buildings

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Electric appliances are an indispensable part of a household, and through their sheer number contribute substantially to its electricity consumption. This paper explores potential reductions in residential appliance electricity consumption in the Netherlands with smart meters, combining two perspectives: a sociotechnical approach and a bottom up engineering approach. The first is used to shed light on particular factors that affect household electricity consumption, while with the second policy scenarios are explored regarding efficiency, smart meter diffusion and consumer behaviour. Simulation results indicate the extent of potential electricity consumption reductions.Keywords: households, electricity consumption, system dynamics IntroductionHousehold energy consumption is important, whether it comes from heating, lighting, leisure activities, or cooking. In the Netherlands, the housing sector constitutes approximately 41% of the total national final energy consumption (Guerra Santin et al., 2009). Developing and implementing policies in order to reduce it in line with European guidelines for 2020, is a significant challenge (Klunder, 2005; Beerepoot, 2007). Previous work has shown that it is not easy to overcome the inertia of the housing stock and improve its energy efficiency through renovation, demolition of old houses and raising energy standards of new constructions (Yucel, 2013).The present paper presents work done as part of a project funded by the Netherlands Organisation for Scientific Research (NWO) that looks at the Dutch energy transition with a focus on the built environment. Numerous studies have looked at household heating and cooling energy consumption (for a review see Swan and Ugursal, 2009; Kavgic et al., 2010; Lee and Yao, 2013), but very few concern the Netherlands, or look at appliance electricity consumption which is a However, household electricity consumption is not just determined by appliance specifications.Consumption in identical homes, even in low-energy dwellings, can easily differ by a factor of two or more, depending on occupant behaviour (Darby, 2006). Hence, technical and physical improvements in household efficiency are not enough to warrant reduced electricity consumption. This is a sociotechnical issue (Grin et al., 2010), in the sense that innovation and technology policies, as well as electricity supply and consumer behaviour are all intricately connected. Therefore, policies aiming to reduce electricity consumption must have a demand side component aiming at reducing electricity demand, as well as a supply-technical component aiming at improving the energy efficiency of appliances (Harmsen and Graus, 2013; Antal and van den Bergh, 2014). Consequently, the analysis of electricity consumption in this paper is informed by drawing insights from a sociotechnical perspective.To the extent that changing consumer behaviour and energy consumption practices lead to real and persistent energy savings, they will contribute towards achieving emission policy goals as well...

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Effects of feedback on residential electricity demand—Findings from a field trial in Austria

Cited by 95 publications

References 32 publications

The Effects of In-Home Displays—Revisiting the Context

The Effects of In-Home Displays—Revisiting the Context

Analysis of factors influencing energy efficiency in a Smart Metering Pilot

Household electricity consumption and CO 2 emissions in the Netherlands: A model-based analysis

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