Home energy monitors: impact over the medium-term

Dam, S.S. Van; Bakker, Conny; Hal, J.D.M. van

doi:10.1080/09613218.2010.494832

Cited by 173 publications

(112 citation statements)

References 17 publications

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“…On the one hand, feedback effects could be short-lived because household behaviour returns to long-term habits after a certain time. For example, van Dam et al (2010) find that the initial savings of 7.8% in electricity consumption after four months could not be sustained in the medium to long term. On the other hand, if information feedback results in a permanent change in habits, these effects could have a longterm impact on energy use.…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2013

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in Marc BrunnerEffects of feedback on residential electricity demand -Findings from a field trial in Austria AbstractThis paper analyzes the effects of providing feedback on electricity consumption in a field trial involving more than 1,500 households in Linz, Austria. About half of these households received feedback together with information about electricitysaving measures (pilot group), while the remaining households served as a control group. Participation in the pilot group was random, but households were able to choose between two types of feedback: access to a web portal or written feedback by post. Results from cross section OLS regression suggest that feedback provided to the pilot group corresponds with electricity savings of around 4.5 % for the average household. Our results from quantile regressions imply that for households in the 30th to the 70th percentile, feedback on electricity consumption is statistically significant and effects are highest in absolute terms and as a share of electricity consumption. For percentiles below or above this range, feedback appears to have no effect. Finally, controlling for a potential endogeneity bias induced by non random participation in the feedback type groups, we find no difference in the effects of feedback provided via the web portal and by post. Highlights• We estimate the effects of feedback on household electricity use in a field trial in Linz, Austria.• Providing feedback on electricity use corresponds with average savings of around 4.5 %.• Effects of feedback are most pronounced in the 30th to the 70th percentile.• Feedback provided via a web portal and by post appears equally effective.

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Section: Discussionmentioning

confidence: 99%

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

et al. 2013

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“…: Grønhøj and Thøgersen, 2011;Hargreaves et al, 2010;2013;Oltra et al, 2014;Strengers, 2011;2013;Rettie et al, 2013;van Dam et al, 2010; also see Buchanan et al, 2014). However, these studies also note a number of constraints on the impacts of IHDs.…”

Section: Research Into the Impact Of Energy Consumption Feedbackmentioning

confidence: 99%

Householder engagement with energy consumption feedback: the role of community action and communications

2016

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2Householder engagement with energy consumption feedback: the role of community action and communications AbstractThe provision of energy consumption feedback on in-home displays (IHDs) has a prominent role in government strategies for domestic energy demand reduction. Research suggests that IHDs can support energy consumption reduction, but also that engagement with IHDs can be limited to men and is often short-term. In this paper, we draw on research carried out in Smart Communities, a two-year project in which electricity and gas consumption feedback played a key role. This study was distinctive because it was accompanied by a weekly email communications programme and was provided within the context of community action.Project findings suggest that, although by no means panaceas, approaches such as these can support long-term engagement with energy consumption feedback, including by women, and can support behaviour change.

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“…When studying the effectiveness of in-home-displays, a typical type of ecofeedback system, Van Dam et al [14] argued that "a onesize-fits-all approach for in-home-displays cannot be justified", which highlights that the performance of ecofeedback systems is dependent on the characteristics of the users. In fact, it has been reported that not all consumers have the potential of saving energy consumption by using eco-feedback system [15].…”

Section: Factors Influencing the Effectiveness Of Eco-feedback Systemsmentioning

confidence: 99%

The Impact of Eco-Feedback on Energy Consumption Behavior: A Cross-Cultural Study

Lin¹,

Li²,

Ma³

et al. 2016

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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-To reduce energy consumption in buildings, researchers have in the recent decade explored the potential of changing occupants' energy consumption behaviors using eco-feedback technologies. Energy consumption behavior is a type of consumer behavior, which has been proven cultural-specific in prior research. This paper aims to examine the impact of cultural differences on the effectiveness of ecofeedback technologies in reshaping building occupants' energy consumption behaviors. Energy consumption monitoring instruments were installed in four student dormitories, three resided by Chinese students and one by international students. The daily energy consumption of every unit in the dormitories was monitored. A web-based eco-feedback system was developed, which was responsible for sending weekly email reminders to students participating in the study and, upon their logins, providing them with their detailed energy consumption data as well as those of their peers. Changes in the students' energy consumption behaviors were analyzed, and correlated with their cultural background, which was assessed using a survey instrument designed based on Hofstede's dimensions of culture. Results proved that cultural background assessed in certain dimensions were significantly correlated with the effectiveness of eco-feedback technologies. The results suggested that eco-feedback technologies should be tailored to specific cultural context to maximize their effectiveness in building energy conservation.

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Home energy monitors: impact over the medium-term

Cited by 173 publications

References 17 publications

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

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

Householder engagement with energy consumption feedback: the role of community action and communications

The Impact of Eco-Feedback on Energy Consumption Behavior: A Cross-Cultural Study

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