Energy-use information transfer for intelligent homes: Enabling energy conservation with central and local displays

Wood, Georgina; Newborough, M.

doi:10.1016/j.enbuild.2006.06.009

Cited by 178 publications

(97 citation statements)

References 16 publications

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“…Alahmad et al, 2012;Buchanan et al, 2015Buchanan et al, , 2014Faruqui et al, 2010;Hargreaves et al, 2013Hargreaves et al, , 2010McKerracher and Torriti, 2013;Wood and Newborough, 2007). But in exploring quantitative energy feedback, there has been relatively little research on non-automated energy feedback, which can require personal input of data.…”

Section: Proposed Knowledge Gapsmentioning

confidence: 99%

Energy monitoring as a practice: Investigating use of the iMeasure online energy feedback tool

2017

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Energy feedback is a prominent feature of policy initiatives aimed at reducing domestic energy consumption. However little research has been conducted on the phenomenon of energy monitoring itself, with most studies looking at whether, and how, feedback impacts on energy conservation. This paper aims to address that gap from a practice theory perspective. In particular we: set out the difference between energy feedback and energy monitoring; define the practice of energy monitoring; and investigate the rationale and qualitative experiences of those performing energy monitoring. An online energy feedback tool ('iMeasure') was the basis of the case study. A netnographic analysis of online discussion about the tool informed complementary in-depth interviews with ten current/former iMeasure users. We found energy monitoring to be a distinct practice that focuses on measuring and identifying energy use trends and requires specific knowhow to perform. However, its connections to other household practices were weak and, for those who did perform monitoring, there was no guarantee that this practice would reorganise other practices to induce household energy saving. In fact, monitoring often followed decisions to make energy-related changes, rather than prompting them. We conclude that policy expectations need to be reframed in terms of how energy monitoring tools are used.

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Section: Proposed Knowledge Gapsmentioning

confidence: 99%

Energy monitoring as a practice: Investigating use of the iMeasure online energy feedback tool

2017

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“…Consumers often have low levels of understanding of their energy bills, around one-third of which are likely to be based on estimates rather than readings (Logica, 2007;energywatch, 2007). They also own increasing numbers of appliances, many without any obvious power rating or energy label, which are 'managed' in a range of different ways (for an overview of appliance types and the user interactions that they afford, see Wood and Newborough, 2007). These have inexorably pushed up household electricity consumption over the past few decades.…”

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confidence: 99%

Smart metering: what potential for householder engagement?

Darby

2010

Building Research & Information

370

227

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The argument for the implementation of 'smart' metering, which is an elastic term, varies according to circumstance and place. In some countries, the business case for establishing an advanced metering infrastructure (AMI) relies in part on improving consumption feedback to customers and assisting in the transition to lower-impact energy systems. There is an expectation that AMI will lead to reductions in both the demand and the cost to serve customers through improved communication, but little evidence exists to show overall demand reduction. To what extent might smart meters improve the prospects for customer engagement? To assess this question, end-user perceptions and practices must be considered along with metering hardware and economics. Using the theory of affordances, qualitative research is examined to understand how householders have used consumption feedback, with and without smart meters. Although AMI offers possibilities for household energy management and customer-utility relations, there is little evidence to suggest it will automatically achieve a significant reduction in energy demand. For that, there has to be a determined focus on overall demand reduction (rather than on peak electricity demand reduction), on designing customer interfaces for ease of understanding, and on guiding occupants towards appropriate action. Appropriate forms of interface, feedback, narrative, and support will be needed to reach diverse populations.Keywords: affordances, behaviour, energy demand, energy management, feedback, households, housing, human agency, smart metering Les arguments en faveur de la mise en oeuvre d'un comptage «intelligent», qui est un terme souple, varient en fonction des circonstances et du pays concerné. Dans certains pays, le business case pour mettre en place une infrastructure de comptage avancée (AMI) s'appuie en partie sur une amélioration du retour d'information fourni aux clients sur leur consommation, et sur l'aide apportée pour passer à des systèmes énergétiques présentant un impact moindre. Il est attendu d'une AMI qu'elle conduise à la fois à une réduction de la demande et à une réduction du coû t de desserte des clients grâ ce à des améliorations en terme de communication, mais il existe peu de données probantes à l'appui d'une réduction globale de la demande. Dans quelle mesure des compteurs intelligents pourraient-ils améliorer les chances de voir le client s'impliquer? Afin d'évaluer cette question, il est nécessaire d'examiner les perceptions et les pratiques des utilisateurs finaux en même temps que le matériel de comptage et les aspects économiques. En utilisant la théorie des affordances, l'étude qualitative est examinée de façon à comprendre comment les occupants ont utilisé le retour d'information sur leur consommation, avec et sans compteurs intelligents. Bien qu'une AMI offre des possibilités en matière de gestion énergétique des ménages et de relations client-fournisseur d'énergie, il y a peu de données probantes permettant de suggérer que cela assurera automatiquement ...

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“…Similarly, CO 2 e emissions and other environmental units to which home inhabitants are not accustomed were found to be ineffective influencers. Whilst kWh is more accepted, it is not entirely understood (Wood & Newborough, 2007). Petkov et al (2011) found that in all cases interviewees considered temporal selfcomparison (a history feature) essential Website/mobile application energy trackers Similar to the energy display monitor but must login to a website to view the information -a higher level of analytical potential (Eisenbach Consulting, 2016;Froehlich, 2009) Peer educators Point of contact to assist with specific individual questions on how to reduce (Carrico & Riemer, 2011) Personalized energy report/advice Personalized advice regarding the energy and financial consequences of energy consumption behaviour (Midden, Meter, Weenig, & Zieverink, 1983;Rowe, 2014) Thermal imaging Thermal imaging has been used to evaluate the performance of the building fabric during construction to avoid performance issues and manage construction quality (Taylor, Counsell, & Gill, 2013) and to promote energy-conservation behaviours (Goodhew, Pahl, Auburn, & Goodhew, 2015) Comparative Social sharing online (detailed or generalized)…”

Section: Levelmentioning

confidence: 99%

Exploring innovative community and household energy feedback approaches

Gupta

Barnfield

Gregg

2017

Building Research & Information

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Most research to date on the provision of energy feedback to households has focused on assessing the efficacy of numeric-based feedback. This paper describes the application and evaluation of more visual energy feedback techniques (carbon mapping, thermal imaging) at different scales, alongside traditional methods (web-based energy and environmental visualization platform, home energy reports) delivered through community workshops, home visits and the internet, across six low-carbon communities in the UK. Overall, most of the feedback approaches were able to engage and raise awareness amongst the householders. Whilst carbon mapping was felt to be aimed more at community groups and local councils by providing evidence of past and future community action, displaying carbon maps at community workshops helped to show that others were also engaged in energy action. Thermal imaging was successful in engaging individual local residents through both community workshops and home visits, especially when included in the home energy reports. This stimulated discussions on future energy savings through building fabric upgrade. However, the data-driven web-based platform had limited uptake due to online log-in requirement and information overload. Such insights are useful for those involved in scaling up the deployment of energy feedback to encourage energy demand reduction.

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Energy-use information transfer for intelligent homes: Enabling energy conservation with central and local displays

Cited by 178 publications

References 16 publications

Energy monitoring as a practice: Investigating use of the iMeasure online energy feedback tool

Energy monitoring as a practice: Investigating use of the iMeasure online energy feedback tool

Smart metering: what potential for householder engagement?

Exploring innovative community and household energy feedback approaches

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