Energy consumption feedback devices' impact evaluation on domestic energy use
Household energy accounts for one of the major contributors to the countries energy balances. It has been shown, that an effective way to achieve energy saving in that sector, is by providing consumers with information and feedback. This measure increases home inhabitants' awareness that leads...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2013
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9081
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9081
- Palabra clave:
- Consumers' preferences
Domestic consumption
Electricity
Electricity consumers
Feedback
Visualization
Digital devices
Display devices
Electricity
Energy utilization
Feedback
Flow visualization
Smart power grids
Telephone systems
Behavioral changes
Common areas
Consumers' preferences
Customized information
Demand response programs
Digital display
Domestic consumption
Domestic energy consumption
Domestic energy use
Electricity consumers
Energy use
Feed back information
Feedback device
Feedback strategies
Feedback tool
Household energy
Impact evaluation
Important features
Information devices
Low incomes
Reduce energy consumption
Smart grid
Text messages
TV channels
Consumer behavior
Energy balance
Energy conservation
Fuel consumption
Household energy
Visualization
Sweden
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Energy consumption feedback devices' impact evaluation on domestic energy use |
| title |
Energy consumption feedback devices' impact evaluation on domestic energy use |
| spellingShingle |
Energy consumption feedback devices' impact evaluation on domestic energy use Consumers' preferences Domestic consumption Electricity Electricity consumers Feedback Visualization Digital devices Display devices Electricity Energy utilization Feedback Flow visualization Smart power grids Telephone systems Behavioral changes Common areas Consumers' preferences Customized information Demand response programs Digital display Domestic consumption Domestic energy consumption Domestic energy use Electricity consumers Energy use Feed back information Feedback device Feedback strategies Feedback tool Household energy Impact evaluation Important features Information devices Low incomes Reduce energy consumption Smart grid Text messages TV channels Consumer behavior Energy balance Energy conservation Fuel consumption Household energy Visualization Sweden |
| title_short |
Energy consumption feedback devices' impact evaluation on domestic energy use |
| title_full |
Energy consumption feedback devices' impact evaluation on domestic energy use |
| title_fullStr |
Energy consumption feedback devices' impact evaluation on domestic energy use |
| title_full_unstemmed |
Energy consumption feedback devices' impact evaluation on domestic energy use |
| title_sort |
Energy consumption feedback devices' impact evaluation on domestic energy use |
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Consumers' preferences Domestic consumption Electricity Electricity consumers Feedback Visualization Digital devices Display devices Electricity Energy utilization Feedback Flow visualization Smart power grids Telephone systems Behavioral changes Common areas Consumers' preferences Customized information Demand response programs Digital display Domestic consumption Domestic energy consumption Domestic energy use Electricity consumers Energy use Feed back information Feedback device Feedback strategies Feedback tool Household energy Impact evaluation Important features Information devices Low incomes Reduce energy consumption Smart grid Text messages TV channels Consumer behavior Energy balance Energy conservation Fuel consumption Household energy Visualization Sweden |
| topic |
Consumers' preferences Domestic consumption Electricity Electricity consumers Feedback Visualization Digital devices Display devices Electricity Energy utilization Feedback Flow visualization Smart power grids Telephone systems Behavioral changes Common areas Consumers' preferences Customized information Demand response programs Digital display Domestic consumption Domestic energy consumption Domestic energy use Electricity consumers Energy use Feed back information Feedback device Feedback strategies Feedback tool Household energy Impact evaluation Important features Information devices Low incomes Reduce energy consumption Smart grid Text messages TV channels Consumer behavior Energy balance Energy conservation Fuel consumption Household energy Visualization Sweden |
| description |
Household energy accounts for one of the major contributors to the countries energy balances. It has been shown, that an effective way to achieve energy saving in that sector, is by providing consumers with information and feedback. This measure increases home inhabitants' awareness that leads to behavioral changes, and could help reduce energy consumption between 15% and 25% in some cases. Inhabitants' energy use awareness is also crucial for the success of demand response programs; one of the most important features of smart-grid adoption for the current and upcoming smart cities.The effects of different feedback strategies and information devices in households located in different cities in Sweden have been evaluated in this paper, since the impact on users' behavior of this feedback information vary depending on the way it is provided.Mobile text messages (SMSs) and digital displays placed in the building's common areas did not cause any noticeable behavioral changes, while the use of a TV channel and personal in-home displays were the most popular devices amongst households with high incomes.This paper concluded that even though feedback helped reduce domestic energy consumption and induce behavioral changes, it only reaches the consumers interested in it. It is important therefore to provide customized information to the consumer and select precise feedback tools for specific household groups. Special attention should be paid to increasing the energy consumption awareness in households with low income levels. © 2013 Elsevier Ltd. |
| publishDate |
2013 |
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2013 |
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2020-03-26T16:32:54Z |
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2020-03-26T16:32:54Z |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Artículo |
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Applied Energy; Vol. 106, pp. 314-320 |
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03062619 |
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https://hdl.handle.net/20.500.12585/9081 |
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10.1016/j.apenergy.2013.01.059 |
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Universidad Tecnológica de Bolívar |
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Repositorio UTB |
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26424866700 6701334488 14053136800 55609096600 |
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Applied Energy; Vol. 106, pp. 314-320 03062619 10.1016/j.apenergy.2013.01.059 Universidad Tecnológica de Bolívar Repositorio UTB 26424866700 6701334488 14053136800 55609096600 |
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https://hdl.handle.net/20.500.12585/9081 |
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eng |
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eng |
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application/pdf |
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Elsevier Ltd |
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Elsevier Ltd |
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2020-03-26T16:32:54Z2020-03-26T16:32:54Z2013Applied Energy; Vol. 106, pp. 314-32003062619https://hdl.handle.net/20.500.12585/908110.1016/j.apenergy.2013.01.059Universidad Tecnológica de BolívarRepositorio UTB2642486670067013344881405313680055609096600Household energy accounts for one of the major contributors to the countries energy balances. It has been shown, that an effective way to achieve energy saving in that sector, is by providing consumers with information and feedback. This measure increases home inhabitants' awareness that leads to behavioral changes, and could help reduce energy consumption between 15% and 25% in some cases. Inhabitants' energy use awareness is also crucial for the success of demand response programs; one of the most important features of smart-grid adoption for the current and upcoming smart cities.The effects of different feedback strategies and information devices in households located in different cities in Sweden have been evaluated in this paper, since the impact on users' behavior of this feedback information vary depending on the way it is provided.Mobile text messages (SMSs) and digital displays placed in the building's common areas did not cause any noticeable behavioral changes, while the use of a TV channel and personal in-home displays were the most popular devices amongst households with high incomes.This paper concluded that even though feedback helped reduce domestic energy consumption and induce behavioral changes, it only reaches the consumers interested in it. It is important therefore to provide customized information to the consumer and select precise feedback tools for specific household groups. Special attention should be paid to increasing the energy consumption awareness in households with low income levels. © 2013 Elsevier Ltd.The authors are thankful to the Swedish Energy Agency for the financial support to the research project “Energy in mind”. We also thank all the partners in the “Energy in mind” project: Sustainable Innovation, Logica, Riksbyggen, Göteborg Energi, Maingate, JM.Recurso electrónicoapplication/pdfengElsevier Ltdhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84874429187&doi=10.1016%2fj.apenergy.2013.01.059&partnerID=40&md5=891fd547803aa769936202136fa33f64Energy consumption feedback devices' impact evaluation on domestic energy useinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Consumers' preferencesDomestic consumptionElectricityElectricity consumersFeedbackVisualizationDigital devicesDisplay devicesElectricityEnergy utilizationFeedbackFlow visualizationSmart power gridsTelephone systemsBehavioral changesCommon areasConsumers' preferencesCustomized informationDemand response programsDigital displayDomestic consumptionDomestic energy consumptionDomestic energy useElectricity consumersEnergy useFeed back informationFeedback deviceFeedback strategiesFeedback toolHousehold energyImpact evaluationImportant featuresInformation devicesLow incomesReduce energy consumptionSmart gridText messagesTV channelsConsumer behaviorEnergy balanceEnergy conservationFuel consumptionHousehold energyVisualizationSwedenVassileva I.Dahlquist E.Wallin F.Campillo Jiménez, Javier EduardoEuropean Commission Statistics Eurostats, pp. [01.06.12].. , http://epp.eurostat.ec.europa.eu/portal/page/portal/eurostat/homeEuropean Commission (2009) Low Energy Buildings in Europe: Current State of Play, , http://ec.europa.eu/energy/efficiency/doc/buildings/info_note.pdf, Definitions and Best Practice(2007), Swedish Energy Agency, Energiläget(2009), US Department of energy, 2008 buildings energy data book, Tech. rep., buildings technologies program energy efficiency and, renewable energyVassileva, I., Dahlquist, E., Wallin, F., Analytical comparison between electricity consumption and behavioral characteristics of Swedish households in rented apartments (2012) Appl Energy, 90, pp. 182-188 http://www.scb.se/Pages/TableAndChart____25896.aspx, Statistics SwedenWood, G., Newborough, M., Dynamic energy-consumption indicators for domestic appliances: environment, behavior and design (2003) Energy Build, 35, pp. 821-841Ouyang, J., Hokao, K., Energy-saving potential by improving occupants' behavior in urban residential sector in Hangzhou City (2009) China Energy Build, 41, pp. 711-720de, A., Fonseca, P., Schlomann, B., Feilberg, N., Characterization of the household electricity consumption in the EU, potential energy savings and specific policy recommendations (2011) Energy Build, 43, pp. 1884-1894Darby, S., The effectiveness of feedback on energy consumption, , http://www.eci.ox.ac.uk/research/energy/downloads/smart-metering-report.pdf, Oxford, United Kingdom. [29.06.12]Blom, I., Itard, L., Arjen, M., Environmental impact of building-related and user-related energy consumption in dwellings (2011) Build Environ, 46, pp. 1657-1669Ellegård, K., Palm, J., Visualizing energy consumption activities as a tool for making everyday life more sustainable (2011) Appl Energy, 88, pp. 1920-1926Martinsson, J., Lundqvist, L.J., Sundström, A., Energy saving in Swedish households. The (relative) importance of environmental attitudes (2011) Energy Policy, 39, pp. 5182-5191Cayla, J.-M., Maizi, N., Marchand, C., The role of income in energy consumption behavior: evidence from French households data (2011) Energy policyVassileva, I., Odlare, M., Wallin, F., Dahlquist, E., The impact of consumers' feedback preferences on domestic electricity consumption (2012) Appl Energy, 93, pp. 575-582Ek, K., Söderholm, P., The devil is in the details: household electricity saving behavior and the role of information (2010) Energy Policy, 38, pp. 1578-1587Sardianou, E., Estimating energy conservation patterns of Greek households (2007) Energy Policy, 35, pp. 3778-3791Palm, J., Energy efficiency in households (2011) Nova Science Publishers, Inc, , Policy, implementation and everyday activities. 1st ed. New York:Ndiaye, D., Gabriel, K., Principal component analysis of the electricity consumption in residential dwellings (2011) Energy Build, 43, pp. 446-453Owens, J., Wilhite, H., Household energy behavior in Nordic countries - an unrealized energy saving potential (1988) Energy, 12, pp. 853-859Abrahamse, W., Steg, L., Vlek, C., Rothengatter, T., A review of intervention studies aimed at household energy conservation (2005) J Environ Psychol, 25, pp. 273-291Poortinga, W., Steg, L., Vlek, C., Wiersma, G., Household preferences for energy-saving measures: a conjoint analysis (2003) J Econ Psychol, 24, pp. 49-64Yohanis, Y.G., Domestic energy use and households' energy behavior (2012) Energy Policy, 41, pp. 654-665Vassileva, I., Wallin, F., Dahlquist, E., Understanding energy consumption behavior for future demand response strategy development (2012) Energy http://www.manodo.se, 2012-11-30Vassileva, I., Wallin, F., Ding, Y., Beigl, M., Dahlquist, E., Household indicators for developing innovative feedback technologies (2011) Proceedings of the innovative smart grid technologies (ISGT Europe), pp. 1-7. , http://dx.doi.org/10.1109/ISGTEurope.2011.6162715, 2nd IEEE PES international conference and exhibition on innovative smart grid technologies - Europe"" 2011. 5-7 December. doi:, doi:10.1109/ISGTEurope.2011.6162715http://purl.org/coar/resource_type/c_6501THUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/9081/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD511-s2.0-S0306261913000688-main.pdf.jpg1-s2.0-S0306261913000688-main.pdf.jpgGenerated Thumbnailimage/jpeg91391https://repositorio.utb.edu.co/bitstream/20.500.12585/9081/3/1-s2.0-S0306261913000688-main.pdf.jpg38494490cda2dddc759f91db148506e6MD53ORIGINAL1-s2.0-S0306261913000688-main.pdf1-s2.0-S0306261913000688-main.pdfapplication/pdf1023620https://repositorio.utb.edu.co/bitstream/20.500.12585/9081/2/1-s2.0-S0306261913000688-main.pdf46e6c7da368e2d6488f6d701d00e323bMD52TEXT1-s2.0-S0306261913000688-main.pdf.txt1-s2.0-S0306261913000688-main.pdf.txtExtracted texttext/plain32139https://repositorio.utb.edu.co/bitstream/20.500.12585/9081/4/1-s2.0-S0306261913000688-main.pdf.txt972ec95d5ba50a1647d2439862f27678MD5420.500.12585/9081oai:repositorio.utb.edu.co:20.500.12585/90812023-05-25 14:58:40.305Repositorio Institucional UTBrepositorioutb@utb.edu.co |