IDEAS home Printed from https://ideas.repec.org/p/zbw/fisisi/s62011.html
   My bibliography  Save this paper

Smart metering in Germany and Austria: Results of providing feedback information in a field trial

Author

Listed:
  • Schleich, Joachim
  • Klobasa, Marian
  • Brunner, Marc
  • Gölz, Sebastian
  • Götz, Konrad

Abstract

In this paper, we present the results from a field study on smart metering in Germany and Austria, focusing on the effects of providing feedback information on average electricity consumption. Econometric analyses are applied using a cross section of observations for more than 2000 households served by nine utilities. More than half of these households received feedback on their electric-ity consumption together with information about electricity saving measures (pi-lot group). The remaining households served as a control group. To evaluate the impact of feedback information, we econometrically estimated household electricity consumption. Explanatory variables include a wide range of socio-economic factors (income, education, age, household size, age composition, etc.) as well as the household appliance stock (large appliances, boiler, com-puters, TV, etc. ...). The results suggest that the feedback provided under the smart metering programme results in electricity savings of around 3.7%.

Suggested Citation

  • Schleich, Joachim & Klobasa, Marian & Brunner, Marc & Gölz, Sebastian & Götz, Konrad, 2011. "Smart metering in Germany and Austria: Results of providing feedback information in a field trial," Working Papers "Sustainability and Innovation" S6/2011, Fraunhofer Institute for Systems and Innovation Research (ISI).
    • Handle: RePEc:zbw:fisisi:s62011
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/48662/1/664239676.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Maria Gleerup & Anders Larsen & Soren Leth-Petersen & Mikael Togeby, 2010. "The Effect of Feedback by Text Message (SMS) and Email on Household Electricity Consumption: Experimental Evidence," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 113-132.
    2. Isamu Matsukawa, 2004. "The Effects of Information on Residential Demand for Electricity," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 1-18.
    3. Gregory N. Price, 2005. "The Causal Effects of Participation in the American Economic Association Summer Minority Program," Southern Economic Journal, John Wiley & Sons, vol. 72(1), pages 78-97, July.
    4. Poortinga, Wouter & Steg, Linda & Vlek, Charles & Wiersma, Gerwin, 2003. "Household preferences for energy-saving measures: A conjoint analysis," Journal of Economic Psychology, Elsevier, vol. 24(1), pages 49-64, February.
    5. Mills, Bradford F. & Schleich, Joachim, 2009. "Profits or preferences? Assessing the adoption of residential solar thermal technologies," Energy Policy, Elsevier, vol. 37(10), pages 4145-4154, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hélène Joachain & Frédéric Klopfert, 2013. "Smart meters as an opportunity to motivate households for energy savings? Designing innovative policy instruments based on the coupling of smart meters and non-financial incentives," Working Papers CEB 13-008, ULB -- Universite Libre de Bruxelles.
    2. Alexandra-Gwyn Paetz & Elisabeth Dütschke & Wolf Fichtner, 2012. "Smart Homes as a Means to Sustainable Energy Consumption: A Study of Consumer Perceptions," Journal of Consumer Policy, Springer, vol. 35(1), pages 23-41, March.
    3. Batalla-Bejerano, Joan & Trujillo-Baute, Elisa & Villa-Arrieta, Manuel, 2020. "Smart meters and consumer behaviour: Insights from the empirical literature," Energy Policy, Elsevier, vol. 144(C).
    4. Römer, Benedikt & Reichhart, Philipp & Kranz, Johann & Picot, Arnold, 2012. "The role of smart metering and decentralized electricity storage for smart grids: The importance of positive externalities," Energy Policy, Elsevier, vol. 50(C), pages 486-495.
    5. Francesca Cellina & Dominik Bucher & José Veiga Simão & Roman Rudel & Martin Raubal, 2019. "Beyond Limitations of Current Behaviour Change Apps for Sustainable Mobility: Insights from a User-Centered Design and Evaluation Process," Sustainability, MDPI, vol. 11(8), pages 1-26, April.
    6. Stute, Judith & Klobasa, Marian, 2024. "How do dynamic electricity tariffs and different grid charge designs interact? - Implications for residential consumers and grid reinforcement requirements," Energy Policy, Elsevier, vol. 189(C).
    7. Di Castelnuovo, Matteo & Fumagalli, Elena, 2013. "An assessment of the Italian smart gas metering program," Energy Policy, Elsevier, vol. 60(C), pages 714-721.
    8. Stronzik, Marcus & Wissner, Matthias, 2014. "Smart Metering Gas," WIK Discussion Papers 386, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH.
    9. Gerpott, Torsten J. & Paukert, Mathias, 2013. "Determinants of willingness to pay for smart meters: An empirical analysis of household customers in Germany," Energy Policy, Elsevier, vol. 61(C), pages 483-495.
    10. Joachain, Hélène & Klopfert, Frédéric, 2014. "Smarter than metering? Coupling smart meters and complementary currencies to reinforce the motivation of households for energy savings," Ecological Economics, Elsevier, vol. 105(C), pages 89-96.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Schleich, Joachim & Gassmann, Xavier & Faure, Corinne & Meissner, Thomas, 2016. "Making the implicit explicit: A look inside the implicit discount rate," Energy Policy, Elsevier, vol. 97(C), pages 321-331.
    2. Schleich, Joachim & Klobasa, Marian & Gölz, Sebastian & Brunner, Marc, 2013. "Effects of feedback on residential electricity demand—Findings from a field trial in Austria," Energy Policy, Elsevier, vol. 61(C), pages 1097-1106.
    3. Grégoire Wallenborn & Catherine Rousseau & Karine Thollier, 2006. "Détermination de profils de ménages pour une utilisation plus rationnelle de l’energie," ULB Institutional Repository 2013/192217, ULB -- Universite Libre de Bruxelles.
    4. Schleich, Joachim & Faure, Corinne & Klobasa, Marian, 2017. "Persistence of the effects of providing feedback alongside smart metering devices on household electricity demand," Energy Policy, Elsevier, vol. 107(C), pages 225-233.
    5. Carsten Lynge Jensen, Lars Garn Hansen, Troels Fjordbak, and Erik Gudbjerg, 2012. "Providing Free Autopoweroff Plugs: Measuring the Effect on Households' Electricity Consumption through a Field Experiment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    6. Havas, Lisa & Ballweg, Julie & Penna, Chris & Race, Digby, 2015. "Power to change: Analysis of household participation in a renewable energy and energy efficiency programme in Central Australia," Energy Policy, Elsevier, vol. 87(C), pages 325-333.
    7. Mizobuchi, Kenichi & Takeuchi, Kenji, 2013. "The influences of financial and non-financial factors on energy-saving behaviour: A field experiment in Japan," Energy Policy, Elsevier, vol. 63(C), pages 775-787.
    8. Paolo Zangheri & Tiago Serrenho & Paolo Bertoldi, 2019. "Energy Savings from Feedback Systems: A Meta-Studies’ Review," Energies, MDPI, vol. 12(19), pages 1-18, October.
    9. Morgane Innocent & Agnès François-Lecompte & Nolwenn Roudaut, 2020. "Comparison of human versus technological support to reduce domestic electricity consumption in France," Post-Print hal-02450849, HAL.
    10. Boudet, Hilary S. & Flora, June A. & Armel, K. Carrie, 2016. "Clustering household energy-saving behaviours by behavioural attribute," Energy Policy, Elsevier, vol. 92(C), pages 444-454.
    11. Bauwens, Thomas, 2019. "Analyzing the determinants of the size of investments by community renewable energy members: Findings and policy implications from Flanders," Energy Policy, Elsevier, vol. 129(C), pages 841-852.
    12. Fischbacher, Urs & Schudy, Simeon & Teyssier, Sabrina, 2021. "Heterogeneous preferences and investments in energy saving measures," Resource and Energy Economics, Elsevier, vol. 63(C).
    13. Gilbert E. Metcalf, 2006. "Energy Conservation in the United States: Understanding its Role in Climate Policy," NBER Working Papers 12272, National Bureau of Economic Research, Inc.
    14. Dalia Streimikiene & Tomas Balezentis, 2020. "Willingness to Pay for Renovation of Multi-Flat Buildings and to Share the Costs of Renovation," Energies, MDPI, vol. 13(11), pages 1-16, May.
    15. Krishnamurti, Tamar & Schwartz, Daniel & Davis, Alexander & Fischhoff, Baruch & de Bruin, Wändi Bruine & Lave, Lester & Wang, Jack, 2012. "Preparing for smart grid technologies: A behavioral decision research approach to understanding consumer expectations about smart meters," Energy Policy, Elsevier, vol. 41(C), pages 790-797.
    16. González-Limón, José Manuel & Pablo-Romero, María del P. & Sánchez-Braza, Antonio, 2013. "Understanding local adoption of tax credits to promote solar-thermal energy: Spanish municipalities' case," Energy, Elsevier, vol. 62(C), pages 277-284.
    17. Oikonomou, Vlasis & Rietbergen, Martijn & Patel, Martin, 2007. "An ex-ante evaluation of a White Certificates scheme in The Netherlands: A case study for the household sector," Energy Policy, Elsevier, vol. 35(2), pages 1147-1163, February.
    18. Gulshan Maqbool & Zulqarnain Haider, 2021. "The Impact of Individual Behavior on Household Energy Saving," Journal of Economic Impact, Science Impact Publishers, vol. 3(1), pages 39-46.
    19. Ju-Hee Kim & Younggew Kim & Seung-Hoon Yoo, 2021. "Using a choice experiment to explore the public willingness to pay for the impacts of improving energy efficiency of an apartment," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(5), pages 1775-1793, October.
    20. Guo Li & Wenling Liu & Zhaohua Wang & Mengqi Liu, 2017. "An empirical examination of energy consumption, behavioral intention, and situational factors: evidence from Beijing," Annals of Operations Research, Springer, vol. 255(1), pages 507-524, August.

    More about this item

    Keywords

    Smart metering; feedback; household electricity consumption;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:fisisi:s62011. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/isfhgde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.