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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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. Gregory N. Price, 2005. "The Causal Effects of Participation in the American Economic Association Summer Minority Program," Southern Economic Journal, Southern Economic Association, vol. 72(1), pages 78-97, July.
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Di Castelnuovo, Matteo & Fumagalli, Elena, 2013. "An assessment of the Italian smart gas metering program," Energy Policy, Elsevier, vol. 60(C), pages 714-721.
    5. 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.

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    Keywords

    Smart metering; feedback; household electricity consumption;

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