Conference article

Reducing Households’ Energy Use: A Segmentation of Flanders on Adoption Intention of Smart Metering Technology

Jeroen Stragier
IBBT-MICT-Ghent University, Ghent, Belgium

Laurence Hauttekeete
IBBT-MICT-Ghent University, Ghent, Belgium

Lieven De Marez
IBBT-MICT-Ghent University, Ghent, Belgium

Download articlehttp://dx.doi.org/10.3384/ecp11057945

Published in: World Renewable Energy Congress - Sweden; 8-13 May; 2011; Linköping; Sweden

Linköping Electronic Conference Proceedings 57:26, p. 945-951

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Published: 2011-11-03

ISBN: 978-91-7393-070-3

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

Research has shown that feedback on energy use can aid households to reduce it significantly. In this context, smart metering technologies, and more specifically technology components interacting with data gathered and provided by a smart meter, allowing to provide the consumer with personalized feedback, consumption visualization, automated control,… could play an important role. After all, by means of this technology, households can be made more aware of their energy use and encouraged to reduce it. This paper applies a user centered approach towards the estimation of the adoption potential for smart metering technologies in Flanders, Belgium. We conducted a representative quantitative survey with 1314 respondents living in Flanders. A segmentation on ownership of, attitude towards and adoption intention of smart metering devices was performed on the data. Traditional approaches of intention surveying often result in an overestimation of the innovation adoption potential. To overcome this problem, the Product Specific Adoption Potential scale (or PSAP-scale) was used and 6 segments were found. These segments were labeled “Current Owners”, “Innovators”, “Early Adopters”, “Early Majority”, “Later Adopters” and “Out of Potentials. The verification of the adoption potential of smart metering devices for different pricing scenarios revealed a rather high price sensitivity.

Keywords

Consumer behaviour; smart metering; adoption potential; willingness to pay

References

[1] I. Mansouri-Azar; M. Newborough; and D. Probert; "Energy-consumption in UK domestic households: impact of domestic electrical appliances;" Applied Energy; vol. 54; pp. 211-285; 1996. doi: 10.1016/0306-2619(96)00001-3.

[2] C. Fischer; "Feedback on household electricity consumption: a tool for saving energy?;" Energy Efficiency; vol. 1; pp. 79-104; 2008. doi: 10.1007/s12053-008-9009-7.

[3] A. Faruqui; S. Sergici; and A. Sharif; "The impact of informational feedback on energy consumption--A survey of the experimental evidence;" Energy; 2009.

[4] R. M. J. Benders; R. Kok; H. C. Moll; G. Wiersma; and K. J. Noorman; "New approaches for household energy conservation--In search of personal household energy budgets and energy reduction options;" Energy Policy; vol. 34; pp. 3612-3622; 2006. doi: 10.1016/j.enpol.2005.08.005.

[5] L. T. McCalley and C. J. H. Midden; "Energy conservation through product-integrated feedback: The roles of goal-setting and social orientation;" Journal of Economic Psychology; vol. 23; pp. 589-603; 2002. doi: 10.1016/S0167-4870(02)00119-8.

[6] S. Darby; "Making it obvious: designing feedback into energy consumption;" 2001.

[7] W. F. Van Raaij and T. M. M. Verhallen; "A behavioral model of residential energy use;" Journal of Economic Psychology; vol. 3; pp. 39-63; 1983. doi: 10.1016/0167-4870(83)90057-0.

[8] E. M. Rogers; Diffusion of innovations; 4th ed. New York (N.Y.): Free press; 1995.

[9] L. De Marez; "Diffusie van ICT-Innovaties: Accurater Gebruikersinzicht Voor Betere Introductiestrategieën;" Gent: Universiteit Gent; 2006.

[10] L. De Marez and G. Verleye; "ICT-innovations today: making traditional diffusion patterns obsolete; and preliminary insight of increased importance;" Telematics and Informatics; vol. 21; pp. 235-260; 2004. doi: 10.1016/j.tele.2003.11.001.

[11] L. De Marez; P. Vyncke; K. Berte; D. Schuurman; and K. De Moor; "Adopter segments; adoption determinants and mobile marketing;" Journal of Targeting; Measurement and Analysis for Marketing; vol. 16; pp. 78-95; 2007. doi: 10.1057/palgrave.jt.5750057.

[12] T. Evens; D. Schuurman; L. De Marez; and G. Verleye; "Forecasting broadband Internet adoption on trains in Belgium;" Telematics and Informatics; vol. 27; pp. 10-20; 2010. doi: 10.1016/j.tele.2009.02.001.

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