Consumers’ Perspective on Full-Scale Adoption of Smart Meters: A Case Study in Västerås, Sweden

Iana Vassileva and Javier Campillo
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Iana Vassileva: School of Sustainable Development of Society and Technology, Mälardalen University, P.O. Box 883, Västerås SE-721 23, Sweden
Javier Campillo: School of Sustainable Development of Society and Technology, Mälardalen University, P.O. Box 883, Västerås SE-721 23, Sweden

Resources, 2016, vol. 5, issue 1, 1-18

Abstract: Large-scale deployment of reliable smart electricity metering networks has been considered as the first step towards a smart, integrated and efficient grid. On the consumer’s side, however, the real impact is still uncertain and limited. This paper evaluates the consumer’s perspective in the city of Västerås, Sweden, where full implementation of smart meters has been reached. New services, such as consumption feedback and the possibility to choose dynamic electricity pricing contracts, have been available from the adoption of this infrastructure. A web-based survey evaluating customers’ perception of these new services was carried out. The survey included consumers’ personal information, preferences about the type of information and the frequency of delivery and the preference for electricity pricing contracts. The results showed that the electricity consumption information offered by distribution system operators (DSOs) today is not detailed enough for customers to react accordingly. Additionally, while variable pricing contracts are becoming more popular, the available pricing schemes do not encourage customers to increase their consumption flexibility. Therefore, more detailed information from the smart meters should be made available, including disaggregated electricity consumption per appliance that would allow consumers to have more control over their energy consumption activities.

Keywords: electricity users; energy efficiency; smart meter benefits; energy consumption feedback; variable price; demand response (search for similar items in EconPapers)
JEL-codes: Q1 Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2016
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