Change search
ReferencesLink to record
Permanent link

Direct link
En segmentering av elanvändare: Drivkrafter för efterfrågeflexibilitet
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Industrial Engineering & Management.
2016 (Swedish)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The electric power grid is experiencing peak loads during day time in week days. High loads result in high costs and negative environmental impacts. One way to balance the electricity use is demand response, which means shifting load from peak hours to off peak hours. Electricity distributors can implement time-of-use electricity tariffs as an incentive for the end-users to be more flexible in their electricity use. In this study an attempt is made to segment electricity users in households based on their behavior and motivation to shift their electricity use to off peak hours. Behavioral and psychographic variables based on the theory of planned behavior were used to construct a survey. The survey was sent out to almost 3000 households where some of the respondents had a time-of-use tariff and some did not. The survey data was then analyzed using mainly cluster analysis. The results show that there are distinct groups of people experiencing different motivations and barriers to shifting their load. Economy, environmental impact and comfort were among the strongest factors. The study also shows that only for a few factors, motivation and intention to shift load were related to an actual behavioral change.

Key words: demand response, theory of planned behavior, market segmentation, cluster analysis, user behavior

Place, publisher, year, edition, pages
2016. , 57 p.
TVE, 16 004 mars
National Category
Engineering and Technology
URN: urn:nbn:se:uu:diva-282943OAI: diva2:917893
Educational program
Master Programme in Industrial Management and Innovation
Available from: 2016-04-08 Created: 2016-04-08 Last updated: 2016-04-08Bibliographically approved

Open Access in DiVA

Jesper Stenberg En segmentering av elanvändare(1435 kB)81 downloads
File information
File name FULLTEXT01.pdfFile size 1435 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Industrial Engineering & Management
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 81 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 156 hits
ReferencesLink to record
Permanent link

Direct link