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Smart grids or smart users? Involving users in developing a low carbon electricity economy

This article analyses practices and perceptions of stakeholders on including users in smart grids experiments in the Netherlands. In-depth interviews have been conducted and smart grid projects have been analysed, using a Strategic Niche Management framework. The analysis shows that there is a clear trend to pay more attention to users in new smart grid projects. However, too much focus on technology and economic incentives can become a barrier. Some institutional barriers have been identified. New innovative business models should be developed to explore different options to involve users. The many pilot and demonstration projects that are taking shape or are being planned offer an excellent opportunity for such an exploration. Learning on the social dimensions of smart grids, and the international exchange of experiences can prevent a premature lock-in in a particular pathway.
- Technical University Eindhoven Netherlands
- Technical University Eindhoven Netherlands
- Eindhoven University of Technology Netherlands
- Technical University Eindhoven TU Eindhoven Research Portal Netherlands
- Utrecht University Netherlands
SDG 7 - Affordable and Clean Energy, SDG 7 – Betaalbare en schone energie
SDG 7 - Affordable and Clean Energy, SDG 7 – Betaalbare en schone energie
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).288 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
