10 Fakultät Wirtschafts- und Sozialwissenschaften

Permanent URI for this collectionhttps://elib.uni-stuttgart.de/handle/11682/11

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    Consumer behavior, social influence, and smart grid implementation
    (2016) Li, Huijie; Renn, Ortwin (Prof. Dr. Dr. h.c.)
    To achieve the goals of German energy transition especially in renewable energy shares, the smart grid will play a key role in managing the demand able to match more volatile supply and optimizing the entire electricity system. Even though the system transformation is technically feasible, the successful transition cannot live without end users willing to transform their way of using energy. This thesis has explored possible roles of individual consumers in the smart grid implementation and in detail analyzed their influential factors. An online survey was conducted to capture preferences and behaviors of energy consumers during the time period of November 2013 to January 2014. The three roles of private electricity consumers - as consumers consuming electricity through appliances, as citizens holding attitudes towards smart grid applications, and as potential producers of electricity - are targeted. Constructs from the theory of planned behavior were tested by using a sample of 517 German citizens. Structural equation models of individual’s electricity saving behavior, their intention to participate in smart grid applications and investment behavior in solar panels were built. It was found that determinants of attitude, perceived norm, and perceived behavioral control together explain 32%-56% of the variance in the three behaviors. Attitude was found to be the most influential factor of individual electricity saving behavior, as well as of citizens’ intentions to participate in smart grid applications. For solar panel investment, it is perceived behavioral control that has the highest impact on the behavior. As the smart grid concept is not well understood by common people, education program and information campaigns are needed, in which social norm marketing is worth more attention, ascribable to the considerable impact caused by the diffusion of norms through social networks. To examine this social influence effect, empirically founded agent-based models for the above-mentioned three behaviors were created to estimate possible behavior changes brought by social norms at the aggregate level. Simulation results show that a reduction of total consumptions by 20% could be achieved in the virtual community due to behavior conformity induced by identified adopters. The potential impact of social norms on home generation and load shift are also promising.
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    Exploring smart grids with simulations in a mobile science exhibition
    (2015) Li, Huijie; Chabay, Ilan; Renn, Ortwin; Weber, Andreas; Mbungu, Grace
    Improving the publics' understanding of the energy system is a challenging task. Making citizens aware of how the complex energy system functions and how consumers of energy services can respond to a changing energy environment seems more difficult. In the context of the German energy transition, more active energy consumers are needed, not only in producing electricity on their own but also interacting with suppliers to make the energy system operate in a more efficient way through the development of a "smart grid". This article describes an approach taken with a public education perspective to engage citizens in thinking about the issues we are facing in moving toward a future with greater reliance on renewable energy. We introduced a mobile exhibition, including an interactive simulation game, which offered a perspective on the whole energy system. The goal was to stimulate questions and arouse citizens' interest in learning about the smart grid and help them to prepare for the transition to a smarter way of using energy.