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Open AccessArticle

Modelling End-User Behavior and Behavioral Change in Smart Grids. An Application of the Model of Frame Selection

Technology Studies Group, Faculty of Social Sciences, TU Dortmund University, 44227 Dortmund, Germany
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Energies 2020, 13(24), 6674; https://doi.org/10.3390/en13246674
Received: 30 September 2020 / Revised: 5 December 2020 / Accepted: 14 December 2020 / Published: 17 December 2020
(This article belongs to the Special Issue Agent-Based Modeling of Socioeconomic Challenges of Energy Transition)
This paper presents an agent-based model (ABM) for residential end-users, which is part of a larger, interdisciplinary co-simulation framework that helps to investigate the performance of future power distribution grids (i.e., smart grid scenarios). Different modes of governance (strong, soft and self-organization) as well as end-users’ heterogeneous behavior represent key influential factors. Feedback was implemented as a measure to foster grid-beneficial behavior, which encompasses a range of monetary and non-monetary incentives (e.g., via social comparison). The model of frame selection (MFS) serves as theoretical background for modelling end-users’ decision-making. Additionally, we conducted an online survey to ground the end-user sub-model on empirical data. Despite these empirical and theoretical foundations, the model presented should be viewed as a conceptual framework, which requires further data collection. Using an example scenario, representing a lowly populated residential area (167 households) with a high share of photovoltaic systems (30%), different modes of governance were compared with regard to their suitability for improving system stability (measured in cumulated load). Both soft and strong control were able to decrease overall fluctuations as well as the mean cumulated load (by approx. 10%, based on weekly observation). However, we argue that soft control could be sufficient and more societally desirable. View Full-Text
Keywords: electricity feedback and consumption; governance; variable rationality; agent-based modelling; socio-technical aspects of energy systems; co-simulation electricity feedback and consumption; governance; variable rationality; agent-based modelling; socio-technical aspects of energy systems; co-simulation
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MDPI and ACS Style

Hoffmann, S.; Adelt, F.; Weyer, J. Modelling End-User Behavior and Behavioral Change in Smart Grids. An Application of the Model of Frame Selection. Energies 2020, 13, 6674.

AMA Style

Hoffmann S, Adelt F, Weyer J. Modelling End-User Behavior and Behavioral Change in Smart Grids. An Application of the Model of Frame Selection. Energies. 2020; 13(24):6674.

Chicago/Turabian Style

Hoffmann, Sebastian; Adelt, Fabian; Weyer, Johannes. 2020. "Modelling End-User Behavior and Behavioral Change in Smart Grids. An Application of the Model of Frame Selection" Energies 13, no. 24: 6674.

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