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Decentralisation dynamics in energy systems: A generic simulation of network effects

•Development of a generic simulation framework for decentralisation dynamics.•Simulation of network effects explaining endogenous determining the decentralisation dynamics and path dependency.•Network effects impact the transition in various ways that cannot be explained otherwise.•Pilot projects ca...

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Bibliographic Details
Published in:Energy research & social science 2016-03, Vol.13, p.71-83
Main Authors: Kubli, Merla, Ulli-Beer, Silvia
Format: Article
Language:English
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Summary:•Development of a generic simulation framework for decentralisation dynamics.•Simulation of network effects explaining endogenous determining the decentralisation dynamics and path dependency.•Network effects impact the transition in various ways that cannot be explained otherwise.•Pilot projects cause learning effects crucial for the diffusion of distributed generation concepts.•Adjustment of the grid charge tariff pushes more consumers into advanced self-consumption concepts and therefore reduces the amount of conventional prosumers. Distributed generation is becoming increasingly important in energy systems, causing a transition towards decentralisation. These decentralisation dynamics are difficult to predict in their scope and timing and therefore present a major challenge for utility companies. This paper aims to make a contribution to the field of energy transitions with a model-based theory-building approach. A conceptual framework of the major (circular) causalities of regional energy systems is presented. It improves the knowledge on transition patterns of distributed generation concepts and the interplaying network effects. Network effects between technologies, the installed base and the investment decision criteria are important elements in the transition dynamics. A System Dynamics simulation model is built, capturing the consumption concepts related to distributed generation, as well as arising network effects, to analyse the likely transition patterns of regional energy systems. Our simulation results highlight the significance of network effects steering the investment decision for distributed generation concepts, pilot projects to accelerate the transition of regional energy systems and the general role of microgrids in the decentralisation dynamics.
ISSN:2214-6296
2214-6326
DOI:10.1016/j.erss.2015.12.015