EnMRgy: Energy Network Analysis in Mixed Reality (Poster Abstract)

Joos, Lucas; Fischer, Maximilian T.; Frings, Alexander; Keim, Daniel A.

doi:10.4230/LIPIcs.GD.2025.55

Abstract

The shifting and ever-growing demand for energy, for instance, driven by transformations towards new technologies such as electric vehicles, heat pumps, battery storage, or rooftop solar, requires urban infrastructure to adapt. Upgrading legacy infrastructure, such as undersized electric cables, is costly, time-consuming, and disruptive, and therefore requires a holistic perspective and thorough urban planning that considers multi energy systems and co-located utilities. We present EnMRgy, a mixed-reality decision-support system that enables experts and decision-makers to explore a city’s energy distribution networks, together with demand simulations and scenarios for infrastructure development. Within an immersive 3D city context, an energy network such as a power grid, modelled as a weighted graph, is visualised. Interactive functionalities allow users to adjust visual representations and compare scenarios across three different views. Our work enables evidence-based strategic planning for future-ready energy networks.

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Lucas Joos, Maximilian T. Fischer, Alexander Frings, and Daniel A. Keim. EnMRgy: Energy Network Analysis in Mixed Reality (Poster Abstract). In 33rd International Symposium on Graph Drawing and Network Visualization (GD 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 357, pp. 55:1-55:5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025) https://doi.org/10.4230/LIPIcs.GD.2025.55

Author Details

Lucas Joos

University of Konstanz, Germany

Maximilian T. Fischer

University of Konstanz, Germany

Alexander Frings

University of Konstanz, Germany

Daniel A. Keim

University of Konstanz, Germany

Funding

The authors gratefully acknowledge financial support by the Federal Ministry for Economic Affairs and Climate Action (BMWK, grant No. 03EI1048D) and by the City of Konstanz’s Smart Green City program as part of the "Model Projects Smart Cities" funding program of the German Federal Ministry for Housing, Urban Development and Building (BMWSB, grant No. KfW 13622889).

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EnMRgy: Energy Network Analysis in Mixed Reality (Poster Abstract)

Authors Lucas Joos , Maximilian T. Fischer , Alexander Frings , Daniel A. Keim

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