UrbanTwin

A digital twin for urban infrastructure - Assessing the effectiveness of climate-related policies and actions

  • Develop and validate an integrated tool to support decision-makers in achieving goals such as the Swiss Energy Strategy 2050 and the vision of climate-adaptive ''sponge cities'' in Switzerland
  • Model the critical urban infrastructure, such as energy, water, buildings and mobility and their inter-dependencies.
  • Create a multi-scale digital twin running on a large-scale IT infrastructure.
  • While planning for how to achieve the CO2 targets and create ''climate-adaptive sponge-cities'' in Switzerland, there is a need for a framework/tool that can tightly integrate energy, water and buildings in an urban environment while incorporating socio-economic factors and human behavior based on data collection, integration of dominant techniques across disciplines using artificial intelligence (AI) or machine learning (ML)
  • Lack of user-friendly and accessible tools for various stakeholders to consider the trade-offs for each future energy scenario

FEN's tasks (as part of WP1 on the "external page joint management of energy and water"  led by external page Prof. Mario Paolone):

  • Long-term multi-energy urban/rural planning
  • Flexibility-aware electricity distribution grid planning
  • Gas distribution network planning
UrbanTwin collaborations between FEN and EPFL groups: DESL (Prof. Paolone) and IPESE (Prof. Marèchal)
UrbanTwin collaborations between FEN and EPFL groups: DESL (Prof. Paolone) and IPESE (Prof. Marèchal)
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