Urban Digital Twins

Positive Energy Districts (PED) are a piece of the puzzle for the goal of climate neutrality in the coming decades. It is a great challenge to reconcile the different requirements of developers, planners, the city administration, and other stakeholders. In addition, there are technical and social challenges due to increased energy production in the neighborhood. The DigitalTwins4PEDs project wants to develop a quality assurance process with a digital twin energy model to ensure energy performance in the entire neighborhood, test it in three pilot areas and thus ensure a positive energy balance in the entire process.

The Applied AI contributes with expertise to the development and review of the quality assurance process for PEDs by using Digital Twins.

Illustration: Chalmers University

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Dag Wästberg

Data scientist, Geodata specialist, MSc

Jens Olsson

Scientific programmer, PhD, MSc Engineering, MSc Architecture

Siddhartha Kasaraneni

Data Scientist, Software Developer, MSc

Bernd Ketzler

Group manager Applied AI

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