FlexPED
Energy Data and Flexibility Management for Positive Energy Districts
- Category
- Project
- Call
- DUT Call 2024
- Duration
- –
- Project coordinator
- Stuttgart Technology University of Applied Sciences
Positive Energy Districts (PEDs) are essential to urban clean energy transitions, requiring effective energy data management to enable real-time monitoring of cross-sectoral energy flows, optimise energy usage, and implement flexibility strategies. Successful examples like Bosch’s Schwieberdingen industrial site in Germany demonstrate how centralised energy management and demand-side flexibility reduce external energy dependence and optimise the use of local heat and power resources. However, applying these strategies to city districts is more complex due to cities’ decentralised nature, where multiple stakeholders control different parts of the energy system. This fragmentation causes data gaps, poor interoperability, and decision-making in silos that hinder the deployment of coordinated flexibility measures. The FlexPED project will investigate how to bridge this gap by translating industrial energy data management and flexibility strategies to urban districts—ensuring privacy, security, and regulatory compliance—through an AI powered Urban Digital Twin (UDT).
FlexPED will deliver an open, intelligent, and scalable energy data management and flexibility framework for city districts, using a UDT platform with generative AI as its core decision support system - tested in two demonstrators: Stuttgart’s planned Rosenstein district in Germany and Sofia’s existing Lozenets district in Bulgaria. The central hypothesis is that an operational UDT platform, integrated with AI-powered agent-based simulation can actively support stakeholders in co-developing, implementing, and monitoring adaptive and decentralised energy flexibility strategies.
FlexPED aims to deliver an open, intelligent, and adaptable energy data management and flexibility framework that powers a next-generation UDT platform. By combining AI-driven forecasting, agent-based simulation, and real-time energy data integration using OGC (Open Geospatial Consortium) standardised web services, the project will unlock new levels of flexibility, improve energy efficiency, close interoperability gaps, and empower stakeholders at all levels to make proactive, data-informed decisions. The outcomes will provide a scalable blueprint for replicating the solution in other EU cities/future PEDs.
Austria
Bulgaria
Germany
Poland
The Netherlands
AIT Austrian Institute of Technology GmbH, Infosolutions Sp. z o.o., Landeshauptstadt Stuttgart, Sofia University St. Kliment Ohridski, Technische Universiteit Delft, Uniwersytet Przyrodniczy we Wrocławiu
Robert Bosch GmbH, Stolitjna Obsjtina
Contact
Volker Coors
volker.coors@hft-stuttgart.de