Ongoing

Energy Data and Flexibility Management for Positive Energy Districts

Duration
16 December 2025 - 15 June 2027
Funding program
National Science Fund, Ministry of Education and Science
Project Type
Collaborative Research & Innovation Action
Coordinator
Dr. Lidia Vitanova

Goals & Impact

Aim

The FlexPED project aims to: Adapt industrial energy data management approaches to city-district contexts, enabling effective management of energy data for Positive Energy Districts (PEDs), while ensuring data privacy, security, and compliance with legislative requirements.

Partnership

  • Hochschule für Technik Stuttgart (HFT), GERMANY
  • Landeshauptstadt Stuttgart (STG), GERMANY
  • AIT Austrian Institute of Technology GmbH (AIT), AUSTRIA
  • Technische Universiteit Delft (TUD), the Netherlands
  • Infosolutions Sp. z o.o. (INFO), POLAND
  • Uniwersytet Przyrodniczy we Wrocławiu (UPWr), POLAND

Research activities

1. Analysis and adaptation of industrial models

  • Study how energy data is managed in industrial settings (e.g. centralised control)
  • Identify how these approaches can be adapted to decentralised urban districts

2. Development of an energy data management concept
Design a framework for: real-time monitoring of energy flows, optimisation of energy use
implementation of flexibility strategies

3. Prototype development: Urban Digital Twin (UDT) platform

  • Build and test a prototype UDT platform
  • Use it to simulate and manage energy systems in urban districts

4. Case study implementation
Apply and evaluate the solution in: Rosenstein (Stuttgart, Germany) and Lozenets (Sofia, Bulgaria)

5. Secure and decentralized data exchange

  • Integrate with GATE’s data space testbed
  • Develop a prototype for: secure data sharing and decentralised data governance

6. Establishing best practices
Define guidelines for: scalable urban energy data systems and future EU-wide data spaces integrated with UDT

partners

SAI is a collaborative project between top research institutions across Europe:

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Team & Collaborators

Our interdisciplinary team includes AI researchers, data scientists, health technology experts, and ethicists.
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