PEDAID3
Positive Energy District supported by AI and Data-Driven-Decisions
- Category
- Project
- Call
- DUT Call 2024
- Duration
- –
- Project coordinator
- Universidad de Las Palmas de Gran Canaria
Positive Energy Districts (PEDs) support the vision for future urban energy systems by enhancing energy efficiency and enabling renewable energy generation from individual buildings to entire city districts. By adopting the PED approach, urban areas contribute to regional and national energy systems by smoothing peak production, managing demand, and supporting energy exchange and storage. Still, realising PEDs presents challenges, particularly in providing effective situational awareness and decision support to various stakeholders. This requires the integration of multiple distributed data sources, such as renewable energy installations, and the management of dynamic, multidirectional data streams, including interactions like Vehicle-to-Grid (V2G).
PEDAID3, standing for Positive Energy District supported by Artificial Intelligence and Data-Driven Decisions, addresses these challenges through three key developments:
- A Stakeholder-Centric Framework for Holistic PED Modelling.
- Co-Created PED Solutions grounded in this Framework.
- A Multi-Stakeholder Decision Support Platform integrating the Co-Created PED Solutions.
The PEDAID3 solutions will be co-created with communities from Las Palmas de Gran Canaria, Lugaggia Innovation Community, Riga Technical University Campus, the Municipality of Cheremule, and the Municipality of Rzeszów and validated at laboratory level using data from these communities. PEDAID3 fully aligns with the overarching objectives of the DUT call, covering urban, peri-urban, and urban-rural areas.
PEDAID3 will deliver a stakeholder-centric digital platform that enhances planning, monitoring, and optimisation of PEDs across Europe. By integrating urban energy and spatial tools, AI algorithms, and a robust Data Management System, the Platform will empower municipalities, PED managers, and citizens with reliable, micro-level data for inclusive, data-driven decision-making. It will improve data interoperability across energy, mobility, and resource sectors, while ensuring accessibility for vulnerable and marginalised communities. The Platform’s scalability and openness will enable integration with Europe’s digital ecosystem, fostering synergies with smart city infrastructures. Through lab-scale validation and practical guidelines, PEDAID3 will support replication of PED solutions across diverse EU contexts. The project is expected to drive reductions in emissions, improve energy efficiency, enhance governance, and promote social equity, supporting the EU’s goals for climate-neutral, digitally advanced, and inclusive cities.
Italy
Latvia
Norway
Poland
Spain
Switzerland
Acondicionamiento Tarrasense Associación - LEITAT, ASM Research Solutions Strategy , Norges Teknisk-Naurvitenskapelige Universitet - NTNU, Rigas Tehniska Universitate - RTU, Scuola Universitaria professionale Della Svizzera Italiana - SUPSI, STAM S.r.l. , Universidad de Las Palmas de Gran Canaria - ULPGC
Azienda Elettrica di Massagno (AEM) SA , Comune di Cheremule , Gmina Miastro Rzeszow, Sociedad Municipal de Aparcamientos de Las Palmas de Gran Canaria - SAGULPA
Contact
José Évora-Gómez
jose.evora@ulpgc.es
Stefano Sanfilippo
s.sanfilippo@stamtech.com