PEDAID3

Positive Energy District supported by AI and Data-Driven-Decisions

Project
Suggested for funding
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.

Participating countries

Italy

Latvia

Norway

Poland

Spain

Switzerland

Funded project partners

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

Other project partners

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

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