SP1: Digital infrastructures and ICT tools to support flexible energy systems and PCED

Key Developments in Lyon’s SP1 Solutions

• Comprehensive Data Integration – Aggregating electricity consumption, district heating, air quality, and GIS data for smarter urban planning.
• Advanced Monitoring & Visualization – Combining GIS, IoT, and database tools to create dashboards for real-time energy management.
• Data Governance & Stakeholder Engagement – Formalized data-sharing agreements with urban developers, service operators, and public institutions ensure compliance and accessibility.

Next Steps:

• Expanding data coverage and integration to support broader applications beyond the Confluence District.
• Enhancing the CMS platform’s scalability and replicability for future urban data projects.
• Strengthening partnerships with stakeholders to refine energy monitoring strategies.

Lessons Learned & Collaboration Opportunities

Building on insights from the H2020 Smarter Together project, CMS is a pioneering solution in France, offering a structured approach to urban data management and energy efficiency. By providing real-time insights and decision-making tools, Lyon is setting a benchmark for scalable smart city solutions.

Key Developments in Lyon’s SP1 Solutions

• Urban Digital Twin for Energy & Planning – A shared digital infrastructure that enhances simulations, scenario modeling, and visualization for urban development.
• Advanced Data Integration – Incorporating IoT, geodata services, and smart sensors to improve city-wide energy monitoring and optimization.
• AI & User-Centric Enhancements – Developing AI-driven use cases and refining visualization tools to improve accessibility for both planners and citizens.

Next Steps:

• Enhancing 3D integration and real-time data processing for better urban simulations.
• Strengthening cooperation with the Technical University of Munich to expand Digital Twin capabilities.
• Exploring new AI applications to optimize energy efficiency and infrastructure planning.

Lessons Learned & Collaboration Opportunities

Munich’s Urban Digital Twin is designed for scalability and replicability, leveraging open-source technologies and standardized data frameworks to support cities facing similar urban challenges. By continuously refining its digital ecosystem, Munich is setting a benchmark for data-driven urban management and energy transition strategies.

Key Developments in Lyon’s SP1 Solutions

• Energy Data Collection & Management: Porto is defining protocols for data collection, formatting, and processing while integrating datasets from public lighting, e-chargers, and renewable energy production to enhance citywide energy insights.
• Smart Metering & Energy Monitoring: The city is expanding Wi-Fi infrastructure in social housing neighborhoods to enable real-time energy tracking, deploying smart meters for electricity monitoring, and increasing the number of devices to improve efficiency.
• Urban Digital Twin for Energy Planning: A 3D energy model is being developed to track building electricity demand, renewable energy production, and street lighting consumption, with real-time data integration to improve forecasting and planning.
• Digital Blueprint for Renewable Energy Communities: Porto is developing a visualization tool to model energy sharing within RECs, optimizing surplus distribution through an advanced algorithm.

Next Steps:

• Expanding Smart Infrastructure: Scaling up the deployment of monitoring devices and Wi-Fi connectivity in social housing to enhance real-time data collection.
• Integrating Complex Energy Data: Addressing inconsistencies in energy datasets and refining validation processes for improved accuracy.
• Enhancing Digital Twin Implementation: Refining the PCED energy model and aligning it with real-time data to support better energy scenario planning.

Lessons Learned & Collaboration Opportunities

Porto underscores the importance of collaboration between city stakeholders to maximize energy data utilization. The city continues to test innovative methods for real-time energy tracking and REC management, setting a model for scalable and replicable smart energy solutions.

Key Developments in Lyon’s SP1 Solutions

• Microgrid Platform for Energy Optimization – A centralized data system standardizing energy, heat pump, and building performance information across multiple buildings to enhance efficiency and reduce energy waste.
• EV Charging Optimization – A smart charging app allows staggered EV charging in parking garages, ensuring balanced energy loads while maximizing charging capacity.
• Integrated Digital Solutions – Real-time data integration improves building energy performance, district-wide energy planning, and forecasting capabilities.

Next Steps:

• Expanding Digital Infrastructure – Strengthening connectivity and data-sharing mechanisms to scale smart energy solutions.
• Refining Data Integration – Enhancing real-time monitoring and analytics to further optimize energy consumption across the district.
• Scaling Smart Energy Applications – Applying lessons learned to replicate digital energy management solutions in other urban areas.

Lessons Learned & Collaboration Opportunities

Stockholm’s Hammarby Sjöstad serves as a living lab for sustainable urban innovation, demonstrating how data-driven energy solutions can contribute to climate and energy transition goals. Through ElectriCITY’s collaborative approach, the city is pioneering replicable models for smart energy management that can be adapted across Europe.

Key Developments in Lyon’s SP1 Solutions

• Data Governance Framework: A structured approach to data collection and management within the PCED, integrating census data, geospatial information, and energy consumption data.
• GIS-Based Digital Twin & Energy Scenarios: The city is developing energy balance models to simulate and compare different energy scenarios, guiding future investments in renewable energy and efficiency measures.
• Utility Collaboration & Technology Selection: Efforts are ongoing to engage public utility providers, and integrate geodatabases into energy planning models.

Next Steps:

• Finalizing data collection and integration into GIS platforms.
• Modeling energy supply and demand scenarios for optimized planning. 
• Developing methodologies to assess biomass energy potential in the PCED area.

Lessons Learned & Collaboration Opportunities

Budapest is exploring innovative methodologies, such as biomass production mapping, and seeks best practices for large-scale building data collection and Digital Twin applications.

Through these efforts, Budapest is laying the groundwork for smarter, data-driven energy management, ensuring a resilient and sustainable urban future.

Key Developments in Lyon’s SP1 Solutions

• Smart Energy Monitoring: A digital infrastructure is being installed at Dorin Pavel High School to track energy consumption and improve efficiency.
• Infrastructure Upgrades: Efforts include evaluating photovoltaic (PV) systems, repairing faulty inverters, and integrating the system into a Building Management Energy System (BEMS).
• Future Integration: Plans include connecting the energy management system to alternative energy sources and equipping buildings with EV charging stations powered by renewable energy.

Next Steps:

• Creating databases for energy consumption and production.
• Deploying the BEMS to optimize energy use.
• Exploring integration with data-management platforms

Lessons Learned & Collaboration Opportunities

Alba Iulia emphasizes the importance of ensuring private-sector solutions are compatible with broader smart city systems. The city is actively seeking updated digital tools and best practices for integrating energy systems at a larger scale.

With these ongoing developments, Alba Iulia is reinforcing its commitment to smart, data-driven energy management, setting a precedent for efficient and scalable urban management energy solutions which can be replicated not only at city scale level but also at the level of other cities of comparable size.