SciTransfer
TWINVERSE · Project

AI-Powered Digital Twins for Climate-Neutral and Resilient Urban Planning

environmentPrototypeTRL 3

Imagine having a high-tech digital mirror of a city that updates in real-time. It lets city leaders test changes—like adding new parks or changing bus routes—to see if they actually lower heat or pollution before spending any money. It's like a flight simulator for urban planning to fight climate change.

By the numbers
70%
Global CO2 emissions attributed to cities
75%
EU population hosted in cities
26
Total consortium partners
The business problem

What needed solving

Urban planning is currently fragmented and lacks real-time data, making it difficult for cities to reach climate neutrality. This leads to inefficient responses to heatwaves, flooding, and air pollution.

The solution

What was built

A federated ecosystem of AI-enhanced Digital Twins and modular AI services for urban scenario analysis and impact simulation.

Audience

Who needs this

Municipal urban planning departmentsSmart city technology integratorsEnvironmental consultancy firmsPublic transport authorities
Business applications

Who can put this to work

Urban Planning & Consulting
SME
Target: City planning consultancy

If you are a city planning consultancy dealing with fragmented urban data — this project developed AI-enhanced Digital Twins that allow for accurate scenario analysis and impact simulation. This helps you provide data-backed recommendations for climate neutrality.

Energy Management
enterprise
Target: District heating and energy provider

If you are an energy provider dealing with energy poverty and inefficient grids — this project developed modular AI services integrating real-time energy and socio-demographic data. This enables more precise targeting of energy efficiency upgrades.

Public Transport
mid-size
Target: Urban mobility operator

If you are a mobility operator dealing with air pollution and traffic congestion — this project developed interoperable digital twins that integrate mobility and land use data. This allows you to optimize Sustainable Urban Mobility Plans (SUMPs) based on real-time intelligence.

Frequently asked

Quick answers

What is the cost or pricing model for using these tools?

Based on available project data, the project focuses on open-source components, but specific pricing for commercial services is not provided.

Can this be scaled to any city in the world?

The project is designed for scalability and replicability across diverse European cities using a federated ecosystem of interoperable twins.

Who owns the IP and how is licensing handled?

Based on available project data, the project emphasizes open-source components to ensure sustainability and scalability.

How does this integrate with existing city data?

It integrates real-time and static urban data across domains like mobility and energy, aligning with Common European Data Spaces.

What is the timeline for the rollout of these tools?

The project period runs from 2026-05-01 to 2029-04-30.

Consortium

Who built it

The consortium is diverse and well-balanced for a tech-to-city deployment, consisting of 26 partners across 7 countries. With 6 industry partners (including 5 SMEs) and 8 research organizations, there is a strong mix of commercial interest and academic rigor, resulting in an industry ratio of 23%.

How to reach the team

Contact Fondazione LINKS in Italy

Next steps

Talk to the team behind this work.

Contact us to track the development of these AI urban tools.

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