If you are a civil engineering firm dealing with unpredictable flood risks — this project developed Graphical Digital Twins that allow you to simulate and validate climate solutions. This reduces the risk of failure and helps lower economic losses from natural hazards by 14%.
Scaling Climate Adaptation Solutions for Regional Resilience and Market Growth
Imagine a giant digital map that shows exactly how a city or region will react to a flood or heatwave, helping leaders test solutions before spending money. It's like a flight simulator for climate disasters. The project gathers a huge library of proven tools and matches them with the regions that need them most to stop disasters before they happen.
What needed solving
Climate-vulnerable regions struggle to find and implement proven adaptation tools quickly, leading to high economic losses and a wide climate protection gap.
What was built
A repository of 104 climate adaptation solutions and operational Graphical Digital Twins for regional simulation and onboarding.
Who needs this
Who can put this to work
If you are a climate adaptation startup dealing with slow market entry — this project developed a repository of 104 solutions and a transfer methodology. This reduces time-to-market and risk for over 100 new solutions by providing scale-up opportunities in 12 regions.
If you are an investment fund dealing with high-risk climate assets — this project developed regional measures and policy instruments. These tools aim to increase levels of green investments by 20% across the targeted regions.
Quick answers
What is the cost or price of implementing these solutions?
Based on available project data, specific pricing or implementation costs are not provided; the project focuses on funding the demonstration and transfer of know-how.
Can these solutions be scaled to an industrial level?
Yes, the project implements 4 large-scale demonstrators and transfers solutions to 8 twinning regions to ensure scalability and market uptake.
How is the IP and licensing handled for the 100+ solutions?
Based on available project data, the project uses a repository to describe and evaluate solutions, with a dedicated mutual-learning scheme to support exploitation and market scale-up.
What is the timeline for deployment?
The project runs from 2023-01-01 to 2027-12-31, with goals to reach specific adaptation targets by 2027.
How do the digital tools integrate with existing regional data?
The project uses Graphical Digital Twins (GDT) and a 'Digital Shepherd' to ensure the tools are usable and inclusive for regional operators.
Who built it
The consortium is highly diversified with 62 partners across 14 countries, showing strong cross-border scalability. While research and universities dominate (23 partners), there is a significant operational core of 30 'Other' entities and 9 industry partners (15% ratio), including a Venture Capital Fund specifically brought in to drive market exploitation and commercial viability.
Contact SINTEF AS in Norway for details on the GDT framework and solution repository.
Talk to the team behind this work.
Request access to the CCA solution repository for your region.