If you are a property manager dealing with aging building stocks and rising energy costs — this project developed deep renovation passports that combine 10+ retrofit solutions to achieve 70% energy savings.
AI-Driven Predictive Platform for Climate-Resilient Building Renovation and Disaster Protection
Imagine having a crystal ball for your building that tells you exactly how a heatwave or flood will affect it. This project builds a digital twin of cities to predict disasters and suggests the best ways to upgrade old buildings. It's like a personalized health check and renovation plan for houses to keep people safe and save energy.
What needed solving
Urban areas are exposed to climate disasters because existing buildings were designed for a different climate and lack data-driven risk assessments. This leads to safety risks and inefficient energy use in aging building stocks.
What was built
A technology platform featuring 3+ risk models, AI-based energy simulations, and deep renovation passports combining 10+ retrofit solutions.
Who needs this
Who can put this to work
If you are a city official dealing with unpredictable floods or earthquakes — this project developed a technology platform with 3+ risk assessment models and early warning systems to improve disaster resilience.
If you are an engineering firm dealing with strict carbon targets — this project developed a circular value chain for construction that targets 30% carbon footprint reductions and 60% environmental impact reduction.
Quick answers
What is the cost or pricing for the technology platform?
Based on available project data, specific pricing for the end-user platform is not listed; however, the project is supported by a EUR 4,479,124 EU contribution.
Can this be scaled to different geographic regions?
Yes, the project is testing scalability across three distinct climatic areas in the EU and IndoPacific, specifically Dublin (IE), Patras (GR), and Wellington (NZ).
Who owns the IP and how is licensing handled?
Based on available project data, the IP and licensing terms are not specified, but the project involves a consortium of 16 partners including 6 industry players.
How does this integrate with existing building data?
The platform integrates BIM, digital twins, and monitoring systems to create a functional value chain for renovation.
What is the timeline for deployment?
The project runs from 2024-06-01 to 2027-11-30, suggesting the platform will be refined through 2027.
Who built it
The consortium is well-balanced for commercialization, featuring 16 partners with a strong industry presence (38% industry ratio). With 6 industry partners and 5 SMEs, there is a clear bridge between academic research (5 universities) and market application, ensuring the resulting technology platform is geared toward practical construction and renovation needs.
Contact IES R&D in Ireland for partnership opportunities regarding the technology platform.
Talk to the team behind this work.
Contact us to explore how to integrate these predictive risk models into your property portfolio.