Imagine if you could use a smart computer program to pick the perfect building materials and heating systems instantly. Instead of guessing or doing a hundred manual calculations, the AI balances energy bills, construction costs, and air quality all at once. It is like having a master architect and an accountant working together in real-time to make a building carbon-neutral.
Designing zero-emission buildings is currently too complex and expensive because energy, cost, and material data are handled in separate, disconnected steps. This fragmentation leads to inefficient designs and higher costs.
An AI-assisted decision-support platform and a comprehensive database of characterised materials to optimize building design.
If you are a design firm dealing with the complexity of balancing energy targets and construction costs — this project developed an AI-assisted platform that optimizes material selection and system design. This allows you to create zero-emission buildings more efficiently across different climates.
If you are a developer dealing with strict EU climate neutrality goals and high material costs — this project developed a decision-support tool that evaluates cost-effectiveness and environmental impact simultaneously. This helps in reducing the financial risk of building a climate-neutral stock.
If you are a manufacturer dealing with a lack of standardized data on how your materials perform in real buildings — this project developed a database of well-characterised materials. This increases the likelihood of your products being selected by AI-driven design tools.
The AI-assisted methodology makes the design process more efficient and user-friendly by automating the selection of materials and systems. Based on available project data, it reduces the complexity of integrated design, making high-performance buildings more accessible.
Yes, the project is testing the methodology with four representative demonstrators in Ukraine, Spain, the United Kingdom, and the Netherlands. This ensures the tool works across different climates and building patterns.
Based on available project data, the specific licensing terms are not mentioned, but the project focuses on promoting standardization and interoperability with existing design workflows.
Yes, it is specifically aligned with the European Green Deal and the Renovation Wave initiative to help achieve a zero-emission building stock by 2050.
The project period runs from 2024-01-01 to 2028-12-31, suggesting the final validated tool will be ready toward the end of 2028.
The consortium is well-balanced for commercial translation, featuring 18 partners with a strong industrial presence. With 7 industry partners (including 3 SMEs), the industry ratio is 39%, ensuring that the AI tool is developed with market needs in mind rather than just academic interest. The geographic spread across 8 countries (including UK, UA, and EU states) provides a diverse set of climate data and regulatory environments.
Contact the Universidad Politecnica de Madrid
Contact us to connect with the ZEBAI consortium for early tool access.
