PAI-BLUE Cities – AI for Urban Green & Blue Infrastructure

MultiFluidX is seeking partners for an Innovation-Oriented project under DUT Call 2026 – Circular Urban Economies (CUE), Topic 2: Innovative maintenance of urban green and blue spaces.

The proposed project will build on PAI-BLUE – Physics-Informed AI Modelling of Blue-Green Urban Systems, currently developed by MultiFluidX within the COSMIC European innovation programme.

PAI-BLUE combines Computational Fluid Dynamics (CFD) and Artificial Intelligence to accelerate the modelling of blue-green urban systems. The current technology focuses on three main typologies: vegetation canopies (trees and urban green areas), green façades and roofs, and urban water bodies, and their interaction with the urban microclimate.

For DUT 2026, we aim to extend this technological foundation towards a practical AI-assisted decision-support system for cities and urban planners. The objective is to enable rapid assessment and comparison of alternative green-blue interventions and their impacts on urban microclimate, airflow, heat mitigation and thermal comfort.

Potential applications include evaluating alternative tree and vegetation configurations, green façades and roofs, urban water features and combinations of green-blue infrastructure under different urban morphologies and climatic conditions. The project would move beyond technology development towards co-design, real-world demonstration and validation in an urban pilot.

We are particularly looking for:

• a city, municipality or other urban public authority interested in acting as pilot site and end user;

• universities/RTOs with expertise in urban climate, green-blue infrastructure, nature-based solutions, heat mitigation and environmental modelling;

• urban planning, landscape architecture and green-infrastructure partners with expertise in implementation and maintenance;

• complementary technology partners in areas such as environmental monitoring, GIS, IoT, remote sensing and urban digital twins.

MultiFluidX will contribute its expertise in AI-accelerated CFD, physics-informed machine learning, urban microclimate modelling and digital-twin technologies.

We are open to discussing both joining forces with an emerging consortium and jointly building a consortium around a strong city challenge and real-world pilot.