MODELAIR

MSCA Doctoral Network (Grant 101072559, 2023–2026)

MODELAIR (www.modelair.eu) is a European research and training network funded by the Marie Skłodowska-Curie Actions. Its goal is to develop AI-driven tools and reduced-order models (ROMs) to better understand and control urban air pollution, providing actionable insights to city councils and industry.

The project combines theoretical, experimental, numerical and data-driven approaches to simulate, monitor, and mitigate the dispersion of pollutants in cities. Twelve doctoral candidates are trained across leading institutions: Universidad Politécnica de Madrid (coordinator), BSC-CNS, Université Libre de Bruxelles, KTH Royal Institute of Technology, ARUP, and Microflown Technologies; working closely with associated partners including the University of Bristol, Air Quality Consultants, BuildWind SPRL, University of Michigan, Ayuntamiento de Madrid and Bristol City Council, and other stakeholders.

Key objectives include:

• Studying the effect of urban topology on pollution distribution.

• Designing real-time decision-making tools for sensor placement and maintenance.

• Optimising traffic routes and emission sources to reduce pollution.

By integrating computational fluid dynamics, novel sensing, and artificial intelligence, MODELAIR contributes directly to the EU Mission: Climate-neutral and smart cities, delivering tools that help municipalities reduce emissions, improve air quality, and protect citizens’ health.

Contact: Soledad Le Clainche, Project Coordinator, Universidad Politécnica de Madrid (Email: soledad.leclainche@upm.es)