SciTransfer
AEROSOLS · Project

Advanced Monitoring and Reduction of Invisible Vehicle Emissions for Health and Compliance

transportPrototypeTRL 3

Think of car exhaust as more than just the smoke you see; there are invisible, sticky chemicals that float in the air and turn into tiny particles. These hidden pollutants are hard to track and can cause serious health problems. This work creates a better way to measure these invisible gases and find ways to stop them from leaving the tailpipe.

By the numbers
1nm
minimum particle size for characterization
36
project duration in months
The business problem

What needed solving

Current vehicle emission tests ignore semi-volatile organic compounds, leading to an underestimation of air pollution and health risks. Companies lack the precise tools to measure these 'invisible' particles and the knowledge to abate them effectively.

The solution

What was built

The project is building robust measurement and modelling methodologies to quantify V/S-V emissions and an AI-assisted system to prioritize pollutants based on health and climate impact.

Audience

Who needs this

Exhaust aftertreatment system manufacturersAutomotive R&D departmentsEnvironmental regulatory agenciesFuel and lubricant chemical engineers
Business applications

Who can put this to work

Automotive Manufacturing
enterprise
Target: Vehicle Engine and Exhaust System Manufacturer

If you are a manufacturer dealing with strict new emission laws — this project developed measurement and modelling methods that quantify disregarded volatile emissions. This allows you to design better abatement mechanisms to ensure vehicles meet future legislation.

Environmental Technology
SME
Target: Air Quality Sensor and Monitoring Firm

If you are a sensor company dealing with inaccurate urban pollution data — this project developed ways to characterize particles as small as 1nm. This enables the creation of high-precision instruments for monitoring secondary aerosol formation.

Chemicals
enterprise
Target: Lubricant and Fuel Producer

If you are a fuel producer dealing with the environmental impact of hydrocarbons — this project developed a way to taxonomise emissions using Artificial Intelligence. This helps you identify which specific compounds in your products contribute most to smog and health risks.

Frequently asked

Quick answers

What is the cost or price of the developed technology?

Based on available project data, no specific pricing or cost information for the resulting technologies is provided.

Is the solution ready for industrial scale?

The project focuses on defining measurement and modelling methodologies and proposing mechanisms; it is currently in the research and characterization phase rather than full industrial scale.

How is the IP and licensing handled?

Based on available project data, there are no specific details regarding patents or licensing agreements.

How does this affect emissions legislation?

The project aims to provide advocacy information and proposals to improve standards and regulations to help prevent smog episodes.

What is the project timeline?

The project runs for 36 months, from 2024-01-01 to 2026-12-31.

Consortium

Who built it

The consortium consists of 9 partners across 7 countries, showing a strong European reach. With a 33% industry ratio (3 industrial partners, including 2 SMEs), the project balances academic research from 3 universities and 3 research centers with practical industrial application, ensuring the findings are relevant to the automotive and chemical sectors.

How to reach the team

Contact the National Center for Scientific Research Demokritos in Greece

Next steps

Talk to the team behind this work.

Contact us to identify potential licensing opportunities for these emission monitoring methodologies.

More in Transport & Mobility
See all Transport & Mobility projects