Development of an after treatment system for trucks that is smaller, cheaper and more resource efficient
Reference number | |
Coordinator | NILCON ENGINEERING AB |
Funding from Vinnova | SEK 984 000 |
Project duration | May 2018 - May 2019 |
Status | Completed |
Venture | Innovationsprojekt i företag 2018 |
Purpose and goal
The purpose of the project was to accelerate the time to market for our catalyst system for trucks that are significantly smaller and more resource-efficient by producing measurement data that shows that it also increases the exhaust gas purification compared to current systems. The aim was to map how the emissions from Nilcon´s catalyst system for trucks look through full-scale standardized tests that confirm small-scale tests and also to investigate the patentability of our manufacturing method, apply for a patent on this and to understand the market´s needs regarding the product.
Expected results and effects
The results were very good and show that we have zero emissions of CO and HC as well as minimal emissions, far below the limit levels, for NOx and PM under a standard European Stationary Cycle (ETC) test. The results also showed that our SCR reacts very quickly to the UREA dosage. The results will be used to reliably and convincingly find customers who want to manufacture our technology under license. We are able to offer these customers a system that is more than twice as cheap and resource-efficient, with half the volume compared to current systems and with a very high degree of exhaust cleaning.
Planned approach and implementation
The implementation has consisted of preparations and execution of full-scale standardized tests with a Euro VI engine and additional small-tests. The results and the data from the tests have been analyzed and compiled. We have adapted a UREA dosing to our fullscale system and analyzed how this works for our system. We have had discussions with our current licensees to understand what data they need to upgrade to our new catalyst system. Furthermore, we have worked with approaches to get the remaining data required from stakeholders on the market.