SciTransfer
Organization

INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE ROUEN

French engineering school specialized in combustion simulation, turbulence modeling, and emission prediction for aerospace and clean energy applications.

University research grouptransportFR
H2020 projects
6
As coordinator
1
Total EC funding
€841K
Unique partners
221
What they do

Their core work

INSA Rouen is a French engineering school with deep specialization in computational fluid dynamics (CFD) and combustion science. Their research group develops advanced simulation methods — particularly Large Eddy Simulation (LES) — to model turbulent reacting flows in combustion systems, including aeronautical engines and hydrogen burners. They combine numerical modeling with machine-learning techniques to improve prediction of emissions (NOx, soot, particulates) and combustion efficiency. Their work directly supports the aerospace and clean energy industries in designing lower-emission propulsion and power systems.

Core expertise

What they specialise in

Combustion simulation and emission modelingprimary
4 projects

Core focus across SOPRANO (soot in aeronautical combustors), LOOPS (low NOx injection), REDAFLOW (turbulent reacting flows), and Green-Combustion (hydrogen combustion modeling).

Computational Fluid Dynamics and Large Eddy Simulationprimary
4 projects

CFD and LES methods are the methodological backbone of STREAM, LOOPS, REDAFLOW, and Green-Combustion.

Turbulence modeling in engineered systemsprimary
3 projects

Turbulence appears across STREAM (roughness in manufactured parts), REDAFLOW (turbulent reacting flows), and Green-Combustion.

Machine learning for physics-based simulationemerging
1 project

REDAFLOW (2021-2024) explicitly combines data-assisted reconstruction frameworks with machine learning for turbulent flow prediction.

Hydrogen combustion modelingemerging
1 project

Green-Combustion (2021-2023) focuses specifically on premixed hydrogen combustion, signaling a move toward clean fuel research.

Additive manufacturing surface analysissecondary
1 project

STREAM project applied CFD to model turbulence effects of surface roughness in 3D-printed parts.

Evolution & trajectory

How they've shifted over time

Early focus
Turbulence and aeronautical soot
Recent focus
Low-emission and hydrogen combustion

In the earlier period (2014–2018), INSA Rouen contributed to broad fusion research (EUROfusion) and aeronautical soot modeling (SOPRANO), with secondary work on turbulence and roughness in additive manufacturing (STREAM). From 2019 onward, a clear pivot occurred toward combustion-specific simulation — low-emission engine design (LOOPS), data-driven turbulent flow reconstruction (REDAFLOW), and hydrogen combustion (Green-Combustion). The recent period also introduced machine learning as a methodological tool, layered on top of their established CFD expertise.

INSA Rouen is moving from traditional CFD toward AI-augmented combustion modeling with a growing focus on hydrogen and clean fuel systems — positioning them well for the EU's decarbonization research agenda.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European28 countries collaborated

INSA Rouen primarily operates as a specialist contributor rather than a consortium leader — coordinating only 1 of 6 projects (REDAFLOW, an MSCA fellowship). They frequently participate as a third party (2 projects), which suggests they are brought in for specific technical expertise rather than leading large collaborative efforts. With 221 unique partners across 28 countries, they are well-networked through large-scale Joint Technology Initiatives and transport consortia, making them easy to integrate into new partnerships.

INSA Rouen has collaborated with 221 unique partners across 28 countries, largely through participation in large aeronautics and fusion consortia. Their network spans most of the EU, with strong connections in the transport and clean energy research communities.

Why partner with them

What sets them apart

INSA Rouen occupies a specific niche at the intersection of combustion physics, CFD simulation, and increasingly, machine learning — a combination that few academic groups in France bring to EU transport projects. Their consistent involvement in aeronautical combustion initiatives (SOPRANO, LOOPS) gives them direct industry relevance, while their recent work on hydrogen combustion and data-assisted modeling opens doors to the rapidly growing clean energy sector. For consortium builders, they offer strong numerical modeling capabilities without requiring a large budget allocation — their average EC funding is modest (~€280K), making them a cost-effective specialist partner.

Notable projects

Highlights from their portfolio

  • REDAFLOW
    Their only coordinated project, and the most recent — combines machine learning with CFD for turbulent reacting flows, signaling their future research direction.
  • LOOPS
    Directly targets low NOx and soot emissions in spinning combustion technology — high industrial relevance for aerospace engine design.
  • Green-Combustion
    Focuses on hydrogen combustion modeling, placing INSA Rouen at the frontier of clean fuel research for the energy transition.
Cross-sector capabilities
Energy — hydrogen combustion and clean fuel simulationManufacturing — surface roughness modeling for additive manufacturingDigital — machine-learning methods for physics simulationEnvironment — emission reduction modeling (NOx, soot, particulates)
Analysis note: With 6 projects and only 3 receiving direct EC funding, the profile is moderately supported. The keyword data is rich for recent projects but sparse for earlier ones (EUROfusion and SOPRANO lack keywords). The third-party roles in 2 projects limit insight into INSA Rouen's independent research agenda. The combustion and CFD focus is clearly established, but the machine-learning and hydrogen threads each rest on a single project.