Welcome to MAGE research group at the G2ELab (Univ. Grenoble Alpes, Grenoble INP, CNRS).
Our scientific objectives are:
- To extend the modeling capabilities of electromagnetic devices and electrical systems
- To help in their expertise, their design and their energy management, with and for the users
- Various application fields: Transport, production, distribution, conversion & uses of electrical energy
- A coherence thanks to transverse scientific challenges and common and strong scientific culture
Research topics
Computational Electromagnetics
Development of high performance numerical models to simulate the behavior of electromagnetic components
Finite element and integral formulations, material models, homogenization methods, coupling methods, multi-physics couplings, high performance computing,
Multi-physics and multi-actors complex electrical systems
Development of methodologies the from design to the use of energy systems by integrating the human actor
Modeling and optimization of systems, design methods, interoperability issues (models, codes, data, services, actors), application to mechatronic systems, buildings and districts.
Equivalent electromagnetic sources identification
Study of low magnetic fields for the characterization of sources with challenges of reduction, control or exploitation of signatures
Low magnetic field metrology, leakage field models, inverse problem solving, naval and civil Applications
Optimisation and Inverse Problems
Collaborative Desing and Innovation
Experimental platform
Collaborations
2 Joined Laboratories with Altair Engineering and Naval Group
International: PoliTO, PoliMI, Univ. Padova, Univ. Liège, TU-Eindhoven, KU-Leuven, TU-Delft, NBNL, HUST, NTU Singapore,…
with a strong collaboration with Brasil (IRN Maxwell)
Companies: Schneider Electric, General Electric, EDF, SAFRAN, Airbus, SNCF, Valeo,….
recent projects
FlexRICAN: FLEXIBILITY IN RIs FOR GLOBAL CARBON NEUTRALITY
https://flexrican.eu/
Fine4Cast: New generation of tools for forecasting energy demand and renewable energy production on fine spatial and temporal scales
https://www.pepr-tase.fr/en/projet/fine4cast_en/
FlexTASE: Flexibility for Advanced Energy Systems Technologies
https://www.pepr-tase.fr/en/projet/flextase_en/
Contact
Our Team
Our Publications
Key words
- Computational electromagnetics
- multi-physics modeling
- multi-level modeling
- system modeling
- multi-energy modeling
- material models
- numerical simulation
- design by optimization
- optimization methods
- optimal energy management
- inverse problems
- modeling languages
- interoperability
- knowledge capitalization
- human actor interaction