The subject lies in the challenging area of data on the one hand, particularly in relation to dynamical systems, and that of energy transition on the other hand, particularly through the hydrogen resource. It is based on a collaboration between the McPhy group for the industrial context, and the Gipsa research center for the methodological framework.
As a specialist in hydrogen production and distribution equipments, McPhy contributes to the global deployment of zero-carbon hydrogen as a solution for the energy transition. With its comprehensive range of products for the industrial, mobility and energy sectors, McPhy offers its customers turnkey solutions adapted to their industrial feedstock supply, fuel cell vehicle recharging or storage and recovery of surplus electricity from renewable sources. Designer, manufacturer and integrator of hydrogen equipments since 2008, McPhy has three development, engineering and production centers in Europe (France, Italy, Germany). Its international subsidiaries ensure a wide commercial coverage for its innovative hydrogen solutions.
Gipsa-lab for its part is a CNRS research unit joint with Grenoble-INP (Grenoble Institute of Engineering and Management), University Grenoble Alpes, also having agreements with INRIA and Observatoire des Sciences de l'Univers de Grenoble. Gipsa-lab is a multidisciplinary research unit developing both basic and applied researches on complex signals and systems. It is internationally recognized for the research achieved in Automatic Control, Signal and Images processing, Speech and Cognition and develops projects in the strategic areas of energy, environment, communication, intelligent systems, Life and Health and language engineering. Thanks to its research activities, Gipsa-lab maintains a constant link with the economic environment through a strong partnership with companies.
Among its multiple activities in the hydrogen area, the McPhy group is notably present in the mobility sector, through the development and monitoring of hydrogen refueling stations for various types of vehicles.
In this context, McPhy has set up a consistent data collection system covering several aspects of station operation. The group has also developed simulation tools to represent some of these aspects.
The objective of the thesis is therefore to work on the coupling of these data and models in order to improve the monitoring of the stations.
To do this, different tools from Automatic Control and data analysis can be considered, to understand the different types of data collected, their links with the physics of the process, and their possible uses in the context of dynamical models.
The work will start with an overview of the functioning of a station (see for example 1-5) and the scientific problem under consideration (observation, identification, data assimilation...), and will continue according to the following targets:
Funding category: Cifre
PHD title: Doctorat de l'Université Grenoble Alpes - Spécialité Automatique- Productique
PHD Country: FranceOffer Requirements Specific Requirements
With a Master degree, or equivalent, the candidate must have a good expertise in data, dynamical modelling and control systems, with a particular interest in industrial applications, and skills both in methodologies and simulation.Contact Information