Towards Data-Model Coupling For Monitoring Improvement In Hydrogen Refueling Stations

Universities and Institutes of France
December 16, 2022
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  • Organisation/Company: Grenoble INP; Gipsa-lab
  • Research Field: Computer science › Database management Engineering
  • Researcher Profile: First Stage Researcher (R1) Recognised Researcher (R2) Established Researcher (R3) Leading Researcher (R4)
  • Application Deadline: 16/12/2022 00:00 - Europe/Athens
  • Location: France › Grenoble
  • Type Of Contract: Temporary
  • Job Status: Full-time
  • 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:

  • Improved visualization of the actual operation of the stations (consistency of data with expected operation, representativeness...);
  • Optimization of available models by coupling with data (adjustment of parameters, tunings, structures...);
  • Implementation of monitoring tools (fault detection, isolation, monitoring strategy...).
  • Some references

  • N.H. Omdahl, Modeling of a Hydrogen Refueling Station, Master thesis, NTNU, 2014.
  • R. IMMEL et al, Development and Validation of a Numerical Thermal Simulation Model for Compressed Hydrogen Gas Storage Tanks, SAE International by University of Michigan, August 12, 2018.
  • T. Bourgeois et al, Evaluating the temperature inside a tank during a filling with highly-pressurized gas, International journal of hydrogen energy, volume 40, issue 25, pages 11748-11755.
  • T. Bourgeois et al., Optimization of hydrogen vehicle refuelling requirements, , International journal of hydrogen energy, volume 42, issue 19, pages 13789-13809
  • V. Ramasamya, E.S. Richardson, Thermal response of high-aspect-ratio hydrogen cylinders undergoing fast-filling, International Journal of Heat and Mass Transfer, Volume 160, 12017.
  • Funding category: Cifre

    PHD title: Doctorat de l'Université Grenoble Alpes - Spécialité Automatique- Productique

    PHD Country: France

    Offer 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
  • Organisation/Company: Grenoble INP; Gipsa-lab
  • Organisation Type: Large Company
  • Website: https: // www. gipsa-lab.grenoble-inp.fr/~gildas.besancon/
  • Country: France
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