Doctoral theses

IFPEN conducts research to optimize biotechnological processes in the field of bio-based chemistry and biofuels. A significant part of these improvements is based on a better understanding of the microorganisms used with the help of systems biology.

Catastrophic floods and sustained droughts will be increasing according to the IPCC 2018 report. It is uncertain how this change will impact flow pathways and sediment yield within the watersheds of major rivers during hydrological extremes.

Pour répondre aux défis du domaine de l’énergie, IFPEN propose aujourd’hui un procédé qui permet de produire de l’éthanol à partir de biomasse lignocellulosique.

To overcome challenges related to the energy area, IFP Energies nouvelles is now proposing a process to produce ethanol from lignocellulosic biomass. A cocktail of enzymes produced by the filamentous fungus Trichoderma reesei is used during the enzymatic hydrolysis step of this process.

The employment of high fidelity simulators in industrial application still remain nowadays limited by their computational cost, in particular for the optimization of structure design and reliability assessment. To overcome this situation, several reduced order modeling (ROM) techniques have been developed.

Electricity markets with high proportions of intermittent Renewable Energy Sources (RES) generation can experience periods of excess supply, resulting in near-zero and possibly negative prices, or energy spilling due to surplus.

In France and Europe, deep decarbonization scenarios aiming to achieve carbon neutrality by 2050 rely heavily on direct electrical technologies for thermal and thermodynamic uses of industrial processes. Manufacturing accounts for a quarter of France’s CO2 emissions. There is large number of uncertainties about this transition.

The simulation of reactive transport in porous media is a major challenge for many IFPEN projects, especially in relation to new underground energies such as CO2 sequestration, geothermal energy and hydrogen storage.

The electric vehicle market is today a fast growing market. This induces the development of characterization techniques for the study of batteries materials.

Economical, geopolitical and social trends, apart from the well-posed environmental concerns, are possible to precipitate legislative actions for the partial substitution of Diesel by cleaner fuels in the imminent future. Besides, the already stringiest emission legislation referring to Diesel engines, e.g.

Permanent magnet synchronous machines are frequently used in transport electrification applications because of their high efficiency. The control of these machines requires knowing with precision the speed and the position of the rotor. Position sensors, habitually used, are efficient but present some inconvenient.

In order to gain more insight into physical processes, IFPEN develops or uses a large number of numerical simulators. These numerical models are useful to reproduce phenomena in specific conditions and thus to predict and explore the system response under various conditions.