Doctoral theses

An appealing way to improve lignocellulosic enzyme cocktails, mostly produced by the filamentous fungus Trichoderma reesei is its complementation with new enzymes retrieved from biodiversity.

Since the emergence of the electric power generation industry, the proper expansion of electricity mix is an essential part of the sustainable development.

In the context of combatting climate change, hydrogen can play a key role as an energy vector in diminishing CO2 emissions if produced from renewable sources. For its storage, one viable option is to store hydrogen under high-pressure, high-strength vessels in its molecular (H2) form.

To meet environmental commitments, France must regularly limit its greenhouse gas emissions to achieve carbon neutrality by 2050. For this purpose, the implementation of the hydrogen chain should allow to make a major contribution to the decarbonation of our heavy transport and industries.

The work targeted in this thesis is part of the current global context of reducing the energy footprint of mobility through innovative techniques.

The subject of plastics in the environment as a polluting and potentially toxic material for all living beings is today a major national, European, and international issue.

With the growing attractiveness of hydrogen (H2) as a fuel source for tomorrow's mobility, the issue of H2 storage will become central, especially for the medium size storage as for example in gas station for vehicles. The unique density and diffusivity properties of H2 at ambient conditions make storage very difficult.

Plastic recycling is gaining more and more attraction, not only to find a solution to fossil resources depletion, but also to prevent plastics from damaging environment and to limit health issues. As IFPEN intends to be a major actor of low carbon footprint circular economy, R&D work on plastic recycling is ongoing.

Currently, most numerical simulations performed at IFPEN are carried out in double precision. However, computing in mixed or reduced precision allows an acceleration of the execution, a decrease in energy consumption, and optimal use of the memory. 

In a context of energy crisis, health monitoring of wind turbines is a major economic issue. This monitoring allows costs to be reduced by anticipating maintenance operations and optimising operating time. Classical approaches propose to exploit the measurements of a few sensors placed on the wind turbine.