Issue 53 of Science@ifpen - PHD PROJECTS AND YVES CHAUVIN PRIZE

Within the context of the energy transition, new bioprocesses are emerging as substitutes for processes using fossil resources. For example, Clostridium acetobutylicum is a microorganism capable of converting the large variety of sugars derived from lignocellulosic biomass into a raft of bio-based substances, via fermentation. This makes it a potential candidate for producing biofuels and/or chemical intermediates that can be used by industry....

In the wake zone located behind each wind turbine, wind velocity is reduced and turbulence increased. This results in a reduction in the lifespan of machines located downstream as well as a decrease in a windfarm’s overall electricity production. To limit these effects and help optimize the siting of turbines on windfarms, analytical wake models exist in the literature but they incorporate numerous simplifying hypotheses concerning wind turbines and their environment...

Permanent magnet synchronous motors (PMSM) are a reference technology for electric vehicle propulsion. However, their large-scale deployment is subject to the constraints associated with magnets: the capacity to obtain resources as well as the environmental challenges related to mining, recycling and refining. In addition, PMSMs often require flux-weakening1 strategies in order to operate at high speeds, which can result in energy losses...

While macroscopic models combined with experimental analysis of porosity are well established for geometrically simple pores, hierarchized and disordered microstructures defy existing frameworks and call into question conventional interpretations. We proposed a digital framework to help overcome this challenge, taking into account morphology, connectivity and pore size distribution...

IFPEN is a global leader in the development of catalysts and processes for clean fuel production. For these processes themselves to be eco-efficient1, it is necessary to optimize the coupling of catalysts with the operating conditions, as a function of the feedstocks used and the target specifications for the refined products. It is therefore useful to be able to draw on predictive models for the performance achieved, and machine learning can help improving these models...

Reactive fluid transport simulation has multiple applications - flows in porous media, combustion, process engineering - and requires thermodynamic equilibrium calculations (also knows as “flash” calculations). However, these calculations can take a long time and, as they are involved in large numbers in the simulations carried out, in practice they limit the latter to systems containing few chemical species or to restricted time and space scales...

In a porous geological structure, the flow of a geothermal fluid carries along solid particles for which the rock acts as a filter. The capture of these particles causes the permeability of the porous medium to gradually decrease, which can lead to a drastic reduction in injectivity and eventual failure of the industrial operation...