Doctoral theses

The global production of plastics is growing exponentially and consequently is the plastic pollution in the environment. At IFP Energies Nouvelles, we develop models that simulate the transport, deposition, and erosion of plastics in the environment.

Context and objectives
During laundry washing, fibers are inevitably shed from textiles and are carried into the wastewater. These fibers, typically around 10 μm in diameter, vary in composition
- mainly polyester and cotton

The energy transition towards renewable sources is a major societal challenge. Optimizing wind farm systems is crucial to maximize efficiency while reducing component wear and tear. However, control algorithms for these systems are often computationally intensive and hard to execute in real-time.

Recycling plastics is one of the main ways of combating the impact of human activity on the environment. To improve the circularity of these materials, IFPEN is working on industrial solutions involving the design and development of new plastic transformation processes for recycling.

Textile recycling is an essential initiative to reduce waste and mitigate the environmental impact of the fashion industry. The process involves the collection of used garments, which are then sorted, cleaned and converted into new materials or repurposed products.

The thesis aims to study the energy transition’s impact on water resources in the light of the projected increase in global metal demand.

IFP Energies nouvelles (IFPEN) offers a PhD opportunity in the field of Non-Intrusive Load Monitoring (NILM) applied to industrial environments. The project aims to develop an innovative method using Convolutional Neural Networks (CNN) to enhance the accuracy of device energy signature detection.

Considering the sources of uncertainty in system design is essential in IFPEN applications for sustainable energy mix: e.g. to achieve the expected performance levels for an electric motor, for example, or for the reliability of a wind turbine.

Catalytic processes play a key role in many industries, and the optimization of these systems remains a major challenge. Combining the exceptional performance of homogeneous catalysis with the ease of implementation of heterogeneous catalysis is a major challenge.

Deciphering runaway mechanisms in Lithium-ion batteries by in mortem spectroscopic approaches 

Currently, most industrial H₂ is derived from natural gas and oil, emitting significant CO₂. “Green H₂” represents only 1% of production and is mainly produced via water splitting using scarce and expensive noble metal catalysts like Pt, which have a high carbon footprint.

With the emergence of new numerical schemes based on general meshes, new possibilities arise for meshing complex geological environments and thus tackling new challenges for the energy transition, namely CO2 storage and deep geothermal energy.