IFPEN’s researchers have been able to reduce the number of simulations and achieve optimal results by using more efficient methods: EGO (Efficient Global Optimization) and MADS (Mesh Adaptive Direct Search).
A collaboration between researchers from IFPEN (IFP School) and the Academy of Chinese Energy Strategy (CUP-Beijing) has enabled targeted studies to be carried out through the development of an optimization model and associated method.
Digital technologies are playing an increasingly important role in solving industrial problems. IFPEN forged a partnership with Inria. Five years later, we look back over this fruitful partnership.
Dr B Noetinger, editor-in-chief STET https://www.stet-review.org/, expert in transport modeling in disordered media
Benoît Noetinger graduated from the École Polytechnique in Paris, and holds a thesis at UPMC (now Sorbonne University) in liquid state physics, the work of which was carried out at the PMMH laboratory
Mickaele Le Ravalec holds a Ph.D. degree in rock physics from the University of Rennes (1995) and a HDR from the Louis Pasteur University of Strasbourg (2002). After a post-doctoral position in rock
Dr. Antonio Sciarretta (HDR, ASN) is a researcher at IFPEN since 2006.
Antonio Sciarretta received a Doctorate degree in thermal machines with a dissertation on engine modeling and control in 1999, and since then he has always worked at the intersection of these fields
Chemical Looping Combustion (CLC) is an airless combustion technology using oxygen carrier materials (OCM), which circulate between an oxidation and a reduction reaction zone. Separation into two
In order to optimize the use of very expensive installations, the development of industrial processes needs to take into account integration between units, both for developments relating to mature
Having access to increasingly precise and robust extrapolation models to be able to predict certain propertiesa remains a major challenge for chemical processes industry. For widely used models, be
Quang Huy Tran graduated from Mines ParisTech and completed his doctoral thesis in Applied Mathematics at IFPEN and Rice University (Texas) before returning to IFPEN as a research engineer
The rapid development of wind energy production depends, to a great extent, on improving its energy efficiency and its economic profitability. To maximize performance and operating life spans, the
The OQUAIDOa applied mathematics chair, launched in January 2016 and hosted by the École des Mines engineering school in Saint-Étienne, brings together academic and industrial partnersb to tackle