Signal processing/Data science

[ DIGITALIZATION AND IA - 1/2 ] The digitalization of activities is, in many respects, a major step forward that IFPEN is committed to rolling out for the benefit of its R&I. It consists in integrating innovative digital technologies to improve the efficiency, precision and productivity of our activities. It also involves integrating promising applications in generative artificial intelligence (AI).

[ Process control and online analysis - 2/2 ] Plastics recycling is both a major environmental challenge and an emerging industrial sector for which IFPEN mobilizes its expertise and know-how in the field of hydrocarbon refining. From the point of view of recyclability, a significant feature of these new material flows is their high level of variability, both in terms of their composition (types of polymers, additives, mixed textiles, etc.) and their physical nature (multilayer plastics, reverse side/right side fabrics, etc.), and indeed sorting errors. It is therefore essential to develop continuous analyses in order to determine the quality of the flow to to be processed, based on the relevant properties of the materials contained.

[ DIGITALIZATION AND IA - 2/2 ] One of IFPEN's main areas of research concerns processes and catalysts for the production of bio-based fuels. This is reflected in a large number of experimental projects, the results of which generate knowledge that is then harnessed to develop models. However, this modeling requires the acquisition of large sets of experimental data, which are costly in terms of both time and resources.

Coastal systems such as deltas are vulnerable to sea-level rise and erosion. The stability of deltas depends on the sedimentary input produced in the watershed, which is strongly impacted by climatic and anthropogenic factors, whose variations and increasing pressure lead to problems of resource management (aquifers) and land-use planning (bank instability, flood management, etc.). In order to predict the impact of different environmental change scenarios and thus enable the implementation of appropriate local policies, it is essential to have modeling tools capable of integrating the various hydroclimatic and anthropogenic parameters and their temporal evolution...

IFPEN is a global leader in the development of fossil feedstocks hydrotreatinga for clean fuel production. Processes from the same family now apply to a broader diversity of feedstocks: plastic and tire pyrolysis oil, in the context of chemical recycling, vegetable oils for biofuel production, etc. For these processes themselves to be eco-efficientb, beyond the targeted environmental benefit, their operating conditions need to be optimized by the use of kinetic or hybrid modelsc, as a function of the feedstocks employed and the specifications sought for the target products...

Urban road traffic is a significant source of pollutant emissions that impacts air quality. Being able to predict the dispersion of these emissions is of major importance for evaluating real exposure and planning traffic flows. To this end, a PhD research project proposed a modeling chain making it possible to simulate highly turbulent flows on a local urban scale and obtain two-dimensional spatial maps of pollutant concentration...

Data from NIRS are processed mathematically, via chemometric approaches, generally using a Partial Least Squares (PLS)-type model. This linear methodology is aimed at establishing a statistical relationship, represented by the maximum covariance, between an explanatory variable X and a response variable y. It has been successfully used at IFPEN to predict the properties of oil products and, in recent years, it has mirrored the evolution of new energy technologies (NET)...

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...