Parameterization of the SAFT thermodynamic model using machine learning

The use of biomass appears as a promising alternative for the synthesis of a various families of strong value-added chemicals, which can be used in the manufacture of products. Product issued from the biomass are mainly composed of oxygenated molecules, but the models and methods traditionally used in the petrochemical industry have historically been developed to restore properties of hydrocarbons. The design of new manufacturing processes requires methods for rapid and accurate estimation of physicochemical properties of interest in the chemical industry.

Development of an eco-design methodology for electric motors

To reduce the significant impact of the transportation sector on the environment, developed countries worldwide have started a massive electrification of their car fleets with a high-volume production of the main components of the electric vehicle powertrain: the battery, the inverter, the electric motor, and the mechanical transmission elements. The electric motor is a central component of the powertrain, generally made of rare-earth magnets, copper, magnetic iron sheets (FeSi), aluminum and steel.

Development of a methode for joint comparative analysis of omics data (multi-strain/conditions): application to the filamentous fungus Trichoderma reesei

IFPEN conducts research to optimize biotechnological processes in the field of bio-based chemistry and biofuels. A significant part of these improvements is based on a better understanding of the microorganisms used with the help of systems biology. For this purpose, omics data are collected to represent the different regulatory layers of a cell according to given conditions. However, the processing of these data is usually done by stratum and hardly exploits the complementarity of the regulations.

Design of public policies encouraging low-carbon mobility and understanding of new travel behaviors: what data for what uses?

The environmental impact of the public policies implemented so far in the field of transport remains mixed, with GHG emissions from this sector still representing 30% of national emissions. In addition, some of these policies are the subject of strong mistrust on the part of citizens (e.g. the movement of yellow vests). Faced with this double observation, it is necessary to rethink the tools of public policies in the transportation sector. There cannot be an “efficient” energy and ecological transition without a real consideration of behaviors.

Towards the creation of a backcasting-oriented model of mobility systems: identification of surrogate models from detailed traffic simulations

An emerging approach is expected to change the way of designing and assessing future mobility of people and goods. Whether it will be more electrified, connected, automated, digitalized or not, it will depend on which targets we aim to reach at given time horizons: environmental, economic, societal, etc. In the new paradigm, these targets will be set first, then the most appropriate roadmap of policies and technologies needed will be established (“backcasting”), as opposed to the current approach where potential actions are assumed, then their impacts are “forecasted” and assessed.