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“Floating Car Data” to improve air quality
Fundamental Research
News 31 March 2021

“Floating Car Data” to improve air quality

IFPEN’s teams have developed a tool that, using data provided by connected vehicles (Floating Car Data or FCD), makes it possible to evaluate the pollution emitted by characteristic driving behaviors and, ultimately, produce a detailed map of vehicle pollutant emissions for different sections of a region’s road network. 

Retraction of a liquid ligament in viscous and inertial regimes: research at IFPEN revisits theoretical predictions
Fundamental Research
News 08 December 2020

Retraction of a liquid ligament in viscous and inertial regimes: research at IFPEN revisits theoretical predictions

Having concluded that the Taylor-Culick velocity was only valid to evaluate the characteristic retraction time for a liquid in an inertial regime, researchers at IFPEN have proposed a velocity that is valid in a viscous regime. 

Individual page

Pierre MICHEL

Mobility modeling and analysis research engineer
Pierre Michel obtained in 2015 a PhD from Université d’Orléans for his thesis work on Hybrid Electric Vehicle energy management. After a post-doc at Argonne National Laboratory on Connected and
Issue 43 of Science@IFPEN
News in brief

A new numerical tool to simulate the interaction between wind farms and local meteorological conditions

The French long-term energy program is encouraging the growth of wind energy. In order to predict this energy production and attempt to optimize it, irrespective of the production site (sea, mountain), a better understanding of wind flow...
Issue 43 of Science@IFPEN
News in brief

The detection, at a lower cost, of ultrafine exhaust gas soot particles

To protect public health, fine particle emissions produced by IC engines have been regulated by the European Union since the 1990s. In order to comply with these standards, particle filters...
Issue 41 of Science@IFPEN
News in brief

Multiphase reactive flow simulation: developments and applications in the field of combustion (HDR 2015)

The scientific field concerned by my HDR research is the 3D numerical modeling of two-phase combustion, combining research on turbulent combustion and the preparation of the reactive mixture. Building
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Antonio SCIARRETTA

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
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Damien HUDEBINE

Research Engineer
Damien Hudebine obtained his degree in Chemical Engineering (ENSIC) in 1999 before completing his PhD in the kinetic modeling group of IFPEN in collaboration with ENS Lyon until 2002. He then joined
Issue 40 of Science@IFPEN
News in brief

Process efficiency: a matter of integration!

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
Issue 40 of Science@IFPEN
News in brief

Mix between kinetic and machine learning models

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
Issue 40 of Science@IFPEN
News in brief

In trickle bed reactor simulators, hydrodynamics count!

Improvements in chemical processes are regularly achieved as a result of the introduction of new internal geometries within reactors. Conventionally, fixed bed reactor models use an overly simple
Issue 40 of Science@IFPEN
News in brief

A world first for energy integration: heat and gas at every level

In partnership with Arol Energy, a new methanization-based biogas purification technology has been developed to extract methane (CH4) and inject it into the natural gas network. The process uses an