Digital Science and Technology

Coupling methods and numerical reductions to accelerate simulations of CO2 or H2 underground storages

Numerical simulation is essential to model flow in porous media and in particular to study underground storages of CO2 or H2. It indeed allows one to test different scenarii by simulating coupled physical mechanisms stemming from various domains (geology, geochemistry, flow and soil mechanics...)
The costs of the calculations can however be quite large. 

Estimation of instantaneous pollutant emissions (and energy consumption) from road transportation through coupling mesoscopic traffic modeling and speed profile generation

Estimating traffic-related energy consumption and pollutant emissions is a complex problem that is relevant for a wide range of problems, from planning to operations. In particular, energy efficiency and pollution metrics play a fundamental role in the environmental impact assessment of new technologies, such as smart cities or connected, cooperative, and autonomous mobility, in order to evaluate new algorithms or the impact of upcoming products.

High order scheme development using a Cartesian AMR solver for Large Eddy Simulation on Electric motor

Automotive industry is moving fast to offer hybrid and full electric vehicles in order to reduce the greenhouse gas emissions and pollutants.  Then electric motors may be considered as one of the most important device in the next emerging vehicle architecture. Electric motor have high operating efficiency, considerable heat is generated based on required operating torque and speed. Thus, an efficient motor cooling system is needed to maintain the temperature within a prescribed range.

Sensitivity analysis for optimization problems under uncertainties

Among IFPEN applications, finding the optimal configuration of the inputs of a model leading to the best admissible performance appears in the design of complex systems such as electric motors or floating wind turbines. Among the numerous inputs of this problem, a certain number is defined as uncertain or random, such as wind information or the characteristics of a material that is poorly controlled and subject to a certain tolerance. 

Large-Eddy simulation of lean direct injection H2 combustion

With the reduction of hydrocarbon resources and increasingly stringent standards to deal with the problem of climate change, the development of clean-up internal combustion engines constitutes a major technical challenge. The use of hydrogen is considered a promising alternative for vehicles. Two main options are possible. The most studied is the fuel cell, which is particularly attractive for its potential efficiency and its emissions (only water vapour), but it is less advantageous in terms of cost and durability.