Numerical methods and optimization

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 OQUAIDO a applied mathematics chair, launched in January 2016 and hosted by the École des Mines engineering school in Saint-Étienne, brings together academic and industrial partners b to tackle

THESIS BY PAULINE SIMONNIN

Proposing innovative technological products often requires recourse to simulation approaches in order to boost our capacity to evaluate original concepts. This is particularly true in the field of

Floating wind turbine technologies, such as those co-developed by SBM and IFPEN a , are designed to optimize the recovery of offshore wind energy. Optimization solutions are currently being sought to

Natural underground fractures in rocks provide fluids with preferential flow pathways. The resulting global permeability is exploited for energy production ( geothermal energy and oil and gas recovery

IFPEN has been carrying out research in the field of floating wind turbines for a number of years, developing, for this purpose, the DeepLines Wind TM simulation tool, in partnership with Principia (1

In the field of numerical simulation, a sufficiently accurate representation of the data associated with physical models requires, in general, a very large numerical grid that, despite existing

Multiphase mixture (gas and liquid) flow simulation in porous media has a variety of applications in the field of geosciences a but also in the fields of engineering and chemical processes. In