Computational fluid dynamics within energy conversion and food processing

Dnr:

SNIC 2016/34-37

Type:

SNAC Large

Principal Investigator:

Johan Revstedt

Affiliation:

Lunds universitet

Start Date:

2017-01-01

End Date:

2018-01-01

Primary Classification:

20306: Strömningsmekanik och akustik

Webpage:

http://www.fm.energy.lth.se/

Allocation

Abstract

This application is connected to our research activities within energy conversion related to rotating machinery (mainly wind turbines) as well as our activities related to the processing of liquid foods. Hence, the is a large span of challenges in these studies ranging simulating turbulent flows with very wide range of scales (atmospheric boundary layers) over fluid-structure interactions to rheologically complex multiphase flows. All of these are features that will require significant amounts of computational power to be solved with high accuracy.