Author: Niclas Jansson, KTH Understanding the complex physics of wall-bounded turbulent flows is of utmost importance, considering the presence of this type of flows in various engineering applications. To this end, the use of high-fidelity approaches such as DNS (Direct Numerical Simulation) and LES (Large Eddy Simulation) has proven to be advantageous. There are, however, at least two main challenges that these approaches have to deal with.
The first is the high computational cost imposed by the requirement of accurately resolving the near-wall region. As a result of the large growth rate of the cost with flow Reynolds (Re) numbers, scale-resolving approaches for many industrial applications are expected to be still out of reach over the future couple of decades, see . Despite this, in moderate range of Re-number, scale-resolving approaches can be successfully employed for complex flows, thanks to the development of the HPC technologies and availability of techniques such as AMR (adaptive mesh refinement)  for efficient computing.
The design of the car of the future requires going over the usual RANS approach, since it fails to predict with an acceptable prediction accuracy features like transitional flows, instabilities, noise gneration, combustion efficiency. This in turn requires exascale systems, to sustain more high-fidelity simulations techniques, like LES or DES. EXCELLERAT paves the way to this transition.
Author: Gabriel Staffelbach, CERFACS On June 11th, 2019 In Norway, a hydrogen refuelling station exploded. The whole hydrogen refueling station network had to be shut down. Toyota and Hyundai are both halting fuel cell sales in Norway. Elektrek – Hydrogen Station expoldes
Author: Janik Schüssler, SSC One part of EXCELLERAT’s vision is to provide the engineering community with easy access to relevant services and knowledge around high performance computing. The keyword here is ‘Access’.
Author: Nick Brown, EPCC Accelerating cloud physics and atmospheric models using GPUs, KNLs and FPGAs
The Met Office NERC Cloud model (MONC) is an atmospheric model used throughout the weather and climate community to study clouds and turbulent flows. This is often coupled with the CASIM microphysics model, which provides the capability to investigate interactions at the millimetre scale and study the formation and development of moisture. One of the main targets of these models is the problem of fog, which is very hard to model due to the high resolution required – for context the main UK weather forecast resolves to 1km, whereas the fog problem requires 1metre or less. Continue reading “Preparing Cloud Physics for Exascale”
Author: Veronika Scheuer, Fraunhofer SCAI A further increase in the performance of supercomputers is expected over the next few years. So-called exascale computers will be able to deliver more precise simulations. This leads to considerably more data. Fraunhofer SCAI develops efficient data analysis methods for this purpose, which provide the engineer with detailed insights into the complex technical contexts. Continue reading “New analysis methods facilitate the evaluation of complex engineering data”
Author: Lena Bühler, HLRS High-performance computing (HPC) specialists are looking forward to the technological improvements that should arrive in the coming years as supercomputers approach the exascale. New approaches in hardware design (including new processors and high-bandwidth memory) and in application development (for example, code parallelization and data processing) will expand the power of supercomputing and therefore make it possible to solve new kinds of complex problems. Continue reading “EXCELLERAT to Bring HPC Applications to Engineering Industry”
Current practice in the design of hydro-power plants is to determine empirically the most suitable design in a series of time-consuming experiments. However, SMEs in this sector have to face private and public tenders to sell their turbines in both national and global markets, where the competition is very strong and the development time is very short. The challenge facing Zeco was therefore to improve their design processes to remain competitive. Continue reading “EU-Project helps Engineering SME Improve Competitive Position”
There’s no getting around High Performance Computing (HPC) for RECOM Services, a Stuttgart-based small and medium-sized enterprise (SME) for computational process optimization and problem analysis in industrial combustion. Their specifically developed 3D-simulationssoftware RECOM-AIOLOS is able to illustrate combustion processes in virtual reality without disturbing the ongoing operation. Naturally, both engineering and HPC know-how is needed in order to succeed. Continue reading “HPC helps to make combustion plants safe and cost-efficient”