HPC4MP: Smart Partitioning for High Performance Computing of Multi-Physics Digital Twins
Particle Movement on a Biomass Furnace Grate System modeled using XDEM
Abstract
The requirements of today’s fiercely competitive markets require better products at shorter innovation cycles. Therefore, a truly new and disruptive virtual design paradigm is urgently needed for which the visionary objective is to advance high performance computing technology for smart virtual prototyping to investigate co-firing of critical fuels in an existing biomass furnace. The XDEM simulation environment allows creating a multi-physics digital twin of a biomass furnace representing the thermal conversion process of both the moving pellets bed and the freeboard.
In order to transfer these computationally intensive simulations into an environment for smart virtual prototyping with short production cycles, an innovative so-called overlapping partitioning for arbitrary multi-physics simulation domains is required. It decomposes the simulation domains of the moving fuel bed and the freeboard into overlapping partitions that combines a workload balance with minimal communication overhead between them. Hence, expensive and time-consuming physical prototyping is avoided and a large number of different parameters is easily investigated. In addition, the effect of isolated single parameters is now tracable while other parameters remain constant (ceteris paribus) which physical prototypes simply do not allow.
A thorough analysis of predicted results under various co-firing scenarios uncovers casaul and hidden realtionships that is otherwise not possible in an experimental framework. This newly gained knowledge serves as a basis for developing cutting-edge co-firing technology, is inexpensive and shortens the innovation cycles, which altogehter provides a strong advantage in a completive market.
Gas Phase Fluid Fields above the Particle Bed
Status: ONGOING
People
Principal Investigator: | Prof.-Dr.-Ing. B. Peters |
Post-Doctoral Researcher: | Dr. D.L. Louw |
Industry Partner: | LuxEnergie |
Funding
The research was funded through an FNR BRIDGES grant.