Session: 04-18 Combustion Modeling VI

Paper Number: 122041

122041 - GPU Accelerated LES-FGM Modelling for Industrial Combustion Applications 

Due to the ever-increasing use of Large Eddy Simulation (LES) for assessing gas turbine combustor flow and mixing fields, flame position and flame dynamics, methods to reduce the computational costs of such simulations are desirable. One such method to achieve this is to utilize advanced High Performance Computing (HPC) architectures such as General Purpose Graphical Processing Units (GPGPUs).

In this paper, the Simcenter STAR-CCM+ ® solver, with the ability to run LES and flamelet based combustion models using GPGPUs, is used to assess the benefits of using GPGPU architecture compared to traditional Central Processing Units (CPUs). LES simulations using the Flamelet Generated Manifold (FGM) combustion model are assessed across a series of test cases (diffusion jet flame, pressurised annual combustor and a swirl stabilised an industrial gas turbine Dry Low Emission (DLE) combustor).

Each numerical simulation using GPGPUs and CPUs is compared in terms of solution similarity, accuracy in relation to experimental data, computational cost and power consumption. The computational performance of the FGM model with GPGPU is quantified through comparison to a non-reacting simulation on the same computational grid for the DLE combustor test case.

It is demonstrated that the use of GPGPU architectures can result in high-fidelity combustion modelling within the required turn-around times of engineering design cycles whilst maintaining a similar solution and level of accuracy as a traditional CPU based simulation.

Presenting Author: Liam Mcmanus Siemens Digital Industries Software

Presenting Author Biography: Liam graduated from the University of Glasgow in 2015 with a MEng in Aeronautical Engineering. He went on to work for Rolls-Royce for two years before joining Siemens Digital Industries Software.

Here he worked as an Application Engineer supporting customers in combustion and turbomachinery applications using the Simcenter STAR-CCM+ CFD tool. In August 2021 he joined the Physics team for Technical Product Management. Responsible for helping further develop Reacting Flows functionality.

Authors:

Liam Mcmanus Siemens Digital Industries Software
Graham Goldin Siemens Digital Industries Software
Yongzhe Zhang Siemens Digital Industries Software
Ivana Veljkovic Siemens Digital Industries Software
Suresh Sadasivuni Siemens Energy Industrial Turbomachinery Ltd
Kexin Liu Siemens Energy Industrial Turbomachinery Ltd