Grid Adaptive LES/DNS
Lead Research Organisation:
CRANFIELD UNIVERSITY
Department Name: Sch of Engineering
Abstract
Combustion is currently the most widely used method of energy conversion that powers modern industry and society. This energy is provided from the combustion of fossil fuels that are a global finite resource which is diminishing on a daily basis. Emissions from the combustion of fossil fuels can also lead to environmental problems such as global warming. In order to convert energy more efficiently and less harmfully to the environment, it is desirable to gain a thorough understanding of the combustion process. The development of real combustion applications generally requires a series of experiments to test a design or theory. With the rapid growth in computing resources and numerical techniques, computer simulation testing can also be used in the design process at a fraction of the cost compared with an equivalent experiment. In addition, computer simulations can provide a wider range of information on a proposed design in a shorter time frame by sweeping through different configurations simultaneously. Current methods such as Reynolds Averaged Navier Stokes (RANS), where the time fluctuating flow equations are solved in an average form, and Large Eddy Simulations (LES), where only the smaller scales of motion are modelled are being used to simulate industrial problems. However, both of these methods require models to provide additional information that is lost due to there limitations. The proposed work will take these computational simulations to the next level by developing a hybrid method that combines LES and Direct Numerical Simulation (DNS), where all scales of motion are computed explicitly without recourse to any modelling. To the investigators knowledge, this will be the first attempt to combine LES and DNS to simulate combustion, and then compare to a much more costly full DNS. The results from this work are expected to give a better understanding of large scale turbulent combustion problems without a loss in accuracy. Finally, this method could form the basis for a robust and accurate simulation method that combustion designers can use to explore new configurations with confidence to provide the next generation of energy cheaper, safer and more environmentally friendly.
Organisations
People |
ORCID iD |
Karl Jenkins (Principal Investigator) |
Publications
Dinesh K
(2010)
Large Eddy Simulation of a turbulent swirling coaxial jet
in Progress in Computational Fluid Dynamics, An International Journal
Dunstan T
(2009)
Flame surface density distribution in turbulent flame kernels during the early stages of growth
in Proceedings of the Combustion Institute
R Dinesh
(2008)
Large Eddy Simulation of Turbulent Flame Kernels
Description | Developed a tracking method to l set the interface position between the region for Direct Numerical Simulation (DNS) and the region for Large Eddy Simulatiuon (LES). Evaluated by presenting a moving surface that locates this interface. Adapted existing SENGA DNS code to compute cold flow using LES. Developed a dynamically adapting interface between Large Eddy Simulation (LES) and Direct Numerical Simulation (DNS). This can be evaluated in terms of a serial 3 dimensional grid that will show the two regions for the two numerical methods and how the LES and DNS information is exchanged at the interface for a propagating laminar and later turbulent flame kernel. Success from DNS to LES |
Exploitation Route | Designers in Industry will benefit from a potential robust numerical tool to simulate real problems with complex geometries. This will allow simulations to be undertaken with greater certainty especially for new combustor geometries. Producing a new approach to simulating large scale problems will also be of great interest to experimentalists in academic institutions and industrial R&D who require accurate validation methods as well as a powerful visualisation alternative. The work could bring considerable rewards both to academic and industrial beneficiaries in the turbulent combustion community. More generally, the ability to predict large scale combustion process with high accuracy techniques and with greater efficiency should lead to benefits for a whole host of applications requiring more efficient emissions. Producing a new approach to simulating large scale problems will also be of great interest to experimentalists in academic institutions and industrial R&D who require accurate validation methods as well as a powerful visualisation alternative. At a more fundamental level, modellers in academia will also benefit from accurate data with much higher Reynolds numbers approaching real applications. |
Sectors | Aerospace/ Defence and Marine,Chemicals,Energy,Environment |
Description | The modelling capability developed from this grant is being used to form the foundation for the UKTRFC collaboration. Industrial interest in this work is beginning to materialise. |
First Year Of Impact | 2016 |
Sector | Aerospace, Defence and Marine |