(UKCTRF) UK Consortium on Turbulent Reacting Flows
Lead Research Organisation:
IMPERIAL COLLEGE LONDON
Department Name: Mechanical Engineering
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Publications
Xia Y.
(2017)
Simulating flame response to acoustic excitation for an industrial gas turbine combustor
in 24th International Congress on Sound and Vibration, ICSV 2017
Gong Y
(2021)
Numerical analysis of indirect noise generated by compositional inhomogeneities using large eddy simulation
in AIP Advances
Tang H
(2023)
On the effect of turbulent fluctuations on precipitation: A direct numerical simulation - population balance study
in Chemical Engineering Science
Jones W
(2017)
An investigation of a turbulent spray flame using Large Eddy Simulation with a stochastic breakup model
in Combustion and Flame
Franke L
(2017)
Tabulation of combustion chemistry via Artificial Neural Networks (ANNs): Methodology and application to LES-PDF simulation of Sydney flame L
in Combustion and Flame
Sewerin F
(2015)
A methodology for the integration of stiff chemical kinetics on GPUs
in Combustion and Flame
Bulat G
(2014)
NO and CO formation in an industrial gas-turbine combustion chamber using LES with the Eulerian sub-grid PDF method
in Combustion and Flame
Liu A
(2020)
Population balance modelling and laser diagnostic validation of soot particle evolution in laminar ethylene diffusion flames
in Combustion and Flame
Noh D
(2018)
Comparison of droplet evaporation models for a turbulent, non-swirling jet flame with a polydisperse droplet distribution
in Combustion and Flame
Severin F
(2018)
An LES-PBE-PDF approach for predicting the soot particle size distribution in turbulent flames'
in Combustion and Flame
| Description | This is a consortium utilising the HPC computer, Archer to study turbulent reacting flows. Since around 95% of current energy generation and transport is fuelled by the combustion of fossil fuels, a large proportion of which are, in future, likely to be be replaced by renewable fuels - a situation that is likely to remain for the foreseeable future - the subject has wide ranging and practically important applications. |
| Exploitation Route | Through publications in the archival scientific literature and via presentations at conferences and Symposia. |
| Sectors | Aerospace Defence and Marine Energy Transport |
| URL | Http://www.ukctrf.co.uk |
| Description | The stochastic fields method for solving the evolution equation for the joint pdf of the chemical species mass fractions needed to describe reaction in a turbulent flow has been adopted by Rolls-Royce Aero-engines and incorporated into their in-house Large Eddy simulation code PRECIS-UNS. THe method has also be used in conjunction with the in-house CFD code Boffin-LES by Siemens Industrial Gas Turbines and GE(Switzerland). The method provides an accurate means of accounting for turbulence-chemistry that is needed in the design of efficient low pollutant emissions gas turbine combustion chambers. |
| First Year Of Impact | 2016 |
| Sector | Aerospace, Defence and Marine,Energy |
| Impact Types | Economic |
| Description | Advanced Gas Turbine cycles for high efficiency and sustainable future conventional generation |
| Amount | £971,987 (GBP) |
| Funding ID | EP/M015300/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 05/2015 |
| End | 11/2018 |
| Description | Clear Skies: Dreamcode |
| Amount | £250,000 (GBP) |
| Funding ID | SP1-JTI-CS-2013-01-620143 |
| Organisation | European Commission |
| Sector | Public |
| Country | Belgium |
| Start | 11/2014 |
| End | 11/2016 |
| Description | LES of industrial gas turbines |
| Amount | £200,000 (GBP) |
| Organisation | Siemens AG |
| Sector | Private |
| Country | Germany |
| Start | 11/2011 |
| End | 10/2015 |
| Description | Combustion LES |
| Organisation | General Electric |
| Country | United States |
| Sector | Private |
| PI Contribution | Simulation of Gas Turbine Combustion Chambers |
| Collaborator Contribution | The provision of experimental results |
| Impact | Scientific publications |
| Start Year | 2015 |
| Description | Compressible LES |
| Organisation | Siemens AG |
| Department | Siemens Industrial Turbomachinery Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The development of a compressible LES method for simulatinf Therm-acoustic instabilities |
| Collaborator Contribution | The provision of measured data |
| Impact | Scientific publications |
| Start Year | 2015 |
| Description | Nano Particles in Turbulent Flow |
| Organisation | ETH Zurich |
| Country | Switzerland |
| Sector | Academic/University |
| PI Contribution | Simulations of turbulent flows laden with nano particles |
| Collaborator Contribution | A complementary experimental study is being undertaken |
| Impact | None to date |
| Start Year | 2019 |
| Description | Soot Formation |
| Organisation | Shanghai Jiao Tong University |
| Country | China |
| Sector | Academic/University |
| PI Contribution | Simulation of Soot formation in Turbulent Flames |
| Collaborator Contribution | A complementary study of soot formation is being undertaken |
| Impact | None to date |
| Start Year | 2018 |