Evolution of Emission Species in an Aero-Engine Turbine Stator
Future energy and transport scenarios will still rely on gas turbines for energy conversion and propulsion. Gas turbines will play a major role in energy transition and therefore gas turbine performance should be improved, and their pollutant emissions decreased. Consequently, designers must have ac...
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MDPI AG
2021-01-01
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Online Access: | https://www.mdpi.com/2226-4310/8/1/11 |
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author | André A. V. Perpignan Stella Grazia Tomasello Arvind Gangoli Rao |
author_facet | André A. V. Perpignan Stella Grazia Tomasello Arvind Gangoli Rao |
author_sort | André A. V. Perpignan |
collection | DOAJ |
description | Future energy and transport scenarios will still rely on gas turbines for energy conversion and propulsion. Gas turbines will play a major role in energy transition and therefore gas turbine performance should be improved, and their pollutant emissions decreased. Consequently, designers must have accurate performance and emission prediction tools. Usually, pollutant emission prediction is limited to the combustion chamber as the composition at its outlet is considered to be “chemically frozen”. However, this assumption is not necessarily valid, especially with the increasing turbine inlet temperatures and operating pressures that benefit engine performance. In this work, Computational Fluid Dynamics (CFD) and Chemical Reactor Network (CRN) simulations were performed to analyse the progress of NO<sub>x</sub> and CO species through the high-pressure turbine stator. Simulations considering turbulence-chemistry interaction were performed and compared with the finite-rate chemistry approach. The results show that progression of some relevant reactions continues to take place within the turbine stator. For an estimated cruise condition, both NO and CO concentrations are predicted to increase along the stator, while for the take-off condition, NO increases and CO decreases within the stator vanes. Reaction rates and concentrations are correlated with the flow structure for the cruise condition, especially in the near-wall flow field and the blade wakes. However, at the higher operating pressure and temperature encountered during take-off, reactions seem to be dependent on the residence time rather than on the flow structures. The inclusion of turbulence-chemistry interaction significantly changes the results, while heat transfer on the blade walls is shown to have minor effects. |
first_indexed | 2024-03-10T13:30:36Z |
format | Article |
id | doaj.art-07dff28600c94a68b6eac96498413736 |
institution | Directory Open Access Journal |
issn | 2226-4310 |
language | English |
last_indexed | 2024-03-10T13:30:36Z |
publishDate | 2021-01-01 |
publisher | MDPI AG |
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series | Aerospace |
spelling | doaj.art-07dff28600c94a68b6eac964984137362023-11-21T08:03:47ZengMDPI AGAerospace2226-43102021-01-01811110.3390/aerospace8010011Evolution of Emission Species in an Aero-Engine Turbine StatorAndré A. V. Perpignan0Stella Grazia Tomasello1Arvind Gangoli Rao2Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, The NetherlandsDepartment of Industrial Engineering, University of Florence, Via di S. Marta 3, 50139 Firenze, ItalyFaculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, The NetherlandsFuture energy and transport scenarios will still rely on gas turbines for energy conversion and propulsion. Gas turbines will play a major role in energy transition and therefore gas turbine performance should be improved, and their pollutant emissions decreased. Consequently, designers must have accurate performance and emission prediction tools. Usually, pollutant emission prediction is limited to the combustion chamber as the composition at its outlet is considered to be “chemically frozen”. However, this assumption is not necessarily valid, especially with the increasing turbine inlet temperatures and operating pressures that benefit engine performance. In this work, Computational Fluid Dynamics (CFD) and Chemical Reactor Network (CRN) simulations were performed to analyse the progress of NO<sub>x</sub> and CO species through the high-pressure turbine stator. Simulations considering turbulence-chemistry interaction were performed and compared with the finite-rate chemistry approach. The results show that progression of some relevant reactions continues to take place within the turbine stator. For an estimated cruise condition, both NO and CO concentrations are predicted to increase along the stator, while for the take-off condition, NO increases and CO decreases within the stator vanes. Reaction rates and concentrations are correlated with the flow structure for the cruise condition, especially in the near-wall flow field and the blade wakes. However, at the higher operating pressure and temperature encountered during take-off, reactions seem to be dependent on the residence time rather than on the flow structures. The inclusion of turbulence-chemistry interaction significantly changes the results, while heat transfer on the blade walls is shown to have minor effects.https://www.mdpi.com/2226-4310/8/1/11NO<sub>x</sub> emissionshigh pressure turbinechemical reactor networkseddy dissipation concept |
spellingShingle | André A. V. Perpignan Stella Grazia Tomasello Arvind Gangoli Rao Evolution of Emission Species in an Aero-Engine Turbine Stator Aerospace NO<sub>x</sub> emissions high pressure turbine chemical reactor networks eddy dissipation concept |
title | Evolution of Emission Species in an Aero-Engine Turbine Stator |
title_full | Evolution of Emission Species in an Aero-Engine Turbine Stator |
title_fullStr | Evolution of Emission Species in an Aero-Engine Turbine Stator |
title_full_unstemmed | Evolution of Emission Species in an Aero-Engine Turbine Stator |
title_short | Evolution of Emission Species in an Aero-Engine Turbine Stator |
title_sort | evolution of emission species in an aero engine turbine stator |
topic | NO<sub>x</sub> emissions high pressure turbine chemical reactor networks eddy dissipation concept |
url | https://www.mdpi.com/2226-4310/8/1/11 |
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