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Characterization of flameless combustion in a model gas turbine combustor using a novel post-processing tool
RISE - Research Institutes of Sweden, Bioekonomi, ETC Energy Technology Center. KTH Royal Institute of Technology, Sweden.
RISE - Research Institutes of Sweden, Bioekonomi, ETC Energy Technology Center. Institute of Physical Metallurgy, Hungary.
KTH Royal Institute of Technology, Sweden.
2019 (engelsk)Inngår i: Combustion and Flame, ISSN 0010-2180, E-ISSN 1556-2921, Vol. 204, s. 356-367Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Flameless combustion is a very promising technology for the future gas turbines. It is clean and stable—without large oscillations, noise and flashback. To facilitate the adoption of this technology in gas turbines, advanced design tools are needed. In this paper, a recently developed unsupervised post-processing tool is used to analyze the large amount of high-dimensional data produced in a series of Large Eddy Simulations (LES) of a model gas turbine operating in flameless mode. Simulations are performed using Finite Rate Chemistry (FRC) combustion modeling and a detailed description of chemistry. The automatic post-processing reveals important features of the combustion process that are not easily recognizable by other methods, making it a complementary step for the already established FRC–LES approach, and a potential design tool for advanced combustion systems.

sted, utgiver, år, opplag, sider
Elsevier Inc. , 2019. Vol. 204, s. 356-367
Emneord [en]
Automatic post-processing, Finite Rate Chemistry, Flameless combustion, Implicit Large Eddy Simulation, t-SNE
HSV kategori
Identifikatorer
URN: urn:nbn:se:ri:diva-38353DOI: 10.1016/j.combustflame.2019.03.015Scopus ID: 2-s2.0-85063446363OAI: oai:DiVA.org:ri-38353DiVA, id: diva2:1314052
Merknad

Funding details: Energimyndigheten, EM 44110-1; Funding text 1: The financial support of the Swedish Energy Agency (Energimyndigheten) through the program “Computational Optimization of Gas Turbine Combustors Firing Biomass Fast Pyrolysis Oil” ( EM 44110-1 ) is greatly acknowledged. The simulations were run on LUNARC and HPC2N super-computing facilities within SNIC resource allocation.

Tilgjengelig fra: 2019-05-07 Laget: 2019-05-07 Sist oppdatert: 2019-05-07bibliografisk kontrollert

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