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Prediction of Combustion and Heat Release Rates in Non-Premixed Syngas Jet Flames Using Finite-Rate Scale Similarity Based Combustion Models

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  • Ali Shamooni

    (CRECK Modeling Lab, Department of Chemistry, Materials, and Chemical Engineering, Politecnico di Milano, 20133 Milano, Italy
    Energy and Power Plant Technology Department, Technische Universität Darmstadt, 64287 Darmstadt, Germany)

  • Alberto Cuoci

    (CRECK Modeling Lab, Department of Chemistry, Materials, and Chemical Engineering, Politecnico di Milano, 20133 Milano, Italy)

  • Tiziano Faravelli

    (CRECK Modeling Lab, Department of Chemistry, Materials, and Chemical Engineering, Politecnico di Milano, 20133 Milano, Italy)

  • Amsini Sadiki

    (Energy and Power Plant Technology Department, Technische Universität Darmstadt, 64287 Darmstadt, Germany
    Laboratoire de Genies des Procedes et Thermodynamique, Institut Superieur des Sciences et Techniques Appliquees, Ndolo 6534 Kinshasa, RD Congo)

Abstract

Generating energy from combustion is prone to pollutant formation. In energy systems working under non-premixed combustion mode, rapid mixing is required to increase the heat release rates. However, local extinction and re-ignition may occur, resulting from strong turbulence–chemistry interaction, especially when rates of mixing exceed combustion rates, causing harmful emissions and flame instability. Since the physical mechanisms for such processes are not well understood, there are not yet combustion models in large eddy simulation (LES) context capable of accurately predicting them. In the present study, finite-rate scale similarity (SS) combustion models were applied to evaluate both heat release and combustion rates. The performance of three SS models was a priori assessed based on the direct numerical simulation of a temporally evolving syngas jet flame experiencing high level of local extinction and re-ignition. The results show that SS models following the Bardina’s “grid filtering” approach (A and B) have lower errors than the model based on the Germano’s “test filtering” approach (C), in terms of mean, root mean square (RMS), and local errors. In mean, both Bardina’s based models capture well the filtered combustion and heat release rates. Locally, Model A captures better major species, while Model B retrieves radicals more accurately.

Suggested Citation

  • Ali Shamooni & Alberto Cuoci & Tiziano Faravelli & Amsini Sadiki, 2018. "Prediction of Combustion and Heat Release Rates in Non-Premixed Syngas Jet Flames Using Finite-Rate Scale Similarity Based Combustion Models," Energies, MDPI, vol. 11(9), pages 1-20, September.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2464-:d:170245
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    References listed on IDEAS

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    1. Markus Bösenhofer & Eva-Maria Wartha & Christian Jordan & Michael Harasek, 2018. "The Eddy Dissipation Concept—Analysis of Different Fine Structure Treatments for Classical Combustion," Energies, MDPI, vol. 11(7), pages 1-21, July.
    2. Li, Zhiyi & Cuoci, Alberto & Sadiki, Amsini & Parente, Alessandro, 2017. "Comprehensive numerical study of the Adelaide Jet in Hot-Coflow burner by means of RANS and detailed chemistry," Energy, Elsevier, vol. 139(C), pages 555-570.
    3. Angelo Minotti & Enrico Sciubba, 2010. "LES of a Meso Combustion Chamber with a Detailed Chemistry Model: Comparison between the Flamelet and EDC Models," Energies, MDPI, vol. 3(12), pages 1-17, December.
    4. Li, Zhiyi & Ferrarotti, Marco & Cuoci, Alberto & Parente, Alessandro, 2018. "Finite-rate chemistry modelling of non-conventional combustion regimes using a Partially-Stirred Reactor closure: Combustion model formulation and implementation details," Applied Energy, Elsevier, vol. 225(C), pages 637-655.
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