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Multi-Dimensional Flamelet Modelling for the LES of Pulverised Coal Flames

Multi-Dimensional Flamelet Modelling for the LES of Pulverised Coal Flames
粉煤火焰 LES 的多维小火焰模型
批准号:
238057103
负责人:
Professor Dr. Christian Hasse
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2013
资助国家:
德国
项目状态:
已结题
起止时间:
2012-12-31 至 2021-12-31

项目摘要

项目成果

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中文摘要
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英文摘要
The primary objective of the proposed project is the development of multi-dimensional flamelet models for large-eddy simulation (LES) of solid fuel combustion. The project is composed of (a) the development of the flamelet model itself, (b) a priori simulation and validation by direct numerical simulation (DNS) and (c) a posteriori application of the flamelet method as a sub-grid model for LES. The second funding period will be used to improve the existing model (as developed during the first funding period) with respect to two technically highly relevant aspects. We will first consider cases with exhaust gas recirculation (EGR) and develop a flamelet-model that accounts for mixing between streams that are characterized by different reaction progress as would be typical for EGR. Then, the existing flamelet model will be extended to accurately capture the prediction of acidifying pollutants (NOx and SOx) and their precursors. This requires - as a precondition - a detailed approximation of the pyrolysis of all nitrogen and sulphur containing fuel components, and this will be achieved by the implementation of the well-established PoliMi-approach for the kinetics of the solid fuel conversion process. The final outcome of the second funding period shall be a validated, multi-dimensional flamelet-LES model for processes with EGR and pollutant formation that promises improved predictions when compared to existing RANS based solutions.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.combustflame.2019.12.028
发表时间: 2020-01
期刊: Combustion and Flame
影响因子: 4.4
作者: [X. Wen;M. Rieth;A. Scholtissek;O. Stein;Haiou Wang;K. Luo;A. Kronenburg;Jianren Fan;C. Hasse]
通讯作者: X. Wen;M. Rieth;A. Scholtissek;O. Stein;Haiou Wang;K. Luo;A. Kronenburg;Jianren Fan;C. Hasse
DOI: 10.1016/j.proci.2020.06.317
发表时间: 2020-09
期刊:
影响因子: --
作者: [X. Wen;A. Shamooni;O. Stein;L. Cai;A. Kronenburg;H. Pitsch;A. Kempf;C. Hasse]
通讯作者: X. Wen;A. Shamooni;O. Stein;L. Cai;A. Kronenburg;H. Pitsch;A. Kempf;C. Hasse
DOI: 10.1021/acs.energyfuels.0c03477
发表时间: 2021-02
期刊: Energy & Fuels
影响因子: 5.3
作者: [D. Meller;Timo Lipkowicz;M. Rieth;O. Stein;A. Kronenburg;C. Hasse;Achim Kempf]
通讯作者: D. Meller;Timo Lipkowicz;M. Rieth;O. Stein;A. Kronenburg;C. Hasse;Achim Kempf
DOI: 10.1016/j.fuel.2020.119998
发表时间: 2021-05
期刊: Fuel
影响因子: 7.4
作者: [A. Shamooni;P. Debiagi;B. Wang;T. D. Luu;O. Stein;A. Kronenburg;G. Bagheri;A. Stagni;A. Frassoldati;T. Faravelli;Achim Kempf;X. Wen;C. Hasse]
通讯作者: A. Shamooni;P. Debiagi;B. Wang;T. D. Luu;O. Stein;A. Kronenburg;G. Bagheri;A. Stagni;A. Frassoldati;T. Faravelli;Achim Kempf;X. Wen;C. Hasse
Forced ignition in turbulent mixtures of sufficiently large Lewis numbers
Numerical investigation and cause-and-effect analysis of cyclic fluctuations and their effect on auto-ignition in hydrogen combustion
Curvature effects in laminar and turbulent non-premixed combustion
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Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis