Modeling and Simulation of Pollutant Formation in Gas Turbines
燃气轮机污染物形成的建模与仿真
基本信息
- 批准号:247247556
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Grants
- 财政年份:2014
- 资助国家:德国
- 起止时间:2013-12-31 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
For the development of gas turbine engines, pollutant formation during combustion plays a significant role. Due to increasingly stringent emission limits, further improvements and optimization with respect to emissions is required. Numerical simulations can contribute to cost reduction and acceleration of this development process. However, regarding pollutant emissions, a lack in the predictive quality of state-of-the-art combustion models often limits the usefulness of numerical results. The goal of the proposed research project is therefore the development, validation, and application of simulation models, which can provide reliable predictions of pollutant emissions in gas turbine combustors. In order to reach this goal, an integrated modeling approach is proposed, which combines Large-Eddy Simulations (LES) with the use of combustion and emission models that are based on detailed chemistry. In coordination with the project partners of the FVV, the project has been subdivided into two work packages in order to address the different aspects of pollutant emissions in the development of gas turbine combustors. In aero engines, soot emissions constitute a great challenge, while in stationary gas turbines, the increase of CO emissions at part load poses limitations for the development of load-flexible systems. During the first two years of the project, an emission model for CO was developed for laminar combustion. It accounts for the change in the timescales of the CO production and consumption processes under part load conditions and decouples these processes from the remaining part of the combustion model. For soot emissions, the focus was on the statistical treatment of the soot Number Density Function. Using a novel quadrature-based moment method, especially soot oxidation could be described more accurately. In the second phase of the project, the focus will be on the interaction of turbulence and pollutant formation. To this end, Direct Numerical Simulations (DNS) will be performed for different configurations, which represent the combustion processes and pollutant formation in stationary gas turbines as well as in aero engines. The resulting data will be systematically analyzed using the Optimal Estimator method. Based on the findings obtained regarding the pollutant/turbulence interactions, both pollutant models will be formulated for turbulent combustion in the context of LES. Toward the end of the project, all model components from both the previous and the next project phases will be integrated into an existing Multi-Regime combustion model. This integrated model will be applied to a model combustor as well as a real aero engine.
为了开发燃气轮机发动机,燃烧过程中的污染物形成起着重要作用。由于排放限制越来越严格,需要对排放的进一步改进和优化。数值模拟可以导致此开发过程的成本降低和加速。但是,关于污染物的排放,最先进燃烧模型的预测质量的缺乏通常会限制数值结果的有用性。因此,拟议的研究项目的目的是模拟模型的开发,验证和应用,可以为燃气轮机燃烧器的污染物排放提供可靠的预测。为了实现这一目标,提出了一种集成的建模方法,该方法将大型模拟(LES)与使用基于详细化学的燃烧和发射模型相结合。在与FVV项目合作伙伴的协调下,该项目已被细分为两个工作包,以解决燃气轮机燃烧器发展中污染物排放的不同方面。在Aero发动机中,烟灰排放构成了一个巨大的挑战,而在固定的燃气轮机中,零件负载下的CO排放量增加构成了负载富足系统的开发限制。在项目的前两年中,为层流燃烧开发了CO的发射模型。它解释了在部分负载条件下CO生产和消费过程的时间尺度的变化,并将这些过程与燃烧模型的其余部分分解。对于烟灰排放,重点是烟灰数密度函数的统计处理。使用一种新型基于正交的矩方法,尤其是烟灰氧化,可以更准确地描述。在项目的第二阶段,重点将放在湍流和污染物形成的相互作用上。为此,将对不同的配置进行直接数值模拟(DNS),该配置代表固定燃气轮机以及航空发动机中的燃烧过程和污染物形成。最佳估计方法将系统分析所得的数据。基于有关污染物/湍流相互作用的发现,在LES的背景下,这两个污染物模型均应用于湍流燃烧。在项目结束时,上一个项目阶段和下一个项目阶段的所有模型组件都将集成到现有的多政权燃烧模型中。该集成的模型将应用于模型燃烧器以及真实的Aero发动机。
项目成果
期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
DNS-driven analysis of the Flamelet/Progress Variable model assumptions on soot inception, growth, and oxidation in turbulent flames
- DOI:10.1016/j.combustflame.2020.01.012
- 发表时间:2020-04
- 期刊:
- 影响因子:4.4
- 作者:Achim Wick;A. Attili;F. Bisetti;H. Pitsch
- 通讯作者:Achim Wick;A. Attili;F. Bisetti;H. Pitsch
Numerically accurate computational techniques for optimal estimator analyses of multi-parameter models
用于多参数模型最优估计分析的数值精确计算技术
- DOI:10.1080/13647830.2018.1424353
- 发表时间:2018
- 期刊:
- 影响因子:1.3
- 作者:L. Berger;K. Kleinheinz;A. Attili;F. Bisetti;H. Pitsch;M. E. Mueller
- 通讯作者:M. E. Mueller
Experimental and numerical study of soot formation in counterflow diffusion flames of gasoline surrogate components
- DOI:10.1016/j.combustflame.2019.08.013
- 发表时间:2019-12
- 期刊:
- 影响因子:0
- 作者:S. Kruse;Achim Wick;J. Beeckmann;H. Pitsch;P. Medwell
- 通讯作者:S. Kruse;Achim Wick;J. Beeckmann;H. Pitsch;P. Medwell
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Professor Dr.-Ing. Heinz Pitsch其他文献
Professor Dr.-Ing. Heinz Pitsch的其他文献
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{{ truncateString('Professor Dr.-Ing. Heinz Pitsch', 18)}}的其他基金
Investigation and modeling of the early flame kernel development in hydrogen spark-ignition engines
氢火花点火发动机早期火焰核心发展的研究和建模
- 批准号:
422970818 - 财政年份:2019
- 资助金额:
-- - 项目类别:
Research Units
Simulations and Modeling of Turbulent Combustion Using Fuel Mixtures with High Hydrogen Content
使用高氢含量燃料混合物的湍流燃烧模拟和建模
- 批准号:
277815585 - 财政年份:2016
- 资助金额:
-- - 项目类别:
Research Grants
Numerical investigation and theoretical description of flame propagation of unsaturated hydrofluorocarbon refrigerants
不饱和氢氟碳制冷机火焰传播的数值研究与理论描述
- 批准号:
520618807 - 财政年份:
- 资助金额:
-- - 项目类别:
Research Units
DNS-driven development of predictive LES models for gas turbine emissions
DNS 驱动的燃气轮机排放预测 LES 模型的开发
- 批准号:
434872808 - 财政年份:
- 资助金额:
-- - 项目类别:
Research Grants
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