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Two approaches of chemistry downsizing for simulating selective non catalytic reduction DeNO_x process

机译：模拟选择性非催化还原DeNO_x过程的两种化学精简方法

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摘要

The introduction of strongly non-linear chemistry effects in numerical simulation of flows in Selective Non Catalytic Reduction (SNCR) DeNO_x is addressed. In these systems of large dimensions, NO, in flue gas is reduced by injecting either ammonia or urea as a reducing agent. First, an analysis is performed to seek out with detailed chemistry (207 elementary reactions, 33 species by Klippenstein et al. (2011) [8]) the importance of global parameters in the performance of NO removal, such as temperature and major species concentration levels. Then, this detailed reaction mechanism needs to be simplified for its subsequent introduction in flow simulations. In this paper, two different methods relying on automated optimization tools for reducing the cost of chemistry are discussed. The first one is based on the tabulation of the detailed chemical response from canonical problems, using automatically defined progress variables. In the second one, a large sample set of detailed chemistry solution points is processed by an iterative optimization procedure, leading to a reduced two-step chemistry reproducing the response of the global parameters characterizing NO removal.
机译：解决了在选择性非催化还原（SNCR）DeNO_x的流动数值模拟中引入强非线性化学效应的问题。在这些大型系统中，通过注入氨或尿素作为还原剂来还原烟道气中的NO。首先，进行分析以寻找详细的化学反应（207个基本反应，Klippenstein等人（2011年）的33个物种[8]）全局参数对NO去除性能的重要性，例如温度和主要物种浓度水平。然后，需要简化此详细的反应机制，以便随后将其引入流模拟中。在本文中，讨论了两种依靠自动化优化工具降低化学成本的方法。第一个基于使用自动定义的进度变量对规范问题产生的详细化学反应进行制表。在第二个中，通过迭代优化程序处理大量详细的化学溶液点的样本集，从而减少了两步化学反应，从而再现了表征NO去除的全局参数的响应。

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  • 来源
    《Fuel》 |2014年第2期|291-299|共9页
  • 作者

    B. Farcy; A. Abou-Taouk; L. Vervisch; P. Domingo; N. Perret;

  • 作者单位

    CORIA - CNRS & INSA Rouen, BP 8, 76801 Saint-Etienne-du-Rouvray, France;

    Chalmers University of Technology, Hoersalsvaegen 7A, SE-41296 Gothenburg, Sweden;

    CORIA - CNRS & INSA Rouen, BP 8, 76801 Saint-Etienne-du-Rouvray, France;

    CORIA - CNRS & INSA Rouen, BP 8, 76801 Saint-Etienne-du-Rouvray, France;

    SOLVAY RIC-F R & I, 85 Rue des Freres ferret, 69192 Saint-Fons, France;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Nitrous oxide; SNCR; Thermal DeNO_x; Optimization; Chemistry Reduction;

    机译：笑气;SNCR;热DeNO_x;优化;化学还原;

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