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A detailed chemical kinetics for the combustion of H-2/CO/CH4/CO2 fuel mixtures

机译:H-2 / CO / CH4 / CO2燃料混合物燃烧的详细化学动力学

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摘要

A genetic algorithm (GA) was proposed and validated for the optimal extraction of a sub-mechanism for H-2/CO/CH4/CO2 mixtures from the detailed Aramcol.3 chemical kinetics mechanism (Metcalfe et al., 2013), which was developed" for C-1-C-5 hydrocarbons and oxygenated fuels. Ninety ignition delay time data involving mixtures containing H-2, CO, CH4, CO2, N-2, and H2O at wide range of experimental conditions were chosen as optimization targets to guide the GA, so that the final reduced mechanism was able to fully describe the combustion characteristics of syngas and biogas fuel mixtures. The final reduced mechanism for H-2/CO/CH4/CO2 fuel mixtures comprised of 72 species and 290 reactions (reduced from 325 species and 2067 reactions), and it was extensively validated against experimental results, such as measured ignition delay times and laminar flame speeds, over a wide range of operating conditions. The excellent agreement between the reduced mechanism and Aramcol.3 mechanism in predicting the combustion properties of H-2/CO/CH4/CO2 mixtures with maximum relative error values of only 0.9% and 2.75%, respectively for the ignition delay time and laminar flame speed results, indicates that the proposed reduced mechanism can be used for predicting the combustion characteristics of biogas and syngas fuel mixtures. Furthermore, it was observed that the reduced mechanism shows excellent agreement with the Aramcol.3 mechanism in predicting the ignition delay time of mixtures with added ethane and propane. Therefore, the proposed reduced mechanism represents the most up-to-date detailed chemical kinetics mechanism for biogas and syngas fuel mixtures, and it can also be used for predicting the combustion properties of natural gas with impurities such as ethane and propane. The reduced mechanism agreed so well with the Aramco1.3 mechanism in predicting the combustion properties of H-2/CO/CH4/CO2 mixtures, where both mechanisms performed identically in over predicting the ignition delay time for H-2/CO/CO2, CO2, H-2/CO/CH4, and H-2/CO/CH4/CO2/H2O mixtures at several experimental conditions. These observations were also reported by Lee et al. (2015), where they proposed two new rate constants for H + O-2(+CO2) = HO2(+CO2) and CH4 + OH = CH3 + H2O to reconcile the discrepancies observed. These two new rate constants were assessed in this study by incorporating the modified rate constants into the 290Rxn mechanism (referred as 290Rxn-V1), where it was found that the modified rate constants did improve the ignition delay time predictions. However, the two proposed rate constants did not improve the predictions of the laminar flame speed for mixtures with a high CO2 content at high equivalence ratios (phi > 1.2). Therefore, optimization of the rate constants in the 290Rxn mechanism is highly recommended to further improve its agreement with experimental data for biogas and syngas fuel mixtures. (C) 2016 Elsevier Ltd. All rights reserved.
机译:提出了一种遗传算法(GA)并对其进行了验证,以从详细的Aramcol.3化学动力学机制(Metcalfe et al。,2013)中最佳提取H-2 / CO / CH4 / CO2混合物的子机理。 “针对C-1-C-5碳氢化合物和含氧燃料开发的数据。”选择90%的点火延迟时间数据作为优化目标,该数据涉及在广泛的实验条件下包含H-2,CO,CH4,CO2,N-2和H2O的混合物来指导GA,以便最终的还原机理能够充分描述合成气和沼气燃料混合物的燃烧特性。H-2/ CO / CH4 / CO2燃料混合物的最终还原机理包括72种反应和290个反应(减少了325种和2067次反应),并且已针对实验结果进行了广泛验证,例如在各种操作条件下测得的点火延迟时间和层流火焰速度。还原机理与Aramcol.3机理之间的优异一致性谓词对H-2 / CO / CH4 / CO2混合物的燃烧特性进行分析,其最大相对误差值分别仅为0.9%和2.75%,这对于点火延迟时间和层流火焰速度结果而言,表明所提出的简化机理可用于预测沼气和合成气燃料混合物的燃烧特性。此外,观察到还原机理与Aramcol.3机理在预测添加乙烷和丙烷的混合物的点火延迟时间方面显示出极好的一致性。因此,所提出的还原机理代表了沼气和合成气燃料混合物的最新详细化学动力学机理,它还可以用于预测天然气与乙烷和丙烷等杂质的燃烧特性。简化的机理与Aramco1.3机理在预测H-2 / CO / CH4 / CO2混合物的燃烧特性方面非常吻合,其中两种机理在预测H-2 / CO / CO2的点火延迟时间方面表现相同,在几个实验条件下,CO2,H-2 / CO / CH4和H-2 / CO / CH4 / CO2 / H2O混合物。 Lee等人也报道了这些观察结果。 (2015),他们针对H + O-2(+ CO2)= HO2(+ CO2)和CH4 + OH = CH3 + H2O提出了两个新的速率常数,以调和观察到的差异。通过将修改后的速率常数合并到290Rxn机制(称为290Rxn-V1)中,在此研究中对这两个新的速率常数进行了评估,结果发现,修改后的速率常数确实改善了点火延迟时间的预测。但是,对于高当量比(phi> 1.2)的高CO2含量的混合物,提出的两个速率常数并不能改善层流火焰速度的预测。因此,强烈建议优化290Rxn机制中的速率常数,以进一步改善其与沼气和合成气燃料混合物的实验数据的一致性。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Fuel》 |2017年第1期|294-307|共14页
  • 作者单位

    Univ Calgary, Dept Mech & Mfg Engn, Calgary, AB T2N 1N4, Canada;

    Univ Calgary, Dept Mech & Mfg Engn, Calgary, AB T2N 1N4, Canada;

    Univ Calgary, Dept Mech & Mfg Engn, Calgary, AB T2N 1N4, Canada|Natl Res Council Canada, Gas Turbine Lab, Aerosp, Ottawa, ON K1A 0R6, Canada;

  • 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

    Syngas/biogas combustion; Detailed mechanisms; Combustion modeling;

    机译:合成气/沼气燃烧;详细的机理;燃烧模型;

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