在宽广的氢气混合比范围内,为 CH4/H2 燃烧开发氮氧化物化学骨架机制

IF 5.2 3区 工程技术 Q2 ENERGY & FUELS Energy & Fuels Pub Date : 2024-10-07 DOI:10.1021/acs.energyfuels.4c0280210.1021/acs.energyfuels.4c02802
Shunta Xu, Ziyi Tian and Hao Liu*, 
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引用次数: 0

摘要

要通过计算流体动力学(CFD)模拟来描述 CH4/H2 与氮氧化物(NOx)的燃烧化学反应,准确高效的骨架机理至关重要。本文全面、定量地评估了 11 种经典/最先进的详细 C/H/O/N 机理(1995-2020 年)在预测 CH4、H2 及其混合物燃烧方面的性能。在性能最佳的 Glarborg2018 机理的基础上,利用有向关系图与误差传播(DRGEP)、灵敏度分析(SA)和准稳态近似(QSSA)方法,开发了一种 60 种、566 个反应的 C1-2/H/O/N 骨架机理,该机理具有氮氧化物化学性质,适用于氢气混合比从 0 到 100% 的宽范围内的 CH4/H2 燃烧。此外,还根据大量可用的实验数据(∼3500 个数据点),从点火延迟时间、层流燃烧速度、火焰结构(即:温度和物种(反应物、中间产物和反应物))等方面,对目前新开发的骨架机理进行了全面评估、温度和物种(反应物、中间产物和最终产物,包括 CH4、H2、O2、CO、CO2、CH2O、C2H4、C2H6、N2 和 H2O)浓度)、氮氧化物排放以及通过不同子机制形成和还原氮氧化物。结果表明,Glarborg2018 在预测 CH4、H2 及其混合物燃烧产生的 NO 方面表现最佳,尤其是在高温条件下。新开发的骨架机理可以在低温/中温/高温(如 650-2200 K)条件下,在 0 到 100% 的氢气混合比范围内合理预测 CH4/H2 燃烧中的氮氧化物排放,优于现有的骨架机理;特别是可以分别再现热氮氧化物、瞬时氮氧化物、通过 NNH 和 N2O-中间产物形成的氮氧化物,以及通过 HCCO/CHi=0-3 和 H 还原的氮氧化物。总之,目前新开发的 C1-2/H/O/N 骨架机理与其母体 Glarborg2018 相比,保持了相当高的预测精度,并适用于 CH4、H2 及其混合物在低、中、高温范围内与 NOx 化学反应的模型燃烧。
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Development of a Skeletal Mechanism with NOx Chemistry for CH4/H2 Combustion over a Wide Range of Hydrogen-Blending Ratios

An accurate and efficient skeletal mechanism is critical to describe the combustion chemistry of CH4/H2 with nitrogen oxides (NOx) through computational fluid dynamics (CFD) simulations. In this paper, the performance of the 11 classical/state-of-the-art detailed C/H/O/N mechanisms (1995–2020) for predicting combustion of CH4, H2, and their mixtures is comprehensively and quantitatively evaluated. Based on the best-performing one Glarborg2018, a 60-species and 566-reaction skeletal C1–2/H/O/N mechanism with NOx chemistry for CH4/H2 combustion over a wide range of hydrogen-blending ratios from 0 to 100% is developed using the directed relation graph with error propagation (DRGEP), sensitivity analysis (SA), and quasi-steady-state-approximation (QSSA) methods. Also, the present newly developed skeletal mechanism is comprehensively evaluated against large numbers of available experimental data (∼3500 data points) for combustion of CH4, H2, and their mixtures, in terms of ignition delay times, laminar burning velocities, flame structures (i.e., temperature and species (reactants, intermediates, and final products, including CH4, H2, O2, CO, CO2, CH2O, C2H4, C2H6, N2, and H2O) concentrations), NOx emissions, as well as NO formation and reduction via different submechanisms. Results show that Glarborg2018 performs best in predicting NO from combustion of CH4, H2, and their mixtures, especially at high temperatures. The present newly developed skeletal mechanism can reasonably well predict NOx emissions in CH4/H2 combustion over a wide range of hydrogen-blending ratios from 0 to 100% at low-/intermediate-/high-temperature levels (e.g., 650–2200 K), which is superior to the existing skeletal ones; in particular, thermal NO, prompt NO, NO formed via NNH and N2O-intermediate, as well as NO reduced by HCCO/CHi=0–3 and H can be separately reproduced. In conclusion, the present newly developed skeletal C1–2/H/O/N mechanism preserves comparable prediction accuracy compared to its parent Glarborg2018 and is applicable to model combustion of CH4, H2, and their mixtures with NOx chemistry over a wide range of low, intermediate, and high temperatures.

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来源期刊
Energy & Fuels
Energy & Fuels 工程技术-工程:化工
CiteScore
9.20
自引率
13.20%
发文量
1101
审稿时长
2.1 months
期刊介绍: Energy & Fuels publishes reports of research in the technical area defined by the intersection of the disciplines of chemistry and chemical engineering and the application domain of non-nuclear energy and fuels. This includes research directed at the formation of, exploration for, and production of fossil fuels and biomass; the properties and structure or molecular composition of both raw fuels and refined products; the chemistry involved in the processing and utilization of fuels; fuel cells and their applications; and the analytical and instrumental techniques used in investigations of the foregoing areas.
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