Experimental study of nitric oxide distributions in non-premixed and premixed ammonia/hydrogen-air counterflow flames

IF 5.8 2区 工程技术 Q2 ENERGY & FUELS Combustion and Flame Pub Date : 2024-06-24 DOI:10.1016/j.combustflame.2024.113556
Hao Tang , Zeinab Al Hadi , Thibault F. Guiberti , Wenting Sun , Gaetano Magnotti
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Abstract

This study reports an experimental investigation of quantitative Nitric Oxide (NO) distribution in both premixed and non-premixed NH3/H2-air flames using a counterflow burner at atmospheric pressure. One-dimensional (1D) NO laser-induced fluorescence (LIF) spectroscopy and Raman/Rayleigh spectroscopy were conducted to accurately resolve the quantitative 1D NO profile in terms of mixture fraction, temperature, and physical space. We calibrated a saturated NO-LIF model in 5 premixed lean H2/N2/NO-air flames with different seeded NO levels in a McKenna burner and validated its accuracy in three H2N2NO-air counterflow diffusion flames. The overall uncertainty of NO quantification was less than90 ppm. Our measurements were compared with simulations using different ammonia chemical kinetic models, revealing that current models have over 30% uncertainty in predicting peak NO concentrations (mole fraction) in 1D non-premixed and premixed flames and over 100% uncertainty in lower temperature regions. In premixed flames, measured NO concentrations fell within the intermediate range of current chemical kinetic models at lean and stoichiometric conditions, but were lower than the models at rich conditions. In non-premixed flames, all models overestimated the peak NO concentrations by more than 1000 ppm. It is noted that the measured peak NO concentrations increased with higher NH3/H2 ratios (from 4/6 to 8/2), strain rates (from 80 to 140 1/s), and N2 dilution ratios in a 1:1 NH3/H2 mixture (from 0 to 30%). Although most models could qualitatively predict the trends, they were inaccurate in quantifying NO. Additionally, the measured width of the NO profile in mixture fraction space expanded with increasing NH3/H2 ratio, N2 dilution ratio, and strain rate. While models could qualitatively predict this behavior, they consistently underestimated NO in the fuel-rich, lower-temperature region, resulting in a narrower NO profile width. The Manna model showed a better prediction of NO distribution in the fuel rich portion of non-premixed flames, accounting for NH3NO interactions at lower temperatures. These findings highlight the critical need to improve models to accurately predict NO concentrations in ammonia-containing flames and their behavior in fuel rich regions.

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非预混合和预混合氨气/氢气逆流火焰中一氧化氮分布的实验研究
本研究报告了在大气压力下使用逆流燃烧器对预混合和非预混合 NH3/H2- 空气火焰中一氧化氮(NO)定量分布的实验研究。我们采用了一维(1D)NO 激光诱导荧光(LIF)光谱和拉曼/雷利光谱,以准确解析一维 NO 在混合物组分、温度和物理空间方面的定量分布。我们在麦肯纳燃烧器中的 5 个具有不同 NO 种子水平的预混合贫 H2/N2/NO-air 火焰中校准了饱和 NO-LIF 模型,并在 3 个 H2N2NO-air 逆流扩散火焰中验证了其准确性。氮氧化物定量的总体不确定性小于 90 ppm。我们将测量结果与使用不同氨化学动力学模型的模拟结果进行了比较,结果表明,目前的模型在预测一维非预混合和预混合火焰中的 NO 浓度峰值(摩尔分数)时,不确定性超过 30%,而在较低温度区域,不确定性超过 100%。在预混火焰中,在贫气和化学计量条件下,测得的氮氧化物浓度在当前化学动力学模型的中间范围内,但在富气条件下低于模型。在非预混合火焰中,所有模型都高估了 NO 的峰值浓度,高出 1000 ppm 以上。值得注意的是,随着 NH3/H2 比率(从 4/6 到 8/2)、应变速率(从 80 到 140 1/s)和 1:1 NH3/H2 混合气中 N2 稀释比(从 0 到 30%)的提高,测得的 NO 峰值浓度也在增加。虽然大多数模型可以定性地预测趋势,但它们在量化 NO 方面并不准确。此外,随着 NH3/H2 比率、N2 稀释比率和应变速率的增加,在混合分数空间中测得的 NO 曲线宽度也在扩大。虽然模型可以定性地预测这种行为,但它们始终低估了富燃料、低温区域的 NO,导致 NO 剖面宽度变窄。Manna 模型能更好地预测非预混火焰中富含燃料部分的 NO 分布,并考虑到 NH3NO 在较低温度下的相互作用。这些发现突出表明,亟需改进模型,以准确预测含氨火焰中的 NO 浓度及其在富燃料区的行为。
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来源期刊
Combustion and Flame
Combustion and Flame 工程技术-工程:化工
CiteScore
9.50
自引率
20.50%
发文量
631
审稿时长
3.8 months
期刊介绍: The mission of the journal is to publish high quality work from experimental, theoretical, and computational investigations on the fundamentals of combustion phenomena and closely allied matters. While submissions in all pertinent areas are welcomed, past and recent focus of the journal has been on: Development and validation of reaction kinetics, reduction of reaction mechanisms and modeling of combustion systems, including: Conventional, alternative and surrogate fuels; Pollutants; Particulate and aerosol formation and abatement; Heterogeneous processes. Experimental, theoretical, and computational studies of laminar and turbulent combustion phenomena, including: Premixed and non-premixed flames; Ignition and extinction phenomena; Flame propagation; Flame structure; Instabilities and swirl; Flame spread; Multi-phase reactants. Advances in diagnostic and computational methods in combustion, including: Measurement and simulation of scalar and vector properties; Novel techniques; State-of-the art applications. Fundamental investigations of combustion technologies and systems, including: Internal combustion engines; Gas turbines; Small- and large-scale stationary combustion and power generation; Catalytic combustion; Combustion synthesis; Combustion under extreme conditions; New concepts.
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