氨热解动力学建模的挑战

Peter Glarborg , Hamid Hashemi , Paul Marshall
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引用次数: 18

摘要

氨热解反应对氨在发动机和燃气轮机中的点火和氧化具有重要意义。本文从动力学模型和理论两方面研究了氨热解的化学过程。根据现有的实验和理论结果,对关键反应的速率常数进行了仔细的评估。NH2 + H (+M) (R1)的高压极限k1,∞被计算为本质上的碰撞频率,表明即使在发动机和燃气轮机工况下,燃烧过程中氨的解离也将处于或接近低压极限。化学动力学模型通过对氨热解过程中NH3、NH2和NH的激波管测量进行了验证。对于稀释条件(NH3≤0.5%),预测结果与观测结果非常吻合,但该模型似乎低估了在较低稀释混合物中较长时间的NH3消耗率。在较短的反应时间内,NH3的热解离和NH3 + H反应控制了转化。在较长的时间内,涉及NH2和NH的二次反应因其对自由基池的影响而变得重要。预测对二氮烯(tHNNH和cHNNH)的形成和消耗变得敏感。氨热解机理的几个关键步骤是自由基-自由基反应,这些反应很难精确测量,理论上也很难计算,需要更全面的实验表征来支持进一步的模型开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Challenges in Kinetic modeling of ammonia pyrolysis

Ammonia pyrolysis reactions have implications for its ignition and oxidation in engines and gas turbines. In the present work, the chemistry of ammonia pyrolysis is investigated by kinetic modeling and theory. Rate constants for key reactions are carefully evaluated based on available experimental and theoretical results. The high pressure limit k1, for NH2 + H (+M) NH3 (+M) (R1) is calculated to be essentially the collision frequency, indicating that dissociation of ammonia in combustion processes will be at or close to the low pressure limit even at engine and gas turbine conditions. The chemical kinetic model is validated against reported shock tube measurements of NH3, NH2, and NH in ammonia pyrolysis. Predictions are in good agreement with observations for dilute conditions ( 0.5% NH3), but the model appears to underpredict the NH3 consumption rate at longer times in less dilute mixtures. At short reaction times, thermal dissociation of NH3, together with the NH3 + H reaction, controls conversion. At longer times, secondary reactions involving NH2 and NH become important due to their impact on the radical pool. Predictions become sensitive to formation and consumption of diazene (tHNNH and cHNNH). Several of the key steps in the ammonia pyrolysis mechanism are radical-radical reactions that are difficult to measure accurately and challenging to calculate theoretically, and a more comprehensive experimental characterization is desirable to support further model development.

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