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首页> 外文期刊>International journal of hydrogen energy >Numerical optimization and reaction flow analysis of syngas production via partial oxidation of natural gas in internal combustion engines
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Numerical optimization and reaction flow analysis of syngas production via partial oxidation of natural gas in internal combustion engines

机译:内燃机部分氧化天然气合成气的数值优化和反应流分析

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The production of hydrogen is studied numerically under uncatalyzed partial oxidation and homogeneous charge compression ignition (HCCI) conditions in an internal combustion engine fueled by natural gas. The HCCI process is modeled by a single-zone variable volume reactor using a global heat transfer model and elementary-step reaction mechanisms. Numerical optimization is applied to maximize the hydrogen yield at the end of the expansion stroke by varying the equivalence ratio, engine speed and initial pressure for a fixed initial temperature. Suitable constraints were defined, including peak pressure and bounds to the optimization variables. From these results, maximum hydrogen yield profiles and the associated operating parameter profiles as functions of initial temperature were obtained. The profiles exhibit strong linear dependency with initial temperature. Reaction flow analysis was performed to gain detailed insight into the chemical processes involved when the engine is run under optimal conditions for a maximum hydrogen yield. The integral reaction flow analysis shows that substantial amounts of hydrogen are produced from precursors, which are also valuable products, such as methanol, formaldehyde and ethylene. Copyright (C) 2015, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved.
机译:在以天然气为燃料的内燃机中,在未催化的部分氧化和均质充量压缩点火(HCCI)条件下,对氢的产生进行了数值研究。 HCCI过程通过使用全局传热模型和基本步骤反应机理的单区可变体积反应器进行建模。通过在固定的初始温度下改变当量比,发动机转速和初始压力,进行数值优化以使膨胀冲程结束时的氢气产量最大化。确定了合适的约束条件,包括峰值压力和优化变量的界限。从这些结果中,获得了最大氢气产量曲线和相关的运行参数曲线,这些曲线是初始温度的函数。这些曲线对初始温度表现出很强的线性依赖性。进行了反应流分析,以深入了解当发动机在最佳条件下运行以最大程度提高氢气产量时所涉及的化学过程。整体反应流分析表明,大量前体产生了大量的氢,前体也是有价值的产物,例如甲醇,甲醛和乙烯。 Hydrogen Energy Publications,LLC版权所有(C)2015。由Elsevier Ltd.出版。保留所有权利。

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