零碳排放运输技术氢动力学优化

Ji-Woong Park, Y. Pei, Yu Zhang, Anqi Zhang, S. Som
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引用次数: 1

摘要

为了实现碳中和的目标,氢(H2)作为内燃机(ice)的零碳燃料最近受到了运输部门的广泛关注。作为以分析为主导的设计过程中的关键因素,需要对氢动力学机制进行全面评估,以支持高效H2-ICE燃烧系统概念的开发。在本研究中,对最近发表的H2动力学机制进行了回顾和筛选,并根据现有的点火延迟时间(IDT)和层流火焰速度(LFS)测量的实验室数据进行了评估。随后,测试扩展到高保真三维(3-D)计算流体动力学(CFD)、火花点火、H2发动机模拟。在发动机相关条件下发现的差异导致了基于Burke等人(2012)开发的H2机制的动力学调整活动。在与发动机相关的压力-温度条件下,通过全局灵敏度分析确定的反应进行了优化。采用蒙特卡罗采样方法作为搜索算法生成候选机理,将反应速率系数调整到实验和理论的不确定性限制范围内。最后,对优化后的机构进行了从低维(0-D和1-D)到高保真三维CFD发动机仿真的顺序验证。总体而言,优化后的H2动力学模型显著改善了对发动机缸内压力轨迹和热释放率的预测。
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Optimizing Hydrogen Kinetics for Zero-Carbon Emission Transport Technologies
To achieve carbon neutral ambition, hydrogen (H2) has recently received significant attention as a zerocarbon fuel for internal combustion engines (ICEs) across transportation sectors. As a critical element in the analysis-led design process, a hydrogen kinetic mechanism needs to be thoroughly evaluated to support the development of high-efficiency H2-ICE combustion system concepts. In this study, recently published H2 kinetic mechanisms were reviewed and down-selected for evaluations against available laboratory data in ignition delay time (IDT) and laminar flame speed (LFS) measurements. The examination was subsequently extended to high-fidelity three-dimensional (3-D) computational fluid dynamics (CFD), spark-ignited, H2 engine simulations. Discrepancies identified at engine-relevant conditions led to a kinetics tailoring campaign based on the H2 mechanism developed by Burke et al. (2012). Selected reactions identified via global sensitivity analysis were optimized under the engine-relevant pressure-temperature conditions. The reaction rate coefficients were adjusted within the experimental and theoretical uncertainty limits by adopting a Monte-Carlo sampling approach as a searching algorithm to generate candidate mechanisms. Finally, the optimized mechanism was validated sequentially from low-dimensional (0-D and 1-D) to high-fidelity 3D CFD engine simulations. Overall, the optimized H2 kinetic model led to significantly improved predictions on capturing engine in-cylinder pressure trace and heat release rate.
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