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Auto-ignition of oxymethylene ethers (OME_n, n = 2-4) as promising synthetic e-fuels from renewable electricity: shock tube experiments and automatic mechanism generation

机译:从可再生电力的oxymethyleheLers(OME_N,N = 2-4)的自动点火(OME_N,N = 2-4)作为具有可再生电力的合成电子燃料:冲击管实验和自动机制

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摘要

Carbon-neutral synthetic fuels can be produced from renewable electricity by the hydrogenation of carbon dioxide captured from air or exhaust gas. A promising class of these synthetic fuels are long-chain oxymethylene ethers (OMEs), which exhibit good auto-ignition characteristics for compression-ignition engine application. This study aims to investigate the auto-ignition of three oxymethylene ethers (OMEn, n = 2-4) numerically and experimentally. A shock tube is applied to measure ignition delay times over a range of initial conditions and the obtained results serve as the validation and optimization targets for a chemical mechanism of OME2-4 developed in this work. This model is derived first using an automatic reaction class-based mechanism generator. To ensure the chemical validity of the mechanism, the automatic generator applies reaction classes and rate rules consistently for OME2-4, which are adopted from a recently published OME1 mechanism. For improved model prediction accuracy of ignition delay times, the mechanism is then optimized automatically by calibrating these rate rules within their uncertainties using data for all OMEn fuels. It is shown that this highly automated model development process is able to provide accurate chemical mechanisms for large fuel components in a very efficient manner, if accurate prior kinetic knowledge exists for their short-chain counterparts.
机译:通过从空气或废气中捕获的二氧化碳的氢化可以通过可再生电力生产碳中性合成燃料。有希望的这些合成燃料类是长链氧基醚(OMES),其表现出用于压缩点火发动机应用的良好的自动点火特性。本研究旨在在数值和实验上调查三个氧亚甲基醚的自动点火(Omen,N = 2-4)。在一系列初始条件下施加冲击管以测量点火延迟时间,并且所获得的结果用作在这项工作中开发的OME2-4化学机制的验证和优化目标。该模型首先使用自动反应类机制发生器来源。为确保机制的化学有效性,自动发生器适用于OME2-4的反应类和速率规则,这是从最近发表的OME1机制中采用的。为了提高点火延迟时间的模型预测精度,然后通过使用所有Omen燃料的数据校准它们的不确定性内的这些速率规则来自动优化机制。结果表明,这种高度自动化的模型开发过程能够以非常有效的方式为大型燃料组分提供准确的化学机制,如果有准确的先前动力学知识为其短链对应物存在。

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