Combustion chemical kinetics of biodiesel and related compounds (methyl and ethyl esters): Experiments and modeling – Advances and future refinements
Combustion chemical kinetics of biodiesel and related compounds (methyl and ethyl esters): Experiments and modeling – Advances and future refinements
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DOI：
10.1016/j.pecs.2013.03.002
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发表时间：
2013-08
影响因子：
29.5
通讯作者：
L. Coniglio;Hayet Bennadji;P. Glaude;Olivier;Herbinet;Francis Billaud
中科院分区：
文献类型：
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作者：
L. Coniglio;Hayet Bennadji;P. Glaude;Olivier;Herbinet;Francis Billaud
减少世界对原油的依赖，同时通过更好的燃料效率和减少废气排放来提高发动机性能的动机和挑战导致了新燃料和燃烧装置的出现。在过去的十年中，人们已经做出了相当大的努力来了解与进入市场的新兴燃料流有关的燃烧现象。本文章特别侧重于一个典型的新兴交通燃料专用于柴油发动机，生物柴油，重点是乙酯，因为最近重新关注其作为一种完全绿色生物燃料的使用。基于过去十年的研究进展，先进的实验和动力学模型相关的生物柴油和相关组分的氧化，该领域的主要差距突出，以促进收敛到清洁和高效的燃烧在柴油机。在简要概述了“原料-转化过程-生物柴油燃烧”之间的协同作用后，重点对甲基和乙基生物柴油的燃烧动力学进行了回顾，重点是两个互补的方面：基于详细的化学动力学方法的机理生成，该方法导致预测燃烧模型和实验燃烧装置，该装置生成预测模型的开发和验证过程中所需的数据。
The motivation for and challenges in reducing the world's dependence on crude oil while simultaneously improving engine performance through better fuel efficiency and reduced exhaust emissions have led to the emergence of new fuels and combustion devices. Over the past ten years, considerable effort has gone into understanding combustion phenomena in relation to emerging fuel streams entering the market. The present article focuses specifically on one typical emerging transportation fuel dedicated to the diesel engine, biodiesel, with an emphasis on ethyl esters because of recently renewed interest in its use as a completely green biofuel. Based on a review of the research developments over the past ten years in advanced experimental and kinetic modeling related to the oxidation of biodiesel and related components, the main gaps in the field are highlighted to facilitate the convergence toward clean and efficient combustion in diesel engines. After briefly outlining the synergy between “feedstocks – conversion process – biodiesel combustion”, the combustion kinetics of methyl and ethyl biodiesels are reviewed with emphasis on two complementary aspects: mechanism generation based on a detailed chemical kinetic approach that leads to predictive combustion models and experimental combustion devices that generate the data required during the development and validation of the predictive models.