NSF/DOE Partnership on Advanced Combustion Engines: Sooting Behavior of Conventional and Renewable Diesel-Fuel Compounds and Mixtures

NSF/DOE 先进内燃机合作伙伴关系：传统和可再生柴油燃料化合物和混合物的烟灰行为

• 批准号: 1258654
• 负责人: Lisa Pfefferle
• 金额: $ 60万
• 依托单位: Yale University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-15 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1258654&HistoricalAwards=false
• 关键词: NSF; DOE; Partnership; Advanced; Combustion

CBET 1258654PI: Lisa D. Pfefferle, Yale University; Co-PI: Charles S. McEnally, Yale UniversityCollaborator: Charles Mueller, Sandia National LaboratoryCollaborator: William Cannella, Chevron CorporationThis research will develop surrogate fuels that can replicate the sooting characteristics of conventional and alternative diesel fuels. Surrogate fuels are mixtures with only a few chemical components that mimic the properties of real fuels that contain thousands of components. They are necessary to perform computational simulations of diesel engines because any detailed chemical kinetic mechanism that included all of the significant components in real fuels would be prohibitively large and render computations unfeasible. During the project sooting tendencies will be measured in laboratory burners for individual components representative of diesel fuels. This data will be used to develop quantitative relationships between fuel structure and soot production that can be used to estimate sooting tendencies of unmeasured chemical compounds and aid in the development of less sooting fuels. Sooting tendencies will also be measured for mixtures to develop and test rules for predicting the sooting tendencies of mixtures from those of their individual components. Then sooting tendencies will be measured for real diesel fuels and surrogate mixtures formulated to have the same sooting tendency. Finally, the surrogates will be tested in the laboratory burners and in actual diesel engines. Emissions of carbonaceous soot particles from diesel engines into the atmosphere directly harm human health; therefore new engine designs and concepts that improve fuel efficiency are only viable if they do not increase soot emissions. Computer aided design tools are critical for optimizing engines to be simultaneously efficient and nonpolluting and this is not possible using real fuels due to the large number of fuel components. This research will develop recipes for simple fuel mixtures that mimic soot formation in engines yet can be easily computed. In addition, the structure property relationships we develop will be broadly useful for scientists building surrogates for yet to be developed fuels.

CBET 1258654PI：Lisa D. Pfefferle，耶鲁大学；联合首席研究员：查尔斯·麦克纳利 (Charles S. McEnally)，耶鲁大学 合作者：查尔斯·穆勒 (Charles Mueller)，桑迪亚国家实验室 合作者：威廉·坎内拉 (William Cannella)，雪佛龙公司 这项研究将开发替代燃料，可以复制传统和替代柴油燃料的烟灰特性。替代燃料是仅含有几种化学成分的混合物，模仿含有数千种成分的真实燃料的特性。它们对于执行柴油发动机的计算模拟是必要的，因为任何包含真实燃料中所有重要成分的详细化学动力学机制都将非常大，并使计算变得不可行。在项目期间，将在实验室燃烧器中测量代表柴油燃料的各个部件的烟灰倾向。该数据将用于开发燃料结构和烟灰产生之间的定量关系，可用于估计未测量的化合物的烟灰倾向，并有助于开发烟灰较少的燃料。还将测量混合物的烟灰倾向，以开发和测试用于根据其各个组分预测混合物烟灰倾向的规则。然后，将测量真实柴油燃料和配制为具有相同烟灰倾向的替代混合物的烟灰倾向。最后，替代品将在实验室燃烧器和实际柴油发动机中进行测试。柴油机向大气排放碳质烟尘颗粒，直接危害人体健康；因此，提高燃油效率的新发动机设计和概念只有在不增加烟灰排放的情况下才可行。计算机辅助设计工具对于优化发动机使其同时高效且无污染至关重要，但由于燃料成分数量众多，使用真正的燃料是不可能实现这一点的。这项研究将开发简单燃料混合物的配方，模拟发动机中的烟灰形成，但可以轻松计算。此外，我们开发的结构属性关系对于科学家构建尚未开发的燃料的替代品将广泛有用。