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：耶鲁大学Lisa D. Pfefferle； Co-Pi：耶鲁大学企业家查尔斯·麦克纳利（Charles S.替代燃料是仅具有少数化学成分的混合物，这些化学成分模仿了包含数千个组件的真实燃料的性质。它们对于对柴油发动机进行计算模拟是必不可少的，因为包括真实燃料中所有重要组件的任何详细的化学动力学机制都会非常大，并且呈现计算是不可行的。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组件的烟雾。该数据将用于建立燃料结构和烟灰产生之间的定量关系，这些关系可用于估计未衡量的化合物的烟灰趋势，并有助于开发较少的烟雾燃料。还将测量烟雾趋势，以制定和测试规则，以预测各个组件的混合物的烟雾趋势。然后，将测量用于实际柴油燃料的烟雾趋势，并配制出具有相同烟雾趋势的替代混合物。最后，将在实验室燃烧器和实际柴油发动机中测试代理人。来自柴油发动机进入大气的碳质烟灰颗粒的排放直接损害了人类健康；因此，只有在不增加烟灰排放的情况下，提高燃油效率的新发动机设计和概念才能可行。计算机辅助设计工具对于优化引擎同时效率和不污染至关重要，由于大量燃料组件，使用真实燃料是不可能的。这项研究将开发出简单燃料混合物的食谱，以模仿发动机中的烟灰形成但很容易计算。此外，我们建立的结构财产关系对于建立尚未开发燃料的替代物的科学家将非常有用。