Developing Numerical Models for the Combustion and Soot Formation of Alternative Fuels

开发替代燃料燃烧和烟灰形成的数值模型

• 批准号: 401836-2012
• 负责人: Dworkin, Seth
• 金额: $ 2.26万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=649858
• 关键词: Developing; Numerical; Models; Combustion; Soot

As the transportation industry continues to expand and concerns over the environment and climate change continue to rise, combustion-generated soot (black carbon particulate) and carbon dioxide are growing concerns. Soot emissions have been identified as significantly contributing to Arctic thawing; small soot particles in the atmosphere absorb sunlight and warm the air, while larger particles eventually fall to the ground, where their darker colour speeds the melting of snow and ice. Thus, the development of techniques to reduce soot particle formation and emissions remains an important goal of researchers. Carbon dioxide emissions are also a major concern when it comes to global climate change. Carbon dioxide is a necessary by-product of combustion but its emissions have the potential to be reduced through the use of alternative fuels. Biofuels, for example, that are derived from plant matter emit less net carbon dioxide since they absorb and process it while they grow.****This research program will use high-performance super-computing to develop novel computer models of the mechanical and chemical processes of combustion and soot formation. The primary goal of the research program is to perfect computational methods of predicting combustion-generated soot particle formation, movement, and destruction, for a range of conventional and alternative fuels, including bio-based fuels. Such methods could be used to generate data that will increase our fundamental understanding of combustion processes and help us understand the potential impact of implementing biofuels in the transportation industry. This will help ensure that newly proposed fuels will not lead to an increase in emissions, and will provide a design tool for engine and fuel development, which can lead to reduced emissions in the future.

随着交通运输业的不断扩大以及对环境和气候变化的担忧不断增加，燃烧产生的烟尘（黑碳颗粒）和二氧化碳越来越受到关注。烟尘排放已被确定为对北极融化的重要贡献;大气中的小烟尘颗粒吸收阳光并使空气变暖，而较大的颗粒最终落到地面，它们的深色加速了冰雪的融化。因此，开发减少烟尘颗粒形成和排放的技术仍然是研究人员的重要目标。在全球气候变化方面，二氧化碳排放也是一个主要问题。二氧化碳是燃烧的必要副产品，但其排放量有可能通过使用替代燃料来减少。例如，从植物物质中提取的生物燃料排放的净二氧化碳较少，因为它们在生长过程中吸收和处理二氧化碳。该研究计划将使用高性能超级计算来开发燃烧和烟尘形成的机械和化学过程的新型计算机模型。该研究计划的主要目标是完善预测燃烧产生的烟尘颗粒形成，运动和破坏的计算方法，用于一系列常规和替代燃料，包括生物基燃料。这些方法可以用来生成数据，增加我们对燃烧过程的基本理解，并帮助我们了解在运输行业实施生物燃料的潜在影响。这将有助于确保新提出的燃料不会导致排放增加，并将为发动机和燃料开发提供设计工具，从而减少未来的排放。