Engine improvements to reduce NOx

改进发动机以减少氮氧化物

• 批准号: 513302-2017
• 负责人: Gaskin, Susan
• 金额: $ 0.41万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Engage Plus Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=639535
• 关键词: Engine; improvements; reduce; NOx

Ensuring a reliable, efficient energy supply through the provision to the market of of heavy duty gas turbines,aero derivative gas turbines and industrial gas turbines is the aim of Siemens Canada Limited (PowerGeneration , Distributed Generation, Aeroderivative Gas turbine). The next generation of engines will need tocomply with increasingly stringent pollutant emissions legislation not only for high methane natural gas butalso for a wide range of fuel compositions encompassing higher hydrocarbons and inert gases. The capabilityto operate on liquid fuel either for emergency backup of for full baseload operation is also mandatory for manyapplications. These requirements impose significant technical and modeling challenges for the combustionsystem development.This project aims to enhance our ability to develop clean combustion technology. Improvements in pollutantemissions requires improved mixing to ensure a more complete combustion of the fuel and air mixture.Effective mixing of the fuel with air has the potential for reducing NOx emissions, yet current understanding ofthe mixing process is incomplete and the computational fluid dynamics (CFD) modelling is not yet able tomodel the complete physical process. This project is a continuation of the original project studying a simplifiedmodel of the mixing chamber to improve understanding of the physical mixing processes and improveunderstanding of the limitations in the current CFD models of the mixing processes.

通过向市场提供重型燃气轮机、航改燃气轮机和工业燃气轮机，确保可靠、高效的能源供应是西门子加拿大有限公司（发电、分布式发电、航改燃气轮机）的目标。下一代发动机将需要遵守日益严格的污染物排放法规，不仅针对高甲烷天然气，而且还针对包括高级碳氢化合物和惰性气体的各种燃料成分。对于许多应用来说，使用液体燃料进行紧急备份或满基载运行的能力也是强制性的。这些要求给燃烧系统的开发带来了重大的技术和建模挑战。该项目旨在增强我们开发清洁燃烧技术的能力。污染物排放的改善需要改进混合，以确保燃料和空气混合物更完全燃烧。燃料与空气的有效混合具有减少氮氧化物排放的潜力，但目前对混合过程的理解还不完整，计算流体动力学 (CFD) 建模尚无法对完整的物理过程进行建模。该项目是原始项目的延续，研究混合室的简化模型，以提高对物理混合过程的理解，并提高对当前混合过程 CFD 模型局限性的理解。