High-fidelity simulations of turbulent combustion relevant to gas turbines and compression ignition engines

与燃气轮机和压燃式发动机相关的湍流燃烧的高保真模拟

• 批准号: RGPIN-2019-04309
• 负责人: Savard, Bruno
• 金额: $ 2.7万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=714769
• 关键词: fidelity; simulations; turbulent; combustion; relevant

It is unlikely that gas turbines (GTs) and compression ignition (CI) engines will be displaced from the transportation and energy sectors within decades to come as they provide unmatched levels of energy and power density and are highly suitable to complement intermittent renewables (e.g., wind turbines, solar). Despite continuous improvements, GTs and CI engines suffer from particulate matter (PM), NOx, CO2, and unburnt hydrocarbon (UHC) emissions. In the current environmental, economical and political context, it is essential for engine manufacturers to drastically reduce these undesirable pollutants, while increasing fuel flexibility and efficiency, but this challenging task is constrained by our poor understanding of the highly complex combustion processes involved in these engines. Historically, experimental studies have only provided qualitative results at GT and CI engine conditions due to the extremely challenging environments (optical access, high pressure, etc.). As a result, despite their importance, the mechanisms that control the combustion process and pollutant formation remain superficially understood. Direct numerical simulation (DNS), a high-fidelity simulation approach that resolves all relevant time and length scales of the turbulent combustion process, has only recently emerged as an alternative to unravel these complex mechanisms. In the proposed research, DNS will be used to explore key scientific questions that currently limit the potential of GT and CI engine strategies to reduce pollutant emissions. A first portion of the program will focus on GT combustion. To reduce CO2 emissions and to benefit from the growing alternative fuel market, hydrogen is being used as a fuel additive. However, the high reactivity of hydrogen changes completely the combustion dynamics. It is unclear what role intense turbulence (relevant to GT operating conditions) plays on these dynamics, especially at high pressure and temperature conditions, which has been little explored fundamentally. In this context, a series of DNS will be conducted to expose the effects of fuel composition, thermochemical conditions and turbulence intensity on the structure/stabilization and NOx formation of turbulent flames at GT conditions. The second portion will address the stabilization mechanism of jet flames at CI engine conditions. These flames ignite, develop, and stabilize at a distance away from the fuel injector, which controls the amount of fuel-air mixing prior to combustion and, as a result, the level of pollutants produced (PM and UHC). As little is understood about the complex stabilization mechanism, CI engines suffer from fuel flexibility. The proposed DNS will first explore the sensitivity of the stabilization mechanism of CI jet flames to important in-cylinder controlling parameters (e.g., temperature and exhaust gas dilution) and fuel effects will be investigated with a focus on alternative fuels such as bio-diesel.

燃气轮机（gt）和压缩点火（CI）发动机不太可能在未来几十年内从交通和能源领域被取代，因为它们提供无与伦比的能量和功率密度，并且非常适合补充间歇性可再生能源（例如风力涡轮机、太阳能）。尽管不断改进，gt和CI发动机仍然受到颗粒物（PM）、氮氧化物、二氧化碳和未燃烧碳氢化合物（UHC）排放的影响。在当前的环境、经济和政治背景下，发动机制造商必须大幅减少这些不受欢迎的污染物，同时提高燃料的灵活性和效率，但这一具有挑战性的任务受到我们对这些发动机高度复杂的燃烧过程了解不足的限制。历史上，由于极具挑战性的环境（光通道、高压等），实验研究只能在GT和CI发动机条件下提供定性结果。因此，尽管它们很重要，但控制燃烧过程和污染物形成的机制仍然是肤浅的。直接数值模拟（DNS）是一种高保真的模拟方法，可以解决湍流燃烧过程的所有相关时间和长度尺度，直到最近才成为解开这些复杂机制的替代方法。在拟议的研究中，DNS将用于探索目前限制GT和CI发动机战略减少污染物排放潜力的关键科学问题。