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: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=760117
• 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)和压燃式(CI)发动机不太可能在未来几十年内从交通和能源部门被取代，因为它们提供无与伦比的能量和功率密度，非常适合补充间歇性可再生能源(如风力涡轮机、太阳能)。尽管GTS和CI发动机不断改进，但它们仍存在颗粒物(PM)、NOx、二氧化碳和未燃烧碳氢化合物(UHC)排放。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，但这项具有挑战性的任务受到我们对这些发动机所涉及的高度复杂的燃烧过程的缺乏了解的制约。从历史上看，由于极端具有挑战性的环境(光学通道、高压等)，实验研究仅在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停留在表面上。直接数值模拟(直接数值模拟)是一种高保真的模拟方法，它解决了湍流燃烧过程中所有相关的时间和长度尺度，直到最近才出现，作为一种解开这些复杂机制的选择。在拟议的研究中，将使用域名系统来探索目前限制燃气轮机和电控发动机战略减少污染物排放潜力的关键科学问题。该计划的第一部分将专注于燃气轮机燃烧。为了减少二氧化碳排放，并从日益增长的替代燃料市场中受益，氢气正被用作燃料添加剂。然而，氢的高反应性完全改变了燃烧动力学。目前还不清楚强烈的湍流(与燃气轮机运行条件有关)对这些动力学的影响，特别是在高压和高温条件下，这方面的研究还很少。在此背景下，将进行一系列的直接数值模拟，以揭示燃料组成、热化学条件和湍流强度对燃气轮机条件下湍流火焰的结构/稳定化和NOx生成的影响。第二部分将讨论喷气火焰在电喷发动机条件下的稳定机理。这些火焰在远离喷油器的地方点燃、发展和稳定，喷油器控制燃烧前燃料与空气的混合量，从而控制产生的污染物水平(PM和UHC)。由于对复杂的稳定机制知之甚少，电控发动机受到燃料灵活性的影响。拟议的数字燃料系统将首先探讨喷气火焰稳定机制对气缸内重要控制参数(如温度和废气稀释度)的敏感性，并将重点研究替代燃料，如生物柴油。