Abstract

Accurate prediction of the temperature and various species concentrations at combustor exhaust is very important. This work presents numerical investigations of a can-type combustor used in industrial gas turbines for power generation. The methane-air combustion process is investigated using models based on Reynolds-averaged Navier–Stokes (RANS) equations. Enhancement of the mixing of air and fuel streams, which results in better combustion, is numerically investigated using different swirl rates. The investigation explores different combinations of turbulence, combustion, and radiation models to find the best possible combination that could accurately predict the combustion process. The numerical results are validated with the extensive experimental database available in the open literature. A structured grid is used to investigate the effect of different modelling parameters as it turned out to reduce the computational power and simulation time. It is found that a swirl improves the combustion process by forming recirculation zones of different lengths and time scales. The combustion lengths are reduced by the entrainment and rapid mixing of the reactants in the recirculation zones.

中文翻译：

---

基于 CFD 的工业天然气燃烧器中涡流对燃烧影响的参数研究

摘要

准确预测燃烧室排气中的温度和各种物质浓度非常重要。这项工作介绍了用于发电的工业燃气轮机的罐式燃烧器的数值研究。使用基于雷诺平均纳维-斯托克斯 (RANS) 方程的模型研究甲烷-空气燃烧过程。使用不同的涡流率对空气和燃料流混合的增强，这导致更好的燃烧进行了数值研究。该调查探索了湍流、燃烧和辐射模型的不同组合，以找到可以准确预测燃烧过程的最佳组合。数值结果通过公开文献中可用的广泛实验数据库进行验证。结构化网格用于研究不同建模参数的影响，因为它可以减少计算能力和仿真时间。发现涡流通过形成不同长度和时间尺度的再循环区来改进燃烧过程。再循环区中反应物的夹带和快速混合缩短了燃烧长度。