{"title":"Large Eddy Simulation of multi-injector flame blow-off sensitivities to inlet biases","authors":"Sandeep Jella , Gilles Bourque , Jeffrey Bergthorson","doi":"10.1016/j.jaecs.2025.100331","DOIUrl":null,"url":null,"abstract":"<div><div>Reactant biases of mass flow rate or stochiometry can result from design trade-offs in industrial implementations of multi-injector, lean-premixed flames. Rules for maximising the lean-extinction limit require additional insight from experiments and/or computations as global scalings may not necessarily apply. Models, however, need extensive validation as the timescale separation between chemistry and turbulence decreases towards the lean limit, and a larger range of thermochemical states may be present. This leads to difficulties in parametrising them accurately. In this work, large eddy simulation (LES) is used to model blow-off in a linear array of lean, swirling, methane-air flames at atmospheric conditions. The LES methodology is assessed with regard to reproducing partial blow-off due to reactant equivalence ratio (<span><math><mi>ϕ</mi></math></span>) and flow rate (<span><math><mover><mrow><mi>m</mi></mrow><mrow><mo>̇</mo></mrow></mover></math></span>) biases. It is found that the blow-off transients at ideal (no bias) and biased conditions are similar with regard to the large-scale effects. Progress variable based flamelet generated manifolds (FGM), as well as transported species, are employed and contrasted. Both methods could reproduce the highly transient nature of blow-off, though the flamelet strategy underpredicts blow-off for some conditions. Using flame-resolved simulations, it is shown that the combustion regime near and during blow-off allows applying flamelet methods. However, the scatter of thermochemical states appears to require more than strain and enthalpy as manifold parameters.</div></div>","PeriodicalId":100104,"journal":{"name":"Applications in Energy and Combustion Science","volume":"22 ","pages":"Article 100331"},"PeriodicalIF":5.0000,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applications in Energy and Combustion Science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666352X25000135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Reactant biases of mass flow rate or stochiometry can result from design trade-offs in industrial implementations of multi-injector, lean-premixed flames. Rules for maximising the lean-extinction limit require additional insight from experiments and/or computations as global scalings may not necessarily apply. Models, however, need extensive validation as the timescale separation between chemistry and turbulence decreases towards the lean limit, and a larger range of thermochemical states may be present. This leads to difficulties in parametrising them accurately. In this work, large eddy simulation (LES) is used to model blow-off in a linear array of lean, swirling, methane-air flames at atmospheric conditions. The LES methodology is assessed with regard to reproducing partial blow-off due to reactant equivalence ratio () and flow rate () biases. It is found that the blow-off transients at ideal (no bias) and biased conditions are similar with regard to the large-scale effects. Progress variable based flamelet generated manifolds (FGM), as well as transported species, are employed and contrasted. Both methods could reproduce the highly transient nature of blow-off, though the flamelet strategy underpredicts blow-off for some conditions. Using flame-resolved simulations, it is shown that the combustion regime near and during blow-off allows applying flamelet methods. However, the scatter of thermochemical states appears to require more than strain and enthalpy as manifold parameters.