Multiple representative interactive linear eddy model: Investigation of turbulence chemistry interaction and evaluation of progress variable definition and PDFs
{"title":"Multiple representative interactive linear eddy model: Investigation of turbulence chemistry interaction and evaluation of progress variable definition and PDFs","authors":"Nidal Doubiani , Michael Oevermann","doi":"10.1016/j.fuel.2024.133445","DOIUrl":null,"url":null,"abstract":"<div><div>Improving the predictions of unsteady effects in combustion processes requires novel combustion models that include turbulence chemistry interaction effects. The Multiple Representative Interactive Linear Eddy Model (MRILEM) is an improved version of the previous RILEM variant. MRILEM utilizes a pressure coupling instead of a volume constraint to intrinsically include heat effects into the LEM line with no supplementary modeling. In addition, it advances multiple LEM lines in parallel to improve statistical fidelity. The pressure coupling of MRILEM generates a coupling effect between the LEM lines that assists in communicating the combustion process between the lines. The ”Spray-B” engine of the Engine Combustion Network (ECN) was simulated using MRILEM. While the original RILEM variation employs a straightforward Dirac <span><math><mi>δ</mi></math></span>-peak for the progress variable, a realistic PDF requires this function to extend over the entire space. The introduced MRILEM compares the utilization of two progress variable PDFs, namely a step function defined based on the mean and a <span><math><mi>β</mi></math></span>-PDF generated from the progress variable mean and variance. The progress variable variance was calculated based on the Pierce and Moin formulation with a RANS adaptation based on the integral length scale. In addition, two definitions of the progress variable are investigated, namely <span><math><msub><mrow><mi>O</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> and <span><math><msub><mrow><mi>h</mi></mrow><mrow><mn>298</mn></mrow></msub></math></span>. A tabulation method is introduced for RILEM to reduce the computational time by advancing pre-generated LEM solution matrices constructed in mixture fraction <span><math><mi>Z</mi></math></span> and progress variable <span><math><mi>c</mi></math></span> spaces. The different variants of the model, i.e., MRILEM-<span><math><msub><mrow><mi>β</mi></mrow><mrow><mi>Z</mi></mrow></msub></math></span>-Step<span><math><msub><mrow></mrow><mrow><mi>c</mi></mrow></msub></math></span>, MRILEM-<span><math><msub><mrow><mi>β</mi></mrow><mrow><mi>Z</mi></mrow></msub></math></span>-<span><math><msub><mrow><mi>β</mi></mrow><mrow><mi>c</mi></mrow></msub></math></span>, TRILEM-<span><math><msub><mrow><mi>β</mi></mrow><mrow><mi>Z</mi></mrow></msub></math></span>-<span><math><msub><mrow><mtext>Step</mtext></mrow><mrow><mi>c</mi></mrow></msub></math></span>, and TRILEM-<span><math><msub><mrow><mi>β</mi></mrow><mrow><mi>Z</mi></mrow></msub></math></span>-<span><math><msub><mrow><mi>β</mi></mrow><mrow><mi>c</mi></mrow></msub></math></span> were compared against experiments based on heat release rate, ignition delay, flame lift-off, and computational time.</div></div>","PeriodicalId":325,"journal":{"name":"Fuel","volume":"381 ","pages":"Article 133445"},"PeriodicalIF":6.7000,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fuel","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0016236124025948","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Improving the predictions of unsteady effects in combustion processes requires novel combustion models that include turbulence chemistry interaction effects. The Multiple Representative Interactive Linear Eddy Model (MRILEM) is an improved version of the previous RILEM variant. MRILEM utilizes a pressure coupling instead of a volume constraint to intrinsically include heat effects into the LEM line with no supplementary modeling. In addition, it advances multiple LEM lines in parallel to improve statistical fidelity. The pressure coupling of MRILEM generates a coupling effect between the LEM lines that assists in communicating the combustion process between the lines. The ”Spray-B” engine of the Engine Combustion Network (ECN) was simulated using MRILEM. While the original RILEM variation employs a straightforward Dirac -peak for the progress variable, a realistic PDF requires this function to extend over the entire space. The introduced MRILEM compares the utilization of two progress variable PDFs, namely a step function defined based on the mean and a -PDF generated from the progress variable mean and variance. The progress variable variance was calculated based on the Pierce and Moin formulation with a RANS adaptation based on the integral length scale. In addition, two definitions of the progress variable are investigated, namely and . A tabulation method is introduced for RILEM to reduce the computational time by advancing pre-generated LEM solution matrices constructed in mixture fraction and progress variable spaces. The different variants of the model, i.e., MRILEM--Step, MRILEM--, TRILEM--, and TRILEM-- were compared against experiments based on heat release rate, ignition delay, flame lift-off, and computational time.
期刊介绍:
The exploration of energy sources remains a critical matter of study. For the past nine decades, fuel has consistently held the forefront in primary research efforts within the field of energy science. This area of investigation encompasses a wide range of subjects, with a particular emphasis on emerging concerns like environmental factors and pollution.