3D DNS of MILD combustion: A detailed analysis of heat loss effects, preferential diffusion, and flame formation mechanisms

Goktolga, M.U.; Oijen, J.A. van; Goey, de Lph Philip

doi:10.1016/j.fuel.2015.07.049

Cited by 40 publications

(25 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This case was shown to be operating in MILD regime, and was studied by the current authors in DNS context [7]. The fuel is composed of CH 4 and H 2 equal in volume, and the oxidizer has 3% of O 2 , 85% of N 2 , 6.5% of H 2 O and 5.5% of CO 2 by mass fractions.…”

Section: Numerical Methods and Simulation Setupmentioning

confidence: 91%

“…Finally, the same case used in 1D simulations was investigated by performing 2D DNS in the form of autoigniting mixing layers using detailed chemistry, standard FGM, and MuSt-FGM. The details of DNS settings can be found in [7]. In the DNS calculations, unity Lewis number assumption was adopted for simplicity.…”

Section: Numerical Methods and Simulation Setupmentioning

confidence: 99%

“…The FGM tables for HO 2 as Y 1 and H 2 O as Y 2 were generated as described earlier. the DNS settings can be found in [7]. The evolution of temperature field is given in Fig.…”

Section: Multistage Fgmmentioning

confidence: 99%

“…These aspects can be explored by DNS studies as in [6,7], but DNS is computationally prohibitive even for a lab-scale burner, let alone an industrial application. Therefore, turbulence models and chemistry reduction techniques must be utilized to perform reliable computations of real combustors so that they can be designed and improved accordingly.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Modeling MILD combustion using a novel multistage FGM method

Goktolga

Oijen

Goey

2017

Proceedings of the Combustion Institute

Self Cite

View full text Add to dashboard Cite

Moderate or intense low-oxygen dilution (MILD) combustion is a promising concept to reduce emissions and increase efficiency. It requires high levels of dilution and preheating of reactants, which is realized by mixing reactants with products. In order to extend the application areas of MILD combustion, adequate computational models must be developed. In this study, one of the candidate models, flamelet generated manifolds (FGM), has been assessed in terms of applicability to MILD combustion. Based on the results of this assessment, a novel multistage (MuSt) FGM method has been developed. The need for developing such a method mainly stems from the existence of different combustion stages in the MILD regime, which cannot be represented by a single progress variable. In the MuSt-FGM approach, each stage of combustion is modeled using a different progress variable, without increasing the dimension of the lookup table. The MuSt-FGM approach has been tested by conducting a priori study, and simulating both 1D laminar and 2D turbulent flames. Proving successful in all three tests, the MuSt-FGM method emerges as a promising tool for modeling not only MILD combustion, but also other systems where combustion is characterized by different stages.Keywords: Multistage flamelet generated manifolds (FGM), Moderate or intense low-oxygen dilution (MILD), Non-premixed combustion, Autoignition, Jet in hot coflow (JHC).2

show abstract

Section: Numerical Methods and Simulation Setupmentioning

confidence: 91%

Section: Numerical Methods and Simulation Setupmentioning

confidence: 99%

“…The FGM tables for HO 2 as Y 1 and H 2 O as Y 2 were generated as described earlier. the DNS settings can be found in [7]. The evolution of temperature field is given in Fig.…”

Section: Multistage Fgmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling MILD combustion using a novel multistage FGM method

Goktolga

Oijen

Goey

2017

Proceedings of the Combustion Institute

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the study of MILD combustion, advanced CFD approaches such as LES and DNS are becoming increasingly important, e.g. [52,53]. As LES and DNS are time-dependent three-dimensional (3D) simulations, the computational costs associated with these methods can be relatively high.…”

Section: Numerical Modelling Approach For Methane Oxidation/combustionmentioning

confidence: 99%

The combustion mitigation of methane as a non-CO 2 greenhouse gas

Jiang

Mira

Cluff

2018

Progress in Energy and Combustion Science

View full text Add to dashboard Cite

ABSTRACT:Anthropogenic emissions of non-CO 2 greenhouse gases such as fugitive methane contribute significantly to global warming. A review of fugitive methane combustion mitigation and utilisation technologies, which are primarily aimed at methane emissions from coal mining activities, with a focus on modelling and simulation of ultra-lean methane oxidation/combustion is presented. The challenges associated with ultra-lean methane oxidation are on the ignition of the ultra-lean mixture and sustainability of the combustion process. There is a lack of fundamental studies on chemical kinetics of ultra-lean methane combustion and reliable kinetic schemes that can be used together with computational fluid dynamics studies to design and develop advanced mitigation systems. Mitigation of methane as a greenhouse gas calls for more efforts on understanding ultra-lean combustion. Recuperative combustion provides a promising means for mitigating ultra-lean methane emissions. Progress is needed on effective methods to ignite and to recuperate and retain heat for oxidation/combustion of the ultra-lean mixtures. Catalysts can be very effective in reducing the temperatures required for oxidation while plasmas may be utilised to assist the ignition, but thermodynamic/aerodynamic limits of burning ultra-lean methane remain unexplored. Further technological developments may be focussed on developing innovative capturing technology as well as technological innovations to achieve effective ignition and sustainable oxidation/combustion.

show abstract

Effect of Hydrogen Enrichment on Pollutant and Greenhouse Gases Formation and Exergy Efficiency of Methane MILD Combustion

Khanlari

Salavati-Zadeh

Mohammadi

et al. 2019

Environmentally-Benign Energy Solutions

View full text Add to dashboard Cite

of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

show abstract

3D DNS of MILD combustion: A detailed analysis of heat loss effects, preferential diffusion, and flame formation mechanisms

Cited by 40 publications

References 38 publications

Modeling MILD combustion using a novel multistage FGM method

Modeling MILD combustion using a novel multistage FGM method

The combustion mitigation of methane as a non-CO 2 greenhouse gas

Effect of Hydrogen Enrichment on Pollutant and Greenhouse Gases Formation and Exergy Efficiency of Methane MILD Combustion

Contact Info

Product

Resources

About