Study of MILD combustion using LES and advanced analysis tools

Li, Zhiyi; Tomasch, Stefanie; Chen, Zhi X.; Parente, Alessandro; Ertesvåg, Ivar S.; Swaminathan, Nedunchezhian

doi:10.1016/j.proci.2020.06.298

Cited by 22 publications

(25 citation statements)

References 27 publications

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“…The numerical modeling of such a regime must carefully consider the turbulence/chemistry interaction, and detailed kinetic mechanisms must be used. The adoption of primitive-variable-based methods (such as tabulated chemistry approaches) or reactor-based models (EDC or PaSR) were reported in the literature as the optimal ones to treat the previous issues related to MILD reactive structure modeling. , …”

Section: Mild Combustion: Features and Potentialsmentioning

confidence: 99%

“…The adoption of primitivevariable-based methods (such as tabulated chemistry approaches) or reactor-based models (EDC or PaSR) were reported in the literature as the optimal ones to treat the previous issues related to MILD reactive structure modeling. 56,58 In addition, the internal gas recirculation configuration, used for several MILD reactors, implies high contents of absorbing and emitting species (H 2 O and CO 2 ) recirculating in the combustion chamber, which leads to a nontrivial modeling of the radiative heat transfer as well. 25 These features make the modeling of MILD combustion even more challenging and interesting for the scientific community.…”

Section: Mild Combustion: Features and Potentialsmentioning

confidence: 99%

See 1 more Smart Citation

MILD Combustion and Biofuels: A Minireview

Sabia¹,

Sorrentino

Ariemma³

et al. 2021

Energy Fuels

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Even in the presence of the formidable growth of renewable energy sources, advanced combustion processes have and will continue to have an irreplaceable role as a driving force for energy market. This is indeed motivated by the same huge amount of energy that can be conveniently stored in the form of energy carriers, made available from the renewable sources. The coupling of the appropriate combustion conversion technology with locally available biofuels certainly is among the most effective solutions, now on the table, to face the decarbonization challenge. In this framework, moderate or intense low oxygen dilution (MILD) combustion is among the best candidates to support the transition toward the net zero emission target. Indeed, due to its inherent features, it is highly fuel flexible and efficient, allowing for the utilization of whatever energy carrier can be considered in the decarbonization strategy. It is also characterized by an inherent low or absent pollutant emission. The novelty of this minireview is to highlight the relevance of the kinetics involved in MILD combustion processes with particular focus on biofuels, identifying invariant temperatures, relevant for process stabilization for any energy carrier. A critical evaluation of advantages and drawbacks of the use of raw bioliquids in MILD combustion conditions is reported. Then, challenges, open questions, and future perspectives on the use of biofuel in MILD combustion are discussed.

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Section: Mild Combustion: Features and Potentialsmentioning

confidence: 99%

Section: Mild Combustion: Features and Potentialsmentioning

confidence: 99%

MILD Combustion and Biofuels: A Minireview

Sabia¹,

Sorrentino

Ariemma³

et al. 2021

Energy Fuels

View full text Add to dashboard Cite

show abstract

“…For instance, if PCA is applied locally in identified zones (or clusters) of state-space, local parameterizations can be obtained, tied to specific regions of the flame. Cluster analysis for physically-relevant characteristics has been the concern of various researchers in the domain of reacting flows [11,17,18,19,20]. Previous research demonstrated that local PCs can vary significantly between clusters and can be linked to physical processes associated with local regions [11,18,20].…”

Section: Introductionmentioning

confidence: 99%

“…Cluster analysis for physically-relevant characteristics has been the concern of various researchers in the domain of reacting flows [11,17,18,19,20]. Previous research demonstrated that local PCs can vary significantly between clusters and can be linked to physical processes associated with local regions [11,18,20].…”

Section: Introductionmentioning

confidence: 99%

Local manifold learning and its link to domain-based physics knowledge

Zdybał¹,

D’Alessio²,

Attili³

et al. 2022

Preprint

Self Cite

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In many reacting flow systems, the thermo-chemical state-space is known or assumed to evolve close to a low-dimensional manifold (LDM). Various approaches are available to obtain those manifolds and subsequently express the original high-dimensional space with fewer parameterizing variables. Principal component analysis (PCA) is one of the dimensionality reduction methods that can be used to obtain LDMs. PCA does not make prior assumptions about the parameterizing variables and retrieves them empirically from the training data. In this paper, we show that PCA applied in local clusters of data (local PCA) is capable of detecting the intrinsic parameterization of the thermo-chemical state-space. We first demonstrate that utilizing three common combustion models of varying complexity: the Burke-Schumann model, the chemical equilibrium model and the homogeneous reactor. Parameterization of these models is known a priori which allows for benchmarking with the local PCA approach. We further extend the application of local PCA to a more challenging case of a turbulent non-premixed -heptane/air jet flame for which the parameterization is no longer obvious. Our results suggest that meaningful parameterization can be obtained also for more complex datasets. We show that local PCA finds variables that can be linked to local stoichiometry, reaction progress and soot formation processes.

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“…Abdulrahman et al [26] studied distributed flame using LES/ and found that the variation in inflow air temperature and the momentum ratio of air and fuel jets has a significant effect on the combustion. Li et al [27,28] studied MILD combustion using LES/PaSR model and found that autoignition and flame-like structures both play important roles in the combustion. Duwig's group conducted a sequence of works [29,30,31,32,33,34].…”

Section: Introductionmentioning

confidence: 99%