Application of machine learning for filtered density function closure in MILD combustion

ZX Chen, S Iavarone, G Ghiasi, V Kannan… - Combustion and …, 2021 - Elsevier
A machine learning algorithm, the deep neural network (DNN) 1, is trained using a
comprehensive direct numerical simulation (DNS) dataset to predict joint filtered density …

New extended eddy dissipation concept model for flameless combustion in furnaces

N Romero-Anton, X Huang, H Bao… - Combustion and …, 2020 - Elsevier
Flameless combustion, also called MILD combustion (Moderate or Intense Low Oxygen
Dilution), is a technology that reduces NO x emissions and improves combustion efficiency …

[HTML][HTML] Modelling of MILD combustion in a lab-scale furnace with an extended FGM model including turbulence–radiation interaction

X Huang, MJ Tummers, EH Van Veen… - Combustion and …, 2022 - Elsevier
The flamelet generated manifold (FGM) model is suitable for moderate or intense low
oxygen dilution (MILD) combustion provided the flamelets underlying the manifold include …

[HTML][HTML] Including detailed chemistry features in the modeling of emerging low-temperature reactive flows: A review on the application to diluted and MILD combustion …

G Sorrentino, GB Ariemma, F Ferraro… - Applications in Energy and …, 2024 - Elsevier
Developing and optimizing new reactive systems with carbon-neutral fuels like biofuels, e-
fuel, hydrogen, or ammonia is crucial for sustainable energy. This requires advanced …

The role of dilution level and canonical configuration in the modeling of MILD combustion systems with internal recirculation

G Ceriello, G Sorrentino, A Cavaliere, P Sabia… - Fuel, 2020 - Elsevier
MILD combustion regime emerged as one of the most promising technology to ensure low
pollutant emissions and large fuel flexibility. Large-scale use of such technology requires …

A novel method to improve stability of MILD combustion in a highly heat-extracted furnace

F Wang, P Li, J Mi, Z Shu - Fuel, 2021 - Elsevier
In industrial boilers, a large amount of combustion heat is typically extracted from water-
cooled metallic walls or water tubes. This feature is unfavourable for establishing a relatively …

Effect of equivalence ratio and staging ratio on the methane MILD combustion in dual-stage combustor

M Huang, R Li, J Xu, S Cheng, H Deng, Z Rong, Y Li… - Fuel, 2022 - Elsevier
The effect of equivalence ratio and staging ratio on the CH 4 MILD (Moderate or Intense Low-
oxygen Dilution) combustion was examined in an axially staged MILD combustor. The …

Physical insights on MILD combustion from DNS

N Swaminathan - Frontiers in Mechanical Engineering, 2019 - frontiersin.org
MILD combustion is gaining interest in recent times because it is attractive for green
combustion technology. However, its fundamental aspects are not well-understood. Recent …

Modelling heat loss effects in the large eddy simulation of a lean swirl-stabilised flame

JC Massey, ZX Chen, N Swaminathan - Flow, Turbulence and …, 2021 - Springer
The flame in a gas turbine model combustor close to blow-off is studied using large eddy
simulation with the objective of investigating the sensitivity of including different heat loss …

Thermo-chemical manifold reduction for tabulated chemistry modeling. Temperature and dilution constraints for smooth combustion reactors

G Sorrentino, G Ceriello, A Cavaliere… - Proceedings of the …, 2021 - Elsevier
New scenarios for energy systems pointed out the importance of designing innovative
combustion systems. In this context, high levels of internal dilution and preheating show …