MILD combustion of low calorific value gases

S Zhou, B Yan, M Mansour, Z Li, Z Cheng, J Tao… - Progress in Energy and …, 2024 - Elsevier
The utilization of low calorific value gases (LCVG) in combustion devices presents particular
challenges in terms of ignition and sustained combustion stability due to the presence of non …

Analysis and neural network prediction of combustion stability for industrial gases

L Zhang, Y Xue, Q Xie, Z Ren - Fuel, 2021 - Elsevier
Combustion of industrial gases has gained increasing attention in the past decades. Great
challenges for reliable industrial operation are posed by combustion instability. In this study …

Numerical study on self-ignition temperature of biomass gasified gas for the application of MILD combustion

S Zhou, H Su, Z Wu, X Zhu, B Yan, G Chen - Fuel Processing Technology, 2022 - Elsevier
Moderate and intense low-oxygen dilution (MILD) combustion of biomass gasified gas
(BGG) has great potential. However, self-ignition temperature (T si) of BGG is not clear …

Numerical investigation of the effects of swirling hot co-flow on MILD combustion of a hydrogen–methane blend

SM Mousavi, R Kamali… - Journal of …, 2020 - asmedigitalcollection.asme.org
This paper examines the effects of swirl hot co-flow on the combustion behavior of a
moderate or intense low oxygen dilution (MILD) burner fueled by a mixture of methane and …

Understanding and interpreting laser diagnostics in flames: A review of experimental measurement techniques

MJ Evans, PR Medwell - Frontiers in Mechanical Engineering, 2019 - frontiersin.org
There is a wealth of existing experimental data of flames collected using laser diagnostics.
The primary objective of this review is to provide context and guidance in interpreting these …

Reinforcement Learning for Submodel Assignment in Adaptive Modeling of Turbulent Flames

T Yang, Y Yin, Q Liu, T Yu, Y Wang, H Zhou, Z Ren - AIAA Journal, 2024 - arc.aiaa.org
Reinforcement learning (RL), an unsupervised machine learning approach, is innovatively
introduced to turbulent combustion modeling and demonstrated through the automated …

Modern developments in filtered density function

S Sammak, Z Ren, P Givi - Modeling and Simulation of Turbulent Mixing …, 2020 - Springer
An overview is presented of recent developments in filtered density function (FDF)
methodology as utilized for large eddy simulation (LES) of turbulent flows. The review is …

LES/TPDF investigation of the role of reaction and diffusion timescales in the stabilization of a jet-in-hot-coflow CH4/H2 flame

H Zhou, T Yang, B Dally, Z Ren - Combustion and Flame, 2020 - Elsevier
Abstract Moderate or Intense Low oxygen Dilution (MILD) combustion is a promising
technology to meet the ever-stringent emission regulation while maintain high thermal …

Quantification of modeling uncertainties in turbulent flames through successive dimension reduction

N Wang, Q Xie, X Su, Z Ren - Combustion and Flame, 2020 - Elsevier
For turbulent flames involving intense turbulence-chemistry interaction, quantifying the
uncertainty originating from the parameters of chemical kinetics and physical models leads …

Micromixing models for PDF simulations of turbulent premixed flames

Z Ren, M Kuron, X Zhao, T Lu, E Hawkes… - Combustion Science …, 2019 - Taylor & Francis
Transported probability density function (TPDF) methods are attractive for modeling
turbulent flames as the highly nonlinear chemical reactions appear in closed form. The …