[HTML][HTML] Measurements and modelling of the three-dimensional near-field dispersion of particulate matter emitted from passenger ships in a port environment

MJ Haugen, S Gkantonas, I El Helou, R Pathania… - Atmospheric …, 2022 - Elsevier
The maritime sector poses significant challenges in controlling the emission of harmful
pollutants, such as particulate matter, and reducing their impact on coastal areas and the …

[HTML][HTML] A comparison between fossil and synthetic kerosene flames from the perspective of soot emissions in a swirl spray RQL burner

I El Helou, JM Foale, RS Pathania, R Ciardiello… - Fuel, 2023 - Elsevier
Swirl-stabilized turbulent spray flames operating at atmospheric pressure, with both a
conventional Jet-A kerosene ('A2') and a synthetic fuel blend ('C5') and radially-injected …

[HTML][HTML] Stochastic low-order modelling of hydrogen autoignition in a turbulent non-premixed flow

S Iavarone, S Gkantonas, E Mastorakos - Proceedings of the Combustion …, 2023 - Elsevier
Autoignition risk in initially non-premixed flowing systems, such as premixing ducts, must be
assessed to help the development of low-NO x systems and hydrogen combustors. Such …

Low-Order Autoignition Modeling for Hydrogen Transverse Jets

S Gkantonas, E Mastorakos - Journal of Propulsion and Power, 2023 - arc.aiaa.org
This paper presents a method for evaluating the risk of autoignition for the canonical
problem of an enclosed hydrogen jet in crossflow (JICF), which is highly relevant to the …

Estimation of Autoignition Propensity in Aeroderivative Gas Turbine Premixers Using Incompletely Stirred Reactor Network Modeling

S Gkantonas, S Jella, S Iavarone… - … for Gas Turbines …, 2022 - asmedigitalcollection.asme.org
The study of autoignition propensity in premixers for gas turbines is critical for their safe
operation and design. Although premixers can be analyzed using reacting computational …

Stochastic modelling for the effects of micromixing on soot in turbulent non-premixed flames

S Gkantonas, E Mastorakos - Combustion Theory and Modelling, 2024 - Taylor & Francis
The impact of micromixing and scalar dissipation rate (SDR) fluctuations on the evolution of
soot particle size distribution (PSD) dynamics in non-premixed turbulent flames is …

A Stochastic and Bayesian Inference Toolchain for Uncertainty and Risk Quantification of Rare Autoignition Events in Dry Low-Emission Premixers

S Yousefian, S Jella, P Versailles… - … for Gas Turbines …, 2022 - asmedigitalcollection.asme.org
Quantification of aleatoric uncertainties due to the inherent variabilities in operating
conditions and fuel composition is essential for designing and improving premixers in dry …

Quantification of Autoignition Risk in Aeroderivative Gas Turbine Premixers Using Incompletely Stirred Reactor and Surrogate Modeling

S Iavarone, S Gkantonas, S Jella… - … for Gas Turbines …, 2022 - asmedigitalcollection.asme.org
The design and operation of premixers for gas turbines must deal with the possibility of
relatively rare events causing dangerous autoignition (AI). Rare AI events may occur in the …

Prediction of soot for pressurized turbulent kerosene-air diffusion flames using method of moments

S Bhunia, P Aghalayam - Energy Sources, Part A: Recovery …, 2024 - Taylor & Francis
ABSTRACT A comprehensive CFD model is developed to predict soot for a turbulent
kerosene-air diffusion flame. The method of moments (MOM) soot model has better …

[PDF][PDF] Incompletely Stirred Reactor Network modeling for the estimation of turbulent non-premixed autoignition

S Iavarone, S Gkantonas, E Mastorakos - International Colloquium on the …, 2022 - icders.org
Autoignition in turbulent reactive flows is a lingering problem of fundamental importance and
practical interest. The understanding of the complex interactions between turbulence, micro …