Issue |
E3S Web Conf.
Volume 312, 2021
76th Italian National Congress ATI (ATI 2021)
|
|
---|---|---|
Article Number | 07003 | |
Number of page(s) | 14 | |
Section | Propulsion Systems for Sustainable Mobility | |
DOI | https://doi.org/10.1051/e3sconf/202131207003 | |
Published online | 22 October 2021 |
A Numerical Exploration of Engine Combustion Using Toluene Reference Fuel and Hydrogen Mixtures
Department of Engineering “Enzo Ferrari”, University of Modena and Reggio Emilia, Modena 41125, Italy
* Corresponding author: alessio.barbato@unimore.it
Hydrogen-fueled internal combustion engines (H2ICEs) are capable of operating over a wide range of equivalence ratios: from ultra-lean mode to stoichiometric conditions. However, they provide maximum thermal efficiency and minimum NOx emissions if operated lean. Although NOx is produced, H2ICEs generate little or no CO, CO2, SO2, HC, or PM emissions. The main limitation to pure hydrogen fueling is power density. To overcome such an issue, mixtures of gasoline and hydrogen can be exploited, with small modifications to the engine feeding system. Due to the peculiar characteristics of hydrogen (in terms of thermophysical properties, molecular weight and propagating flame characteristics) care must be adopted when trying to address combustion using computational fluid dynamics (CFD) tools. In this work, we simulate the combustion of mixtures of toluene reference fuel (TRF) and hydrogen under largely different ratios. To simplify the problem, liquid and gaseous injections are neglected, and a premixed mixture at the inlet of the CFD domain is imposed. Due to the different laminar flame speeds of the mixture components, mass-fraction weighted in-house correlations based on chemical kinetics simulations are adopted. Outcomes are compared with those obtained using standard correlations and mixing rules available in most commercial CFD packages.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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