Predictive models of laminar flame speed in NH3/H2/O3/air mixtures using multi-gene genetic programming under varied fuelling conditions

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{ALISHAH:2024:fuel,

• author = "Zubair {Ali Shah} and G. Marseglia and M. G. {De Giorgi}",
• title = "Predictive models of laminar flame speed in {NH3/H2/O3/air} mixtures using multi-gene genetic programming under varied fuelling conditions",
• journal = "Fuel",
• volume = "368",
• pages = "131652",
• year = "2024",
• ISSN = "0016-2361",
• DOI = "doi:10.1016/j.fuel.2024.131652",
• URL = "https://www.sciencedirect.com/science/article/pii/S0016236124008007",
• keywords = "genetic algorithms, genetic programming, NH, H, Laminar Flame Speed (LFS), Ignition Delay Time (IDT), Ozone (O), Multi-gene genetic programming",
• abstract = "The primary aim of this study is to develop and validate a novel multi-gene genetic programming approach for accurately predicting Laminar Flame Speed (LFS) in ammonia (NH3)/hydrogen (H2)/air mixtures, a key aspect in the advancement of carbon-free fuel technologies. Ammonia, particularly when blended with hydrogen, presents significant potential as a carbon-free fuel due to its enhanced reactivity. This research not only investigates the effects of hydrogen concentration, initial temperature, and pressure on LFS and Ignition Delay Time (IDT) but also explores the impact of oxidizing agents like ozone (O3) in augmenting NH3 combustion. A modified reaction mechanism was implemented and validated through parametric analysis. Main findings demonstrate that IDT decreases with higher hydrogen concentrations, increased initial temperature, and initial pressure, although the influence of pressure decreases above 10 atm. Conversely, at lower temperatures (below 1200 K) and higher hydrogen concentrations (30 percent and 50 percent), the dominance of H2 chemistry can negatively impact initial pressure. LFS increases with higher temperature and hydrogen concentration, but decreases under elevated pressure, with its effect becoming negligible above 5 atm. An optimized equivalence ratio (?) range of 1.10 - 1.15 is identified for efficient combustion. Introducing ozone into the oxidizer notably improves LFS in NH3/H2/air mixtures, with the addition of 0.01 ozone mirroring the effect of a 10 percent hydrogen addition under normal conditions. The study's fundamental contribution is the development of a multi-gene genetic algorithm, showcasing the correlation between predicted LFS values and actual values derived from chemkin simulations. The successful validation of this methodology across various case studies underscores its potential as a robust tool in zero-carbon combustion applications, marking a significant stride in the field",

}

Genetic Programming entries for Zubair Ali Shah G Marseglia Maria Grazia De Giorgi

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