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Título
Symbolic Analysis of the Cycle-to-Cycle Variability of a Gasoline–Hydrogen Fueled Spark Engine Model
Autor(es)
Materia
Physics
Quasi-dimensional simulations
Cycle-to-cycle variability
Symbolic analysis
Information theory
Gasoline–hydrogen blends
Fecha de publicación
2018-04-18
Editor
MDPI
Citación
Reyes-Ramírez, I.; Martínez-Boggio, S.D.; Curto-Risso, P.L.; Medina, A.; Calvo Hernández, A.; Guzmán-Vargas, L. (2018). Symbolic Analysis of the Cycle-to-Cycle Variability of a Gasoline–Hydrogen Fueled Spark Engine Model. Energies, 11, 968
Resumen
[EN]An study of temporal organization of the cycle-to-cycle variability (CCV) in spark ignition
engines fueled with gasoline–hydrogen blends is presented. First, long time series are generated
by means of a quasi-dimensional model incorporating the key chemical and physical components,
leading to variability in the time evolution of energetic functions. The alterations in the combustion
process, for instance the composition of reactants, may lead to quantitative changes in the time
evolution of the main engine variables. It has been observed that the presence of hydrogen in the
fuel mixture leads to an increased laminar flame speed, with a corresponding decrease in CCV
dispersion. Here, the effects of different hydrogen concentrations in the fuel are considered. First, it is
observed that return maps of heat release sequences exhibit different patterns for different hydrogen
concentrations and fuel–air ratios. Second, a symbolic analysis is used to characterize time series.
The symbolic method is based on the probability of occurrence of consecutive states (a word) in a
symbolic sequence histogram (SSH). Modified Shannon entropy is computed in order to determine
the adequate word length. Results reveal the presence of non-random patterns in the sequences and
soft transitions between states. Moreover, the general behavior of CCV simulations results and three
types of synthetic noises: white, log-normal, and a noisy logistic map, are compared. This analysis
reveals that the non-random features observed in heat release sequences are quite different from
synthetic noises.
URI
ISSN
1996-1073
DOI
10.3390/en11040968
Versión del editor
Colecciones
- GIOETFE. Artículos [53]