Correlations for the ignition characteristics of six different fuels and their application to predict ignition delays under transient thermodynamic conditions

• Published in: Energy conversion and management Vol. 152; pp. 124 - 135
• Main Authors: Desantes, José M., Bermúdez, Vicente, López, J. Javier, López-Pintor, Darío
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 15.11.2017; Elsevier Science Ltd
• Subjects: Autoignition; Compression; Computer simulation; Correlation; Critical concentration; Data bases; Data processing; Delay; Deviation; Dodecane; Equivalence ratio; Fuels; Ignition; Ignition correlations; Ignition delay; Low temperature; Low temperature physics; Paper machines; Predictions; Pressure; Temperature effects; Thermodynamics; Autoignition; Critical concentration; Ignition correlations; Ignition delay
• ISSN: 0196-8904; 1879-2227
• DOI: 10.1016/j.enconman.2017.09.030

•The ignition characteristics of 6 fuels have been correlated.•Correlations have been used to predict the ignition delay under engine-like conditions.•20% deviation has been found between correlations and the original database.•1% deviation has been found between predictions from correlations and from the original database. The ignition characteristics of six different fuels have been correlated as a function of the temperature, pressure, equivalence ratio and oxygen molar fraction in this investigation. More specifically, the ignition delay referred to cool flames, the high-temperature ignition delay and the critical concentrations and ignition times of HO2 and CH2O have been parameterized for n-dodecane, PRF0, PRF25, PRF50, PRF75 and PRF100. To do so, a wide database of ignition data of the aforementioned fuels has been generated by means of chemical simulations in CHEMKIN, solving a detailed mechanism for PRF mixtures and a reduced mechanism for n-dodecane. In fact, in-cylinder engine-like conditions reached in a Rapid Compression Expansion Machine (RCEM) have been replicated. The mathematical correlations have shown a relative deviation around 20% with the database in the low-temperature, low-pressure zone, which is the typical accuracy of usual correlations for the ignition delay. Finally, the ignition delay under transient conditions measured in the RCEM has been predicted by means of different integral methods coupled to both the proposed correlations and the generated database. I t has been found that deviations between the predictions obtained with the correlations or with the database are lower than 1%. This means that the correlations are accurate enough to predict the ignition time in spite of showing high deviation with the database, since the low-temperature, low-pressure zone has a minor contribution to the ignition delay.