A new model for predicting antiknock quality of hydrocarbon fuel blends. (1st January 2019)
- Record Type:
- Journal Article
- Title:
- A new model for predicting antiknock quality of hydrocarbon fuel blends. (1st January 2019)
- Main Title:
- A new model for predicting antiknock quality of hydrocarbon fuel blends
- Authors:
- Santos, Dinarte
Bassani, Irionson Antônio
da Silva, Claudio Ávila
Velásquez, José Antonio - Abstract:
- Highlights: A blending rule to compute CCRs and ONs of fuel blends was developed. The developed model is based on the underlying physics of the knocking phenomenon. Fuel knocking propensity was expressed as a power-law function of the CCR. MONs of paraffinic fuel blends were predicted with standard error less than 0.5. RONs of LPG mixtures were predicted with standard error of 0.7 ON-units. Abstract: A procedure for predicting the Critical Compression Ratio (CCR) and the Octane Number (ON) of hydrocarbon fuel blends is presented in this work. Compositional data as well as antiknock characteristics and thermo-physical properties of the constituent hydrocarbons are taken as input parameters for this calculation. The proposed methodology was developed by considering single-step kinetics for the pre-flame reactions taking place within the combustion chamber of the CFR engine, which is the standard apparatus used in ON evaluation tests. Furthermore, a thermodynamic model was used to describe the relevant processes the in-cylinder fuel-air mixture undergoes prior to the occurrence of knock. In order to validate the proposed method, CCRs of Primary Reference Fuel (PRF) mixtures; Motor ONs (MONs) of paraffinic fuels; and Research ONs (RONs) of Liquefied Petroleum Gas (LPG) fuels were computed and compared with experimental data reported in literature. The maximal absolute error and the root mean square deviation found were, respectively, 0.084 and 0.047 for the CCR of PRF mixtures;Highlights: A blending rule to compute CCRs and ONs of fuel blends was developed. The developed model is based on the underlying physics of the knocking phenomenon. Fuel knocking propensity was expressed as a power-law function of the CCR. MONs of paraffinic fuel blends were predicted with standard error less than 0.5. RONs of LPG mixtures were predicted with standard error of 0.7 ON-units. Abstract: A procedure for predicting the Critical Compression Ratio (CCR) and the Octane Number (ON) of hydrocarbon fuel blends is presented in this work. Compositional data as well as antiknock characteristics and thermo-physical properties of the constituent hydrocarbons are taken as input parameters for this calculation. The proposed methodology was developed by considering single-step kinetics for the pre-flame reactions taking place within the combustion chamber of the CFR engine, which is the standard apparatus used in ON evaluation tests. Furthermore, a thermodynamic model was used to describe the relevant processes the in-cylinder fuel-air mixture undergoes prior to the occurrence of knock. In order to validate the proposed method, CCRs of Primary Reference Fuel (PRF) mixtures; Motor ONs (MONs) of paraffinic fuels; and Research ONs (RONs) of Liquefied Petroleum Gas (LPG) fuels were computed and compared with experimental data reported in literature. The maximal absolute error and the root mean square deviation found were, respectively, 0.084 and 0.047 for the CCR of PRF mixtures; 1.6 and 0.60 for the MONs of paraffinic fuels; and 1.45 and 0.70 for the RONs of LPG fuels. … (more)
- Is Part Of:
- Fuel. Volume 235(2019)
- Journal:
- Fuel
- Issue:
- Volume 235(2019)
- Issue Display:
- Volume 235, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 235
- Issue:
- 2019
- Issue Sort Value:
- 2019-0235-2019-0000
- Page Start:
- 208
- Page End:
- 217
- Publication Date:
- 2019-01-01
- Subjects:
- Fuel antiknock quality -- Octane number -- Critical compression ratio -- Octane blending rule -- Knock in spark ignition engines
Fuel -- Periodicals
Coal -- Periodicals
Coal
Fuel
Periodicals
662.6 - Journal URLs:
- http://www.sciencedirect.com/science/journal/latest/00162361 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.fuel.2018.07.068 ↗
- Languages:
- English
- ISSNs:
- 0016-2361
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4048.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20891.xml