Determination of upper flammability limits of CHO compounds in air at reference temperature and atmospheric pressure. (15th January 2017)

• Record Type: Journal Article
• Authors: Mendiburu, Andrés Z.; de Carvalho, João A.; Coronado, Christian R.
• Is Part Of: Fuel. Volume 188(2017)
• Page Start: 212
• Page End: 222
• Publication Date: 2017-01-15
• Subjects: Upper flammability limits -- CHO compounds -- Estimation -- Confidence interval; Fuel -- Periodicals; Coal -- Periodicals; Coal; Fuel; Periodicals; 662.6
• DOI: 10.1016/j.fuel.2016.10.009
• Languages: English
• ISSNs: 0016-2361

Abstract

Highlights: Method for determination of UFL in air of CHO compound. The method uses basic combustion theory. The method is simple and can be easily implemented. The 95% confidence intervals for each compound were determined. The method showed good accuracy in comparison with experimental data. Abstract: The objective of the present article was to develop and validate a method for the determination of the upper flammability limits (UFLs) in air, at atmospheric pressure and reference temperature, of flammable compounds containing carbon, hydrogen and oxygen in their molecules, called CHO compounds for simplicity. The developed method applies basic combustion theory and chemical equilibrium. The upper flammability limits are determined by correlating a parameter named θ, which is the ratio of the adiabatic flame temperature at the stoichiometric composition to the adiabatic flame temperature at the UFL composition. A total set of 208 CHO compounds was considered, it was divided into a correlation set of 136 compounds and a prediction set of 72 compounds. The method's accuracy was tested in terms of the average of the absolute values of the relative errors (AARE) and in terms of the squared correlation coefficient (R 2 ). Also, the 95% confidence interval was determined. For the correlation, prediction and total sets the AAREs were 9.66%, 7.63% and 8.95%, respectively. The R 2 was 0.9382 for the correlation set, 0.9188 for the prediction set, and 0.9346 for the total set.