Published December 2013 | Version v1
Journal article

Method for predicting the standard net heat of combustion for pure hydrocarbons from their molecular structure

Description

Highlights: • QSPR method predicts ΔHc∘ of pure hydrocarbons from their molecular structures alone. • The method is better than others in terms of simplicity and accuracy. • ΔHc∘ is calculated using a simple correlation. • The calculated values of 32 atom-type groups predict ΔHc∘ with 0.71% error and 0.998 R2. • The method is notable for being the first to predict ΔHc∘ of hydrocarbon isomers. - Abstract: A group contribution method is used to predict the standard net heat of combustion of pure hydrocarbons from their molecular structures. A multivariable nonlinear regression based on the least square method was used to arrive at a set of 32 atom-type structural groups that can best represent the standard net heat of combustion for about 452 pure hydrocarbon substances. The proposed method is very simple, requires no experimental data, and can predict the standard net heat of combustion from the knowledge of the molecular structure alone with an average absolute error of 0.71% and a correlation coefficient of 0.9982. The method can predict the standard net heat of combustion of hydrocarbon isomers as well

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enconman.2013.09.019

Additional details

Identifiers

DOI
10.1016/j.enconman.2013.09.019;
PII
S0196-8904(13)00556-6;

Publishing Information

Journal Title
Energy Conversion and Management
Journal Volume
76
Journal Page Range
p. 1143-1149
ISSN
0196-8904
CODEN
ECMADL

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
46004679
Subject category
S74: ATOMIC AND MOLECULAR PHYSICS;
Resource subtype / Literary indicator
Numerical Data
Descriptors DEI
ACCURACY; COMBUSTION HEAT; EXPERIMENTAL DATA; HYDROCARBONS; LEAST SQUARE FIT; MOLECULAR STRUCTURE; NONLINEAR PROBLEMS; REGRESSION ANALYSIS
Descriptors DEC
COMBUSTION PROPERTIES; DATA; ENERGY; ENTHALPY; HEAT; INFORMATION; MATHEMATICAL SOLUTIONS; MATHEMATICS; MAXIMUM-LIKELIHOOD FIT; NUMERICAL DATA; NUMERICAL SOLUTION; ORGANIC COMPOUNDS; PHYSICAL PROPERTIES; REACTION HEAT; STATISTICS; THERMODYNAMIC PROPERTIES

Optional Information

Copyright
Copyright (c) 2013 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.