Modeling of vegetable oils cloud point, pour point, cetane number and iodine number from their composition using genetic programming
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- @Article{ALVISO:2021:Fuel,
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author = "Dario Alviso and Cristhian Zarate and Thomas Duriez",
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title = "Modeling of vegetable oils cloud point, pour point,
cetane number and iodine number from their composition
using genetic programming",
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journal = "Fuel",
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volume = "284",
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pages = "119026",
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year = "2021",
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ISSN = "0016-2361",
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DOI = "doi:10.1016/j.fuel.2020.119026",
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URL = "https://www.sciencedirect.com/science/article/pii/S0016236120320226",
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keywords = "genetic algorithms, genetic programming, Vegetable
oils, Fatty acid, Cetane number, Iodine number, Cloud
point, Pour point",
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abstract = "Vegetable oils (VOs) are composed of 90-98percent of
triglycerides, i.e. esters composed of three fatty
acids and glycerol, and small amounts of mono- and
di-glycerides. Due to their physico-chemical
properties, VOs have been considered for uses
especially in large ships, in stationary engines and
low and medium speed diesel engines, in pure form or in
blends with fuel oil, diesel, biodiesel and alcohols.
There are about 350 VOs with potential as fuel sources,
and for most of them, physico-chemical properties
values have not yet been measured. In this context,
regression models using only VOs fatty acid composition
are very useful. In the present paper, regression
analysis of VOs cloud point (CP), pour point (PP),
cetane number (CN) and iodine number (IN) as a function
of saturated and unsaturated fatty acids is conducted.
The study is done by using 4 experimental databases
including 88 different data of VOs. Concerning the
regression technique, genetic programming (GP) has been
chosen. The cost function of GP is defined to minimize
the Mean Absolute Error (MAE) between experimental and
predicted values of each property. The resulting GP
models consisting of terms including saturated and
unsaturated fatty acids reproduce correctly the
dependencies of all four properties on those acids. And
they are validated by showing that their results are in
good agreement to the experimental databases. In fact,
MAE values of the proposed models with respect to the
databases for CP, PP, CN and IN are lower than 4.51
degreeC, 4.54 degreeC, 3.64 and 8.01, respectively",
- }
Genetic Programming entries for
Dario Alviso
Cristhian Zarate
Thomas Duriez
Citations