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Predicting the effect of pressure on biodiesel density at pressures of up to 200 MPa based on fatty acid alkyl ester profiles and density values at atmospheric pressure
- Source :
- Fuel, Fuel, Elsevier, 2020, 281, pp.118767. ⟨10.1016/j.fuel.2020.118767⟩
- Publication Year :
- 2020
- Publisher :
- HAL CCSD, 2020.
-
Abstract
- The purpose of the current study is to propose a procedure to predict the effect of pressure on biodiesel density based on fatty acid alkyl ester profiles and density values at atmospheric pressure. Based on a Murnaghan equation of state to describe the effects of pressure on density and a group-contribution method to factor in the diversity of fatty acid alkyl ester components in biodiesels, the method is applicable up to 200 MPa in a wide temperature range from 280 to 400 K. Comparison of results with experimental data show that the method provides reliable high pressure predictions for biodiesels and biodiesel blends. Typical deviations calculated between the proposed method and experimental data are 0.05% for Fatty Acid Methyl Esters and 0.04% for Fatty Acid Ethyl Esters in terms of Average Absolute Deviation, with maximum deviations of the same order of magnitude as those of experimental uncertainties.
- Subjects :
- 020209 energy
General Chemical Engineering
Analytical chemistry
Murnaghan equation of state
Energy Engineering and Power Technology
02 engineering and technology
7. Clean energy
Density based
020401 chemical engineering
0202 electrical engineering, electronic engineering, information engineering
[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering
0204 chemical engineering
Alkyl
ComputingMilieux_MISCELLANEOUS
chemistry.chemical_classification
Biodiesel
Atmospheric pressure
[SPI.FLUID]Engineering Sciences [physics]/Reactive fluid environment
Organic Chemistry
food and beverages
Fatty acid
Atmospheric temperature range
Fuel Technology
chemistry
13. Climate action
Order of magnitude
Subjects
Details
- Language :
- English
- ISSN :
- 00162361 and 18737153
- Database :
- OpenAIRE
- Journal :
- Fuel, Fuel, Elsevier, 2020, 281, pp.118767. ⟨10.1016/j.fuel.2020.118767⟩
- Accession number :
- edsair.doi.dedup.....88fb359440e25527fb960c8d067d53b1
- Full Text :
- https://doi.org/10.1016/j.fuel.2020.118767⟩