Optimization of formulation for surrogate fuels for diesel–biodiesel mixtures
Alternative or surrogate fuel is a carburant made up of a reduced number of constituents that emulate the characteristics and performance of a target fuel which may contain more than a thousand compounds. In order to overcome the composition complexity and permit the simulation of kinetic models, an...
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Académie des sciences
2021-10-01
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| Series: | Comptes Rendus. Chimie |
| Subjects: | |
| Online Access: | https://comptes-rendus.academie-sciences.fr/chimie/articles/10.5802/crchim.123/ |
| _version_ | 1797651370308796416 |
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| author | Kerras, Halima Outili, Nawel Loubar, Khaled Meniai, Abdeslam-Hassen |
| author_facet | Kerras, Halima Outili, Nawel Loubar, Khaled Meniai, Abdeslam-Hassen |
| author_sort | Kerras, Halima |
| collection | DOAJ |
| description | Alternative or surrogate fuel is a carburant made up of a reduced number of constituents that emulate the characteristics and performance of a target fuel which may contain more than a thousand compounds. In order to overcome the composition complexity and permit the simulation of kinetic models, an optimization of the surrogate fuel composition is necessary to reproduce physical and chemical properties of a target fuel. The main objective of the present research is to optimize a formulation for an alternative fuel that emulates a target fossil diesel (B0), and an obtained biodiesel (B100) from a transesterification of cooking vegetable oil. To enhance the application of biodiesel as an alternative solution to depleting fossil fuel, mixtures of diesel and several percentages of biofuel are also considered as target fuels, considering 5%, 10%, 20%, 50% and 80% of biodiesel, denoted respectively: B5, B10, B20, B50 and B80. The target properties considered in this work are the density at 15 °C, the viscosity at 40 °C and the cetane number using a palette of 18 components selected from previous works. The numerical method of the Generalized Reduced Gradient (GRG) is used to optimize the defined objective function. The results obtained showed that the optimized surrogates for fossil diesel, biodiesel and their blending agree well with target properties and all the optimized alternatives are composed of only the same three constituents, namely: 1-methylnaphthalene, isocetane and n-eicosane. |
| first_indexed | 2024-03-11T16:14:02Z |
| format | Article |
| id | doaj.art-373d7208ff3a4479a0fb950c48b3523f |
| institution | Directory Open Access Journal |
| issn | 1878-1543 |
| language | English |
| last_indexed | 2024-03-11T16:14:02Z |
| publishDate | 2021-10-01 |
| publisher | Académie des sciences |
| record_format | Article |
| series | Comptes Rendus. Chimie |
| spelling | doaj.art-373d7208ff3a4479a0fb950c48b3523f2023-10-24T14:22:59ZengAcadémie des sciencesComptes Rendus. Chimie1878-15432021-10-0124S111912910.5802/crchim.12310.5802/crchim.123Optimization of formulation for surrogate fuels for diesel–biodiesel mixturesKerras, Halima0Outili, Nawel1https://orcid.org/0000-0003-4616-4599Loubar, Khaled2https://orcid.org/0000-0003-1578-6475Meniai, Abdeslam-Hassen3https://orcid.org/0000-0002-0357-3512Laboratory of Environmental Engineering Processes (LIPE), Process Engineering Faculty, Constantine3 University, AlgeriaLaboratory of Environmental Engineering Processes (LIPE), Process Engineering Faculty, Constantine3 University, AlgeriaGEPEA, UMR6144, IMT Atlantique, FranceLaboratory of Environmental Engineering Processes (LIPE), Process Engineering Faculty, Constantine3 University, AlgeriaAlternative or surrogate fuel is a carburant made up of a reduced number of constituents that emulate the characteristics and performance of a target fuel which may contain more than a thousand compounds. In order to overcome the composition complexity and permit the simulation of kinetic models, an optimization of the surrogate fuel composition is necessary to reproduce physical and chemical properties of a target fuel. The main objective of the present research is to optimize a formulation for an alternative fuel that emulates a target fossil diesel (B0), and an obtained biodiesel (B100) from a transesterification of cooking vegetable oil. To enhance the application of biodiesel as an alternative solution to depleting fossil fuel, mixtures of diesel and several percentages of biofuel are also considered as target fuels, considering 5%, 10%, 20%, 50% and 80% of biodiesel, denoted respectively: B5, B10, B20, B50 and B80. The target properties considered in this work are the density at 15 °C, the viscosity at 40 °C and the cetane number using a palette of 18 components selected from previous works. The numerical method of the Generalized Reduced Gradient (GRG) is used to optimize the defined objective function. The results obtained showed that the optimized surrogates for fossil diesel, biodiesel and their blending agree well with target properties and all the optimized alternatives are composed of only the same three constituents, namely: 1-methylnaphthalene, isocetane and n-eicosane.https://comptes-rendus.academie-sciences.fr/chimie/articles/10.5802/crchim.123/Surrogate fuelFormulation optimizationDieselBiodieselTarget properties |
| spellingShingle | Kerras, Halima Outili, Nawel Loubar, Khaled Meniai, Abdeslam-Hassen Optimization of formulation for surrogate fuels for diesel–biodiesel mixtures Comptes Rendus. Chimie Surrogate fuel Formulation optimization Diesel Biodiesel Target properties |
| title | Optimization of formulation for surrogate fuels for diesel–biodiesel mixtures |
| title_full | Optimization of formulation for surrogate fuels for diesel–biodiesel mixtures |
| title_fullStr | Optimization of formulation for surrogate fuels for diesel–biodiesel mixtures |
| title_full_unstemmed | Optimization of formulation for surrogate fuels for diesel–biodiesel mixtures |
| title_short | Optimization of formulation for surrogate fuels for diesel–biodiesel mixtures |
| title_sort | optimization of formulation for surrogate fuels for diesel biodiesel mixtures |
| topic | Surrogate fuel Formulation optimization Diesel Biodiesel Target properties |
| url | https://comptes-rendus.academie-sciences.fr/chimie/articles/10.5802/crchim.123/ |
| work_keys_str_mv | AT kerrashalima optimizationofformulationforsurrogatefuelsfordieselbiodieselmixtures AT outilinawel optimizationofformulationforsurrogatefuelsfordieselbiodieselmixtures AT loubarkhaled optimizationofformulationforsurrogatefuelsfordieselbiodieselmixtures AT meniaiabdeslamhassen optimizationofformulationforsurrogatefuelsfordieselbiodieselmixtures |