Microalgal Species Selection for Biodiesel Production Based on Fuel Properties Derived from Fatty Acid Profiles
Physical and chemical properties of biodiesel are influenced by structural features of the fatty acids, such as chain length, degree of unsaturation and branching of the carbon chain. This study investigated if microalgal fatty acid profiles are suitable for biodiesel characterization and species se...
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Online Access: | http://www.mdpi.com/1996-1073/6/11/5676 |
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doaj-f1ba61fe275a4359a4d8809a2d7df66d2020-11-25T01:36:45ZengMDPI AGEnergies1996-10732013-10-016115676570210.3390/en6115676Microalgal Species Selection for Biodiesel Production Based on Fuel Properties Derived from Fatty Acid ProfilesMd. Nurun NabiKirsten HeimannGodwin A. AyokoRichard J. BrownMuhammad Aminul IslamMarie MagnussonPhysical and chemical properties of biodiesel are influenced by structural features of the fatty acids, such as chain length, degree of unsaturation and branching of the carbon chain. This study investigated if microalgal fatty acid profiles are suitable for biodiesel characterization and species selection through Preference Ranking Organisation Method for Enrichment Evaluation (PROMETHEE) and Graphical Analysis for Interactive Assistance (GAIA) analysis. Fatty acid methyl ester (FAME) profiles were used to calculate the likely key chemical and physical properties of the biodiesel [cetane number (CN), iodine value (IV), cold filter plugging point, density, kinematic viscosity, higher heating value] of nine microalgal species (this study) and twelve species from the literature, selected for their suitability for cultivation in subtropical climates. An equal-parameter weighted (PROMETHEE-GAIA) ranked Nannochloropsis oculata, Extubocellulus sp. and Biddulphia sp. highest; the only species meeting the EN14214 and ASTM D6751-02 biodiesel standards, except for the double bond limit in the EN14214. Chlorella vulgaris outranked N. oculata when the twelve microalgae were included. Culture growth phase (stationary) and, to a lesser extent, nutrient provision affected CN and IV values of N. oculata due to lower eicosapentaenoic acid (EPA) contents. Application of a polyunsaturated fatty acid (PUFA) weighting to saturation led to a lower ranking of species exceeding the double bond EN14214 thresholds. In summary, CN, IV, C18:3 and double bond limits were the strongest drivers in equal biodiesel parameter-weighted PROMETHEE analysis.http://www.mdpi.com/1996-1073/6/11/5676Nannochloropsis oculatacetane numbercold filter plugging pointkinematic viscositybiofuel propertiesPreference Ranking Organisation Method for Enrichment Evaluation-Graphical Analysis for Interactive Assistance |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Md. Nurun Nabi Kirsten Heimann Godwin A. Ayoko Richard J. Brown Muhammad Aminul Islam Marie Magnusson |
spellingShingle |
Md. Nurun Nabi Kirsten Heimann Godwin A. Ayoko Richard J. Brown Muhammad Aminul Islam Marie Magnusson Microalgal Species Selection for Biodiesel Production Based on Fuel Properties Derived from Fatty Acid Profiles Energies Nannochloropsis oculata cetane number cold filter plugging point kinematic viscosity biofuel properties Preference Ranking Organisation Method for Enrichment Evaluation-Graphical Analysis for Interactive Assistance |
author_facet |
Md. Nurun Nabi Kirsten Heimann Godwin A. Ayoko Richard J. Brown Muhammad Aminul Islam Marie Magnusson |
author_sort |
Md. Nurun Nabi |
title |
Microalgal Species Selection for Biodiesel Production Based on Fuel Properties Derived from Fatty Acid Profiles |
title_short |
Microalgal Species Selection for Biodiesel Production Based on Fuel Properties Derived from Fatty Acid Profiles |
title_full |
Microalgal Species Selection for Biodiesel Production Based on Fuel Properties Derived from Fatty Acid Profiles |
title_fullStr |
Microalgal Species Selection for Biodiesel Production Based on Fuel Properties Derived from Fatty Acid Profiles |
title_full_unstemmed |
Microalgal Species Selection for Biodiesel Production Based on Fuel Properties Derived from Fatty Acid Profiles |
title_sort |
microalgal species selection for biodiesel production based on fuel properties derived from fatty acid profiles |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2013-10-01 |
description |
Physical and chemical properties of biodiesel are influenced by structural features of the fatty acids, such as chain length, degree of unsaturation and branching of the carbon chain. This study investigated if microalgal fatty acid profiles are suitable for biodiesel characterization and species selection through Preference Ranking Organisation Method for Enrichment Evaluation (PROMETHEE) and Graphical Analysis for Interactive Assistance (GAIA) analysis. Fatty acid methyl ester (FAME) profiles were used to calculate the likely key chemical and physical properties of the biodiesel [cetane number (CN), iodine value (IV), cold filter plugging point, density, kinematic viscosity, higher heating value] of nine microalgal species (this study) and twelve species from the literature, selected for their suitability for cultivation in subtropical climates. An equal-parameter weighted (PROMETHEE-GAIA) ranked Nannochloropsis oculata, Extubocellulus sp. and Biddulphia sp. highest; the only species meeting the EN14214 and ASTM D6751-02 biodiesel standards, except for the double bond limit in the EN14214. Chlorella vulgaris outranked N. oculata when the twelve microalgae were included. Culture growth phase (stationary) and, to a lesser extent, nutrient provision affected CN and IV values of N. oculata due to lower eicosapentaenoic acid (EPA) contents. Application of a polyunsaturated fatty acid (PUFA) weighting to saturation led to a lower ranking of species exceeding the double bond EN14214 thresholds. In summary, CN, IV, C18:3 and double bond limits were the strongest drivers in equal biodiesel parameter-weighted PROMETHEE analysis. |
topic |
Nannochloropsis oculata cetane number cold filter plugging point kinematic viscosity biofuel properties Preference Ranking Organisation Method for Enrichment Evaluation-Graphical Analysis for Interactive Assistance |
url |
http://www.mdpi.com/1996-1073/6/11/5676 |
work_keys_str_mv |
AT mdnurunnabi microalgalspeciesselectionforbiodieselproductionbasedonfuelpropertiesderivedfromfattyacidprofiles AT kirstenheimann microalgalspeciesselectionforbiodieselproductionbasedonfuelpropertiesderivedfromfattyacidprofiles AT godwinaayoko microalgalspeciesselectionforbiodieselproductionbasedonfuelpropertiesderivedfromfattyacidprofiles AT richardjbrown microalgalspeciesselectionforbiodieselproductionbasedonfuelpropertiesderivedfromfattyacidprofiles AT muhammadaminulislam microalgalspeciesselectionforbiodieselproductionbasedonfuelpropertiesderivedfromfattyacidprofiles AT mariemagnusson microalgalspeciesselectionforbiodieselproductionbasedonfuelpropertiesderivedfromfattyacidprofiles |
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