Optimization of biodiesel production from clary sage oil: A Taguchi approach

被引:0
作者
Osman, Abdeen [1 ]
Al Refaie, Bilal [1 ]
Youssef, Khaled El Haj [1 ]
Abuhatab, Mahmoud [1 ]
Hammoudeh, Suhib [1 ]
Elnajjar, E. [2 ]
Alkhedher, Mohammad [1 ]
Purayil, S. T. P. [2 ]
机构
[1] Abu Dhabi Univ, Mech & Ind Engn Dept, Abu Dhabi, U Arab Emirates
[2] UAE Univ, Mech & Aerosp Engn Dept, Al Ain, U Arab Emirates
关键词
Clary sage oil; Transesterification; Biodiesel; Taguchi; ANOVA; L. SEED OIL; FATTY-ACID; HETEROGENEOUS CATALYST; SOYBEAN OIL; TRANSESTERIFICATION; CARBON; PERFORMANCE; EXTRACTION; PARAMETERS; BIOMASS;
D O I
10.1016/j.biombioe.2025.108119
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
The transition to renewable alternatives is imperative to address the global fuel crisis, environmental degradation, and the depletion of fossil fuel reserves. This study investigates the production of biodiesel from Clary sage seed oil, with process optimization conducted using the L9 Taguchi orthogonal array. Due to a high free fatty acid content of 5.07 %, a two-step transesterification process was employed, involving sulfuric acid-catalyzed esterification followed by sodium hydroxide-catalyzed transesterification. Optimal conditions were identified as 0.5 wt% catalyst loading, a reaction time of 60 min, a temperature of 70 degrees C, and a methanol-to-oil molar ratio of 6:1. The contributions of these parameters to biodiesel yield were 86.72 %, 10.58 %, 1.57 %, and 1.13 %, respectively. Under these conditions, a theoretical biodiesel yield of 95.12 % was predicted, closely matching the experimental yield of 94.86 %, with only a 0.26 % deviation. Gas chromatography analysis confirmed the presence of fatty acid methyl esters, with linolenic acid (46.96 %) as the predominant component, followed by linoleic (19.44 %) and oleic acids (15.34 %). The physicochemical properties of the resulting biodiesel were found to be in close agreement with EN 14214 standards, confirming its suitability as a sustainable fuel alternative.
引用
收藏
页数:11
相关论文
共 80 条
[1]   Sage oil extraction and optimization by response surface methodology [J].
Akalin, Mehmet K. ;
Tekin, Kubilay ;
Akyuz, Mehmet ;
Karagoz, Selhan .
INDUSTRIAL CROPS AND PRODUCTS, 2015, 76 :829-835
[2]   Production of biodiesel: possibilities and challenges [J].
Al-Zuhair, Sulaiman .
BIOFUELS BIOPRODUCTS & BIOREFINING-BIOFPR, 2007, 1 (01) :57-66
[3]   Snail shell derived magnetic nanocatalysts for biodiesel production: Process optimization through response surface methodology, kinetics, and thermodynamic studies [J].
Ao, Supongsenla ;
Greer, Heather F. ;
Alghamdi, Lana A. ;
Rashid, Umer ;
Halder, Gopinath ;
Wheatley, Andrew E. H. ;
Rokhum, Samuel Lalthazuala .
BIOMASS & BIOENERGY, 2024, 191
[4]   The effects of catalysts in biodiesel production: A review [J].
Atadashi, I. M. ;
Aroua, M. K. ;
Aziz, A. R. Abdul ;
Sulaiman, N. M. N. .
JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY, 2013, 19 (01) :14-26
[5]  
Ayoola AA, 2019, CHEM DATA COLLECT, V22, DOI [10.1016/j.cdc.2019.100238, DOI 10.1016/J.CDC.2019.100238]
[6]   Artificial intelligence-driven modeling of biodiesel production from fats, oils, and grease (FOG) with process optimization via particle swarm optimization [J].
Azhar, Badril ;
Taipabu, Muhammad Ikhsan ;
Avian, Cries ;
Viswanathan, Karthickeyan ;
Wu, Wei ;
Lau, Raymond .
ENERGY CONVERSION AND MANAGEMENT-X, 2025, 26
[7]   Waste animal fats as feedstocks for biodiesel production [J].
Bankovic-Ilie, Ivana B. ;
Stojkovic, Ivan J. ;
Stamenkovic, Olivera S. ;
Veljkovic, Vlada B. ;
Hung, Yung-Tse .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2014, 32 :238-254
[8]   Changes in fatty acid and essential oil composition of sage (Salvia officinalis L.) leaves under NaCl stress [J].
Ben Taarit, Mouna ;
Msaada, Kamel ;
Hosni, Karim ;
Marzouk, Brahim .
FOOD CHEMISTRY, 2010, 119 (03) :951-956
[9]   Biodiesel production from crude Jatropha curcas L. seed oil with a high content of free fatty acids [J].
Berchmans, Hanny Johanes ;
Hirata, Shizuko .
BIORESOURCE TECHNOLOGY, 2008, 99 (06) :1716-1721
[10]   Performance evaluation of adaptive neuro-fuzzy inference system, artificial neural network and response surface methodology in modeling biodiesel synthesis from palm kernel oil by transesterification [J].
Betiku, E. ;
Osunleke, A. S. ;
Odude, V. O. ;
Bamimore, A. ;
Oladipo, B. ;
Okeleye, A. A. ;
Ishola, N. B. .
BIOFUELS-UK, 2021, 12 (03) :339-354