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Catalytic deoxygenation with SO42--Fe2O3/Al2O3 catalyst: Optimization by Taguchi method

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dc.citedby4
dc.contributor.authorShafihi U.en_US
dc.contributor.authorHafriz R.S.R.M.en_US
dc.contributor.authorArifin N.A.en_US
dc.contributor.authorNor Shafizah I.en_US
dc.contributor.authorIdris A.en_US
dc.contributor.authorSalmiaton A.en_US
dc.contributor.authorRazali N.M.en_US
dc.contributor.authorid58111241700en_US
dc.contributor.authorid57204588040en_US
dc.contributor.authorid57195493347en_US
dc.contributor.authorid57208543128en_US
dc.contributor.authorid35576668200en_US
dc.contributor.authorid57193906995en_US
dc.contributor.authorid58111196100en_US
dc.date.accessioned2024-10-14T03:18:37Z
dc.date.available2024-10-14T03:18:37Z
dc.date.issued2023
dc.description.abstractThis work investigates the optimization of reaction parameters with the Taguchi method for catalytic deoxygenation of waste cooking oil (WCO) as an alternative renewable fuel process. Commercial sulphated-ferric (II) oxide/alumina oxide catalyst has the potential as a deoxygenation catalyst due to its good physicochemical properties which enhance the removal of oxygenated species. The obtained pyrolysis oil analysed by GC-MS revealed the selectivity of the pyrolysis oil mostly in the range of light diesel and kerosene fraction. From an analysis of variance (ANOVA), temperature awarded the most significant impact (86.62%) in this catalytic deoxygenation as compared to three other parameters followed by reaction time > N2 flow > catalyst loading. From the GC-MS analysis, the maximum renewable diesel fraction of 49.66% was obtained at 400 �C, 1 wt% of catalyst, 90 min of reaction time and 20 cm3/min N2 flow. The predicted model by Taguchi in the present study validated by the experimental work shows a promising application in optimising the catalytic pyrolysis process for future use. � 2023 The Authorsen_US
dc.description.natureFinalen_US
dc.identifier.ArtNo100959
dc.identifier.doi10.1016/j.rineng.2023.100959
dc.identifier.scopus2-s2.0-85148538334
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85148538334&doi=10.1016%2fj.rineng.2023.100959&partnerID=40&md5=7d61e89ed240efc0385878469934b8ab
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34247
dc.identifier.volume17
dc.publisherElsevier B.V.en_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.sourceScopus
dc.sourcetitleResults in Engineering
dc.subjectCatalytic deoxygenation
dc.subjectGreen diesel
dc.subjectHeterogeneous acid catalyst
dc.subjectOptimization
dc.subjectPyrolysis
dc.subjectWaste cooking oil
dc.subjectAnalysis of variance (ANOVA)
dc.subjectCatalysts
dc.subjectDiesel engines
dc.subjectHematite
dc.subjectPhysicochemical properties
dc.subjectTaguchi methods
dc.subjectCatalytic deoxygenation
dc.subjectDeoxygenations
dc.subjectGreen diesels
dc.subjectHeterogeneous acid catalysts
dc.subjectN 2 flow
dc.subjectOptimisations
dc.subjectPyrolysis oil
dc.subjectTaguchi's methods
dc.subjectWaste cooking oil
dc.subject]+ catalyst
dc.subjectPyrolysis
dc.titleCatalytic deoxygenation with SO42--Fe2O3/Al2O3 catalyst: Optimization by Taguchi methoden_US
dc.typeArticleen_US
dspace.entity.typePublication
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