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Multiple-objective optimization in green fuel production via catalytic deoxygenation reaction with NiO-dolomite catalyst

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dc.citedby7
dc.contributor.authorHafriz R.S.R.M.en_US
dc.contributor.authorArifin N.A.en_US
dc.contributor.authorSalmiaton A.en_US
dc.contributor.authorYunus R.en_US
dc.contributor.authorTaufiq-Yap Y.H.en_US
dc.contributor.authorSaifuddin N.M.en_US
dc.contributor.authorShamsuddin A.H.en_US
dc.contributor.authorid57204588040en_US
dc.contributor.authorid57195493347en_US
dc.contributor.authorid57193906995en_US
dc.contributor.authorid6603243672en_US
dc.contributor.authorid57194506693en_US
dc.contributor.authorid22135844300en_US
dc.contributor.authorid35779071900en_US
dc.date.accessioned2023-05-29T09:38:31Z
dc.date.available2023-05-29T09:38:31Z
dc.date.issued2022
dc.descriptionCatalysts; Diesel engines; Multiobjective optimization; Oils and fats; Surface properties; Surface reactions; Catalytic deoxygenation; Deoxygenation reactions; Deoxygenations; Dolomite; Green fuel; Heterogeneous catalyst; Response-surface methodology; Waste cooking oil; ]+ catalyst; Nickel oxideen_US
dc.description.abstractThis study investigates the multi-objective optimization of reaction parameters with response surface methodology (RSM) with central composite design (CCD) for the deoxygenation of waste cooking oil (WCO) over low cost-modified local carbonate mineral catalyst (NiO-Malaysian dolomite) into green fuel in the range of gasoline, kerosene and diesel. RSM was performed to study the effect of four operating parameters: temperature (390�430 �C), time (30�120 min), catalyst loading (1�10 wt%) and nitrogen flow rate (50�300 cm3/min). The results indicate that for maximum WCO conversion, deoxygenated oil and product yield, the optimum parameters of the deoxygenation reaction were at 410 �C, 60 min, 5.50 wt% of catalyst loading, and 175 cm3/min of N2. The green fuel properties testing (density, kinematic viscosity, flash point, cloud point, pour point, sulfur, carbon residue, cetane index, oxidation stability, acid value, iodine value and calorific value) and GC�MS analysis show that the product oil meets almost all the requirements of green diesel fuel and hydrocarbon biofuel standards for fuel application while the quadratic model proposed agreed with the experimental data (95% confidence) which indicates that the RSM can adequately predict the reaction products. � 2021 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo122041
dc.identifier.doi10.1016/j.fuel.2021.122041
dc.identifier.scopus2-s2.0-85116033350
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85116033350&doi=10.1016%2fj.fuel.2021.122041&partnerID=40&md5=9fbcea4cb8f1cb31185133e3065b6c51
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26997
dc.identifier.volume308
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleFuel
dc.titleMultiple-objective optimization in green fuel production via catalytic deoxygenation reaction with NiO-dolomite catalysten_US
dc.typeArticleen_US
dspace.entity.typePublication
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