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Optimization of biodiesel production from rice bran oil by ultrasound and infrared radiation using ANN-GWO

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dc.citedby30
dc.contributor.authorSebayang A.H.en_US
dc.contributor.authorKusumo F.en_US
dc.contributor.authorMilano J.en_US
dc.contributor.authorShamsuddin A.H.en_US
dc.contributor.authorSilitonga A.S.en_US
dc.contributor.authorIderis F.en_US
dc.contributor.authorSiswantoro J.en_US
dc.contributor.authorVeza I.en_US
dc.contributor.authorMofijur M.en_US
dc.contributor.authorReen Chia S.en_US
dc.contributor.authorid39262519300en_US
dc.contributor.authorid56611974900en_US
dc.contributor.authorid57052617200en_US
dc.contributor.authorid35779071900en_US
dc.contributor.authorid39262559400en_US
dc.contributor.authorid7801415444en_US
dc.contributor.authorid56192714800en_US
dc.contributor.authorid57205548894en_US
dc.contributor.authorid57204492012en_US
dc.contributor.authorid58189194000en_US
dc.date.accessioned2024-10-14T03:17:58Z
dc.date.available2024-10-14T03:17:58Z
dc.date.issued2023
dc.description.abstractA system combining ultrasound and infrared radiation was used to increase the chemical reactions between incompressible reactants by enhancing their mass transfers with the aim to reduce the energy usage and reaction time. In this study, biodiesel from RBO was produced via transesterification, and the process variables were optimized using the combination of ANN and GWO algorithm. Process parameters considered in this study are ratio of methanol to oil, catalyst concentration, and reaction time. Based on the ANN-GWO algoritm used, the optimum conditions for the process parameters were (1) methanol to oil ratio: 60%, (2) concentration of catalyst: 1 wt%, (3) time: 7.76 min, leading to the metyl ester yield of 98.16 wt%. The algoritm was verified by conducting a triplicate independent experiments using the suggested optimum values, resulting in an average methyl ester yield of 97.74 wt%. Subsequently, properties of rice bran biodiesel were compared to ASTM D6751 and EN 14214 standards, and the obtained values met both the standards. � 2023 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo128404
dc.identifier.doi10.1016/j.fuel.2023.128404
dc.identifier.scopus2-s2.0-85152919814
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85152919814&doi=10.1016%2fj.fuel.2023.128404&partnerID=40&md5=f8159334e2c5595d011c23c1ebd0fe43
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34100
dc.identifier.volume346
dc.publisherElsevier Ltden_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGreen Open Access
dc.sourceScopus
dc.sourcetitleFuel
dc.subjectHigh conversion rate
dc.subjectHybrid methods
dc.subjectNon-edible oil
dc.subjectParameters study
dc.subjectStatistical study
dc.subjectCatalysts
dc.subjectEsters
dc.subjectInfrared radiation
dc.subjectMethanol
dc.subjectUltrasonics
dc.subjectBiodiesel production
dc.subjectConversion rates
dc.subjectHigh conversion rate
dc.subjectHigh conversions
dc.subjectHybrid method
dc.subjectNon-edible oil
dc.subjectOptimisations
dc.subjectParameter studies
dc.subjectProcess parameters
dc.subjectStatistical study
dc.subjectBiodiesel
dc.titleOptimization of biodiesel production from rice bran oil by ultrasound and infrared radiation using ANN-GWOen_US
dc.typeArticleen_US
dspace.entity.typePublication
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