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Biodiesel production from transesterification of Australian Brassica napus L. oil: optimisation and reaction kinetic model development

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dc.citedby10
dc.contributor.authorHazrat M.A.en_US
dc.contributor.authorRasul M.G.en_US
dc.contributor.authorKhan M.M.K.en_US
dc.contributor.authorAshwath N.en_US
dc.contributor.authorFattah I.M.R.en_US
dc.contributor.authorOng H.C.en_US
dc.contributor.authorMahlia T.M.I.en_US
dc.contributor.authorid55936470700en_US
dc.contributor.authorid6603918185en_US
dc.contributor.authorid57221158930en_US
dc.contributor.authorid55962751500en_US
dc.contributor.authorid58776756000en_US
dc.contributor.authorid55310784800en_US
dc.contributor.authorid56997615100en_US
dc.date.accessioned2024-10-14T03:17:33Z
dc.date.available2024-10-14T03:17:33Z
dc.date.issued2023
dc.description.abstractEdible oil-based feedstocks based biodiesel is still leading the industry around the world. Canola oil (Brassica napus L.) contributes significantly to that race. Process optimisation and the development of reaction kinetic models of edible oil feedstocks are still required since the knowledge of kinetics is needed for designing industrial facilities and evaluating the performance of catalysts during transesterification or other related processes in a biorefinery. This research focuses on the transesterification process for biodiesel production because of its higher output efficiency, reactivity with feedstock, techno-economic feasibility in terms of FFA content, and environmental sustainability. The response surface method with the Box�Behnken model was used to optimise the process. Multivariate analysis of variance (ANOVA) was also performed to investigate the effectiveness of the regression model. The optimal process conditions were found to be 5.89�M methanol, 0.5% (w/w) KOH, 60��C and 120�min. The predicted yield was 99.5% for a 95% confidence interval (99.1, 99.9). The experimental yield was 99.6% for these conditions. Two different kinetic models were also developed in this study. The activation energy was 16.9% higher for the pseudo-first-order irreversible reaction than for the pseudo-homogenous irreversible reaction. Such a comprehensive analysis will assist stakeholders in evaluating the technology for industrial development in biodiesel fuel commercialisation. � 2022, The Author(s).en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/s10668-022-02506-0
dc.identifier.epage12272
dc.identifier.issue11
dc.identifier.scopus2-s2.0-85135258505
dc.identifier.spage12247
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85135258505&doi=10.1007%2fs10668-022-02506-0&partnerID=40&md5=0458706aa5938c359ac9f901b5a10283
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/33975
dc.identifier.volume25
dc.pagecount25
dc.publisherSpringer Science and Business Media B.V.en_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofHybrid Gold Open Access
dc.sourceScopus
dc.sourcetitleEnvironment, Development and Sustainability
dc.subjectBiodiesel
dc.subjectHomogeneous alkaline catalyst
dc.subjectOptimisation
dc.subjectReaction kinetics
dc.subjectRSM
dc.subjectTransesterification
dc.subjectactivation energy
dc.subjectbiofuel
dc.subjectcatalyst
dc.subjectchemical reaction
dc.subjectherb
dc.subjectindustrial production
dc.subjectnumerical model
dc.subjectoptimization
dc.subjectreaction kinetics
dc.subjectresponse surface methodology
dc.titleBiodiesel production from transesterification of Australian Brassica napus L. oil: optimisation and reaction kinetic model developmenten_US
dc.typeArticleen_US
dspace.entity.typePublication
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