Publication:
Evaluation of the engine performance and exhaust emissions of biodiesel-bioethanol-diesel blends using kernel-based extreme learning machine

Simple item page
dc.citedby187
dc.contributor.authorSilitonga A.S.en_US
dc.contributor.authorMasjuki H.H.en_US
dc.contributor.authorOng H.C.en_US
dc.contributor.authorSebayang A.H.en_US
dc.contributor.authorDharma S.en_US
dc.contributor.authorKusumo F.en_US
dc.contributor.authorSiswantoro J.en_US
dc.contributor.authorMilano J.en_US
dc.contributor.authorDaud K.en_US
dc.contributor.authorMahlia T.M.I.en_US
dc.contributor.authorChen W.-H.en_US
dc.contributor.authorSugiyanto B.en_US
dc.contributor.authorid39262559400en_US
dc.contributor.authorid57175108000en_US
dc.contributor.authorid55310784800en_US
dc.contributor.authorid39262519300en_US
dc.contributor.authorid57217370281en_US
dc.contributor.authorid56611974900en_US
dc.contributor.authorid56192714800en_US
dc.contributor.authorid57052617200en_US
dc.contributor.authorid57203823077en_US
dc.contributor.authorid56997615100en_US
dc.contributor.authorid57200873137en_US
dc.contributor.authorid57024129700en_US
dc.date.accessioned2023-05-29T06:51:06Z
dc.date.available2023-05-29T06:51:06Z
dc.date.issued2018
dc.descriptionAir engines; Alternative fuels; Biodiesel; Bioethanol; Brakes; Carbon monoxide; Efficiency; Electron emission; Engine cylinders; Ethanol; Fuel consumption; Knowledge acquisition; Learning systems; Microemulsions; Nitrogen oxides; Opacity; Smoke; Bioethanol-diesel blends; Engine performance; Exhaust emission; Extreme learning machine; Property; Diesel engines; biofuel; carbon monoxide; compression; diesel engine; efficiency measurement; exhaust emission; experimental study; fuel consumption; machine learning; parameter estimation; performance assessmenten_US
dc.description.abstractIt is known that biodiesel and bioethanol are viable alternative fuels to replace diesel for compression ignition engines. In this study, an experimental investigation is carried out to evaluate the performance and exhaust emissions of a single cylinder diesel engine fuelled with biodiesel-bioethanol-diesel blends. The engine performance parameters evaluated are the brake speci?c fuel consumption and brake thermal ef?ciency whereas the exhaust emission parameters evaluated are carbon monoxide, nitrogen oxide, and smoke opacity. Kernel-based extreme learning machine is used to predict the engine performance and exhaust emission parameters of the fuel blends at full throttle conditions. Based on the experimental results, the brake specific fuel consumption is lower while the brake thermal efficiency is higher for the biodiesel-bioethanol-diesel blends. The carbon monoxide emissions and smoke opacity are also lower for these fuel blends. The mean absolute percentage error of the brake specific fuel consumption, brake thermal efficiency, carbon monoxide, nitrogen oxide, and smoke opacity is 1.363, 1.482, 4.597, 2.224, and 2.090%, respectively. Thus, it can be concluded that K-ELM is a reliable method to estimate the engine performance and exhaust emission parameters of a single cylinder compression ignition engine fuelled with biodiesel-bioethanol-diesel blends to reduce fuel consumption and exhaust emissions. � 2018 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.energy.2018.06.202
dc.identifier.epage1087
dc.identifier.scopus2-s2.0-85053081434
dc.identifier.spage1075
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85053081434&doi=10.1016%2fj.energy.2018.06.202&partnerID=40&md5=07c3329c00bef663ca623b9f31677c4c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23702
dc.identifier.volume159
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleEnergy
dc.titleEvaluation of the engine performance and exhaust emissions of biodiesel-bioethanol-diesel blends using kernel-based extreme learning machineen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS