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dc.contributor.authorİleri, Erol
dc.contributor.authorKaraoğlan, Aslan Deniz
dc.contributor.authorAkpınar, Şener
dc.date.accessioned2021-03-16T07:14:14Z
dc.date.available2021-03-16T07:14:14Z
dc.date.issued2020en_US
dc.identifier.issn0016-2361
dc.identifier.issn1873-7153
dc.identifier.urihttps://doi.org/10.1016/j.fuel.2020.117784
dc.identifier.urihttps://hdl.handle.net/20.500.12462/11213
dc.descriptionKaraoǧlan, Aslan Deniz (Balikesir Author)en_US
dc.description.abstractBiodiesel and their blends with diesel have long been used as alternative fuels in diesel engines. In particular, B20 is recommended in most studies since it reduces the exhaust emissions and provides satisfactory engine torque close to diesel fuel. On the other hand, low cetane number of biodiesel leads to higher oxides of nitrogene (NOx) emission when compared to those of the diesel fuel. Formation of NOx emissions has a strong correlation with cetane number of fuels, which increases with the reduction of the cetane number. The current paper focuses on finding the optimum 2-ethylhexyl nitrate (EHN) (cetane improver) concentration and the engine speed for 20 vol% canola oil methyl ester and 80 vol% diesel fuel blend (B20). For that reason, experimental design is created and the experiments have been done on TDI diesel engine at full load and different engine speed conditions to be able to model the problem as an optimization problem by means of the regression modelling. Accordingly, the developed model in consequence of the test results of the engine is optimized via the grey wolf optimizer (GWO) algorithm taking into account of engine performance and emission parameters viz. brake torque, brake power, brake specific fuel consumption (BSFC), brake thermal efficiency (BTE), NOx, and carbon dioxide (CO2), to identify the rate of concentration of EHN in B20 and engine speed. Finally, confirmation tests were employed to compare the output values of the concentration that were identified through the GWO algorithm, and further statistical analyses indicate the consistency between the real experimental results and the results obtained through the GWO algorithm. The optimum EHN concentration and engine speed was determined as 743 mg/L and 3221 rpm respectively. Test results of engine performance indicated that brake power and BSFC of optimum blend at 3221 rpm decreased while brake torque and BTE increased in comparison with those of B20 without EHN. CO2 and NOx exhaust emissions decreased as 11.19% and 4.63% respectively.en_US
dc.language.isoengen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.isversionof10.1016/j.fuel.2020.117784en_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectBiodieselen_US
dc.subjectFuel Additiveen_US
dc.subjectDiesel Engineen_US
dc.subjectRegressionen_US
dc.subjectGrey Wolf Optimizeren_US
dc.titleOptimizing cetane improver concentration in biodiesel-diesel blend via grey wolf optimizer algorithmen_US
dc.typearticleen_US
dc.relation.journalFuelen_US
dc.contributor.departmentMühendislik Fakültesien_US
dc.contributor.authorID0000-0001-8115-7330en_US
dc.contributor.authorID0000-0002-3292-5919en_US
dc.identifier.volume273en_US
dc.identifier.startpage1en_US
dc.identifier.endpage9en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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