Poultry fat biodiesel as a fuel substitute in diesel-ethanol blends for DI-CI engine: Experimental, modeling and optimization

dc.authorscopusid58107977700
dc.authorscopusid57057224800
dc.authorscopusid58107626100
dc.authorscopusid57202959651
dc.authorscopusid57220364421
dc.authorscopusid57202264116
dc.authorscopusid57190847465
dc.contributor.authorN., Santhosh
dc.contributor.authorAfzal, Asif
dc.contributor.authorV., Srikanth H.
dc.contributor.authorAğbulut, Ümit
dc.contributor.authorAlahmadi, Ahmad Aziz
dc.contributor.authorGowda, Ashwin C.
dc.contributor.authorAlwetaishi, Mamdooh
dc.date.accessioned2023-07-26T11:50:29Z
dc.date.available2023-07-26T11:50:29Z
dc.date.issued2023
dc.departmentDÜ, Mühendislik Fakültesi, Makine Mühendisliği Bölümüen_US
dc.description.abstractThe purpose of the present study is to evolve an alternate non-edible source for the synthesis of biodiesel and use it as a fuel substitute in diesel-ethanol blends for DI-CI engines. The use of discarded poultry fat feedstocks for the sustainable production of biofuels in the current day scenario is a novel approach that is still in its embryonic stage. For the effective utilization of these processed biofuels, it is very much required to ascertain the characteristics and their performance attributes for different blends. In this regard, a set of experiments are planned to study the emission and performance attributes of a direct injection (DI) diesel engine operating on poultry fat biodiesel, and the three proportions of diesel-biodiesel-ethanol blends with varying vol. % over the wide load range on a diesel engine. The ethanol percentage in the blend is varied from 5 vol % to 15 vol % in increments of 5 vol % with the amount of poultry fat-based biodiesel kept constant at 10 vol %. The performance and emission characteristics, particularly, the CO, CO2, NOx, unused Oxygen, and hydrocarbon emissions are experimentally determined for different fuel blends. From the results, it is evident that the performance characteristics of the fuel blends improve with the addition of ethanol in the diesel-biodiesel blend. Further, regression modeling of the performance characteristics is carried out to optimize the blend and operating load conditions, and the regression model is evolved for developing a mathematical relation for predictions of the results for different operating conditions. Also, Artificial Neural Network (ANN) modeling of the performance characteristics is carried out at each stage to predict the outcomes for different blends and load conditions and provide a set of empirical relations for analyzing the performance characteristics of the engines operating on poultry fat-based biodiesel-diesel-ethanol blends. Excellent predictions are obtained using regression modeling and ANN with R-squared values above 0.9. Thus, the present work provides a newer model of effectively using the ANN for the systematic study of the performance characteristics of the biodiesel blends obtained from a set of experiments through various optimization methods for better performance and a significant reduction in emissions. © 2023 Elsevier Ltden_US
dc.description.sponsorshipTaif University, TU: TURSP-2020/121en_US
dc.description.sponsorshipThe authors would like to acknowledge the support received by Taif University Researchers Supporting Project number ( TURSP-2020/121 ), Taif University , Taif, Saudi Arabia.en_US
dc.identifier.doi10.1016/j.energy.2023.126826
dc.identifier.issn0360-5442
dc.identifier.scopus2-s2.0-85148348141en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1016/j.energy.2023.126826
dc.identifier.urihttps://hdl.handle.net/20.500.12684/12360
dc.identifier.volume270en_US
dc.identifier.wosWOS:001013264100001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorAğbulut, Ümit
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofEnergyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjectDirect injectionen_US
dc.subjectEmissionen_US
dc.subjectEmulsifiersen_US
dc.subjectEthanolen_US
dc.subjectPerformanceen_US
dc.subjectPoultry faten_US
dc.subjectDiesel enginesen_US
dc.subjectDirect injectionen_US
dc.subjectEthanolen_US
dc.subjectForecastingen_US
dc.subjectNeural networksen_US
dc.subjectRegression analysisen_US
dc.subjectC.I. engineen_US
dc.subjectCI engineen_US
dc.subjectEmissionen_US
dc.subjectEmulsifieren_US
dc.subjectEthanol blenden_US
dc.subjectFuel substitutesen_US
dc.subjectPerformanceen_US
dc.subjectPerformance characteristicsen_US
dc.subjectPoultry fatsen_US
dc.subjectRegression modellingen_US
dc.subjectBiodieselen_US
dc.subjectdiesel engineen_US
dc.subjectequipmenten_US
dc.subjectethanolen_US
dc.subjectexperimental studyen_US
dc.subjectmodelingen_US
dc.subjectoptimizationen_US
dc.subjectperformance assessmenten_US
dc.subjectregression analysisen_US
dc.titlePoultry fat biodiesel as a fuel substitute in diesel-ethanol blends for DI-CI engine: Experimental, modeling and optimizationen_US
dc.typeArticleen_US

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