Prediction-optimization of the influence of 1-pentanol/jatropha oil blends on RCCI engine characteristics using multi-objective response surface methodology

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dc.authoridDeepanraj, B/0000-0001-8986-6692
dc.authoridGUGULOTHU, S.K./0000-0003-1255-4134
dc.authorwosidGürel, Ali Etem/HKF-0948-2023
dc.authorwosidDeepanraj, B/L-9742-2013
dc.contributor.authorAshok, Athmakuri
dc.contributor.authorGugulothu, Santhosh Kumar
dc.contributor.authorReddy, Ragireddy Venkat
dc.contributor.authorGürel, Ali Etem
dc.contributor.authorDeepanraj, Balakrishnan
dc.date.accessioned2023-07-26T11:53:51Z
dc.date.available2023-07-26T11:53:51Z
dc.date.issued2022
dc.departmentDÜ, Mühendislik Fakültesi, Makine Mühendisliği Bölümüen_US
dc.description.abstractDespite their higher viscosity and longer ignition delay, alternative fuels like biodiesel can be used instead of fossil fuels. This study investigated the potential of the 1-pentanol (10, 20, and 30%) as the low reactivity fuel, which is a cetane value improver, and jatropha oil blended with diesel is considered the high reactivity fuel. 1-Pentanol was found to affect emission and combustion properties. Response surface methodology is adopted to forecast the operating parameters such as injection timing (23, 25, and 27 degrees bTDC) and engine load (50, 75, and 100%). This ideal model is used to obtain engine characteristics for different fuel blends. The model's robustness was demonstrated because Theil's uncertainty in its predictive abilities was less than 0.1189(Theil's U2). With a mean absolute percentage error of less than 1.18%, Nash-Sutcliffe efficiency was outstanding (0.9885-0.9995). With the help of results obtained from experiments, various models were developed and validated. The ideal engine parameters found were 73% of engine load, PES of 24%, and FIT of 24.9(degrees) bTDC (advanced), and under this configuration, better engine characteristics are achieved. Also, ANOVA, a statistically valid test, is used to develop a regression model. The regression model is adequate for the following R-2 values obtained, according to the test results: BTE: 99.57%, BSFC: 98.86%, Pmax: 98.83%, NOx: 98.22%, HC: 99.70% and CO: 98.38% respectively.(c) 2022 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.ref.2022.05.006
dc.identifier.endpage23en_US
dc.identifier.issn1755-0084
dc.identifier.issn1878-0229
dc.identifier.scopus2-s2.0-85131427759en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage8en_US
dc.identifier.urihttps://doi.org/10.1016/j.ref.2022.05.006
dc.identifier.urihttps://hdl.handle.net/20.500.12684/12626
dc.identifier.volume42en_US
dc.identifier.wosWOS:000823366700001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorGürel, Ali Etem
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofRenewable Energy Focusen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjectRcci Engine; 1-Pentanol; Jatropha Oil; Rsm; Energy Share; Fit And Combustion Pressureen_US
dc.subjectDiesel-Engine; Performance; Emission; Energy; Biodieselen_US
dc.titlePrediction-optimization of the influence of 1-pentanol/jatropha oil blends on RCCI engine characteristics using multi-objective response surface methodologyen_US
dc.typeArticleen_US

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