Prediction of emissions and performance of a gasoline engine running with fusel oil–gasoline blends using response surface methodology

In this study, the engine performance and emissions of gasoline were examined by applying a response surface methodology (RSM) optimisation approach. Fusel oil–gasoline blends were used to operate an engine at various speeds and loads. The optimal fusel oil–gasoline blend mix ratio was determined to...

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Main Authors:	Abdalla, Ahmed N., Tao, Hai, Bagaber, Salem Abdullah, Obed M., Ali, Kamil, Mohammed, Ma, Xiao, Awad, Omar I.
Format:	Article
Language:	English
Published:	Elsevier 2019
Subjects:	TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics
Online Access:	http://umpir.ump.edu.my/id/eprint/25062/ http://umpir.ump.edu.my/id/eprint/25062/ http://umpir.ump.edu.my/id/eprint/25062/ http://umpir.ump.edu.my/id/eprint/25062/1/Prediction%20of%20emissions%20and%20performance%20of%20a%20gasoline%20.pdf

id	ump-25062
recordtype	eprints
spelling	ump-250622019-10-24T06:23:27Z http://umpir.ump.edu.my/id/eprint/25062/ Prediction of emissions and performance of a gasoline engine running with fusel oil–gasoline blends using response surface methodology Abdalla, Ahmed N. Tao, Hai Bagaber, Salem Abdullah Obed M., Ali Kamil, Mohammed Ma, Xiao Awad, Omar I. TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics In this study, the engine performance and emissions of gasoline were examined by applying a response surface methodology (RSM) optimisation approach. Fusel oil–gasoline blends were used to operate an engine at various speeds and loads. The optimal fusel oil–gasoline blend mix ratio was determined to minimise fuel consumption and nitrogen oxide and hydrocarbon emissions and to maximise the brake power (BP). The results demonstrate that the engine load and speed have a significant effect on performance and emissions. In addition, the blended fuels (F10 and F20) were shown to reduce NOx emissions. Furthermore, insignificant effects on engine performance were observed for fusel oil compared with pure gasoline. The design of experiments (DoE) method, which is a statistical technique, indicated that F20 was the optimum blend ratio among the three studied fuels, based on the RSM. The optimal parameters were a load corresponding to 60% of the wide open throttle engine load and an engine speed of 4500 rpm for the F20 blend, resulting in a high desirability value of 0.852 for the test engine, with values of 67.6 kW, 235.17 g/kW.h, 0.118%vol, and 1931.4 ppm for the BP, brake-specific fuel consumption, CO emission, and NOx emission, respectively. Elsevier 2019 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25062/1/Prediction%20of%20emissions%20and%20performance%20of%20a%20gasoline%20.pdf Abdalla, Ahmed N. and Tao, Hai and Bagaber, Salem Abdullah and Obed M., Ali and Kamil, Mohammed and Ma, Xiao and Awad, Omar I. (2019) Prediction of emissions and performance of a gasoline engine running with fusel oil–gasoline blends using response surface methodology. Fuel, 253. pp. 1-14. ISSN 0016-2361 https://doi.org/10.1016/j.fuel.2019.04.085 https://doi.org/10.1016/j.fuel.2019.04.085
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics
spellingShingle	TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Abdalla, Ahmed N. Tao, Hai Bagaber, Salem Abdullah Obed M., Ali Kamil, Mohammed Ma, Xiao Awad, Omar I. Prediction of emissions and performance of a gasoline engine running with fusel oil–gasoline blends using response surface methodology
description	In this study, the engine performance and emissions of gasoline were examined by applying a response surface methodology (RSM) optimisation approach. Fusel oil–gasoline blends were used to operate an engine at various speeds and loads. The optimal fusel oil–gasoline blend mix ratio was determined to minimise fuel consumption and nitrogen oxide and hydrocarbon emissions and to maximise the brake power (BP). The results demonstrate that the engine load and speed have a significant effect on performance and emissions. In addition, the blended fuels (F10 and F20) were shown to reduce NOx emissions. Furthermore, insignificant effects on engine performance were observed for fusel oil compared with pure gasoline. The design of experiments (DoE) method, which is a statistical technique, indicated that F20 was the optimum blend ratio among the three studied fuels, based on the RSM. The optimal parameters were a load corresponding to 60% of the wide open throttle engine load and an engine speed of 4500 rpm for the F20 blend, resulting in a high desirability value of 0.852 for the test engine, with values of 67.6 kW, 235.17 g/kW.h, 0.118%vol, and 1931.4 ppm for the BP, brake-specific fuel consumption, CO emission, and NOx emission, respectively.
format	Article
author	Abdalla, Ahmed N. Tao, Hai Bagaber, Salem Abdullah Obed M., Ali Kamil, Mohammed Ma, Xiao Awad, Omar I.
author_facet	Abdalla, Ahmed N. Tao, Hai Bagaber, Salem Abdullah Obed M., Ali Kamil, Mohammed Ma, Xiao Awad, Omar I.
author_sort	Abdalla, Ahmed N.
title	Prediction of emissions and performance of a gasoline engine running with fusel oil–gasoline blends using response surface methodology
title_short	Prediction of emissions and performance of a gasoline engine running with fusel oil–gasoline blends using response surface methodology
title_full	Prediction of emissions and performance of a gasoline engine running with fusel oil–gasoline blends using response surface methodology
title_fullStr	Prediction of emissions and performance of a gasoline engine running with fusel oil–gasoline blends using response surface methodology
title_full_unstemmed	Prediction of emissions and performance of a gasoline engine running with fusel oil–gasoline blends using response surface methodology
title_sort	prediction of emissions and performance of a gasoline engine running with fusel oil–gasoline blends using response surface methodology
publisher	Elsevier
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/25062/ http://umpir.ump.edu.my/id/eprint/25062/ http://umpir.ump.edu.my/id/eprint/25062/ http://umpir.ump.edu.my/id/eprint/25062/1/Prediction%20of%20emissions%20and%20performance%20of%20a%20gasoline%20.pdf
first_indexed	2023-09-18T22:38:17Z
last_indexed	2023-09-18T22:38:17Z
_version_	1777416743437729792

Prediction of emissions and performance of a gasoline engine running with fusel oil–gasoline blends using response surface methodology

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