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Modeling and optimization of microwave-based bio-jet fuel from coconut oil: Investigation of response surface methodology (rsm) and artificial neural network methodology (ann)

Ant colony optimization; Ethanol; Jet fuel; Microwave irradiation; Molar ratio; Neural networks; Sensitivity analysis; Vegetable oils; American society for testing and materials; ANN modeling; Developed model; Fuel production; Microwave power; Modeling and optimization; Renewable fuels; Response sur...

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Main Authors:	Ong M.Y., Nomanbhay S., Kusumo F., Raja Shahruzzaman R.M.H., Shamsuddin A.H.
Other Authors:	57191970824
Format:	Article
Published:	MDPI AG 2023
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id	my.uniten.dspace-26351
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spelling	my.uniten.dspace-263512023-05-29T17:09:25Z Modeling and optimization of microwave-based bio-jet fuel from coconut oil: Investigation of response surface methodology (rsm) and artificial neural network methodology (ann) Ong M.Y. Nomanbhay S. Kusumo F. Raja Shahruzzaman R.M.H. Shamsuddin A.H. 57191970824 22135844300 56611974900 57204588040 35779071900 Ant colony optimization; Ethanol; Jet fuel; Microwave irradiation; Molar ratio; Neural networks; Sensitivity analysis; Vegetable oils; American society for testing and materials; ANN modeling; Developed model; Fuel production; Microwave power; Modeling and optimization; Renewable fuels; Response surface methodology; Combustion In this study, coconut oils have been transesterified with ethanol using microwave tech-nology. The product obtained (biodiesel and FAEE) was then fractional distillated under vacuum to collect bio-kerosene or bio-jet fuel, which is a renewable fuel to operate a gas turbine engine. This process was modeled using RSM and ANN for optimization purposes. The developed models were proved to be reliable and accurate through different statistical tests and the results showed that ANN modeling was better than RSM. Based on the study, the optimum bio-jet fuel production yield of 74.45 wt% could be achieved with an ethanol�oil molar ratio of 9.25:1 under microwave irradiation with a power of 163.69 W for 12.66 min. This predicted value was obtained from the ANN model that has been optimized with ACO. Besides that, the sensitivity analysis indicated that microwave power offers a dominant impact on the results, followed by the reaction time and lastly ethanol�oil molar ratio. The properties of the bio-jet fuel obtained in this work was also measured and compared with American Society for Testing and Materials (ASTM) D1655 standard. � 2021 by the authors. Li-censee MDPI, Basel, Switzerland. Final 2023-05-29T09:09:25Z 2023-05-29T09:09:25Z 2021 Article 10.3390/en14020295 2-s2.0-85101739340 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101739340&doi=10.3390%2fen14020295&partnerID=40&md5=dbb0f1ae6cf7225b87bed236b4df3016 https://irepository.uniten.edu.my/handle/123456789/26351 14 2 295 All Open Access, Gold, Green MDPI AG Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
description	Ant colony optimization; Ethanol; Jet fuel; Microwave irradiation; Molar ratio; Neural networks; Sensitivity analysis; Vegetable oils; American society for testing and materials; ANN modeling; Developed model; Fuel production; Microwave power; Modeling and optimization; Renewable fuels; Response surface methodology; Combustion
author2	57191970824
author_facet	57191970824 Ong M.Y. Nomanbhay S. Kusumo F. Raja Shahruzzaman R.M.H. Shamsuddin A.H.
format	Article
author	Ong M.Y. Nomanbhay S. Kusumo F. Raja Shahruzzaman R.M.H. Shamsuddin A.H.
spellingShingle	Ong M.Y. Nomanbhay S. Kusumo F. Raja Shahruzzaman R.M.H. Shamsuddin A.H. Modeling and optimization of microwave-based bio-jet fuel from coconut oil: Investigation of response surface methodology (rsm) and artificial neural network methodology (ann)
author_sort	Ong M.Y.
title	Modeling and optimization of microwave-based bio-jet fuel from coconut oil: Investigation of response surface methodology (rsm) and artificial neural network methodology (ann)
title_short	Modeling and optimization of microwave-based bio-jet fuel from coconut oil: Investigation of response surface methodology (rsm) and artificial neural network methodology (ann)
title_full	Modeling and optimization of microwave-based bio-jet fuel from coconut oil: Investigation of response surface methodology (rsm) and artificial neural network methodology (ann)
title_fullStr	Modeling and optimization of microwave-based bio-jet fuel from coconut oil: Investigation of response surface methodology (rsm) and artificial neural network methodology (ann)
title_full_unstemmed	Modeling and optimization of microwave-based bio-jet fuel from coconut oil: Investigation of response surface methodology (rsm) and artificial neural network methodology (ann)
title_sort	modeling and optimization of microwave-based bio-jet fuel from coconut oil: investigation of response surface methodology (rsm) and artificial neural network methodology (ann)
publisher	MDPI AG
publishDate	2023
_version_	1806427838815928320
score	13.223943

Modeling and optimization of microwave-based bio-jet fuel from coconut oil: Investigation of response surface methodology (rsm) and artificial neural network methodology (ann)

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