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Optimization of biodiesel production from rice bran oil by ultrasound and infrared radiation using ANN-GWO

A system combining ultrasound and infrared radiation was used to increase the chemical reactions between incompressible reactants by enhancing their mass transfers with the aim to reduce the energy usage and reaction time. In this study, biodiesel from RBO was produced via transesterification, and t...

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Main Authors: Sebayang, A.H., Kusumo, F., Milano, J., Shamsuddin, A.H., Silitonga, A.S., Ideris, F., Siswantoro, J., Veza, I., Mofijur, M., Reen Chia, S.
Format: Article
Published: Elsevier Ltd 2023
Online Access:http://scholars.utp.edu.my/id/eprint/37414/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152919814&doi=10.1016%2fj.fuel.2023.128404&partnerID=40&md5=f8159334e2c5595d011c23c1ebd0fe43
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spelling oai:scholars.utp.edu.my:374142023-10-04T12:43:25Z http://scholars.utp.edu.my/id/eprint/37414/ Optimization of biodiesel production from rice bran oil by ultrasound and infrared radiation using ANN-GWO Sebayang, A.H. Kusumo, F. Milano, J. Shamsuddin, A.H. Silitonga, A.S. Ideris, F. Siswantoro, J. Veza, I. Mofijur, M. Reen Chia, S. A system combining ultrasound and infrared radiation was used to increase the chemical reactions between incompressible reactants by enhancing their mass transfers with the aim to reduce the energy usage and reaction time. In this study, biodiesel from RBO was produced via transesterification, and the process variables were optimized using the combination of ANN and GWO algorithm. Process parameters considered in this study are ratio of methanol to oil, catalyst concentration, and reaction time. Based on the ANN-GWO algoritm used, the optimum conditions for the process parameters were (1) methanol to oil ratio: 60, (2) concentration of catalyst: 1 wt, (3) time: 7.76 min, leading to the metyl ester yield of 98.16 wt. The algoritm was verified by conducting a triplicate independent experiments using the suggested optimum values, resulting in an average methyl ester yield of 97.74 wt. Subsequently, properties of rice bran biodiesel were compared to ASTM D6751 and EN 14214 standards, and the obtained values met both the standards. © 2023 Elsevier Ltd Elsevier Ltd 2023 Article NonPeerReviewed Sebayang, A.H. and Kusumo, F. and Milano, J. and Shamsuddin, A.H. and Silitonga, A.S. and Ideris, F. and Siswantoro, J. and Veza, I. and Mofijur, M. and Reen Chia, S. (2023) Optimization of biodiesel production from rice bran oil by ultrasound and infrared radiation using ANN-GWO. Fuel, 346. ISSN 00162361 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152919814&doi=10.1016%2fj.fuel.2023.128404&partnerID=40&md5=f8159334e2c5595d011c23c1ebd0fe43 10.1016/j.fuel.2023.128404 10.1016/j.fuel.2023.128404 10.1016/j.fuel.2023.128404
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description A system combining ultrasound and infrared radiation was used to increase the chemical reactions between incompressible reactants by enhancing their mass transfers with the aim to reduce the energy usage and reaction time. In this study, biodiesel from RBO was produced via transesterification, and the process variables were optimized using the combination of ANN and GWO algorithm. Process parameters considered in this study are ratio of methanol to oil, catalyst concentration, and reaction time. Based on the ANN-GWO algoritm used, the optimum conditions for the process parameters were (1) methanol to oil ratio: 60, (2) concentration of catalyst: 1 wt, (3) time: 7.76 min, leading to the metyl ester yield of 98.16 wt. The algoritm was verified by conducting a triplicate independent experiments using the suggested optimum values, resulting in an average methyl ester yield of 97.74 wt. Subsequently, properties of rice bran biodiesel were compared to ASTM D6751 and EN 14214 standards, and the obtained values met both the standards. © 2023 Elsevier Ltd
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author Sebayang, A.H.
Kusumo, F.
Milano, J.
Shamsuddin, A.H.
Silitonga, A.S.
Ideris, F.
Siswantoro, J.
Veza, I.
Mofijur, M.
Reen Chia, S.
spellingShingle Sebayang, A.H.
Kusumo, F.
Milano, J.
Shamsuddin, A.H.
Silitonga, A.S.
Ideris, F.
Siswantoro, J.
Veza, I.
Mofijur, M.
Reen Chia, S.
Optimization of biodiesel production from rice bran oil by ultrasound and infrared radiation using ANN-GWO
author_facet Sebayang, A.H.
Kusumo, F.
Milano, J.
Shamsuddin, A.H.
Silitonga, A.S.
Ideris, F.
Siswantoro, J.
Veza, I.
Mofijur, M.
Reen Chia, S.
author_sort Sebayang, A.H.
title Optimization of biodiesel production from rice bran oil by ultrasound and infrared radiation using ANN-GWO
title_short Optimization of biodiesel production from rice bran oil by ultrasound and infrared radiation using ANN-GWO
title_full Optimization of biodiesel production from rice bran oil by ultrasound and infrared radiation using ANN-GWO
title_fullStr Optimization of biodiesel production from rice bran oil by ultrasound and infrared radiation using ANN-GWO
title_full_unstemmed Optimization of biodiesel production from rice bran oil by ultrasound and infrared radiation using ANN-GWO
title_sort optimization of biodiesel production from rice bran oil by ultrasound and infrared radiation using ann-gwo
publisher Elsevier Ltd
publishDate 2023
url http://scholars.utp.edu.my/id/eprint/37414/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152919814&doi=10.1016%2fj.fuel.2023.128404&partnerID=40&md5=f8159334e2c5595d011c23c1ebd0fe43
_version_ 1779441379431153664
score 13.222552

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