Biodiesel synthesis from Ceiba pentandra oil by microwave irradiation-assisted transesterification: ELM modeling and optimization

Alternative fuels; Energy efficiency; Irradiation; Knowledge acquisition; Learning algorithms; Machine learning; Microwave irradiation; Optimization; Potassium hydroxide; Synthetic fuels; Transesterification; Biodiesel production; Catalyst concentration; Cuckoo search algorithms; Extreme learning ma...

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Main Authors: Silitonga A.S., Shamsuddin A.H., Mahlia T.M.I., Milano J., Kusumo F., Siswantoro J., Dharma S., Sebayang A.H., Masjuki H.H., Ong H.C.
Other Authors: 39262559400
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Published: Elsevier Ltd 2023
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spelling my.uniten.dspace-255972023-05-29T16:11:29Z Biodiesel synthesis from Ceiba pentandra oil by microwave irradiation-assisted transesterification: ELM modeling and optimization Silitonga A.S. Shamsuddin A.H. Mahlia T.M.I. Milano J. Kusumo F. Siswantoro J. Dharma S. Sebayang A.H. Masjuki H.H. Ong H.C. 39262559400 35779071900 56997615100 57052617200 56611974900 56192714800 57217370281 39262519300 57175108000 55310784800 Alternative fuels; Energy efficiency; Irradiation; Knowledge acquisition; Learning algorithms; Machine learning; Microwave irradiation; Optimization; Potassium hydroxide; Synthetic fuels; Transesterification; Biodiesel production; Catalyst concentration; Cuckoo search algorithms; Extreme learning machine; Modeling and optimization; Research and development; Transesterification process; Virtual experimentations; Biodiesel; angiosperm; biofuel; catalyst; hydroxide; irradiation; microwave radiation; optimization; Ceiba pentandra In this study, microwave irradiation-assisted transesterification was used to produce Ceiba pentandra biodiesel, which accelerates the rate of reaction and temperature within a shorter period. The improvement of biodiesel production requires a reliable model that accurately reflects the effects of input variables on output variables. In this study, an extreme learning machine integrated with cuckoo search algorithm was developed to predict and optimize the process parameters. This model will be useful for virtual experimentations in order to enhance biodiesel research and development. The optimum parameters of the microwave irradiation-assisted transesterification process conditions were obtained as follows: (1) methanol/oil ratio: 60%, (2) potassium hydroxide catalyst concentration: 0.84%(w/w), (3) stirring speed: 800 rpm, and (4) reaction time: 388 s. The corresponding Ceiba pentandra biodiesel yield was 96.19%. Three independent experiments were conducted using the optimum process parameters and the average biodiesel yield was found to be 95.42%. In conclusion, microwave irradiation-assisted transesterification is an effective method for biodiesel production because it is more energy-efficient, which will reduce the overall cost of biodiesel production. � 2019 Elsevier Ltd Final 2023-05-29T08:11:29Z 2023-05-29T08:11:29Z 2020 Article 10.1016/j.renene.2019.07.065 2-s2.0-85068999599 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068999599&doi=10.1016%2fj.renene.2019.07.065&partnerID=40&md5=04d07facf127a808f81a043b4bd67f02 https://irepository.uniten.edu.my/handle/123456789/25597 146 1278 1291 All Open Access, Green Elsevier Ltd 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 Alternative fuels; Energy efficiency; Irradiation; Knowledge acquisition; Learning algorithms; Machine learning; Microwave irradiation; Optimization; Potassium hydroxide; Synthetic fuels; Transesterification; Biodiesel production; Catalyst concentration; Cuckoo search algorithms; Extreme learning machine; Modeling and optimization; Research and development; Transesterification process; Virtual experimentations; Biodiesel; angiosperm; biofuel; catalyst; hydroxide; irradiation; microwave radiation; optimization; Ceiba pentandra
author2 39262559400
author_facet 39262559400
Silitonga A.S.
Shamsuddin A.H.
Mahlia T.M.I.
Milano J.
Kusumo F.
Siswantoro J.
Dharma S.
Sebayang A.H.
Masjuki H.H.
Ong H.C.
format Article
author Silitonga A.S.
Shamsuddin A.H.
Mahlia T.M.I.
Milano J.
Kusumo F.
Siswantoro J.
Dharma S.
Sebayang A.H.
Masjuki H.H.
Ong H.C.
spellingShingle Silitonga A.S.
Shamsuddin A.H.
Mahlia T.M.I.
Milano J.
Kusumo F.
Siswantoro J.
Dharma S.
Sebayang A.H.
Masjuki H.H.
Ong H.C.
Biodiesel synthesis from Ceiba pentandra oil by microwave irradiation-assisted transesterification: ELM modeling and optimization
author_sort Silitonga A.S.
title Biodiesel synthesis from Ceiba pentandra oil by microwave irradiation-assisted transesterification: ELM modeling and optimization
title_short Biodiesel synthesis from Ceiba pentandra oil by microwave irradiation-assisted transesterification: ELM modeling and optimization
title_full Biodiesel synthesis from Ceiba pentandra oil by microwave irradiation-assisted transesterification: ELM modeling and optimization
title_fullStr Biodiesel synthesis from Ceiba pentandra oil by microwave irradiation-assisted transesterification: ELM modeling and optimization
title_full_unstemmed Biodiesel synthesis from Ceiba pentandra oil by microwave irradiation-assisted transesterification: ELM modeling and optimization
title_sort biodiesel synthesis from ceiba pentandra oil by microwave irradiation-assisted transesterification: elm modeling and optimization
publisher Elsevier Ltd
publishDate 2023
_version_ 1806427613608017920
score 13.214268