Journal ArticleDOI
Biodiesel synthesis from Ceiba pentandra oil by microwave irradiation-assisted transesterification: ELM modeling and optimization
Arridina Susan Silitonga,Abd Halim Shamsuddin,Teuku Meurah Indra Mahlia,Jassinne Milano,F. Kusumo,Joko Siswantoro,Surya Dharma,A.H. Sebayang,Haji Hassan Masjuki,Hwai Chyuan Ong +9 more
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TLDR
In this paper, an extreme learning machine integrated with cuckoo search algorithm was developed to predict and optimize the process parameters of microwave irradiation-assisted transesterification process conditions.About:
This article is published in Renewable Energy.The article was published on 2020-02-01. It has received 190 citations till now. The article focuses on the topics: Biodiesel production & Biodiesel.read more
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Journal ArticleDOI
State of the Art of Catalysts for Biodiesel Production
I.M. Rizwanul Fattah,Hwai Chyuan Ong,Teuku Meurah Indra Mahlia,M. Mofijur,Arridina Susan Silitonga,S. M. Ashrafur Rahman,Arslan Ahmad +6 more
TL;DR: In this article, the state-of-the-art and perspectives for catalytic biodiesel production and assesses the critical operational variables that influence biodiesel synthesis along with the technological solutions for sustainable implementation of the process.
Journal ArticleDOI
Machine learning technology in biodiesel research: A review
Mortaza Aghbashlo,Mortaza Aghbashlo,Wanxi Peng,Meisam Tabatabaei,Soteris A. Kalogirou,Salman Soltanian,Homa Hosseinzadeh-Bandbafha,Omid Mahian,Omid Mahian,Su Shiung Lam,Su Shiung Lam +10 more
TL;DR: This paper is devoted to thoroughly reviewing and critically discussing various ML technology applications, with a particular focus on ANN, to solve function approximation, optimization, monitoring, and control problems in biodiesel research.
Journal ArticleDOI
Microalgae biomass as a sustainable source for biofuel, biochemical and biobased value-added products: An integrated biorefinery concept
Sk. Yasir Arafat Siddiki,M. Mofijur,M. Mofijur,P. Senthil Kumar,Shams Forruque Ahmed,Abrar Inayat,F. Kusumo,Irfan Anjum Badruddin,T. M. Yunus Khan,Long D. Nghiem,Hwai Chyuan Ong,Teuku Meurah Indra Mahlia +11 more
TL;DR: A systematically integrated genome sequencing and process-scale engineering approach for the extraction of lipids and co-products is critical in the development of future microalgal biorefineries.
Journal ArticleDOI
Microalgae biomass as a sustainable source for biofuel, biochemical and biobased value-added products: An integrated biorefinery concept
TL;DR: In this paper , the authors discuss the key steps of microalgae-based biorefinery including cultivation and harvesting, cell disruption, biofuel and value-added compound extraction along with the detailed technologies associated with each step.
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An overview on advancements in biobased transesterification methods for biodiesel production: Oil resources, extraction, biocatalysts, and process intensification technologies
Shashi Kant Bhatia,Ravi Kant Bhatia,Jong-Min Jeon,Arivalagan Pugazhendhi,Mukesh Kumar Awasthi,Dinesh Kumar,Gopalakrishnan Kumar,Gopalakrishnan Kumar,Jeong-Jun Yoon,Yung-Hun Yang +9 more
TL;DR: In this paper, the availability of various oil resources and the advancements in technology related to oil extraction are discussed, and the need to develop integrated process technologies for biodiesel production to make the process more economical is emphasized.
References
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Journal ArticleDOI
Accelerated esterification of free fatty acid using pulsed microwaves.
TL;DR: Results indicated that pulsed microwaves with repetitive strong power could enhance the efficiency of biodiesel production relative to the use of continuous microwave with mild power.
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A new sample preparation method for crude or fuel oils by mineralization utilizing single reaction chamber microwave for broader multi-element analysis by ICP techniques
TL;DR: In this article, the authors developed a single sample preparation method that could be effective in analyzing the largest number of quantifiable elements with instruments used in tandem to cover a wider and more practical combined dynamic range.
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Prediction of engine performance and emissions with Manihot glaziovii bioethanol − Gasoline blended using extreme learning machine
A.H. Sebayang,Haji Hassan Masjuki,Hwai Chyuan Ong,Surya Dharma,Arridina Susan Silitonga,Arridina Susan Silitonga,F. Kusumo,Jassinnee Milano +7 more
TL;DR: In this paper, an extreme learning machine (ELM) model was used to predict the engine performance and exhaust emissions of Manihot glaziovii bioethanol-gasoline blends at different blend ratios (5, 10, 15, and 20%).
Journal ArticleDOI
Statistical modeling/optimization and process intensification of microwave-assisted acidified oil esterification
TL;DR: In this paper, an Artificial Neural Network (ANN) and Response Surface Methodology (RSM) were used for the esterification of acidified oil with ethanol under microwave radiation.
Journal ArticleDOI
Influence of the synthesis process on the properties of flow and oxidative stability of biodiesel from Jatropha curcas biodiesel
Lécia Maria da Silva Freire,Ieda M. G. Santos,José Rodrigues Filho,Angela Maria Tribuzi de Magalhães Cordeiro,Luiz E. B. Soledade,Valter J. Fernandes,Antonio S. Araujo,Antonio G. Souza +7 more
TL;DR: In this article, the catalytic activity of sodium hydroxide (NaOH) in the synthesis of Jatropha curcas ethanol biodiesel was studied and the properties of flow and oxidative stability of biodiesel samples produced in each of the transesterification reaction conditions were analyzed as well.