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Experimental study on the effects of feedstock on the properties of biodiesel using multiple linear regressions

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  • Mairizal, Aulia Qisthi
  • Awad, Sary
  • Priadi, Cindy Rianti
  • Hartono, Djoko M.
  • Moersidik, Setyo S.
  • Tazerout, Mohand
  • Andres, Yves

Abstract

Biodiesel is a very promising alternative fuel that has its place in the future energy mix. The dependence of fuel properties on fatty acids profile will influence the choice of feedstock or appropriate treatment that it should undergo in order to respect biodiesel standards. The objective of this study is to find models that predict biodiesel’s viscosity, density, flash point, higher heating value, and oxidative stability based on saponification value, Iodine value and the polyunsaturated fatty acids content of feedstock. Biodiesel samples were produced from seventeen different blends of oils. Multiple linear regressions were used to obtain models. High accuracy prediction was obtained for density and higher heating value with prediction errors <5%, a very good accuracy was obtained for viscosity with error <10% and flash point and oxidative stability were predicted with a fair accuracies (error < 15%) which indicates a good correlation level with IV, SV and Polyinsaturations but it also reveals that other parameters could also interfere and should be taken in consideration to reach acceptable accuracy.

Suggested Citation

  • Mairizal, Aulia Qisthi & Awad, Sary & Priadi, Cindy Rianti & Hartono, Djoko M. & Moersidik, Setyo S. & Tazerout, Mohand & Andres, Yves, 2020. "Experimental study on the effects of feedstock on the properties of biodiesel using multiple linear regressions," Renewable Energy, Elsevier, vol. 145(C), pages 375-381.
    • Handle: RePEc:eee:renene:v:145:y:2020:i:c:p:375-381
    DOI: 10.1016/j.renene.2019.06.067
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    Cited by:

    1. Diamantis, Vasileios & Eftaxias, Alexandros & Stamatelatou, Katerina & Noutsopoulos, Constantinos & Vlachokostas, Christos & Aivasidis, Alexandros, 2021. "Bioenergy in the era of circular economy: Anaerobic digestion technological solutions to produce biogas from lipid-rich wastes," Renewable Energy, Elsevier, vol. 168(C), pages 438-447.
    2. Abhirup Khanna & Bhawna Yadav Lamba & Sapna Jain & Vadim Bolshev & Dmitry Budnikov & Vladimir Panchenko & Alexandr Smirnov, 2023. "Biodiesel Production from Jatropha: A Computational Approach by Means of Artificial Intelligence and Genetic Algorithm," Sustainability, MDPI, vol. 15(12), pages 1-33, June.
    3. Bukkarapu, Kiran Raj & Krishnasamy, Anand, 2022. "A critical review on available models to predict engine fuel properties of biodiesel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    4. Iftikhar Ahmad & Adil Sana & Manabu Kano & Izzat Iqbal Cheema & Brenno C. Menezes & Junaid Shahzad & Zahid Ullah & Muzammil Khan & Asad Habib, 2021. "Machine Learning Applications in Biofuels’ Life Cycle: Soil, Feedstock, Production, Consumption, and Emissions," Energies, MDPI, vol. 14(16), pages 1-27, August.
    5. Shelare, Sagar D. & Belkhode, Pramod N. & Nikam, Keval Chandrakant & Jathar, Laxmikant D. & Shahapurkar, Kiran & Soudagar, Manzoore Elahi M. & Veza, Ibham & Khan, T.M. Yunus & Kalam, M.A. & Nizami, Ab, 2023. "Biofuels for a sustainable future: Examining the role of nano-additives, economics, policy, internet of things, artificial intelligence and machine learning technology in biodiesel production," Energy, Elsevier, vol. 282(C).
    6. Talal Yusaf & Mohd Kamal Kamarulzaman & Abdullah Adam & Sakinah Hisham & Devarajan Ramasamy & Kumaran Kadirgama & Mahendran Samykano & Sivaraos Subramaniam, 2022. "Physical-Chemical Properties Modification of Hermetia Illucens Larvae Oil and Diesel Fuel for the Internal Combustion Engines Application," Energies, MDPI, vol. 15(21), pages 1-17, October.
    7. Hüseyin Çamur & Ebaa Alassi, 2021. "Physicochemical Properties Enhancement of Biodiesel Synthesis from Various Feedstocks of Waste/Residential Vegetable Oils and Palm Oil," Energies, MDPI, vol. 14(16), pages 1-29, August.

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