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Stability of biodiesel – A review

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  • Saluja, Rajesh Kumar
  • Kumar, Vineet
  • Sham, Radhey

Abstract

Biodiesel is the common name given to ethyl or methyl esters of long chain fatty acids obtained from vegetable oils or animal fats. Biodiesel is renewable, non toxic, biodegradable and usually contains no sulfur or aromatic compounds. The drawbacks of biodiesel are that it costs more than petroleum based diesel, softens and deteriorates certain elastomers and rubber compounds that are used in parts of fuel injection system such as fuel and pump seals. Another very important problem associated with the biodiesel is its storage as biodiesel is vulnerable to oxidation due to environmental factors such as air, moisture light etc. During oxidation, biodiesel breaks into unwanted smaller chain compounds such as aldehydes, small chain esters etc. beyond tolerable limits. Thus the oxidation process deteriorates fuel quality which can cause problems such as choking of injector and fuel filter and formation of deposits in various components of the fuel system including combustion chamber. Therefore it is essential to conduct the stability analysis of the biodiesel. A lot of work has been published on the stability of biodiesels. This paper discusses in detail about the types, causes and the effects of instability, about various tests and standards used for analyzing stability, various parameters and values used to measure and quantify stability, effects of various external agents such as antioxidants on the Stability. It also discusses the recent trends in the ongoing research in this field. It is the critical study of the previous works done on the stability of the biodiesel.

Suggested Citation

  • Saluja, Rajesh Kumar & Kumar, Vineet & Sham, Radhey, 2016. "Stability of biodiesel – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 866-881.
  • Handle: RePEc:eee:rensus:v:62:y:2016:i:c:p:866-881
    DOI: 10.1016/j.rser.2016.05.001
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    2. Rocabruno-Valdés, C.I. & González-Rodriguez, J.G. & Díaz-Blanco, Y. & Juantorena, A.U. & Muñoz-Ledo, J.A. & El-Hamzaoui, Y. & Hernández, J.A., 2019. "Corrosion rate prediction for metals in biodiesel using artificial neural networks," Renewable Energy, Elsevier, vol. 140(C), pages 592-601.
    3. Fernandes, David M. & Squissato, André L. & Lima, Alexandre F. & Richter, Eduardo M. & Munoz, Rodrigo A.A., 2019. "Corrosive character of Moringa oleifera Lam biodiesel exposed to carbon steel under simulated storage conditions," Renewable Energy, Elsevier, vol. 139(C), pages 1263-1271.
    4. Savvas L. Douvartzides & Nikolaos D. Charisiou & Kyriakos N. Papageridis & Maria A. Goula, 2019. "Green Diesel: Biomass Feedstocks, Production Technologies, Catalytic Research, Fuel Properties and Performance in Compression Ignition Internal Combustion Engines," Energies, MDPI, vol. 12(5), pages 1-41, February.
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    6. Varatharajan, K. & Pushparani, D.S., 2018. "Screening of antioxidant additives for biodiesel fuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2017-2028.
    7. Sergio Nogales-Delgado & José María Encinar & Juan Félix González, 2019. "Safflower Biodiesel: Improvement of its Oxidative Stability by Using BHA and TBHQ," Energies, MDPI, vol. 12(10), pages 1-13, May.
    8. Mahmudul, H.M. & Hagos, F.Y. & Mamat, R. & Adam, A. Abdul & Ishak, W.F.W. & Alenezi, R., 2017. "Production, characterization and performance of biodiesel as an alternative fuel in diesel engines – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 497-509.
    9. Sergio Nogales-Delgado & Nuria Sánchez & José María Encinar, 2020. "Valorization of Cynara Cardunculus L. Oil as the Basis of a Biorefinery for Biodiesel and Biolubricant Production," Energies, MDPI, vol. 13(19), pages 1-19, September.
    10. Lin, Cherng-Yuan & Lu, Cherie, 2021. "Development perspectives of promising lignocellulose feedstocks for production of advanced generation biofuels: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    11. Gniewko Niedbała, 2019. "Application of Artificial Neural Networks for Multi-Criteria Yield Prediction of Winter Rapeseed," Sustainability, MDPI, vol. 11(2), pages 1-13, January.
    12. Georgeio Semaan & Guizhou Wang & Quoc Si Vo & Gopalakrishnan Kumar, 2024. "The Potential Relationship between Biomass, Biorefineries, and Bitcoin," Sustainability, MDPI, vol. 16(18), pages 1-13, September.
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