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Modeling diesel engine fueled with tamanu oil - Diesel blend by hybridizing neural network with firefly algorithm

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  • K.S.S Rao, Yarrapragada
  • Bala Krishna, B.

Abstract

Research works are ongoing in mixing the biologically synthesized oil with the diesel for reducing the effect of global warming and climate change. From the review study, it is noted that the blended biodiesels require more assert about their practical viability. So, the non-edible Tamanu oil is synthesized and it is blended with diesel and its emission characteristics, engine performance and combustion characteristics are studied in our previous work. This paper attempts to model the diesel engine fueled with tamanu oil biodiesel blend. The proposed model exploits the context of neural network and the firefly algorithm is used to train it. After analyzing the various characteristics of the diesel engine, the acquired data is subjected to a proposed FF-NM method. The simulated results are statistically evaluated and the proposed modeling method is proved to be better than the other NM.

Suggested Citation

  • K.S.S Rao, Yarrapragada & Bala Krishna, B., 2019. "Modeling diesel engine fueled with tamanu oil - Diesel blend by hybridizing neural network with firefly algorithm," Renewable Energy, Elsevier, vol. 134(C), pages 1200-1212.
    • Handle: RePEc:eee:renene:v:134:y:2019:i:c:p:1200-1212
    DOI: 10.1016/j.renene.2018.08.091
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    References listed on IDEAS

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    1. Atabani, A.E. & Silitonga, A.S. & Ong, H.C. & Mahlia, T.M.I. & Masjuki, H.H. & Badruddin, Irfan Anjum & Fayaz, H., 2013. "Non-edible vegetable oils: A critical evaluation of oil extraction, fatty acid compositions, biodiesel production, characteristics, engine performance and emissions production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 211-245.
    2. Bora, Bhaskor J. & Saha, Ujjwal K., 2016. "Experimental evaluation of a rice bran biodiesel – biogas run dual fuel diesel engine at varying compression ratios," Renewable Energy, Elsevier, vol. 87(P1), pages 782-790.
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    1. Evdoxia Paroutoglou & Peter Fojan & Leonid Gurevich & Alireza Afshari, 2022. "Thermal Properties of Novel Phase-Change Materials Based on Tamanu and Coconut Oil Encapsulated in Electrospun Fiber Matrices," Sustainability, MDPI, vol. 14(12), pages 1-20, June.

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