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Estimation of cetane numbers of biodiesel and diesel oils using regression and PSO-ANFIS models

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  • Noushabadi, Abolfazl Sajadi
  • Dashti, Amir
  • Raji, Mojtaba
  • Zarei, Alireza
  • Mohammadi, Amir H.

Abstract

One of the essential characteristics of diesel oils is their cetane number (CN) which indicates the ignition delay of the fuel in the process. In this study, using PSO-ANFIS technique, CNs of biodiesel and conventional diesel (called petrodiesel) oils were modeled and estimated based on the fatty acid methyl ester compositions of biodiesel oils and carbon type structure of the diesel fuels. For the first time, novel correlations were developed for the estimation of CNs of biodiesel and conventional diesel oils. For the models development, as the raw data, 232 biodiesel and 134 conventional diesel oils samples were derived from the literature. Based on the obtained results, the coefficient determinations (R2) of 0.91 and 0.93 and %AARD of 6.4 and 9.6 were obtained by PSO-ANFIS and MNR models for the estimation of biodiesel oil CN, respectively. The R2 of 0.98 and 0.96 and %AARD of 2 and 2.9 were resulted using PSO-ANFIS and MNR models for the prognostication of diesel oil CN, respectively. Based on the gained results, PSO-ANFIS and MNR algorithms are capable of estimating the biodiesel and diesel oils CNs. The novelty of this study is the development of novel correlations and smart models with high accuracies.

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  • Noushabadi, Abolfazl Sajadi & Dashti, Amir & Raji, Mojtaba & Zarei, Alireza & Mohammadi, Amir H., 2020. "Estimation of cetane numbers of biodiesel and diesel oils using regression and PSO-ANFIS models," Renewable Energy, Elsevier, vol. 158(C), pages 465-473.
    • Handle: RePEc:eee:renene:v:158:y:2020:i:c:p:465-473
    DOI: 10.1016/j.renene.2020.04.146
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    1. Balat, Mustafa & Balat, Havva, 2010. "Progress in biodiesel processing," Applied Energy, Elsevier, vol. 87(6), pages 1815-1835, June.
    2. Lapuerta, Magín & Rodríguez-Fernández, José & de Mora, Emilio Font, 2009. "Correlation for the estimation of the cetane number of biodiesel fuels and implications on the iodine number," Energy Policy, Elsevier, vol. 37(11), pages 4337-4344, November.
    3. Bakhtiyari, Ziba & Yazdanpanah, Masoud & Forouzani, Masoumeh & Kazemi, Navab, 2017. "Intention of agricultural professionals toward biofuels in Iran: Implications for energy security, society, and policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 341-349.
    4. Bemani, Amin & Xiong, Qingang & Baghban, Alireza & Habibzadeh, Sajjad & Mohammadi, Amir H. & Doranehgard, Mohammad Hossein, 2020. "Modeling of cetane number of biodiesel from fatty acid methyl ester (FAME) information using GA-, PSO-, and HGAPSO- LSSVM models," Renewable Energy, Elsevier, vol. 150(C), pages 924-934.
    5. Sharma, Yogesh Chandra & Singh, Veena, 2017. "Microalgal biodiesel: A possible solution for India’s energy security," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 72-88.
    6. Talebian-Kiakalaieh, Amin & Amin, Nor Aishah Saidina & Zarei, Alireza & Noshadi, Iman, 2013. "Transesterification of waste cooking oil by heteropoly acid (HPA) catalyst: Optimization and kinetic model," Applied Energy, Elsevier, vol. 102(C), pages 283-292.
    7. Ramadhas, A.S. & Jayaraj, S. & Muraleedharan, C. & Padmakumari, K., 2006. "Artificial neural networks used for the prediction of the cetane number of biodiesel," Renewable Energy, Elsevier, vol. 31(15), pages 2524-2533.
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