Volume- 2
Issue- 6
Year- 2015
Article Tools: Print the Abstract | Indexing metadata | How to cite item | Email this article | Post a Comment
Petar Halachev
The cetane number is important for the process of production of the diesel fuels. This article offers a model for forecasting the cetane number by neural networks. The proposed model is compared with a standardized by the organization ASTM method for forecasting, used in the factories of LUKOIL. For this purpose the laboratories of LUKOIL have tested 140 samples of diesel fuel, and the data, provided by them include the cetane number and the density, plus three more indicators expressed in a scale defined by the organization ASTM, also established empirically. As a result, estimation made by the neural network has less error than the method used in the enterprise.
[1] British Petroleum - automotive diesel fuel - Questions and Answers, Retrieved from http://www.bp.com/content/dam/bpcountry/en_au/media/fuel-news/automotive-diesel-fuel-qa.pdf
[2] American Society for Testing and Materials, Cetane number ASTM D613, Retrieved from http://www.astm.org/Standards/D613.htm
[3] American Society for Testing and Materials, Standard Test Method for Calculated Cetane Index, Retrieved from http://www.astm.org/Standards/D4737.htm
[4] Hong Yanga, Zbigniew Ringa, Yevgenia Brikera, Norma McLeana, Wally Friesenb, Craig Fairbridgea, Neural network prediction of cetane number and density of diesel fuel from its chemical composition determined by LC and GC-MS, Prepr. Pap.-Am. Chem. Soc., Div. Fuel Chem. 2004, 49 (1), 81
[5] AS Ramadhasa, S. Jayaraja, C. Muraleedharana, K. Padmakumarib, Artificial neural networks used for the prediction of the cetane number of biodiesel, Renewable Energy, Volume 31, Issue 15, December 2006, Pages 2524-2533, Calicut- 673 601, India
[6] B. Basu, GS Kapur, AS Sarpal, and R. Meusinger, A Neural Network Approach to the Prediction of Cetane Number of Diesel Fuels Using Nuclear Magnetic Resonance (NMR) Spectroscopy # Indian Oil Corporation Limited, R & D Centre, Sector- 13 , Faridabad- 121007, Haryana, India, and Institute of Organic Chemistry, Technical University of Darmstadt, Petersenstr. 22 , D- 64287 Darmstadt, Germany, Energy Fuels, 2003 , 17 ( 6 ), pp 1570-1575
[7] Ramón Piloto-Rodrígueza, Yisel Sánchez-Borrotoa, Magin Lapuertab, Leonardo Goyos-Péreza, Sebastian Verhelstc, Prediction of the cetane number of biodiesel using artificial neural networks and multiple linear regression, Energy Conversion and Management, Volume 65, January 2013, pp. 255–261
[8] "Lukoil Bulgaria" Ltd. Retrieved from http://www.lukoil.bg/
[9] SPSS software, Retrieved fro www.ibm.com/software/analytics/spss/
[10] MATLAB software, Retrieved from http://www.mathworks.com/products/matlab
Department of Informatics, University of Chemical technology and Metallurgy, Bulgaria, Sofia,
No. of Downloads: 6 | No. of Views: 761
Tushar Maurya, Saurav Kumar Singh, Vikram Thakur, Sachin Chawla.
June 2024 - Vol 11, Issue 3
Lakshya Mall, Priyanka Vashisht, Ashima Narang.
June 2024 - Vol 11, Issue 3
Abhishek Patil, Diya Raut, Roshani Prasad, Charudatta Shimpi.
April 2024 - Vol 11, Issue 2