Performance and exhaust emissions of a biodiesel engine

Applied Energy

Volumn 83, Issue 6, 2006, Pages 594-605

  Canakci, Mustafa ^a   Erdil, Ahmet ^a   Arcaklioǧlu, Erol ^b  

^a KOCAELI UNIVERSITY   (Turkey)

^b KIRIKKALE UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; Biodiesel; Engine performance; Exhaust emissions

Indexed keywords

BACKPROPAGATION; FEEDSTOCKS; LEARNING ALGORITHMS; NEURAL NETWORKS; PARTICULATE EMISSIONS; PETROLEUM DISTILLATES;

BIODIESEL; ENGINE PERFORMANCE; EXHAUST EMISSIONS; KINEMATIC VISCOSITY;

DIESEL ENGINES;

BACKPROPAGATION; DIESEL ENGINES; FEEDSTOCKS; LEARNING ALGORITHMS; NEURAL NETWORKS; PARTICULATE EMISSIONS; PETROLEUM DISTILLATES;

ARTIFICIAL NEURAL NETWORK; BIOFUEL; EXHAUST EMISSION;

GLYCINE MAX;

EID: 33644895012     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2005.05.003     Document Type: Article

References (20)

1. M. Canakci, and J.H. Van Gerpen Comparison of engine performance and emissions for petroleum diesel-fuel, yellow-grease biodiesel and soybean-oil biodiesel Trans ASAE 46 2003 937 944
2. D.Y.Z. Chang, J.H. Van Gerpen, I. Lee, L.A. Johnson, E.G. Hammond, and S.J. Marley Fuel properties and emissions of soybean oil esters as diesel fuel JAOCS 73 1996 1549 1555
3. B Freedman, and EH Pryde Fatty esters from vegetable oils for use as a diesel fuel Vegetable-oil fuels: Proceedings of the int. conf. on plant and vegetable oils as fuels 1982 ASAE Fargo, ND 117 122
4. M.S. Graboski, and R.L. McCormick Combustion of fat and vegetable-oil derived fuels in diesel engines Prog Energy Combus Sci 24 1998 125 164
5. D. Yuanwang, Z. Meilin, X. Dong, and C. Xiaobei An analysis for effect of cetane number on exhaust emissions from an engine with the neural network Fuel 81 2002 1963 1970
6. A. Sözen, and E. Arcakhoǧlu Prediction of solar potential in Turkey Appl Energ 80 2005 35 45
7. E. Arcakhoǧlu, A. Çavuşoǧlu, and A. Erisen Thermodynamic analyses of refrigerant mixtures using artificial neural-networks Appl Energ 78 2004 219 230
8. Massie DD. Neural-network fundamentals for scientists and engineers. ECOS'01, 4-6 July, İstanbul, Turkey; 2001. p. 123.
9. M. Gölcü, Y. Sekmen, P. Erduranli, and M.S. Salman Artificial neural-network based modeling of variable valve-timing in a spark-ignition engine Appl Energy 81 2005 187 197
10. E. Arcakhoǧlu, and İ Çelikten Performance and exhaust emissions in a diesel engine Appl Energ 80 2005 11 22
11. A. More, and M.C. Deo Forecasting wind with neural networks Marine Struct 16 2003 35 49
12. A. Yahya, and S.J. Marley Performance and exhaust emissions of a compression-ignition engine operating on ester fuels at increased injection-pressure and advanced timing Biomass Bioenerg 6 1994 297 319
13. McDonald JF, Purcell DL, McClure BT, Kittelson DB. Emission characteristics of soy methyl ester fuels in a compression-ignition engine. SAE Paper 950400, 1995.
14. J.B. Heywood Internal-combustion engine fundamentals 1988 McGraw Hill New York
15. A. Monyem, J.H. Van Gerpen, and M. Canakci The effect of timing and oxidation on emissions from biodiesel-fueled engines Trans ASAE 44 2001 35 42
16. Chang DYZ, Van Gerpen JH. Fuel properties and engine performance for biodiesel prepared from modified feedstocks. SAE Paper No. 971684, 1997.
17. Ali Y. Beef tallow as a biodiesel fuel. Ph.D. Dissertation. University of Nebraska, Lincoln, NE, 1995.
18. G. Borman, and K.W. Ragland Combustion engineering 1998 McGraw Hill New York
19. M. Mittelbach, and P. Tritthart Diesel fuels derived from vegetable oils, III. Emission tests using methyl esters of used frying oil JAOCS 65 1988 1185 1187
20. Rickeard DJ. Thompson ND. A review of the potential for bio-fuels as transportation fuels. SAE Paper No. 932778, 1993.