Prediction of diesel engine performance, emissions and cylinder pressure obtained using Bioethanol-biodieseldiesel fuel blends through an artificial neural network

Journal of Energy in Southern Africa

Volumn 26, Issue 2, 2015, Pages 74-83

  Aydogan, Hasan ^a  

^a SELCUK UNIVERSITY   (Turkey)

Author keywords

Artificial neural networks; Biodiesel fuel; Bioethanol; Diesel engine

Indexed keywords

EID: 84937036714     PISSN: 1021447X     EISSN: 24133051     Source Type: Trade Journal    
DOI: 10.17159/2413-3051/2015/v26i2a2198     Document Type: Article

References (45)

1. Acaroglu, M. and Aydogan, H. (2012). Biofuels energy sources and future of biofuels energy in Turkey. Biomass & Bioenergy, 36:69-76.
2. Adeyemo O, Wise R, and Brent A, (2011). The impacts of biodiesel feedstock production systems in South Africa: An application of a Partial Equilibrium Model to the Eastern Cape Social Accounting Matrix, Journal of Energy in Southern Africa, 22(1);1-11.
3. Agarwal, A.K. and Dhar, A. (2013). Experimental investigations of performance, emission and combustion characteristics of Karanja oil blends fuelled DICI engine. Renewable Energy, 52:283-291.
4. Amiri, S., Mehrnia, M.R., Barzegari, D., and Yazdani, A. (2011). An artificial neural network for prediction of gas holdup in bubble columns with oily solutions. Neural Computing and Applications, 20:487-494.
5. Armas, O., Martínez-Martínez, S., and Mata, C. (2011). Effect of an ethanol-biodiesel-diesel blend on a common rail injection system. Fuel Processing Technology, 92:2145-2153.
6. Aydogan, H., Altun, A.A., and Ozcelik, A.E. (2011). Performance Analysis of a Turbocharged Diesel Engine Using Biodiesel with Back Propagation Artificial Neural Network. Energy Education Science and Technology Part A., 28:459-468.
7. Aydogan, H., Ozcelik, A.E., and Acaroglu, M. (2011). The Effect of Peanut Oil Methyl Ester on the Performance and Emissions of a Diesel Engine with a Pump Injection Fuel System. Energy Education Science and Technology Part A, 28:189-200.
8. Balti, A., Sayadi, M., and Fnaiech F. (2013). Fingerprint Verification Based on Back Propagation Neural Network. Control Engineering and Applied Informatics, 15(3):53-60.
9. Breda, K. (2011). Influence of biodiesel on engine combustion and emission characteristics. Applied Energy, 88:1803-1812.
10. Brunschwig, C., Moussavou, W., and Blin, J. (2012). Use of bioethanol for biodiesel production. Progress in Energy and Combustion Science, 38:283-301.
11. Canakci, M., Erdil, A., and Arcaklioglu, E. (2006). Performance and exhaust emissions of a biodiesel engine. Applied Energy, 83:594-605.
12. Cay, Y. (2013). Prediction of a gasoline engine performance with artificial neural network. Fuel, 111:324- 331.
13. Demirbas, A. (2008). Biofuels sources, biofuel policy, biofuel economy and global biofuel projections. Energy Conversion and Management, 49:2106- 2116.
14. Ma, Y., Zhu, M., and Zhang, D. (2013). The effect of a homogeneous combustion catalyst on exhaust emissions from a single cylinder diesel engine. Applied Energy, 102:556-562.
15. Fahd M.E.A., Wenming, Y., Lee, P.S., Chou, S.K., and Yap, C.R. (2013). Experimental investigation of the performance and emission characteristics of direct injection diesel engine by water emulsion diesel under varying engine load condition. Applied Energy, 102:1042-1049.
16. Ghazikhani, M., and Mirzaii, I. (2011). Soot emission prediction of a waste-gated turbo-charged DI diesel engine using artificial neural network. Neural Computing and Applications, 20:303-308.
17. Ghobadian, B., Rahimi, H., Nikbakht, A.M., Najafi, G., and Yusaf, T.F. (2009). Diesel engine performance and exhaust emission analysis using waste cooking biodiesel fuel with an artificial neural network. Renewable Energy, 34:976-982.
18. Guido, C., Beatrice. C., and Napolitano, P. (2013). Application of bioethanol/RME/diesel blend in a Euro5 automotive diesel engine: Potentiality of closed loop combustion control technology. Applied Energy, 102:13-23.
19. Hadi, R., Barat, G., Talal, Y., Gholamhasan, N., and Mahdi, K. (2009). Diesterol: an environment friendly IC engine fuel. Renewable Energy, 34:335-342.
20. Hafaifa, A., Djeddi, A.Z., and Daoudi A. (2013). Fault detection and isolation in industrial control valve based on artificial neural networks diagnosis. Control Engineering and Applied Informatics, 15(3):61-69.
21. Hazar, H. (2010). Cotton methyl ester usage in a diesel engine equipped with insulated combustion chamber. Applied Energy, 87:134-140.
22. Hsieh, W.D., Chen, R.H., Wu, T.L., and Lin, T.H. (2002). Engine performance and pollutant emission of an SI engine using ethanol-gasoline blended fuels. Atmospheric Environment, 36:403-410.
23. Hulwan, D.B., and Joshi, S.V. (2011). Performance, emission and combustion characteristic of a multicylinder DI diesel engine running on dieselethanol- biodiesel blends of high ethanol content. Applied Energy, 88:5042-5055.
24. Ioanas, G.L. (2002). Modelling, Identification and Prediction of Inherent quasi-stationary Pressure Dynamics of a Common-Rail System using Neuro- Fuzzy Structures with Local Linear ARX models. Control Engineering and Applied Informatics, 14(3):61-70.
25. Ismaila, H.M., Nga, H.K., Quecka, C.W., and Ganb, S. (2012). Artificial neural networks modelling of engine-out responses for a light-duty diesel engine fuelled with biodiesel blends. Applied Energy, 92:769-777.
26. Park, S.H., and Lee, C.S. (2013). Combustion performance and emission reduction characteristics of automotive DME engine system. Progress in Energy and Combustion Science, 39:147-168.
27. Kannan, G.R., Karvembu, R., and Anand, R. (2011). Effect of metal based additive on performance emission and combustion characteristics of diesel engine fuelled with biodiesel. Applied Energy, 88:3694- 3703.
28. Morisugi, H., Ohno, E. (1996). NOx Reduction Effects of the Policy to Reduce Diesel Automobiles and its Influence on Price Change. Transport, Land-Use and the Environment Transportation Research, Economics and Policy, 171-190.
29. Mrad, N., Varuvel, E.G., Tazerout, M., and Aloui, F. (2012). Effects of biofuel from fish oil industrial residue-Diesel blends in diesel engine. Energy, 44:955-963.
30. Park, S.H., Cha, J., and Lee, C.S. (2012). Impact of biodiesel in bioethanol blended diesel on the engine performance and emissions characteristics in compression ignition engine. Applied Energy, 99:334- 343.
31. Pilusa T.J., Huberts R., and Muzenda E. (2013). Emissions analysis from combustion of eco-fuel briquettes for domestic applications. Journal of Energy in Southern Africa, 24 (4): 30-36.
32. Qi, D.H., Chen, H., Geng, L.M., and Bian, Y.Z. (2011). Effect of diethyl ether and ethanol additives on the combustion and emission characteristics of biodieseldiesel blended fuel engine. Renewable Energy, 36:1252-1258.
33. SAE (2001). SAE handbook, MI Vol. 1, Warrendale, SAE: 1304-1306.
34. Sefriti, S., Boumhidi, J., Naoual, R., and Boumhidi, I. (2002). Adaptive Neural Network Sliding Mode Control for Electrically-Driven Robot Manipulators. Control Engineering and Applied Informatics, 14(4):27-32.
35. Sharkey, A.J.C., Chandroth, G.O., and Sharkey, N.E., (2000) A Multi-Net System for the Fault Diagnosis of a Diesel Engine. Neural Computing and Applications, 9:152-160.
36. Shi, X., Yu, Y., He, H., Shuai, S., Wang, J., and Li, R. (2005). Emission characteristics using methyl soyate- ethanol-diesel fuel blends on a diesel engine. Fuel, 84:1543-1549.
37. Singh, A.K., Tyagi, B., Kumar, V. (2013). Application of Neural Network based Control Strategies to Binary Distillation Column. Control Engineering and Applied Informatics, 15(4):47-57.
38. Soloiu, V., Duggan, M., Harp, S., Vlcek, B., and Williams, D. (2013). PFI (port fuel injection) of nbutanol and direct injection of biodiesel to attain LTC (low-temperature combustion) for low-emissions idling in a compression engine. Energy, 52:143-154.
39. Stone, R. (1999). Introduction to internal combustion engines. 3rd Ed. New York: Macmillan.
40. Torrisi, N.M., and Sabino, M. (2013). Biodiesel production control using PNN and Coriolis flowmeter. Neural Computing and Applications, 23:1275-1282.
41. Uzun, A. (2014). Air mass flow estimation of diesel engines using neural network. Fuel, 117:833-838.
42. Yilmaz, N., and Sanchez, T.M. (2012). Analysis of operating a diesel engine on biodiesel-ethanol and biodiesel-methanol blends. Energy, 46:126-129.
43. Yilmaz, S., and Bilgin, M.Z. (2013). Modelling and simulation of injection control system on a four-stroke type diesel engine development platform using artificial neural networks. Neural Computing and Applications, 22:1713-1725.
44. Zhou, J.H., Cheung, C.S., and Leung, C.W. (2013). Combustion, performance and emissions of ULSD, PME and B50 fuelled multi-cylinder diesel engine with naturally aspirated hydrogen. International Journal of Hydrogen Energy, 34: 14837-14848.
45. Zhu, L., Cheung, C.S., Zhang, W.G., and Huang, Z. (2010). Emissions characteristics of a diesel engine operating on biodiesel and biodiesel blended with ethanol and methanol. Science of the Total Environment, 408: 914-921.