Prediction of engine performance and exhaust emissions for gasoline and methanol using artificial neural network

Energy

Volumn 50, Issue 1, 2013, Pages 177-186

  Çay, Yusuf ^a   Korkmaz, Ibrahim ^b   Çiçek, Adem ^c   Kara, Fuat ^b  

^a KARABUK UNIVERSITY   (Turkey)

^b DUZCE UNIVERSITY   (Turkey)

^c YILDIRIM BEYAZIT UNIVERSITY   (Turkey)

Author keywords

ANN; Engine performance; Exhaust emissions; Gasoline; Methanol

Indexed keywords

BACKPROPAGATION ALGORITHMS; CARBON MONOXIDE; ENGINE CYLINDERS; FUEL CONSUMPTION; GASOLINE; HYDROCARBONS; LEARNING ALGORITHMS; METHANOL; NEURAL NETWORKS;

ANN; BRAKE SPECIFIC FUEL CONSUMPTION; CORRELATION COEFFICIENT; EMISSION CHARACTERISTICS; ENGINE PERFORMANCE; ENGINE SPEED; EXHAUST EMISSION; LEVENBERG-MARQUARDT LEARNING ALGORITHMS; NETWORK STRUCTURES; QUASI-NEWTON; SPECIFIC FUEL CONSUMPTION; TESTING DATA; TRAINING AND TESTING; UNBURNED HYDROCARBONS;

FORECASTING;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; DATA SET; ENGINE; EXHAUST EMISSION; FUEL CONSUMPTION; METHANOL; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; PREDICTION; TORQUE;

EID: 84872776856     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2012.10.052     Document Type: Article

References (26)

1. Cay Y., Cicek A., Kara F., Sagiroglu S. Prediction of engine performance for an alternative fuel using artificial neural network. Appl Therm Eng 2012, 37:217-225.
2. Lenin A.H., Azhagesan N., Berlin Selva Rex C.R., Thyagarajan K. Performance of diesel engine operating with pongamia methyl esters as biodiesel. Asian J Sci Res 2012, 5:153-161.
3. Xie F.X., Li X.P., Wang X.C., Su Y., Hong W. Research on using EGR and ignition timing to control load of a spark-ignition engine fuelled with methanol. Appl Therm Eng 2013, 50:1084-1091.
4. Cheng C.H., Cheung C.S., Chan T.L., Lee S.C., Yao C.D. Experimental investigation on the performance, gaseous and particulate emissions of a methanol fumigated diesel engine. Sci Total Environ 2008, 389:115-124.
5. Korkmaz I., Cay Y. The impact of methanol fuelled spark ignition engines on engine performance and exhaust emissions. Energ Educ Sci Technol Part A: Energ Sci Res 2012, 28(1):301-310.
6. Adnan R., Masjuki H.H., Mahlia T.M.I. Performance and emission analysis of hydrogen fuelled compression ignition engine with variable water injection timing. Energy 2012, 43:416-426.
7. Mohammadi P., Nikbakh A.M., Tabatabaei M., Farhadi K., Mohebbi A., Khatami M. Experimental investigation of performance and emission characteristics of DI diesel engine fuelled with polymer waste dissolved in biodiesel-blended diesel fuel. Energy 2012, 46(1):596-605.
8. Gong C.M., Huang K., Jia J.L., Su Y., Gao Q., Liu X.J. Regulated emissions from a direct-injection spark-ignition methanol engine. Energy 2011, 36:3379-3387.
9. Masi M. Experimental analysis on a spark ignition petrol engine fuelled with LPG (liquefied petroleum gas). Energy 2012, 41:252-260.
10. Rakopoulos D.C., Rakopoulos C.D., Giakoumis E.G., Dimaratos A.M. Characteristics of performance and emissions in high-speed direct injection diesel engine fuelled with diethyl ether/diesel fuel blends. Energy 2012, 43:214-224.
11. Chauhan B.S., Kumar N., Cho H.M. A study on the performance and emission of a diesel engine fuelled with Jatropha biodiesel oil and its blends. Energy 2012, 37:616-622.
12. Yilmaz N. Comparative analysis of biodiesel-ethanol-diesel and biodiesel-methanol-diesel blends in a diesel engine. Energy 2012, 40:210-213.
13. Yilmaz N., Sanchez T.M. Analysis of operating a diesel engine on biodiesel-ethanol and biodiesel-methanolblends. Energy 2012, 46(1):126-129.
14. Sayin C. Engine performance and exhaust gas emissions of methanol and ethanol-diesel blends. Fuel 2010, 89:3410-3415.
15. Anand K., Sharma R.P., Mehta P.S. Experimental investigations on combustion, performance and emissions characteristics of neat karanji biodiesel and its methanol blend in a diesel engine. Biomass Bioenerg 2011, 35:533-541.
16. Zhu L., Cheung C.S., Zhang W.G., Huang Z. Emissions characteristics of a diesel engine operating on biodiesel and biodiesel blended with ethanol and methanol. Sci Total Environ 2010, 408:914-921.
17. Ozsezen A.N., Canakci M. Performance and combustion characteristics of alcohol-gasoline blends at wide-open throttle. Energy 2011, 36:2747-2752.
18. Topcu I.B., Saridemir M. Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic. Comput Mater Sci 2008, 41:305-311.
19. Ismail H.M., Ng H.K., Queck C.W., Gan S. Artificial neural networks modelling of engine-out responses for a light-duty diesel engine fuelled with biodiesel blends. Appl Energy 2012, 92:769-777.
20. Tinaut F.V., Melgar A., Gimenez B., Reyes M. Prediction of performance and emissions of an engine fuelled with natural gas/hydrogen blends. Int J Hydrog Energy 2011, 36:947-956.
21. Yusaf T.F., Yousif B.F., Elawad M.M. Crude palm oil fuel for diesel-engines: experimental and ANN simulation approaches. Energy 2011, 36:4871-4878.
22. Sharon H., Jayaprakash R., Karthigai Selvan M., Soban Kumar D.R., Sundaresan A., Karuppasamy K. Biodiesel production and prediction of engine performance using SIMULINK model of trained neural network. Fuel 2012, 99:197-203.
23. Yap W.K., HoT Karri V. Exhaust emissions control and engine parameters optimization using artificial neural network virtual sensors for a hydrogen-powered vehicle. Int J Hydrog Energy 2012, 37:8704-8715.
24. Najafi G., Ghobadian B., Tavakoli T., Buttsworth D.R., Yusaf T.F., Faizollahnejad M. Performance and exhaust emissions of a gasoline engine with ethanol blended gasoline fuels using artificial neural network. Appl Energ 2009, 86:630-639.
25. Ghobadian B., Rahimi H., Nikbakht A.M., Najafi G., Yusaf T.F. Diesel engine performance and exhaust emission analysis using waste cooking biodiesel fuel with an artificial neural network. Renew Energ 2009, 34:976-982.
26. Deh Kiani M.K., Ghobadian B., Tavakoli T., Nikbakht A.M., Najafi G. Application of artificial neural networks for the prediction of performance and exhaust emissions in SI engine using ethanol- gasoline blends. Energy 2010, 35:65-69.