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Modeling of a dual fueled diesel engine operated by a novel fuel containing glycerol triacetate additive and biodiesel using artificial neural network tuned by genetic algorithm to reduce engine emissions

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  • Najafi, Bahman
  • Akbarian, Eivaz
  • Lashkarpour, S. Mehdi
  • Aghbashlo, Mortaza
  • Ghaziaskar, Hassan S.
  • Tabatabaei, Meisam

Abstract

In this study, a diesel engine was modified to operate in dual fuel mode with natural gas as the main fuel and a novel fuel mixture of biodiesel and glycerol triacetate additive as pilot fuel. Regarding to experimental tests results, engine emissions were modeled using a combination of artificial neural network and genetic algorithm to determine the appropriate ratio of pilot fuel to gaseous fuel, biodiesel and additive to reduce engine emissions. The algorithm inputs were engine torque, pilot fuel and natural gas consumption, biodiesel and additive proportions in pilot fuel, while outputs were exhaust emissions including NOx, PM, CO, and UHC. Overall, the results of the modeling were consistent well with experimental data. Simulations were performed for a variety of biodiesel and additive compositions and it was accordingly concluded that by using biodiesel and additive, NOx and CO emissions were reduced by up to 63% and 42%, respectively, while PM was reduced substantially by 27 times in comparison with neat diesel fuel in the diesel operation mode. In the dual fuel mode, 24% reduction in NOx emission. However, under these circumstances, UHC emission was 10% higher than that of the diesel operation mode.

Suggested Citation

  • Najafi, Bahman & Akbarian, Eivaz & Lashkarpour, S. Mehdi & Aghbashlo, Mortaza & Ghaziaskar, Hassan S. & Tabatabaei, Meisam, 2019. "Modeling of a dual fueled diesel engine operated by a novel fuel containing glycerol triacetate additive and biodiesel using artificial neural network tuned by genetic algorithm to reduce engine emiss," Energy, Elsevier, vol. 168(C), pages 1128-1137.
    • Handle: RePEc:eee:energy:v:168:y:2019:i:c:p:1128-1137
    DOI: 10.1016/j.energy.2018.11.142
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    1. Mahla, S.K. & Dhir, Amit & Gill, Kanwar J.S. & Cho, Haeng Muk & Lim, Hee Chang & Chauhan, Bhupendra Singh, 2018. "Influence of EGR on the simultaneous reduction of NOx-smoke emissions trade-off under CNG-biodiesel dual fuel engine," Energy, Elsevier, vol. 152(C), pages 303-312.
    2. Lotfan, S. & Ghiasi, R. Akbarpour & Fallah, M. & Sadeghi, M.H., 2016. "ANN-based modeling and reducing dual-fuel engine’s challenging emissions by multi-objective evolutionary algorithm NSGA-II," Applied Energy, Elsevier, vol. 175(C), pages 91-99.
    3. Ryu, Kyunghyun, 2013. "Effects of pilot injection timing on the combustion and emissions characteristics in a diesel engine using biodiesel–CNG dual fuel," Applied Energy, Elsevier, vol. 111(C), pages 721-730.
    4. Li, Weifeng & Liu, Zhongchang & Wang, Zhongshu, 2016. "Experimental and theoretical analysis of the combustion process at low loads of a diesel natural gas dual-fuel engine," Energy, Elsevier, vol. 94(C), pages 728-741.
    5. Chintala, V. & Subramanian, K.A., 2015. "An effort to enhance hydrogen energy share in a compression ignition engine under dual-fuel mode using low temperature combustion strategies," Applied Energy, Elsevier, vol. 146(C), pages 174-183.
    6. Hosmath, R.S. & Banapurmath, N.R. & Khandal, S.V. & Gaitonde, V.N. & Basavarajappa, Y.H. & Yaliwal, V.S., 2016. "Effect of compression ratio, CNG flow rate and injection timing on the performance of dual fuel engine operated on honge oil methyl ester (HOME) and compressed natural gas (CNG)," Renewable Energy, Elsevier, vol. 93(C), pages 579-590.
    7. Bahman Najafi & Sina Faizollahzadeh Ardabili & Amir Mosavi & Shahaboddin Shamshirband & Timon Rabczuk, 2018. "An Intelligent Artificial Neural Network-Response Surface Methodology Method for Accessing the Optimum Biodiesel and Diesel Fuel Blending Conditions in a Diesel Engine from the Viewpoint of Exergy and," Energies, MDPI, vol. 11(4), pages 1-18, April.
    8. Yadav, Jaykumar & Ramesh, A., 2018. "Injection strategies for reducing smoke and improving the performance of a butanol-diesel common rail dual fuel engine," Applied Energy, Elsevier, vol. 212(C), pages 1-12.
    9. Fraioli, Valentina & Mancaruso, Ezio & Migliaccio, Marianna & Vaglieco, Bianca Maria, 2014. "Ethanol effect as premixed fuel in dual-fuel CI engines: Experimental and numerical investigations," Applied Energy, Elsevier, vol. 119(C), pages 394-404.
    10. Namasivayam, A.M. & Korakianitis, T. & Crookes, R.J. & Bob-Manuel, K.D.H. & Olsen, J., 2010. "Biodiesel, emulsified biodiesel and dimethyl ether as pilot fuels for natural gas fuelled engines," Applied Energy, Elsevier, vol. 87(3), pages 769-778, March.
    11. Khalife, Esmail & Kazerooni, Hanif & Mirsalim, Mostafa & Roodbar Shojaei, Taha & Mohammadi, Pouya & Salleh, Amran Mohd & Najafi, Bahman & Tabatabaei, Meisam, 2017. "Experimental investigation of low-level water in waste-oil produced biodiesel-diesel fuel blend," Energy, Elsevier, vol. 121(C), pages 331-340.
    12. Payri, F. & Olmeda, P. & Martín, J. & García, A., 2011. "A complete 0D thermodynamic predictive model for direct injection diesel engines," Applied Energy, Elsevier, vol. 88(12), pages 4632-4641.
    13. Çay, Yusuf & Korkmaz, Ibrahim & Çiçek, Adem & Kara, Fuat, 2013. "Prediction of engine performance and exhaust emissions for gasoline and methanol using artificial neural network," Energy, Elsevier, vol. 50(C), pages 177-186.
    14. Geng, Zhiqiang & Yang, Xiao & Han, Yongming & Zhu, Qunxiong, 2017. "Energy optimization and analysis modeling based on extreme learning machine integrated index decomposition analysis: Application to complex chemical processes," Energy, Elsevier, vol. 120(C), pages 67-78.
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