IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v168y2019icp1128-1137.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544218323533
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2018.11.142?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Ji & Wu, Dawei & Mohammadsami Attar, Hassan & Xu, Hongming, 2022. "Geometric neuro-fuzzy transfer learning for in-cylinder pressure modelling of a diesel engine fuelled with raw microalgae oil," Applied Energy, Elsevier, vol. 306(PA).
    2. Fagundez, J.L.S. & Lanzanova, T.D.M. & Martins, M.E.S. & Salau, N.P.G., 2020. "Joint use of artificial neural networks and particle swarm optimization to determine optimal performance of an ethanol SI engine operating with negative valve overlap strategy," Energy, Elsevier, vol. 204(C).
    3. Sedghi, Reza & Shahbeik, Hossein & Rastegari, Hajar & Rafiee, Shahin & Peng, Wanxi & Nizami, Abdul-Sattar & Gupta, Vijai Kumar & Chen, Wei-Hsin & Lam, Su Shiung & Pan, Junting & Tabatabaei, Meisam & A, 2022. "Turning biodiesel glycerol into oxygenated fuel additives and their effects on the behavior of internal combustion engines: A comprehensive systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    4. Iftikhar Ahmad & Adil Sana & Manabu Kano & Izzat Iqbal Cheema & Brenno C. Menezes & Junaid Shahzad & Zahid Ullah & Muzammil Khan & Asad Habib, 2021. "Machine Learning Applications in Biofuels’ Life Cycle: Soil, Feedstock, Production, Consumption, and Emissions," Energies, MDPI, vol. 14(16), pages 1-27, August.
    5. Su, Lijuan & Shao, Xiaojie & Chai, Lin & Ge, Hui & Wang, Hongliang & Cui, Xiaojing & Deng, Tiansheng & Hou, Xianglin, 2022. "Efficiently and directly produce triacetylglycerol from oils and fats over mesoporous polymeric solid acid catalysts," Renewable Energy, Elsevier, vol. 197(C), pages 432-442.
    6. Adhirath Mandal & Haengmuk Cho & Bhupendra Singh Chauhan, 2021. "ANN Prediction of Performance and Emissions of CI Engine Using Biogas Flow Variation," Energies, MDPI, vol. 14(10), pages 1-18, May.
    7. López, J.J. & Novella, R. & Gomez-Soriano, J. & Martinez-Hernandiz, P.J. & Rampanarivo, F. & Libert, C. & Dabiri, M., 2021. "Advantages of the unscavenged pre-chamber ignition system in turbocharged natural gas engines for automotive applications," Energy, Elsevier, vol. 218(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yousefi, Amin & Guo, Hongsheng & Birouk, Madjid & Liko, Brian, 2019. "On greenhouse gas emissions and thermal efficiency of natural gas/diesel dual-fuel engine at low load conditions: Coupled effect of injector rail pressure and split injection," Applied Energy, Elsevier, vol. 242(C), pages 216-231.
    2. Meng, Xiangyu & Zhou, Yihui & Yang, Tianhao & Long, Wuqiang & Bi, Mingshu & Tian, Jiangping & Lee, Chia-Fon F., 2020. "An experimental investigation of a dual-fuel engine by using bio-fuel as the additive," Renewable Energy, Elsevier, vol. 147(P1), pages 2238-2249.
    3. Ahmad, Zeeshan & Kaario, Ossi & Qiang, Cheng & Vuorinen, Ville & Larmi, Martti, 2019. "A parametric investigation of diesel/methane dual-fuel combustion progression/stages in a heavy-duty optical engine," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    4. 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.
    5. Wu, Horng-Wen & Fan, Chen-Ming & He, Jian-Yi & Hsu, Tzu-Ting, 2017. "Optimal factors estimation for diesel/methanol engines changing methanol injection timing and inlet air temperature," Energy, Elsevier, vol. 141(C), pages 1819-1828.
    6. Khandal, S.V. & Banapurmath, N.R. & Gaitonde, V.N., 2018. "Effect of hydrogen fuel flow rate, fuel injection timing and exhaust gas recirculation on the performance of dual fuel engine powered with renewable fuels," Renewable Energy, Elsevier, vol. 126(C), pages 79-94.
    7. T. M. Yunus Khan, 2020. "A Review of Performance-Enhancing Innovative Modifications in Biodiesel Engines," Energies, MDPI, vol. 13(17), pages 1-22, August.
    8. Park, Cheolwoong & Kim, Changgi & Lee, Sangho & Lee, Sunyoup & Lee, Janghee, 2019. "Comparative evaluation of performance and emissions of CNG engine for heavy-duty vehicles fueled with various caloric natural gases," Energy, Elsevier, vol. 174(C), pages 1-9.
    9. Sun, Ping & Zhang, Jufang & Dong, Wei & Li, Decheng & Yu, Xiumin, 2023. "Prediction of oxygen-enriched combustion and emission performance on a spark ignition engine using artificial neural networks," Applied Energy, Elsevier, vol. 348(C).
    10. Babu, D. & Thangarasu, Vinoth & Ramanathan, Anand, 2020. "Artificial neural network approach on forecasting diesel engine characteristics fuelled with waste frying oil biodiesel," Applied Energy, Elsevier, vol. 263(C).
    11. Sina Faizollahzadeh Ardabili & Bahman Najafi & Meysam Alizamir & Amir Mosavi & Shahaboddin Shamshirband & Timon Rabczuk, 2018. "Using SVM-RSM and ELM-RSM Approaches for Optimizing the Production Process of Methyl and Ethyl Esters," Energies, MDPI, vol. 11(11), pages 1-19, October.
    12. Guerry, E. Scott & Raihan, Mostafa S. & Srinivasan, Kalyan K. & Krishnan, Sundar R. & Sohail, Aamir, 2016. "Injection timing effects on partially premixed diesel–methane dual fuel low temperature combustion," Applied Energy, Elsevier, vol. 162(C), pages 99-113.
    13. Paul, Abhishek & Panua, Raj Sekhar & Debroy, Durbadal & Bose, Probir Kumar, 2014. "Effect of compressed natural gas dual fuel operation with diesel and Pongamia pinnata methyl ester (PPME) as pilot fuels on performance and emission characteristics of a CI (compression ignition) engi," Energy, Elsevier, vol. 68(C), pages 495-509.
    14. 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.
    15. Hegab, Abdelrahman & La Rocca, Antonino & Shayler, Paul, 2017. "Towards keeping diesel fuel supply and demand in balance: Dual-fuelling of diesel engines with natural gas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 666-697.
    16. Sergejus Lebedevas & Tomas Čepaitis, 2021. "Parametric Analysis of the Combustion Cycle of a Diesel Engine for Operation on Natural Gas," Sustainability, MDPI, vol. 13(5), pages 1-23, March.
    17. Doppalapudi, A.T. & Azad, A.K. & Khan, M.M.K., 2023. "Advanced strategies to reduce harmful nitrogen-oxide emissions from biodiesel fueled engine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 174(C).
    18. 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.
    19. Khayum, Naseem & Anbarasu, S. & Murugan, S., 2021. "Optimization of fuel injection parameters and compression ratio of a biogas fueled diesel engine using methyl esters of waste cooking oil as a pilot fuel," Energy, Elsevier, vol. 221(C).
    20. Xu, Min & Cheng, Wei & Li, Zhi & Zhang, Hongfei & An, Tao & Meng, Zhaokang, 2016. "Pre-injection strategy for pilot diesel compression ignition natural gas engine," Applied Energy, Elsevier, vol. 179(C), pages 1185-1193.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:168:y:2019:i:c:p:1128-1137. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.