IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v130y2014icp265-279.html
   My bibliography  Save this article

A control-oriented real-time semi-empirical model for the prediction of NOx emissions in diesel engines

Author

Listed:
  • d’Ambrosio, Stefano
  • Finesso, Roberto
  • Fu, Lezhong
  • Mittica, Antonio
  • Spessa, Ezio

Abstract

The present work describes the development of a fast control-oriented semi-empirical model that is capable of predicting NOx emissions in diesel engines under steady state and transient conditions. The model takes into account the maximum in-cylinder burned gas temperature of the main injection, the ambient gas-to-fuel ratio, the mass of injected fuel, the engine speed and the injection pressure. The evaluation of the temperature of the burned gas is based on a three-zone real-time diagnostic thermodynamic model that has recently been developed by the authors.

Suggested Citation

  • d’Ambrosio, Stefano & Finesso, Roberto & Fu, Lezhong & Mittica, Antonio & Spessa, Ezio, 2014. "A control-oriented real-time semi-empirical model for the prediction of NOx emissions in diesel engines," Applied Energy, Elsevier, vol. 130(C), pages 265-279.
    • Handle: RePEc:eee:appene:v:130:y:2014:i:c:p:265-279
    DOI: 10.1016/j.apenergy.2014.05.046
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261914005418
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2014.05.046?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. Asprion, Jonas & Chinellato, Oscar & Guzzella, Lino, 2013. "A fast and accurate physics-based model for the NOx emissions of Diesel engines," Applied Energy, Elsevier, vol. 103(C), pages 221-233.
    2. Roy, Sumit & Banerjee, Rahul & Bose, Probir Kumar, 2014. "Performance and exhaust emissions prediction of a CRDI assisted single cylinder diesel engine coupled with EGR using artificial neural network," Applied Energy, Elsevier, vol. 119(C), pages 330-340.
    3. Beatrice, Carlo & Napolitano, Pierpaolo & Guido, Chiara, 2014. "Injection parameter optimization by DoE of a light-duty diesel engine fed by Bio-ethanol/RME/diesel blend," Applied Energy, Elsevier, vol. 113(C), pages 373-384.
    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. Hu Wang & Xin Zhong & Tianyu Ma & Zunqing Zheng & Mingfa Yao, 2020. "Model Based Control Method for Diesel Engine Combustion," Energies, MDPI, vol. 13(22), pages 1-13, November.
    2. Stefano d’Ambrosio & Alessandro Ferrari & Alessandro Mancarella & Salvatore Mancò & Antonio Mittica, 2019. "Comparison of the Emissions, Noise, and Fuel Consumption Comparison of Direct and Indirect Piezoelectric and Solenoid Injectors in a Low-Compression-Ratio Diesel Engine," Energies, MDPI, vol. 12(21), pages 1-16, October.
    3. Di Battista, D. & Cipollone, R., 2016. "Experimental and numerical assessment of methods to reduce warm up time of engine lubricant oil," Applied Energy, Elsevier, vol. 162(C), pages 570-580.
    4. Tauzia, Xavier & Maiboom, Alain & Karaky, Hassan, 2017. "Semi-physical models to assess the influence of CI engine calibration parameters on NOx and soot emissions," Applied Energy, Elsevier, vol. 208(C), pages 1505-1518.
    5. Alessandro Falai & Daniela Anna Misul, 2023. "Data-Driven Model for Real-Time Estimation of NOx in a Heavy-Duty Diesel Engine," Energies, MDPI, vol. 16(5), pages 1-17, February.
    6. Liu, Yintong & Li, Liguang & Ye, Junyu & Wu, Zhijun & Deng, Jun, 2015. "Numerical simulation study on correlation between ion current signal and NOX emissions in controlled auto-ignition engine," Applied Energy, Elsevier, vol. 156(C), pages 776-782.
    7. Bo Liu & Fuwu Yan & Jie Hu & Richard Fiifi Turkson & Feng Lin, 2016. "Modeling and Multi-Objective Optimization of NO x Conversion Efficiency and NH 3 Slip for a Diesel Engine," Sustainability, MDPI, vol. 8(5), pages 1-13, May.
    8. Kumar, Madan & Tsujimura, Taku & Suzuki, Yasumasa, 2018. "NOx model development and validation with diesel and hydrogen/diesel dual-fuel system on diesel engine," Energy, Elsevier, vol. 145(C), pages 496-506.
    9. Roberto Finesso & Gilles Hardy & Claudio Maino & Omar Marello & Ezio Spessa, 2017. "A New Control-Oriented Semi-Empirical Approach to Predict Engine-Out NOx Emissions in a Euro VI 3.0 L Diesel Engine," Energies, MDPI, vol. 10(12), pages 1-26, November.
    10. Srivastava, Vivek & Schaub, Joschka & Pischinger, Stefan, 2023. "Model-based closed-loop control strategies for flex-fuel capability," Applied Energy, Elsevier, vol. 350(C).
    11. Kang, Yinhu & Wang, Quanhai & Lu, Xiaofeng & Wan, Hu & Ji, Xuanyu & Wang, Hu & Guo, Qiang & Yan, Jin & Zhou, Jinliang, 2015. "Experimental and numerical study on NOx and CO emission characteristics of dimethyl ether/air jet diffusion flame," Applied Energy, Elsevier, vol. 149(C), pages 204-224.
    12. Benaitier, Alexis & Krainer, Ferdinand & Jakubek, Stefan & Hametner, Christoph, 2023. "Optimal energy management of hybrid electric vehicles considering pollutant emissions during transient operations," Applied Energy, Elsevier, vol. 344(C).
    13. Mera, Zamir & Fonseca, Natalia & López, José-María & Casanova, Jesús, 2019. "Analysis of the high instantaneous NOx emissions from Euro 6 diesel passenger cars under real driving conditions," Applied Energy, Elsevier, vol. 242(C), pages 1074-1089.
    14. Bolan Liu & Xiaowei Ai & Pan Liu & Chuang Zhang & Xingqi Hu & Tianpu Dong, 2015. "Fuel Economy Improvement of a Heavy-Duty Powertrain by Using Hardware-in-Loop Simulation and Calibration," Energies, MDPI, vol. 8(9), pages 1-14, September.
    15. Seungha Lee & Youngbok Lee & Gyujin Kim & Kyoungdoug Min, 2017. "Development of a Real-Time Virtual Nitric Oxide Sensor for Light-Duty Diesel Engines," Energies, MDPI, vol. 10(3), pages 1-21, March.
    16. Aleksandra Banasiewicz & Paweł Śliwiński & Pavlo Krot & Jacek Wodecki & Radosław Zimroz, 2023. "Prediction of NOx Emission Based on Data of LHD On-Board Monitoring System in a Deep Underground Mine," Energies, MDPI, vol. 16(5), pages 1-16, February.

    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. Roberto Finesso & Gilles Hardy & Claudio Maino & Omar Marello & Ezio Spessa, 2017. "A New Control-Oriented Semi-Empirical Approach to Predict Engine-Out NOx Emissions in a Euro VI 3.0 L Diesel Engine," Energies, MDPI, vol. 10(12), pages 1-26, November.
    2. Rafael R. Maes & Geert Potters & Erik Fransen & Rowan Van Schaeren & Silvia Lenaerts, 2022. "Influence of Adding Low Concentration of Oxygenates in Mineral Diesel Oil and Biodiesel on the Concentration of NO, NO 2 and Particulate Matter in the Exhaust Gas of a One-Cylinder Diesel Generator," IJERPH, MDPI, vol. 19(13), pages 1-18, June.
    3. Sasanka Katreddi & Sujan Kasani & Arvind Thiruvengadam, 2022. "A Review of Applications of Artificial Intelligence in Heavy Duty Trucks," Energies, MDPI, vol. 15(20), pages 1-20, October.
    4. Li, Zilong & Zhang, Yaoyuan & Huang, Guan & Zhao, Wenbin & He, Zhuoyao & Qian, Yong & Lu, Xingcai, 2020. "Control of intake boundary conditions for enabling clean combustion in variable engine conditions under intelligent charge compression ignition (ICCI) mode," Applied Energy, Elsevier, vol. 274(C).
    5. Zamboni, Giorgio & Moggia, Simone & Capobianco, Massimo, 2016. "Hybrid EGR and turbocharging systems control for low NOX and fuel consumption in an automotive diesel engine," Applied Energy, Elsevier, vol. 165(C), pages 839-848.
    6. 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.
    7. Shahir, V.K. & Jawahar, C.P. & Suresh, P.R., 2015. "Comparative study of diesel and biodiesel on CI engine with emphasis to emissions—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 686-697.
    8. Benajes, J. & Novella, R. & Pastor, J.M. & Hernández-López, A. & Duverger, T., 2017. "A computational analysis of the impact of bore-to-stroke ratio on emissions and efficiency of a HSDI engine," Applied Energy, Elsevier, vol. 205(C), pages 903-910.
    9. Kayadelen, Hasan Kayhan, 2018. "A multi-featured model for estimation of thermodynamic properties, adiabatic flame temperature and equilibrium combustion products of fuels, fuel blends, surrogates and fuel additives," Energy, Elsevier, vol. 143(C), pages 241-256.
    10. Kshirsagar, Charudatta M. & Anand, Ramanathan, 2017. "Artificial neural network applied forecast on a parametric study of Calophyllum inophyllum methyl ester-diesel engine out responses," Applied Energy, Elsevier, vol. 189(C), pages 555-567.
    11. 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).
    12. Taghavifar, Hamid & Mardani, Aref & Karim Maslak, Haleh, 2015. "A comparative study between artificial neural networks and support vector regression for modeling of the dissipated energy through tire-obstacle collision dynamics," Energy, Elsevier, vol. 89(C), pages 358-364.
    13. Bishop, Justin D.K. & Stettler, Marc E.J. & Molden, N. & Boies, Adam M., 2016. "Engine maps of fuel use and emissions from transient driving cycles," Applied Energy, Elsevier, vol. 183(C), pages 202-217.
    14. Mohamed Shameer, P. & Ramesh, K. & Sakthivel, R. & Purnachandran, R., 2017. "Effects of fuel injection parameters on emission characteristics of diesel engines operating on various biodiesel: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1267-1281.
    15. Evangelos G. Giakoumis & George Triantafillou, 2018. "Analysis of the Effect of Vehicle, Driving and Road Parameters on the Transient Performance and Emissions of a Turbocharged Truck," Energies, MDPI, vol. 11(2), pages 1-21, January.
    16. Khayyam, Hamid & Naebe, Minoo & Bab-Hadiashar, Alireza & Jamshidi, Farshid & Li, Quanxiang & Atkiss, Stephen & Buckmaster, Derek & Fox, Bronwyn, 2015. "Stochastic optimization models for energy management in carbonization process of carbon fiber production," Applied Energy, Elsevier, vol. 158(C), pages 643-655.
    17. Evangelos G. Giakoumis & Alexandros T. Zachiotis, 2017. "Investigation of a Diesel-Engined Vehicle’s Performance and Emissions during the WLTC Driving Cycle—Comparison with the NEDC," Energies, MDPI, vol. 10(2), pages 1-19, February.
    18. Haiwen Song & Kelly Sison Quinton & Zhijun Peng & Hua Zhao & Nicos Ladommatos, 2016. "Effects of Oxygen Content of Fuels on Combustion and Emissions of Diesel Engines," Energies, MDPI, vol. 9(1), pages 1-12, January.
    19. Saravanan, S. & Kaliyanasunder, R. & Rajesh Kumar, B. & Lakshmi Narayana Rao, G., 2020. "Effect of design parameters on performance and emissions of a CI engine operated with diesel-biodiesel- higher alcohol blends," Renewable Energy, Elsevier, vol. 148(C), pages 425-436.
    20. Rahmani, R. & Rahnejat, H. & Fitzsimons, B. & Dowson, D., 2017. "The effect of cylinder liner operating temperature on frictional loss and engine emissions in piston ring conjunction," Applied Energy, Elsevier, vol. 191(C), pages 568-581.

    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:appene:v:130:y:2014:i:c:p:265-279. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.