IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v156y2015icp776-782.html
   My bibliography  Save this article

Numerical simulation study on correlation between ion current signal and NOX emissions in controlled auto-ignition engine

Author

Listed:
  • Liu, Yintong
  • Li, Liguang
  • Ye, Junyu
  • Wu, Zhijun
  • Deng, Jun

Abstract

NOX is one of the main compositions in the modern engine emissions and the reduction requirements of NOX have turned to be more stringent. To control NOX emissions better, the technologies of NOX sensors are forced to achieve much faster response and higher accuracy. In this paper, the correlation between ion current signals and NOX emissions is studied by both experiments and simulations in a direct-injection controlled auto-ignition (CAI) engine. The investigation provides the possibility of a novel method of cycle-by-cycle NOX emissions detection. The simulation results present this positive correlation based on the chemical kinetics theory, and also directly reflect the formation order of the chemical products and the influence of temperature on the rates of main ionization and NOX generated reactions. Furthermore, the distributions of both ions and NO products are shown with the CFD results, illustrating their in-cylinder space correlation. Combined with the simulation results, the experimental results not only validate the positive correlation between two different fuel types, but also provide the evidences of linear fitting function. Based on the fitting results, the cycle-based NOX emissions could be estimated.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:156:y:2015:i:c:p:776-782
    DOI: 10.1016/j.apenergy.2015.05.113
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261915007527
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2015.05.113?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. Maurya, Rakesh Kumar & Agarwal, Avinash Kumar, 2011. "Experimental investigation on the effect of intake air temperature and air-fuel ratio on cycle-to-cycle variations of HCCI combustion and performance parameters," Applied Energy, Elsevier, vol. 88(4), pages 1153-1163, April.
    3. Yang, Dong-bo & Wang, Zhi & Wang, Jian-Xin & Shuai, Shi-jin, 2011. "Experimental study of fuel stratification for HCCI high load extension," Applied Energy, Elsevier, vol. 88(9), pages 2949-2954.
    4. 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.
    5. Rezaei, Javad & Shahbakhti, Mahdi & Bahri, Bahram & Aziz, Azhar Abdul, 2015. "Performance prediction of HCCI engines with oxygenated fuels using artificial neural networks," Applied Energy, Elsevier, vol. 138(C), pages 460-473.
    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. Kumano, Kengo & Akagi, Yoshihiko & Matohara, Shinya & Uchise, Yoshifumi & Yamasaki, Yudai, 2020. "Using an ion-current sensor integrated in the ignition system to detect precursory phenomenon of pre-ignition in gasoline engines," Applied Energy, Elsevier, vol. 275(C).
    2. Wei, Li & Yan, Fuwu & Hu, Jie & Xi, Guangwei & Liu, Bo & Zeng, Jiawei, 2017. "Nox conversion efficiency optimization based on NSGA-II and state-feedback nonlinear model predictive control of selective catalytic reduction system in diesel engine," Applied Energy, Elsevier, vol. 206(C), pages 959-971.
    3. Chen, Yulin & Dong, Guangyu & Mack, J. Hunter & Butt, Ryan H. & Chen, Jyh-Yuan & Dibble, Robert W., 2016. "Cyclic variations and prior-cycle effects of ion current sensing in an HCCI engine: A time-series analysis," Applied Energy, Elsevier, vol. 168(C), pages 628-635.
    4. Chao, Yuedong & Chen, Xinye & Deng, Jun & Hu, Zongjie & Wu, Zhijun & Li, Liguang, 2018. "Additional injection timing effects on first cycle during gasoline engine cold start based on ion current detection system," Applied Energy, Elsevier, vol. 221(C), pages 55-66.

    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. Masurier, J.-B. & Foucher, F. & Dayma, G. & Dagaut, P., 2015. "Ozone applied to the homogeneous charge compression ignition engine to control alcohol fuels combustion," Applied Energy, Elsevier, vol. 160(C), pages 566-580.
    2. Ghazimirsaied, Ahmad & Koch, Charles Robert, 2012. "Controlling cyclic combustion timing variations using a symbol-statistics predictive approach in an HCCI engine," Applied Energy, Elsevier, vol. 92(C), pages 133-146.
    3. Maurya, Rakesh Kumar & Agarwal, Avinash Kumar, 2013. "Experimental investigation of cyclic variations in HCCI combustion parameters for gasoline like fuels using statistical methods," Applied Energy, Elsevier, vol. 111(C), pages 310-323.
    4. 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.
    5. Bahri, Bahram & Shahbakhti, Mahdi & Aziz, Azhar Abdul, 2017. "Real-time modeling of ringing in HCCI engines using artificial neural networks," Energy, Elsevier, vol. 125(C), pages 509-518.
    6. 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.
    7. 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.
    8. Song, Kang & Wang, Xinyan & Xie, Hui, 2018. "Trade-off on fuel economy, knock, and combustion stability for a stratified flame-ignited gasoline engine," Applied Energy, Elsevier, vol. 220(C), pages 437-446.
    9. Charalambides, A.G. & Sahu, S. & Hardalupas, Y. & Taylor, A.M.K.P. & Urata, Y., 2018. "Evaluation of Homogeneous Charge Compression Ignition (HCCI) autoignition development through chemiluminescence imaging and Proper Orthogonal Decomposition," Applied Energy, Elsevier, vol. 210(C), pages 288-302.
    10. 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.
    11. Chen, Yulin & Dong, Guangyu & Mack, J. Hunter & Butt, Ryan H. & Chen, Jyh-Yuan & Dibble, Robert W., 2016. "Cyclic variations and prior-cycle effects of ion current sensing in an HCCI engine: A time-series analysis," Applied Energy, Elsevier, vol. 168(C), pages 628-635.
    12. Hasan, M.M. & Rahman, M.M., 2016. "Homogeneous charge compression ignition combustion: Advantages over compression ignition combustion, challenges and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 282-291.
    13. Jain, Ayush & Singh, Akhilendra Pratap & Agarwal, Avinash Kumar, 2017. "Effect of split fuel injection and EGR on NOx and PM emission reduction in a low temperature combustion (LTC) mode diesel engine," Energy, Elsevier, vol. 122(C), pages 249-264.
    14. Jung, Dongwon & Iida, Norimasa, 2015. "Closed-loop control of HCCI combustion for DME using external EGR and rebreathed EGR to reduce pressure-rise rate with combustion-phasing retard," Applied Energy, Elsevier, vol. 138(C), pages 315-330.
    15. 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.
    16. Xie, Hui & Li, Le & Chen, Tao & Yu, Weifei & Wang, Xinyan & Zhao, Hua, 2013. "Study on spark assisted compression ignition (SACI) combustion with positive valve overlap at medium–high load," Applied Energy, Elsevier, vol. 101(C), pages 622-633.
    17. Desantes, J.M. & García-Oliver, J.M. & Vera-Tudela, W. & López-Pintor, D. & Schneider, B. & Boulouchos, K., 2016. "Study of the auto-ignition phenomenon of PRFs under HCCI conditions in a RCEM by means of spectroscopy," Applied Energy, Elsevier, vol. 179(C), pages 389-400.
    18. 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.
    19. An, Yanzhao & Raman, Vallinayagam & Tang, Qinglong & Shi, Hao & Sim, Jaeheon & Chang, Junseok & Magnotti, Gaetano & Johansson, Bengt, 2019. "Combustion stability study of partially premixed combustion with low-octane fuel at low engine load conditions," Applied Energy, Elsevier, vol. 235(C), pages 56-67.
    20. Wang, Jinqiu & Bedei, Julian & Deng, Jun & Andert, Jakob & Zhu, Denghao & Li, Liguang, 2021. "Detection of transient low-temperature combustion characteristics by ion current – The missing link for homogeneous charge compression ignition control?," Applied Energy, Elsevier, vol. 283(C).

    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:156:y:2015:i:c:p:776-782. 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.