IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v227y2018icp665-671.html
   My bibliography  Save this article

Combustion modeling in RCCI engines with a hybrid characteristic time combustion and closed reactor model

Author

Listed:
  • Zhou, Dezhi
  • Yang, Wenming
  • Li, Jing
  • Tay, Kun Lin
  • Kraft, Markus

Abstract

This study proposed a hybrid model consisting of a characteristic time combustion (CTC) model and a closed reactor model for the combustion modelling with detailed chemistry in RCCI engines. In the light of the basic idea of the CTC model of achieving chemical equilibrium in high temperature, this hybrid model uses the CTC model to solve the species conversion and heat release in the diffusion flame. Except for the diffusion flame, the auto-ignition in RCCI combustion is computed by a closed reactor model with the CHEMKIN library by assuming that the computational cells are closed reactors. The border of the transition between the CTC model and closed reactor model is determined by two criteria, a critical temperature and a critical Damköhler number. On the formulation of this hybrid model, emphasis is placed on coupling detailed chemistry into this hybrid model. A CEQ solver for species equilibrium calculations at certain temperature, pressure was embedded with CTC for detailed chemistry calculation. Then this combustion model was integrated with the CFD framework KIVA4 and the chemical library CHEMKIN-II and validated in a RCCI engine. The predicted in-cylinder pressure and heat release rate (HRR) show a good consistency with the data from the experiment and better accuracy than that computed from the sole closed reactor model. More importantly, it is observed that this model could save computational time compared with closed reactor model due to less stiff ordinary differential equations (ODEs) computation. A sensitivity analysis of the critical temperature and critical Damköhler number was conducted to demonstrate the effect of these two parameters in the current model.

Suggested Citation

  • Zhou, Dezhi & Yang, Wenming & Li, Jing & Tay, Kun Lin & Kraft, Markus, 2018. "Combustion modeling in RCCI engines with a hybrid characteristic time combustion and closed reactor model," Applied Energy, Elsevier, vol. 227(C), pages 665-671.
  • Handle: RePEc:eee:appene:v:227:y:2018:i:c:p:665-671
    DOI: 10.1016/j.apenergy.2017.08.137
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261917311534
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2017.08.137?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. Li, Yaopeng & Jia, Ming & Chang, Yachao & Liu, Yaodong & Xie, Maozhao & Wang, Tianyou & Zhou, Lei, 2014. "Parametric study and optimization of a RCCI (reactivity controlled compression ignition) engine fueled with methanol and diesel," Energy, Elsevier, vol. 65(C), pages 319-332.
    2. Zhou, D.Z. & Yang, W.M. & An, H. & Li, J., 2015. "Application of CFD-chemical kinetics approach in detecting RCCI engine knocking fuelled with biodiesel/methanol," Applied Energy, Elsevier, vol. 145(C), pages 255-264.
    Full references (including those not matched with items on IDEAS)

    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. Pachiannan, Tamilselvan & Zhong, Wenjun & Rajkumar, Sundararajan & He, Zhixia & Leng, Xianying & Wang, Qian, 2019. "A literature review of fuel effects on performance and emission characteristics of low-temperature combustion strategies," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    2. Liu, Junheng & Wu, Pengcheng & Ji, Qian & Sun, Ping & Wang, Pan & Meng, Zhongwei & Ma, Hongjie, 2022. "Experimental study on effects of pilot injection strategy on combustion and emission characteristics of diesel/methanol dual-fuel engine under low load," Energy, Elsevier, vol. 247(C).
    3. Li, Jing & Yang, Wenming & Zhou, Dezhi, 2017. "Review on the management of RCCI engines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 65-79.
    4. 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.
    5. Yu, Wenbin & Yang, Wenming & Mohan, Balaji & Tay, Kun Lin & Zhao, Feiyang, 2017. "Macroscopic spray characteristics of wide distillation fuel (WDF)," Applied Energy, Elsevier, vol. 185(P2), pages 1372-1382.
    6. Wang, Yifeng & Yao, Mingfa & Li, Tie & Zhang, Weijing & Zheng, Zunqing, 2016. "A parametric study for enabling reactivity controlled compression ignition (RCCI) operation in diesel engines at various engine loads," Applied Energy, Elsevier, vol. 175(C), pages 389-402.
    7. 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).
    8. Zhong, Yingzi & Han, Weiqiang & Jin, Chao & Tian, Xiaocong & Liu, Haifeng, 2022. "Study on effects of the hydroxyl group position and carbon chain length on combustion and emission characteristics of Reactivity Controlled Compression Ignition (RCCI) engine fueled with low-carbon st," Energy, Elsevier, vol. 239(PC).
    9. Han, Dong & Wang, Chunhai & Duan, Yaozong & Tian, Zhisong & Huang, Zhen, 2014. "An experimental study of injection and spray characteristics of diesel and gasoline blends on a common rail injection system," Energy, Elsevier, vol. 75(C), pages 513-519.
    10. Costa, M. & Di Blasio, G. & Prati, M.V. & Costagliola, M.A. & Cirillo, D. & La Villetta, M. & Caputo, C. & Martoriello, G., 2020. "Multi-objective optimization of a syngas powered reciprocating engine equipping a combined heat and power unit," Applied Energy, Elsevier, vol. 275(C).
    11. Shi, Hao & Uddeen, Kalim & An, Yanzhao & Pei, Yiqiang & Johansson, Bengt, 2021. "Multiple spark plugs coupled with pressure sensors: A new approach for knock mechanism study on SI engines," Energy, Elsevier, vol. 227(C).
    12. Liu, Haifeng & Ma, Guixiang & Hu, Bin & Zheng, Zunqing & Yao, Mingfa, 2018. "Effects of port injection of hydrous ethanol on combustion and emission characteristics in dual-fuel reactivity controlled compression ignition (RCCI) mode," Energy, Elsevier, vol. 145(C), pages 592-602.
    13. Gharehghani, Ayatallah & Hosseini, Reza & Mirsalim, Mostafa & Jazayeri, S. Ali & Yusaf, Talal, 2015. "An experimental study on reactivity controlled compression ignition engine fueled with biodiesel/natural gas," Energy, Elsevier, vol. 89(C), pages 558-567.
    14. Wei, Lijiang & Yao, Chunde & Han, Guopeng & Pan, Wang, 2016. "Effects of methanol to diesel ratio and diesel injection timing on combustion, performance and emissions of a methanol port premixed diesel engine," Energy, Elsevier, vol. 95(C), pages 223-232.
    15. Ma, Baodong & Yao, Anren & Yao, Chunde & Chen, Chao & Qu, Guofan & Wang, Wenchao & Ai, Youkai, 2021. "Multiple combustion modes existing in the engine operating in diesel methanol dual fuel," Energy, Elsevier, vol. 234(C).
    16. Neshat, Elaheh & Saray, Rahim Khoshbakhti, 2014. "Development of a new multi zone model for prediction of HCCI (homogenous charge compression ignition) engine combustion, performance and emission characteristics," Energy, Elsevier, vol. 73(C), pages 325-339.
    17. Thomas, Justin Jacob & Sabu, V.R. & Nagarajan, G. & Kumar, Suraj & Basrin, G., 2020. "Influence of waste vegetable oil biodiesel and hexanol on a reactivity controlled compression ignition engine combustion and emissions," Energy, Elsevier, vol. 206(C).
    18. Wang, Yang & Wei, Lixia & Yao, Mingfa, 2016. "A theoretical investigation of the effects of the low-temperature reforming products on the combustion of n-heptane in an HCCI engine and a constant volume vessel," Applied Energy, Elsevier, vol. 181(C), pages 132-139.
    19. Zou, Run & Li, Yuan & Liu, Jinxiang & Wang, Nana & Zeng, Qinghan & Li, Jiong, 2023. "Numerical study on the effects of spark strategies on knocking combustion in a downsized gasoline rotary engine," Energy, Elsevier, vol. 263(PD).
    20. Chen, Zaiwang & Cai, Yikang & Xu, Guangfu & Duan, Huiquan & Jia, Ming, 2022. "Exploring the potential of water injection (WI) in a high-load diesel engine under different fuel injection strategies," Energy, Elsevier, vol. 243(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:227:y:2018:i:c:p:665-671. 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.