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Improvement of NO and CO predictions for a homogeneous combustion SI engine using a novel emissions model

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  • Karvountzis-Kontakiotis, Apostolos
  • Ntziachristos, Leonidas

Abstract

This study proposes a novel emissions model for the prediction of spark ignition (SI) engine emissions at homogeneous combustion conditions, using post combustion analysis and a detailed chemistry mechanism. The novel emissions model considers an unburned and a burned zone, where the latter is considered as a homogeneous reactor and is modeled using a detailed chemical kinetics mechanism. This allows detailed emission predictions at high speed practically based only on combustion pressure and temperature profiles, without the need for calibration of the model parameters. The predictability of the emissions model is compared against the extended Zeldovich mechanism for NO and a simplified two-step reaction kinetic model for CO, which both constitute the most widespread existing approaches in the literature. Under various engine load and speed conditions examined, the mean error in NO prediction was 28% for the existing models and less than 1.3% for the new model proposed. The novel emissions model was also used to predict emissions variation due to cyclic combustion variability and demonstrated mean prediction error of 6% and 3.6% for NO and CO respectively, compared to 36% (NO) and 67% (CO) for the simplified model. The results show that the emissions model proposed offers substantial improvements in the prediction of the results without significant increase in calculation time.

Suggested Citation

  • Karvountzis-Kontakiotis, Apostolos & Ntziachristos, Leonidas, 2016. "Improvement of NO and CO predictions for a homogeneous combustion SI engine using a novel emissions model," Applied Energy, Elsevier, vol. 162(C), pages 172-182.
  • Handle: RePEc:eee:appene:v:162:y:2016:i:c:p:172-182
    DOI: 10.1016/j.apenergy.2015.10.088
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    References listed on IDEAS

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    1. Bougrine, S. & Richard, S. & Michel, J.-B. & Veynante, D., 2014. "Simulation of CO and NO emissions in a SI engine using a 0D coherent flame model coupled with a tabulated chemistry approach," Applied Energy, Elsevier, vol. 113(C), pages 1199-1215.
    2. Ortiz-Soto, Elliott A. & Lavoie, George A. & Martz, Jason B. & Wooldridge, Margaret S. & Assanis, Dennis N., 2014. "Enhanced heat release analysis for advanced multi-mode combustion engine experiments," Applied Energy, Elsevier, vol. 136(C), pages 465-479.
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    Cited by:

    1. Novella, Ricardo & García, Antonio & Gomez-Soriano, Josep & Fogué-Robles, Álvaro, 2023. "Exploring dilution potential for full load operation of medium duty hydrogen engine for the transport sector," Applied Energy, Elsevier, vol. 349(C).
    2. Karvountzis-Kontakiotis, A. & Dimaratos, A. & Ntziachristos, L. & Samaras, Z., 2017. "Exploring the stochastic and deterministic aspects of cyclic emission variability on a high speed spark-ignition engine," Energy, Elsevier, vol. 118(C), pages 68-76.
    3. Karvountzis-Kontakiotis, Apostolos & Vafamehr, Hassan & Cairns, Alasdair & Peckham, Mark, 2018. "Study on pollutants formation under knocking combustion conditions using an optical single cylinder SI research engine," Energy, Elsevier, vol. 158(C), pages 899-910.
    4. Feng, Hongqing & Liu, Daojian & Yang, Xiaoxi & An, Ming & Zhang, Weiwen & Zhang, Xiaodong, 2016. "Availability analysis of using iso-octane/n-butanol blends in spark-ignition engines," Renewable Energy, Elsevier, vol. 96(PA), pages 281-294.

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