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Exploring the stochastic and deterministic aspects of cyclic emission variability on a high speed spark-ignition engine

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  • Karvountzis-Kontakiotis, A.
  • Dimaratos, A.
  • Ntziachristos, L.
  • Samaras, Z.

Abstract

This study contributes to the understanding of cycle-to-cycle emissions variability (CEV) in premixed spark-ignition combustion engines. A number of experimental investigations of cycle-to-cycle combustion variability (CCV) exist in published literature; however only a handful of studies deal with CEV. This study experimentally investigates the impact of CCV on CEV of NO and CO, utilizing experimental results from a high-speed spark-ignition engine. Both CEV and CCV are shown to comprise a deterministic and a stochastic component. Results show that at maximum break torque (MBT) operation, the indicated mean effective pressure (IMEP) maximizes and its coefficient of variation (COVIMEP) minimizes, leading to minimum variation of NO. NO variability and hence mean NO levels can be reduced by more than 50% and 30%, respectively, at advanced ignition timing, by controlling the deterministic CCV using cycle resolved combustion control. The deterministic component of CEV increases at lean combustion (lambda = 1.12) and this overall increases NO variability. CEV was also found to decrease with engine load. At steady speed, increasing throttle position from 20% to 80%, decreased COVIMEP, COVNO and COVCO by 59%, 46%, and 6% respectively. Highly resolved engine control, by means of cycle-to-cycle combustion control, appears as key to limit the deterministic feature of cyclic variability and by that to overall reduce emission levels.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:118:y:2017:i:c:p:68-76
    DOI: 10.1016/j.energy.2016.12.026
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. He, Fengshuo & Li, Shuo & Yu, Xiumin & Du, Yaodong & Zuo, Xiongyinan & Dong, Wei & Sun, Ping & He, Ling, 2018. "Comparison study and synthetic evaluation of combined injection in a spark ignition engine with hydrogen-blended at lean burn condition," Energy, Elsevier, vol. 157(C), pages 1053-1062.
    2. Rakopoulos, Constantine D. & Rakopoulos, Dimitrios C. & Kosmadakis, George M. & Zannis, Theodoros C. & Kyritsis, Dimitrios C., 2023. "Studying the cyclic variability (CCV) of performance and NO and CO emissions in a methane-run high-speed SI engine via quasi-dimensional turbulent combustion modeling and two CCV influencing mechanism," Energy, Elsevier, vol. 272(C).
    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. George M. Kosmadakis & Constantine D. Rakopoulos, 2019. "A Fast CFD-Based Methodology for Determining the Cyclic Variability and Its Effects on Performance and Emissions of Spark-Ignition Engines," Energies, MDPI, vol. 12(21), pages 1-15, October.

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