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A New Method to Determine the Impact of Individual Field Quantities on Cycle-to-Cycle Variations in a Spark-Ignited Gas Engine

Author

Listed:
  • Clemens Gößnitzer

    (LEC GmbH, Inffeldgasse 19, 8010 Graz, Austria)

  • Shawn Givler

    (INNIO Waukesha Gas Engines Inc., 1101 West St. Paul Avenue, Waukesha, WI 53188, USA)

Abstract

Cycle-to-cycle variations (CCV) in spark-ignited (SI) engines impose performance limitations and in the extreme limit can lead to very strong, potentially damaging cycles. Thus, CCV force sub-optimal engine operating conditions. A deeper understanding of CCV is key to enabling control strategies, improving engine design and reducing the negative impact of CCV on engine operation. This paper presents a new simulation strategy which allows investigation of the impact of individual physical quantities (e.g., flow field or turbulence quantities) on CCV separately. As a first step, multi-cycle unsteady Reynolds-averaged Navier–Stokes (uRANS) computational fluid dynamics (CFD) simulations of a spark-ignited natural gas engine are performed. For each cycle, simulation results just prior to each spark timing are taken. Next, simulation results from different cycles are combined: one quantity, e.g., the flow field, is extracted from a snapshot of one given cycle, and all other quantities are taken from a snapshot from a different cycle. Such a combination yields a new snapshot. With the combined snapshot, the simulation is continued until the end of combustion. The results obtained with combined snapshots show that the velocity field seems to have the highest impact on CCV. Turbulence intensity, quantified by the turbulent kinetic energy and turbulent kinetic energy dissipation rate, has a similar value for all snapshots. Thus, their impact on CCV is small compared to the flow field. This novel methodology is very flexible and allows investigation of the sources of CCV which have been difficult to investigate in the past.

Suggested Citation

  • Clemens Gößnitzer & Shawn Givler, 2021. "A New Method to Determine the Impact of Individual Field Quantities on Cycle-to-Cycle Variations in a Spark-Ignited Gas Engine," Energies, MDPI, vol. 14(14), pages 1-14, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:14:p:4136-:d:591088
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    References listed on IDEAS

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    1. Amin Mahmoudzadeh Andwari & Apostolos Pesyridis & Vahid Esfahanian & Mohd Farid Muhamad Said, 2019. "Combustion and Emission Enhancement of a Spark Ignition Two-Stroke Cycle Engine Utilizing Internal and External Exhaust Gas Recirculation Approach at Low-Load Operation," Energies, MDPI, vol. 12(4), pages 1-16, February.
    2. Andyn Omanovic & Norbert Zsiga & Patrik Soltic & Christopher Onder, 2021. "Increased Internal Combustion Engine Efficiency with Optimized Valve Timings in Extended Stroke Operation," Energies, MDPI, vol. 14(10), pages 1-24, May.
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    4. Mohammed El-Adawy & Morgan R. Heikal & A. Rashid A. Aziz & Ibrahim Khalil Adam & Mhadi A. Ismael & Mohammed E. Babiker & Masri B. Baharom & Firmansyah & Ezrann Zharif Zainal Abidin, 2018. "On the Application of Proper Orthogonal Decomposition (POD) for In-Cylinder Flow Analysis," Energies, MDPI, vol. 11(9), pages 1-22, August.
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    6. 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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    Cited by:

    1. Stefan Posch & Clemens Gößnitzer & Andreas B. Ofner & Gerhard Pirker & Andreas Wimmer, 2022. "Modeling Cycle-to-Cycle Variations of a Spark-Ignited Gas Engine Using Artificial Flow Fields Generated by a Variational Autoencoder," Energies, MDPI, vol. 15(7), pages 1-16, March.
    2. Leonid Plotnikov & Nikita Grigoriev & Leonid Osipov & Vladimir Slednev & Vladislav Shurupov, 2022. "Stationary Gas Dynamics and Heat Transfer of Turbulent Flows in Straight Pipes at Different Turbulence Intensity," Energies, MDPI, vol. 15(19), pages 1-13, October.

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