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Detailed analysis of combustion stability in a spark-assisted compression ignition engine under nearly stoichiometric and heavy EGR conditions

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  • Hunicz, Jacek
  • Mikulski, Maciej
  • Koszałka, Grzegorz
  • Ignaciuk, Piotr

Abstract

Extending the load range of low-temperature combustion is of priority to meet future CO2 and emission targets for reciprocating engine applications. Spark assist is a feasible solution to this challenge for mono-fuel homogeneous charge compression ignition (HCCI). This paper explains how spark-assisted compression ignition (SACI) enables ultra-low NOX targets to be met, with acceptable pressure rise rates and combustion stability, at high load boundary conditions, favourable for HCCI/SACI transition. The work provides new methods of combustion analysis which give better understanding of the mechanisms and their implementation for real-time control of SACI engines. The goals are achieved by a combination of single-cylinder engine research and high-fidelity/high-speed, model-based calculations, performed on an individual cycle basis. The results show that determining the start of the kinetic phase in SACI is possible via standard combustion indicators. The new method is two orders of magnitude faster than the commonly used spline-Wiebe approach. With real-time capability and proven correlation to temperature evolution, triggered by propagating flame, the method enables in-cycle predictive control. Additionally, it gives a deeper insight of the mechanisms underpinning the demonstrated superior performance. The study shows the capability to run SACI at indicated mean effective pressure (IMEP) of 0.5 MPa with engine-out NOX below Euro VI’s heavy-duty engine limit and with specific fuel consumption of 207 g/kWh. Importantly, pressure rise rate and variation in IMEP do not exceed 0.25 MPa/CAD and 3% respectively. Margins for critical parameters are far greater than for baseline autonomous HCCI, providing significant load extension potential.

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  • Hunicz, Jacek & Mikulski, Maciej & Koszałka, Grzegorz & Ignaciuk, Piotr, 2020. "Detailed analysis of combustion stability in a spark-assisted compression ignition engine under nearly stoichiometric and heavy EGR conditions," Applied Energy, Elsevier, vol. 280(C).
  • Handle: RePEc:eee:appene:v:280:y:2020:i:c:s0306261920314100
    DOI: 10.1016/j.apenergy.2020.115955
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    References listed on IDEAS

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    8. Hunicz, Jacek & Mikulski, Maciej & Geca, Michal S. & Rybak, Arkadiusz, 2020. "An applicable approach to mitigate pressure rise rate in an HCCI engine with negative valve overlap," Applied Energy, Elsevier, vol. 257(C).
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    Cited by:

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    2. Zhang, Hao & Lei, Nuo & Liu, Shang & Fan, Qinhao & Wang, Zhi, 2023. "Data-driven predictive energy consumption minimization strategy for connected plug-in hybrid electric vehicles," Energy, Elsevier, vol. 283(C).
    3. Rami Y. Dahham & Haiqiao Wei & Jiaying Pan, 2022. "Improving Thermal Efficiency of Internal Combustion Engines: Recent Progress and Remaining Challenges," Energies, MDPI, vol. 15(17), pages 1-60, August.
    4. Donatas Kriaučiūnas & Tadas Žvirblis & Kristina Kilikevičienė & Artūras Kilikevičius & Jonas Matijošius & Alfredas Rimkus & Darius Vainorius, 2021. "Impact of Simulated Biogas Compositions (CH 4 and CO 2 ) on Vibration, Sound Pressure and Performance of a Spark Ignition Engine," Energies, MDPI, vol. 14(21), pages 1-15, October.
    5. Koszalka, Grzegorz & Hunicz, Jacek, 2021. "Comparative study of energy losses related to the ring pack operation in homogeneous charge compression ignition and spark ignition combustion," Energy, Elsevier, vol. 235(C).
    6. Zhang, Hao & Liu, Shang & Lei, Nuo & Fan, Qinhao & Wang, Zhi, 2022. "Leveraging the benefits of ethanol-fueled advanced combustion and supervisory control optimization in hybrid biofuel-electric vehicles," Applied Energy, Elsevier, vol. 326(C).
    7. Fan, Qinhao & Liu, Shang & Qi, Yunliang & Cai, Kaiyuan & Wang, Zhi, 2021. "Investigation into ethanol effects on combustion and particle number emissions in a spark-ignition to compression-ignition (SICI) engine," Energy, Elsevier, vol. 233(C).

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