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A Zero-Dimensional Mixing Controlled Combustion Model for Real Time Performance Simulation of Marine Two-Stroke Diesel Engines

Author

Listed:
  • Yongming Feng

    (College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China)

  • Haiyan Wang

    (Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China)

  • Ruifeng Gao

    (College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China)

  • Yuanqing Zhu

    (College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China)

Abstract

The paper presents a performance prediction model of marine low-speed two-stroke diesel engines based on an advanced MCC (mixture controlled combustion) model coupled with a fuel injection model. Considering the time of real calculation, the so-called “concentrated exhausting gas” scavenging model and the working process model are used in the present work, and improved by introducing the ratio of pure combustion product over the total gas mass in the cylinder as an expression of the working medium components. The reaction rate model in the zero-dimensional MCC model is improved by introducing the fraction of combustion product in the fuel spray, and the relationship between the combustion model and scavenging quality is established. Meanwhile, the combustion model was simplified in the diffusion combustion phases and integrated with the fuel injection model in order to respond to the change of injection profile and injection timing. A large-scale low-speed marine diesel engine was used for a simulation. The results of the whole model are consistent with experimental data and the speed of calculation is fast enough for real time simulation of low speed and medium speed diesel engines. The prediction model can be used in the design and calibration of the electronic control system and performance optimization of the marine two-stroke diesel engine.

Suggested Citation

  • Yongming Feng & Haiyan Wang & Ruifeng Gao & Yuanqing Zhu, 2019. "A Zero-Dimensional Mixing Controlled Combustion Model for Real Time Performance Simulation of Marine Two-Stroke Diesel Engines," Energies, MDPI, vol. 12(10), pages 1-19, May.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:10:p:2000-:d:234205
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    References listed on IDEAS

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    1. Dowell, P.G. & Akehurst, S. & Burke, R.D., 2017. "A real-time capable mixing controlled combustion model for highly diluted conditions," Energy, Elsevier, vol. 133(C), pages 1035-1049.
    2. Maroteaux, Fadila & Saad, Charbel, 2013. "Diesel engine combustion modeling for hardware in the loop applications: Effects of ignition delay time model," Energy, Elsevier, vol. 57(C), pages 641-652.
    3. La Xiang & Enzhe Song & Yu Ding, 2018. "A Two-Zone Combustion Model for Knocking Prediction of Marine Natural Gas SI Engines," Energies, MDPI, vol. 11(3), pages 1-23, March.
    4. Gogoi, T.K. & Baruah, D.C., 2010. "A cycle simulation model for predicting the performance of a diesel engine fuelled by diesel and biodiesel blends," Energy, Elsevier, vol. 35(3), pages 1317-1323.
    5. Kumar, Suneel & Kumar Chauhan, Manish & Varun,, 2013. "Numerical modeling of compression ignition engine: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 517-530.
    6. Molina, S. & Guardiola, C. & Martín, J. & García-Sarmiento, D., 2014. "Development of a control-oriented model to optimise fuel consumption and NOX emissions in a DI Diesel engine," Applied Energy, Elsevier, vol. 119(C), pages 405-416.
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    Cited by:

    1. Antonio Lecuona & José I. Nogueira & Antonio Famiglietti, 2021. "Open Dual Cycle with Composition Change and Limited Pressure for Prediction of Miller Engines Performance and Its Turbine Temperature," Energies, MDPI, vol. 14(10), pages 1-25, May.
    2. Song, Jeongwoo & Song, Han Ho, 2022. "Spark-ignition engine speed profile optimization for maximizing the net indicated efficiency and quantitative analysis of the optimal speed profile," Applied Energy, Elsevier, vol. 307(C).

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