IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i10p2000-d234205.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/10/2000/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/10/2000/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Di Battista, D. & Cipollone, R., 2016. "Experimental and numerical assessment of methods to reduce warm up time of engine lubricant oil," Applied Energy, Elsevier, vol. 162(C), pages 570-580.
    2. Baldi, Francesco & Theotokatos, Gerasimos & Andersson, Karin, 2015. "Development of a combined mean value–zero dimensional model and application for a large marine four-stroke Diesel engine simulation," Applied Energy, Elsevier, vol. 154(C), pages 402-415.
    3. Jemni, Mohamed Ali & Kantchev, Gueorgui & Abid, Mohamed Salah, 2011. "Influence of intake manifold design on in-cylinder flow and engine performances in a bus diesel engine converted to LPG gas fuelled, using CFD analyses and experimental investigations," Energy, Elsevier, vol. 36(5), pages 2701-2715.
    4. Van Chien Pham & Jae-Hyuk Choi & Beom-Seok Rho & Jun-Soo Kim & Kyunam Park & Sang-Kyun Park & Van Vang Le & Won-Ju Lee, 2021. "A Numerical Study on the Combustion Process and Emission Characteristics of a Natural Gas-Diesel Dual-Fuel Marine Engine at Full Load," Energies, MDPI, vol. 14(5), pages 1-28, March.
    5. Macián, V. & Serrano, J.R. & Piqueras, P. & Sanchis, E.J., 2019. "Internal pore diffusion and adsorption impact on the soot oxidation in wall-flow particulate filters," Energy, Elsevier, vol. 179(C), pages 407-421.
    6. Singh, Paramvir & Varun, & Chauhan, S.R., 2016. "Carbonyl and aromatic hydrocarbon emissions from diesel engine exhaust using different feedstock: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 269-291.
    7. Gu, Jie & Wang, Yingyuan & Hu, Jiancun & Zhang, Kun & Shi, Lei & Deng, Kangyao, 2024. "Real-time prediction of fuel consumption and emissions based on deep autoencoding support vector regression for cylinder pressure-based feedback control of marine diesel engines," Energy, Elsevier, vol. 300(C).
    8. Zhaojie Shen & Wenzheng Cui & Xiaodong Ju & Zhongchang Liu & Shaohua Wu & Jianguo Yang, 2018. "Numerical Investigation on Effects of Assigned EGR Stratification on a Heavy Duty Diesel Engine with Two-Stage Fuel Injection," Energies, MDPI, vol. 11(3), pages 1-14, February.
    9. Du, Wei & Li, Yanjun & Shi, Jianxin & Sun, Baozhi & Wang, Chunhui & Zhu, Baitong, 2023. "Applying an improved particle swarm optimization algorithm to ship energy saving," Energy, Elsevier, vol. 263(PE).
    10. Goel, Varun & Kumar, Naresh & Singh, Paramvir, 2018. "Impact of modified parameters on diesel engine characteristics using biodiesel: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2716-2729.
    11. Giglio, Veniero & di Gaeta, Alessandro, 2020. "Novel regression models for wiebe parameters aimed at 0D combustion simulation in spark ignition engines," Energy, Elsevier, vol. 210(C).
    12. Bermúdez, Vicente & Serrano, José Ramón & Piqueras, Pedro & Campos, Daniel, 2015. "Analysis of the influence of pre-DPF water injection technique on pollutants emission," Energy, Elsevier, vol. 89(C), pages 778-792.
    13. Hu, Jibin & Wu, Wei & Yuan, Shihua & Jing, Chongbo, 2011. "Mathematical modelling of a hydraulic free-piston engine considering hydraulic valve dynamics," Energy, Elsevier, vol. 36(10), pages 6234-6242.
    14. Zhang, Qiang & Ogren, Ryan M. & Kong, Song-Charng, 2016. "A comparative study of biodiesel engine performance optimization using enhanced hybrid PSO–GA and basic GA," Applied Energy, Elsevier, vol. 165(C), pages 676-684.
    15. Abedin, M.J. & Masjuki, H.H. & Kalam, M.A. & Sanjid, A. & Rahman, S.M. Ashrafur & Masum, B.M., 2013. "Energy balance of internal combustion engines using alternative fuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 20-33.
    16. Tauzia, Xavier & Maiboom, Alain & Karaky, Hassan, 2017. "Semi-physical models to assess the influence of CI engine calibration parameters on NOx and soot emissions," Applied Energy, Elsevier, vol. 208(C), pages 1505-1518.
    17. Diego Perrone & Angelo Algieri & Pietropaolo Morrone & Teresa Castiglione, 2021. "Energy and Economic Investigation of a Biodiesel-Fired Engine for Micro-Scale Cogeneration," Energies, MDPI, vol. 14(2), pages 1-28, January.
    18. Tan, Pi-qiang & Hu, Zhi-yuan & Lou, Di-ming & Li, Zhi-jun, 2012. "Exhaust emissions from a light-duty diesel engine with Jatropha biodiesel fuel," Energy, Elsevier, vol. 39(1), pages 356-362.
    19. Loganathan, S. & Leenus Jesu Martin, M. & Nagalingam, B. & Prabhu, L., 2018. "Heat release rate and performance simulation of DME fuelled diesel engine using oxygenate correction factor and load correction factor in double Wiebe function," Energy, Elsevier, vol. 150(C), pages 77-91.
    20. Gonca, Guven & Sahin, Bahri & Ust, Yasin, 2013. "Performance maps for an air-standard irreversible Dual–Miller cycle (DMC) with late inlet valve closing (LIVC) version," Energy, Elsevier, vol. 54(C), pages 285-290.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:10:p:2000-:d:234205. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.