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Development of a combined mean value–zero dimensional model and application for a large marine four-stroke Diesel engine simulation

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  • Baldi, Francesco
  • Theotokatos, Gerasimos
  • Andersson, Karin

Abstract

In this article, a combined mean value–zero dimensional model is developed using a modular approach in the computational environment of Matlab/Simulink. According to that, only the closed cycle of one engine cylinder is modelled by following the zero-dimensional approach, whereas the cylinder open cycle as well as the other engine components are modelled according to the mean value concept. The proposed model combines the advantages of the mean value and zero-dimensional models allowing for the calculation of engine performance parameters including the in-cylinder ones in relatively short execution time and therefore, it can be used in cases where the mean value model exceeds its limitations. A large marine four-stroke Diesel engine steady state operation at constant speed was simulated and the results were validated against the engine shop trials data. The model provided results comparable to the respective ones obtained by using a mean value model. Then, a number of simulation runs were performed, so that the mapping of the brake specific fuel consumption for the whole operating envelope was derived. In addition, runs with varying turbocharger turbine geometric area were carried out and the influence of variable turbine geometry on the engine performance was evaluated. Finally, the developed model was used to investigated the propulsion system behaviour of a handymax size product carrier for constant and variable engine speed operation. The results are presented and discussed enlightening the most efficient strategies for the ship operation and quantifying the expected fuel savings.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:154:y:2015:i:c:p:402-415
    DOI: 10.1016/j.apenergy.2015.05.024
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    Cited by:

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    2. Theotokatos, Gerasimos & Guan, Cong & Chen, Hui & Lazakis, Iraklis, 2018. "Development of an extended mean value engine model for predicting the marine two-stroke engine operation at varying settings," Energy, Elsevier, vol. 143(C), pages 533-545.
    3. Tang, Yuanyuan & Zhang, Jundong & Gan, Huibing & Jia, Baozhu & Xia, Yu, 2017. "Development of a real-time two-stroke marine diesel engine model with in-cylinder pressure prediction capability," Applied Energy, Elsevier, vol. 194(C), pages 55-70.
    4. Zhu, Sipeng & Gu, Yuncheng & Yuan, Hao & Ma, Zetai & Deng, Kangyao, 2020. "Thermodynamic analysis of the turbocharged marine two-stroke engine cycle with different scavenging air control technologies," Energy, Elsevier, vol. 191(C).
    5. 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.
    6. 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.
    7. Geertsma, R.D. & Visser, K. & Negenborn, R.R., 2018. "Adaptive pitch control for ships with diesel mechanical and hybrid propulsion," Applied Energy, Elsevier, vol. 228(C), pages 2490-2509.
    8. Geertsma, R.D. & Negenborn, R.R. & Visser, K. & Loonstijn, M.A. & Hopman, J.J., 2017. "Pitch control for ships with diesel mechanical and hybrid propulsion: Modelling, validation and performance quantification," Applied Energy, Elsevier, vol. 206(C), pages 1609-1631.
    9. Bondarenko, Oleksiy & Fukuda, Tetsugo, 2020. "Development of a diesel engine’s digital twin for predicting propulsion system dynamics," Energy, Elsevier, vol. 196(C).
    10. Wang, Yuhua & Wang, Guiyong & Yao, Guozhong & Shen, Qianqiao & Yu, Xuan & He, Shuchao, 2023. "Combining GA-SVM and NSGA-Ⅲ multi-objective optimization to reduce the emission and fuel consumption of high-pressure common-rail diesel engine," Energy, Elsevier, vol. 278(PA).
    11. Ling-Chin, Janie & Roskilly, Anthony P., 2016. "Investigating the implications of a new-build hybrid power system for Roll-on/Roll-off cargo ships from a sustainability perspective – A life cycle assessment case study," Applied Energy, Elsevier, vol. 181(C), pages 416-434.

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