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Analysis of Two Stroke Marine Diesel Engine Operation Including Turbocharger Cut-Out by Using a Zero-Dimensional Model

Author

Listed:
  • Cong Guan

    (Key Laboratory of High Performance Ship Technology of Ministry of Education, School of Energy and Power Engineering, Wuhan University of Technology, 1178 Heping Road, Wuhan 430063, China
    These authors contributed equally to this work.)

  • Gerasimos Theotokatos

    (Department of Naval Architecture, Ocean & Marine Engineering, University of Strathclyde, 100 Montrose Street, Glasgow G4 0LZ, UK
    These authors contributed equally to this work.)

  • Hui Chen

    (Key Laboratory of High Performance Ship Technology of Ministry of Education, School of Energy and Power Engineering, Wuhan University of Technology, 1178 Heping Road, Wuhan 430063, China)

Abstract

In this article, the operation of a large two-stroke marine diesel engine including various cases with turbocharger cut-out was thoroughly investigated by using a modular zero-dimensional engine model built in MATLAB/Simulink environment. The model was developed by using as a basis an in-house modular mean value engine model, in which the existing cylinder block was replaced by a more detailed one that is capable of representing the scavenging ports-cylinder-exhaust valve processes. Simulation of the engine operation at steady state conditions was performed and the derived engine performance parameters were compared with the respective values obtained by the engine shop trials. The investigation of engine operation under turbocharger cut-out conditions in the region from 10% to 50% load was carried out and the influence of turbocharger cut-out on engine performance including the in-cylinder parameters was comprehensively studied. The recommended schedule for the combination of the turbocharger cut-out and blower activation was discussed for the engine operation under part load conditions. Finally, the influence of engine operating strategies on the annual fuel savings, CO 2 emissions reduction and blower operating hours for a Panamax container ship operating at slow steaming conditions is presented and discussed.

Suggested Citation

  • Cong Guan & Gerasimos Theotokatos & Hui Chen, 2015. "Analysis of Two Stroke Marine Diesel Engine Operation Including Turbocharger Cut-Out by Using a Zero-Dimensional Model," Energies, MDPI, vol. 8(6), pages 1-27, June.
  • Handle: RePEc:gam:jeners:v:8:y:2015:i:6:p:5738-5764:d:51204
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    References listed on IDEAS

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    1. Zhang, Chuanguo & Chen, Xiaoqing, 2014. "The impact of global oil price shocks on China’s bulk commodity markets and fundamental industries," Energy Policy, Elsevier, vol. 66(C), pages 32-41.
    2. Mirko Grljušić & Vladimir Medica & Nikola Račić, 2014. "Thermodynamic Analysis of a Ship Power Plant Operating with Waste Heat Recovery through Combined Heat and Power Production," Energies, MDPI, vol. 7(11), pages 1-27, November.
    3. Zhang, Yue-Jun & Wang, Zi-Yi, 2013. "Investigating the price discovery and risk transfer functions in the crude oil and gasoline futures markets: Some empirical evidence," Applied Energy, Elsevier, vol. 104(C), pages 220-228.
    4. Guan, Cong & Theotokatos, Gerasimos & Zhou, Peilin & Chen, Hui, 2014. "Computational investigation of a large containership propulsion engine operation at slow steaming conditions," Applied Energy, Elsevier, vol. 130(C), pages 370-383.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. 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.
    2. Mirko Grljušić & Ivan Tolj & Gojmir Radica, 2017. "An Investigation of the Composition of the Flow in and out of a Two-Stroke Diesel Engine and Air Consumption Ratio," Energies, MDPI, vol. 10(6), pages 1-20, June.
    3. Nour Eddine, A. & Chalet, D. & Faure, X. & Aixala, L. & Chessé, P., 2018. "Optimization and characterization of a thermoelectric generator prototype for marine engine application," Energy, Elsevier, vol. 143(C), pages 682-695.
    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. Mrzljak, Vedran & Medica, Vladimir & Bukovac, Ozren, 2016. "Volume agglomeration process in quasi-dimensional direct injection diesel engine numerical model," Energy, Elsevier, vol. 115(P1), pages 658-667.
    6. Branko Lalić & Andrijana Poljak & Gojmir Radica & Antonija Mišura, 2021. "Low-Speed Marine Diesel Engine Modeling for NO x Prediction in Exhaust Gases," Energies, MDPI, vol. 14(15), pages 1-29, July.

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