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Optimization procedure to minimize fuel consumption of a four-stroke marine turbocharged diesel engine

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  • Tadros, M.
  • Ventura, M.
  • Guedes Soares, C.

Abstract

A numerical optimization model is developed to simulate the performance of a large four-stroke marine turbocharged diesel engine along the entire operating range by finding the optimal value of the adjustable parameters: speed of the turbocharger, start angle of injection, intake valve timing and amount of injected fuel. This numerical model assists to find the optimal values of these different parameters together without performing any experimental trials for different engine speeds and loads by minimizing the fuel consumption and by verifying the exhaust emissions limitation. This model couples a nonlinear optimization procedure implemented in Matlab/Simulink and 1D engine simulation software. Firstly, the marine diesel engine model is established and calibrated using data from the manufacturer, and the nonlinear optimization model is constructed using the fitness function, static penalty functions and boundary conditions. The optimizer adopted showed a good computing performance even when running in normal computers. The model is used to calculate the BSFC and to compute the amount of CO2 and NOx emissions for different working conditions. The results are important because in marine diesel engines, the values of the parameters of the turbocharger, injection system and valves timings and thus the amount of BSFC, CO2 and NOx emissions are not provided by the manufacturer along the entire operating range, although these data are required in different marine applications either during the preliminary stage of ship design or to be used in ship routing code. This simulation environment based optimization scheme can be further used to compute the performance of any marine diesel engine and to be a part of a numeric model of the complete propulsion system.

Suggested Citation

  • Tadros, M. & Ventura, M. & Guedes Soares, C., 2019. "Optimization procedure to minimize fuel consumption of a four-stroke marine turbocharged diesel engine," Energy, Elsevier, vol. 168(C), pages 897-908.
    • Handle: RePEc:eee:energy:v:168:y:2019:i:c:p:897-908
    DOI: 10.1016/j.energy.2018.11.146
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    Cited by:

    1. Duro, João A. & Ozturk, Umud Esat & Oara, Daniel C. & Salomon, Shaul & Lygoe, Robert J. & Burke, Richard & Purshouse, Robin C., 2023. "Methods for constrained optimization of expensive mixed-integer multi-objective problems, with application to an internal combustion engine design problem," European Journal of Operational Research, Elsevier, vol. 307(1), pages 421-446.
    2. Trivyza, Nikoletta L. & Rentizelas, Athanasios & Theotokatos, Gerasimos & Boulougouris, Evangelos, 2022. "Decision support methods for sustainable ship energy systems: A state-of-the-art review," Energy, Elsevier, vol. 239(PC).
    3. Karatuğ, Çağlar & Tadros, Mina & Ventura, Manuel & Soares, C. Guedes, 2024. "Decision support system for ship energy efficiency management based on an optimization model," Energy, Elsevier, vol. 292(C).
    4. Sogut, M. Ziya, 2024. "Entropy-based environmental analyses of marine fuel preferences for onboard ships," Energy, Elsevier, vol. 305(C).
    5. 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).
    6. Gharehghani, Ayat & Abbasi, Hamid Reza & Alizadeh, Pouria, 2021. "Application of machine learning tools for constrained multi-objective optimization of an HCCI engine," Energy, Elsevier, vol. 233(C).

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