Optimization of Marine Diesel Engine Performance Using ‎Advanced Stimulation Techniques

  • Authors

    • K. Rajesh Department of Nautical Science, AMET University, Kanathur, Tamil Nadu, India
    • Krishnamurthy Kumar Department of Nautical Science, AMET University, Kanathur, Tamil Nadu, India
    https://doi.org/10.14419/f8zrgt96

    Received date: May 10, 2025

    Accepted date: May 29, 2025

    Published date: July 8, 2025

  • Optimization; Fuel Consumption; Propulsion System; Energy Management
  • Abstract

    Most ships, from small boats to huge oceangoing vessels, are diesel-powered, which are the most efficient engine. Thirty-four member ‎states are regulated by international environmental laws established by different global institutions and organizations, with the goal of ‎curbing greenhouse gas emissions. Optimization techniques are needed to lower marine engines' fuel consumption and exhaust pollutants. ‎Choosing the right combustion control settings is crucial for marine diesel engines because it allows for the simultaneous improvement of ‎efficiency and emissions while maintaining a steady target engine speed. Basing their discussion on their wide-ranging experience with ‎emission control systems, especially plasma aftertreatment systems, the authors offer a distinct view of marine diesel engines and ‎aftertreatment technologies in "New Technologies for Emission Control in Marine Diesel Engines". For oceangoing ships, the feasibility of ‎a load leveling approach and energy management optimization using a hybrid diesel propulsion system is examined. By using less fuel oil ‎and introducing an energy storage medium, diesel hybrid systems aim to lower exhaust gas pollutants.

  • References

    1. Ammar, N. R., & Seddiek, I. S. (2017). Eco-environmental analysis of ship emission control methods: Case study RO-RO cargo vessel. Ocean En-gineering, 137, 166-173. https://doi.org/10.1016/j.oceaneng.2017.03.052.
    2. Gurudiwan, P., & Mire, S. K. (2024). A Review of Pharmaceuticals in Aquatic Environments Risk Assessment and Ecological Impacts. Natural and Engineering Sciences, 9(3), 88-99. https://doi.org/10.28978/nesciences.1606589.
    3. Ng, H. K., Gan, S., Ng, J. H., & Pang, K. M. (2013). Simulation of biodiesel combustion in a light-duty diesel engine using integrated compact bi-odiesel–diesel reaction mechanism. Applied energy, 102, 1275-1287. https://doi.org/10.1016/j.apenergy.2012.06.059.
    4. Fakiha, B. (2024). Investigating the Secrets, New Challenges, and Best Forensic Methods for Securing Critical Infrastructure Networks. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 15(1), 104-114. https://doi.org/10.58346/JOWUA.2024.I1.008.
    5. Puisa, R., Pawling, R., Bliault, C., Pratikakis, G., & Tsichlis, P. (2015). Description of uncertainty in design and operational parameters. Report number: FAROS D, 6.
    6. Jakhir, C., Rudevdagva, R., & Riunaa, L. (2023). Advancements in the novel reconfigurable Yagi antenna. National Journal of Antennas and Prop-agation, 5(1), 33–38. https://doi.org/10.31838/NJAP/05.01.06.
    7. Van, C., Trinh, M. H., & Shimada, T. (2025). Graphene innovations in flexible and wearable nanoelectronics. Progress in Electronics and Commu-nication Engineering, 2(2), 10–20.
    8. Malbašić, V. (2021). The Strategy of Management and Utilization of Mineral Raw Materials in the Republic of Srpska Through the Globalization Era. Archives for Technical Sciences, 2(25), 17–28. https://doi.org/10.7251/afts.2021.1325.017M.
    9. Wang, J., Shen, L., Bi, Y., & Lei, J. (2021). Modeling and optimization of a light-duty diesel engine at high altitude with a support vector machine and a genetic algorithm. Fuel, 285, 119137. https://doi.org/10.1016/j.fuel.2020.119137.
    10. Sun, C. (2023). The Bit Query for Labels in a Binary Tree-Based Anti-Collision Recognition Algorithm. Indian Journal of Information Sources and Services, 13(2), 68–75. https://doi.org/10.51983/ijiss-2023.13.2.3853.
    11. Gnanamoorthi, V., Marudhan, N. M., & Gobalakichenin, D. (2016). Effect of combustion chamber geometry on performance, combustion, and emission of direct injection diesel engine with ethanol-diesel blend. Thermal Science, 20(suppl. 4), 937-946. https://doi.org/10.2298/TSCI161104279E.
    12. Jaichandar, S., & Annamalai, K. (2011). The status of biodiesel as an alternative fuel for diesel engine–an overview. Journal of Sustainable Energy & Environment, 2(2), 71-75.
    13. Shereena, K. M., & Thangaraj, T. (2009). Biodiesel: an alternative fuel produced from vegetable oils by transesterification. Electronic journal of bi-ology, 5(3), 67-74.
    14. Pandiyarajan, V., Pandian, M. C., Malan, E., Velraj, R., & Seeniraj, R. V. (2011). Experimental investigation on heat recovery from diesel engine exhaust using finned shell and tube heat exchanger and thermal storage system. Applied energy, 88(1), 77-87. https://doi.org/10.1016/j.apenergy.2010.07.023.
    15. Zhang, H. G., Wang, E. H., & Fan, B. Y. (2013). A performance analysis of a novel system of a dual loop bottoming organic Rankine cycle (ORC) with a light-duty diesel engine. Applied energy, 102, 1504-1513. https://doi.org/10.1016/j.apenergy.2012.09.018.
    16. Banawan, A. A., El Gohary, M. M., & Sadek, I. S. (2010). Environmental and economical benefits of changing from marine diesel oil to natural-gas fuel for short-voyage high-power passenger ships. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, 224(2), 103-113. https://doi.org/10.1243/14750902JEME181.
    17. Ong, H. C., Masjuki, H. H., Mahlia, T. I., Silitonga, A. S., Chong, W. T., & Yusaf, T. (2014). Engine performance and emissions using Jatropha curcas, Ceiba pentandra and Calophyllum inophyllum biodiesel in a CI diesel engine. Energy, 69, 427-445. https://doi.org/10.1016/j.energy.2014.03.035.
    18. Millo, F., Arya, P., & Mallamo, F. (2018). Optimization of automotive diesel engine calibration using genetic algorithm techniques. Energy, 158, 807-819. https://doi.org/10.1016/j.energy.2018.06.044.
    19. Singh, D. K., Raj, R., & Tirkey, J. V. (2022). Performance and emission analysis of triple fuelled CI engine utilizing producer gas, biodiesel and diesel: An optimization study using response surface methodology. Thermal Science and Engineering Progress, 36, 101486. https://doi.org/10.1016/j.tsep.2022.101486.
    20. Venkatraman, M., & Deveradjane, G. (2010). Experimental investigation of performance and emission characteristics of diesel-pungam oil methyl esters diesel blends fueled DI diesel engine at optimum engine operating parameters. International Journal of Green energy and environment, 1, 7-12. https://doi.org/10.13005/msri/070209.
    21. Choset, K., & Bindal, J. (2025). Using FPGA-based embedded systems for accelerated data processing analysis. SCCTS Journal of Embedded Systems Design and Applications, 2(1), 79–85.
    22. James, A., Elizabeth, C., Henry, W., & Rose, I. (2025). Energy-efficient communication protocols for long-range IoT sensor networks. Journal of Wireless Sensor Networks and IoT, 2(1), 62-68. https://doi.org/10.31838/WSNIOT/01.01.01.
    23. Madhanraj.(2025). Blockchain-Assisted Peer-to-Peer EV Energy Trading in Vehicle-to-Grid Networks.National Journal of Intelligent Power Sys-tems and Technology, 1(1), 48-56.
  • Downloads

  • How to Cite

    Rajesh , K. ., & Kumar, K. . . (2025). Optimization of Marine Diesel Engine Performance Using ‎Advanced Stimulation Techniques. International Journal of Basic and Applied Sciences, 14(SI-1), 174-178. https://doi.org/10.14419/f8zrgt96