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Desirability-based optimization of dual-fuel diesel engine using acetylene as an alternative fuel

Abstrakt

he study examined the dual-fuel engine performance employing acetylene gas as primary fuel and diesel as pilot fuel. The engine's operational parameters were adjusted using the Box-Behnken design, and the results were recorded. The best operating settings were yielded as 81.25 % engine load, 4.48 lpm acetylene gas flow rate and the compression ratio were 18. At this optimized setting the BTE was 27.1 % and the engine emitted 360 ppm of NOx, 56.2 ppm of HC, 104 ppm of CO. The experimental data at optimized setting was compared to the optimized results, and the percentage of errors was within 7 %. Two advanced machine learning methods, LightGBM and Tweedie, were used to predict engine efficiency and emissions. Tweedie-based models had an R2 value of 0.89–1, while LightGBM-based models had an R2 value of 0.38–1. The mean squared error was 0.24–45.04 for Tweedie-based models and 8.5 to 153.89 for LightGBM-based models. On the basis of R2 and MSE, it was observed that Tweedie was superior at making predictions than LightGBM. The study demonstrated the efficient functioning of a dual-fuel engine using acetylene as an alternative fuel for increased performance and lower emissions.

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Autorzy (11)

  • Zdjęcie użytkownika  Van Giao Nguyen

    Van Giao Nguyen

    • Institute of Engineering, HUTECH University, Ho Chi Minh City, Viet Nam
  • Zdjęcie użytkownika  Dager Brijesh

    Dager Brijesh

    • Department of Mechanical Engineering, Delhi Skill and Entrepreneurship University, Delhi, 110089, India
  • Zdjęcie użytkownika  Ajay Chhillar

    Ajay Chhillar

    • Department of Mechanical Engineering, Delhi Skill and Entrepreneurship University, Delhi, 110089, India
  • Zdjęcie użytkownika  Sharma Prabhakar

    Sharma Prabhakar

    • Department of Mechanical Engineering, Delhi Skill and Entrepreneurship University, Delhi, 110089, India
  • Zdjęcie użytkownika  M. Sameh Osman

    M. Sameh Osman

    • Chemistry Department, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia
  • Zdjęcie użytkownika  Duc. T. Nguyen

    Duc. T. Nguyen

    • Faculty of Automotive Engineering, Dong A University, Danang, Viet Nam
  • Zdjęcie użytkownika  Hai Thanh Truong

    Hai Thanh Truong

    • PATET Research Group, Ho Chi Minh City University of Transport, Ho Chi Minh City, Viet Nam
  • Zdjęcie użytkownika  Prem Shanker Yadav

    Prem Shanker Yadav

    • Department of Mechanical Engineering, JSS Academy of Technical Education, Noida, India
  • Zdjęcie użytkownika  Dao Nam Cao

    Dao Nam Cao

    • PATET Research Group, Ho Chi Minh City University of Transport, Ho Chi Minh City, Viet Nam
  • Zdjęcie użytkownika  Viet Dung Tran

    Viet Dung Tran

    • PATET Research Group, Ho Chi Minh City University of Transport, Ho Chi Minh City, Viet Nam

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Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
Case Studies in Thermal Engineering nr 59,
ISSN: 2214-157X
Język:
angielski
Rok wydania:
2024
Opis bibliograficzny:
Nguyen V. G., Brijesh D., Chhillar A., Prabhakar S., Osman M. S., Nguyen D. T., Kowalski J., Truong H. T., Yadav P. S., Cao D. N., Tran V. D.: Desirability-based optimization of dual-fuel diesel engine using acetylene as an alternative fuel// Case Studies in Thermal Engineering -, (2024), s.104488-
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1016/j.csite.2024.104488
Źródła finansowania:
  • Działalność statutowa/subwencja
Weryfikacja:
Politechnika Gdańska

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