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Abstract
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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Authors (11)
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Van Giao Nguyen
- Institute of Engineering, HUTECH University, Ho Chi Minh City, Viet Nam
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Dager Brijesh
- Department of Mechanical Engineering, Delhi Skill and Entrepreneurship University, Delhi, 110089, India
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Ajay Chhillar
- Department of Mechanical Engineering, Delhi Skill and Entrepreneurship University, Delhi, 110089, India
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Sharma Prabhakar
- Department of Mechanical Engineering, Delhi Skill and Entrepreneurship University, Delhi, 110089, India
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M. Sameh Osman
- Chemistry Department, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia
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Duc. T. Nguyen
- Faculty of Automotive Engineering, Dong A University, Danang, Viet Nam
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Hai Thanh Truong
- PATET Research Group, Ho Chi Minh City University of Transport, Ho Chi Minh City, Viet Nam
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Prem Shanker Yadav
- Department of Mechanical Engineering, JSS Academy of Technical Education, Noida, India
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Dao Nam Cao
- PATET Research Group, Ho Chi Minh City University of Transport, Ho Chi Minh City, Viet Nam
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Viet Dung Tran
- PATET Research Group, Ho Chi Minh City University of Transport, Ho Chi Minh City, Viet Nam
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.csite.2024.104488
- License
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Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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Case Studies in Thermal Engineering
no. 59,
ISSN: 2214-157X - Language:
- English
- Publication year:
- 2024
- Bibliographic description:
- 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:
- Digital Object Identifier (open in new tab) 10.1016/j.csite.2024.104488
- Sources of funding:
-
- Statutory activity/subsidy
- Verified by:
- Gdańsk University of Technology
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