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Optimizing soybean biofuel blends for sustainable urban medium-duty commercial vehicles in India: an AI-driven approach

Rajak, Upendra; Chaurasiya, Prem Kumar; Verma, Tikendra Nath; Dasore, Abhishek; Ağbulut, Ümit; Meshram, Kundan; Saleel, CAhamed; Saboor, Shaik; Cuce, Erdem; Mian, Zhibao

Authors

Upendra Rajak

Prem Kumar Chaurasiya

Tikendra Nath Verma

Abhishek Dasore

Ümit Ağbulut

Kundan Meshram

CAhamed Saleel

Shaik Saboor

Erdem Cuce



Abstract

This article presents the outcomes of a research study focused on optimizing the performance of soybean biofuel blends derived from soybean seeds specifically for urban medium-duty commercial vehicles. The study took into consideration elements such as production capacity, economics and assumed engine characteristics. For the purpose of predicting performance, combustion and emission characteristics, an artificial intelligence approach that has been trained using experimental data is used. At full load, the brake thermal efficiency (BTE) dropped as engine speed increased for biofuel and diesel fuel mixes, but brake-specific fuel consumption (BSFC) increased. The BSFC increased by 11.9% when diesel compared to using biofuel with diesel blends. The mixes cut both maximum cylinder pressure and NOx emissions. The biofuel-diesel fuel proved more successful, with maximum reduction of 9.8% and 22.2 at rpm, respectively. The biofuel and diesel blend significantly improved carbon dioxide (CO2) and smoke emissions. The biofuel blends offer significant advantages by decreeing exhaust pollutants and enhancing engine performance.

Citation

Rajak, U., Chaurasiya, P. K., Verma, T. N., Dasore, A., Ağbulut, Ü., Meshram, K., Saleel, C., Saboor, S., Cuce, E., & Mian, Z. (2024). Optimizing soybean biofuel blends for sustainable urban medium-duty commercial vehicles in India: an AI-driven approach. Environmental science and pollution research, https://doi.org/10.1007/s11356-024-33210-3

Journal Article Type Article
Acceptance Date Apr 2, 2024
Online Publication Date Apr 23, 2024
Publication Date Apr 23, 2024
Deposit Date Apr 23, 2024
Publicly Available Date Apr 24, 2024
Journal Environmental Science and Pollution Research
Print ISSN 0944-1344
Electronic ISSN 1614-7499
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1007/s11356-024-33210-3
Keywords Artificial intelligence; Diesel engine; Pollutant formation; Soybean biofuel
Public URL https://hull-repository.worktribe.com/output/4629281

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Copyright Statement
© The Author(s) 2024.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.




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