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

Rajak U 1 , Chaurasiya PK 2 , Verma TN 3 , Dasore A 4 , Ağbulut Ü 5 , Meshram K 6 Show all authors , Saleel C 7 , Saboor S 8 , Cuce E 9 , Mian Z 10

Affiliations 

  • 1 Department of Mechanical Engineering, RGM College of Engineering and Technology, Nandyal, 518501, India
  • 2 Department of Mechanical Engineering, National Institute of Technology, Raipur, 492010, India
  • 3 Department of Mechanical Engineering, Maulana Azad National Institute of Technology, Vellore, 462003, India
  • 4 Department of Biological and Agricultural Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia
  • 5 Department of Mechanical Engineering, Faculty of Mechanical Engineering, Yildiz Technical University, 34349, Istanbul, Turkey
  • 6 Department of Civil Engineering, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
  • 7 Department of Mechanical Engineering, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia
  • 8 School of Mechanical Engineering, Vellore Institute of Technology Vellore, 632014, Vellore, Tamil Nadu, India
  • 9 Department of Mechanical Engineering, Faculty of Engineering and Architecture, Recep Tayyip Erdogan University, Zihni Derin Campus, 53100, Rize, Turkey. erdem.cuce@erdogan.edu.tr
  • 10 Faculty of Science and Engineering, School of Computer Science, University of Hull, Cottingham Road, Hull, HU6 7RX, UK
Environ Sci Pollut Res Int, 2024 Apr 23.
PMID: 38652187 DOI: 10.1007/s11356-024-33210-3

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 NO x 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 ( CO 2 ) and smoke emissions. The biofuel blends offer significant advantages by decreeing exhaust pollutants and enhancing engine performance.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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