Startseite Transesterification process and biofuel blending actions on performance of compression ignition engine under different loading conditions
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Transesterification process and biofuel blending actions on performance of compression ignition engine under different loading conditions

  • Aruna Mahalingam , Nagabhooshanam Nagarajan , Pragati Gajbhiye , Shivakrishna Dasi , Angel Belle , Divakara Rao , Debabrata Barik , Murali Mohan EMAIL logo und Sathiyamurthy Subbarayan
Veröffentlicht/Copyright: 4. August 2025
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Abstract

As the demand for sustainable energy and environmental protection grows, alternative biofuels like biodiesel derived from Jatropha Curcas show great potential. By utilizing advanced transesterification techniques with a potassium hydroxide (KOH) catalyst and methanol mixture, we can produce biodiesel and blend it with diesel fuel in varying proportions (1–5 %). These blends demonstrate favourable physical and thermal properties that meet ASTM standards, with kinematic viscosity ranging from 2.1 to 2.5 × 10−6 m2/s. An experimental evaluation of biodiesel/diesel blends in compression ignition (CI) engines with direct injection, tested under various load conditions (10–70 %), produces compelling results. Among the tested blends, the 5 % biodiesel mixture shows superior performance, exhibiting optimal in-cylinder pressure (32 bar), brake specific fuel consumption (BSFC) of 0.32 ± 0.02 kg/kWh, brake power (BP) of 5.2 ± 0.17 kW, and brake thermal efficiency (BTE) of 34 %. Additionally, this blend results in lower emissions of carbon monoxide (CO) at 0.40 %, hydrocarbons (HC) at 23 ± 1 ppm, carbon dioxide (CO2) at 5.8 ± 0.18 %, and nitrogen oxides (NOx) at 275 ± 6 ppm when compared to pure fossil diesel. These findings indicate that the recommended biodiesel blend is a viable option for use in CI engines, providing a sustainable and environmentally friendly energy solution for future applications.


Corresponding author: Murali Mohan, Department of Mechanical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, SIMATS, Chennai 602105, Tamil Nadu, India, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The author states no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Received: 2025-06-11
Accepted: 2025-07-16
Published Online: 2025-08-04

© 2025 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 16.11.2025 von https://www.degruyterbrill.com/document/doi/10.1515/ijcre-2025-0104/pdf
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