Biodiesel Characterization and Prediction Using ANN Modeling along with the Assessment of Performance and Emission Behavior of Fuel Sources— Gossypium hirsutum and Stoechospermum marginatum —Used in Direct Injection CI Engine

2025-01-5071

10/16/2025

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The demand for alternate fuel continues to grow steadily, while energy sources are being researched and explored every year. Considering the energy demand and fuel cost this research was initiated to identify better sources for fuel production. Also the emission released into the atmosphere causes significant influence in the global market in terms of pollution, which was also a prime motive toward this research analysis. A green biodiesel, fatty acid alkyl ester, has attracted much attention as an environmentally friendly diesel fuel. This is due to several advantages, especially that fatty acid alkyl ester is renewable, biodegradable, and has less toxic properties as a fuel. In this article, cottonseed (Gossypium hirsutum) biodiesel and algal (Stoechospermum marginatum) biodiesel was prepared with a yield of 94% and 85%, respectively. Single-stage transesterification was performed since the free fatty acid percentage was within the limit. The performance characteristics in terms of brake thermal efficiency and brake specific fuel consumption, algal biodiesel performed better in comparison with cottonseed biodiesel, and its values were closer to standard diesel fuel. The maximum BTE of ABD100 was noticed to be 36.2% and optimized BSFC was 17 kg/kW-h for ABD100. The emission characteristic analysis stated that biodiesel detailed lower CO emission than diesel fuel, at high loads UBHC were lower for biodiesel than diesel fuel, up to 6% and 18% difference. NOx emission was higher for biodiesel, which may be due to better combustion and the diesel fuel produced higher smoke emission, whereas biodiesel depicted lower emission values. Comparatively, algal biodiesel was found to be better, which showcased lower ignition delay and better engine emissions.
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DOI
https://doi.org/10.4271/2025-01-5071
Pages
16
Citation
Godwin, J., Hariram, V., Muthiya, S., Sambandam, P. et al., "Biodiesel Characterization and Prediction Using ANN Modeling along with the Assessment of Performance and Emission Behavior of Fuel Sources— Gossypium hirsutum and Stoechospermum marginatum —Used in Direct Injection CI Engine," SAE Technical Paper 2025-01-5071, 2025, https://doi.org/10.4271/2025-01-5071.
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Publisher
Published
Oct 16
Product Code
2025-01-5071
Content Type
Technical Paper
Language
English