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Exergy-energy, and sustainability index assessment of oxy-acetylated enriched-TiO2-Scenedesmus obliquus biodiesel fuel blends in a diesel engine

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  • Tomomewo, Olusegun Stanley
  • Oni, Babalola Aisosa

Abstract

Biodiesel, prepared by transesterification of Scenedesmus-obliquus as a feedstock blended with acetylene-air at different flowrates is used to fuel a diesel engine. An Exergy-energy analysis compares baseline diesel at various engine design variables. The fuel samples were tested for sustainability, combustion efficiency, emissions, useful work energy, and engine performance, through exhaust gases in a Rainbow-186 Diesel engine at different loads. Data analysis provides optimal operating conditions for the efficient combustion of the fuel blends. Optimal performance was obtained at a compression ratio of 17.5 and injection pressure of 210 bar, with energy efficiency observed as 37.00 % for Scenedesmus-obliquus-biodiesel-TiO2 +200g/h-acetylene-air which is the most suitable fuel blends relative to the diesel fuel at 30.9 %. The biodiesel-acetylene-air addition reduces the NOx, CO2 and UHC emissions with an average of 17.23 %, 9.04 % and 12.77 % when compared with diesel fuel. While such reductions may demonstrate technological advancements, their real-world impact depends on operating conditions, which can vary significantly in practical applications. Under full load, the exergy efficiencies and sustainability index values of the blends are 6.83, and 1.57 % higher, compared to diesel at full load. The highest sustainability index for the fuel blends is 1.6 at 100 % engine load in Scenedesmus-obliquus-biodiesel-TiO2 +200 g/h acetylene-air fuel.

Suggested Citation

  • Tomomewo, Olusegun Stanley & Oni, Babalola Aisosa, 2025. "Exergy-energy, and sustainability index assessment of oxy-acetylated enriched-TiO2-Scenedesmus obliquus biodiesel fuel blends in a diesel engine," Renewable Energy, Elsevier, vol. 246(C).
    • Handle: RePEc:eee:renene:v:246:y:2025:i:c:s0960148125005324
    DOI: 10.1016/j.renene.2025.122870
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    1. Xie, Manyao & Wang, Ying & Zhang, Kaibo, 2025. "Development and optimization of a realistic biodiesel-methanol mechanism based on genetic algorithm," Renewable Energy, Elsevier, vol. 250(C).

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