Journal
SUSTAINABILITY
Volume 13, Issue 13, Pages -Publisher
MDPI
DOI: 10.3390/su13137345
Keywords
engine; biodiesel; alcohols; efficiency; emission; properties
Funding
- [R.G.P.1/132/42]
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This experimental study analyzed the performance of a diesel engine using biodiesel derived from Calophyllum inophyllum, focusing on the impact of additives like N-octanol and N-butanol. The addition of these additives was found to affect both engine efficiency and emission profile, with a combination of N-octanol and N-butanol showing the highest brake thermal efficiency and lowest carbon monoxide emission. Response surface analysis revealed optimized thermal efficiency and emission control at different engine loads.
In this experimental study, the performance of the diesel engine was analyzed for biodiesel derived from Calophyllum inophyllum. The impact of the addition of additives such as N-octanol and N-butanol with Calophyllum inophyllum biodiesel has been assessed. Impact of the application of hybrid N-octanol and N-butanol with biodiesel on emission profile used for the engine performance has also been demonstrated. Response surface analysis of alcohol additives-biodiesel blend was performed separately in this study for the engine efficiency and emission profile. A combination of N-octanol and N-butanol presented the highest brake thermal efficiency (BTE) and lowest carbon monoxide (CO) emission among the ternary blends of octanol. N-butanol-biodiesel blend presented the lowest hydrocarbon (HC) emission among the blends of N-butanol. N-octanol with 5 and 10% addition with biodiesel showed the lowest HC emissions among the blends of octanol. The response surface methodology (RSM) optimization revealed that the optimized thermal efficiency and emission were obtained at full load and minimum load, respectively. The addition of N-octanol hindered the emission at all loads, while N-butanol reduced it at higher loads. A strong correlation between the load and alcohol additives on the engine performance and emission profile has been obtained using the RSM optimization approach. The R-squared value obtained from the RSM was 0.92 and emission profile has been characterized.
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