Performance optimization of ethanol blends in diesel model using Taguchi and grey relational approach
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View abstract on PubMed
Summary
This summary is machine-generated.This study optimizes diesel engine performance using ethanol-biodiesel blends, finding ideal settings to reduce fuel consumption and emissions. While improving efficiency, nitrogen oxide (NOx) emissions increased, highlighting a key trade-off in biofuel use.
Area Of Science
- Internal Combustion Engines
- Sustainable Energy
- Environmental Science
Background
- Diesel engines are vital but raise environmental and health concerns due to emissions like nitrogen oxides (NOx) and particulate matter (PM).
- Biofuels (ethanol, biodiesel) offer renewable, lower-impact alternatives but require engine optimization.
- Direct injection diesel engines in light-duty applications are a focus for improving efficiency and reducing environmental impact.
Purpose Of The Study
- To assess the impact of fuel injection pressure, ethanol-biodiesel blend percentage, and engine load on diesel engine efficiency and emissions.
- To identify optimal operating parameters for a direct injection diesel engine using biofuel blends.
- To evaluate the effectiveness of the Taguchi method and desirability function for engine optimization.
Main Methods
- Utilized the Taguchi L9 orthogonal array to systematically vary fuel injection pressures (220-260 bar), ethanol-biodiesel fractions (10-30%), and engine loads (20-80%).
- Analyzed key performance indicators including brake specific fuel consumption (BSFC) and brake thermal efficiency (BTE).
- Evaluated atmospheric emissions such as carbon monoxide (CO) and nitrogen oxides (NOx), alongside smoke density.
Main Results
- Optimal parameters identified: 220 bar injection pressure, 40% ethanol-biodiesel blend, and 80% engine load.
- Achieved a 7.5% reduction in BSFC, 15% decrease in CO emissions, and 18% reduction in smoke density compared to conventional diesel.
- Maximum brake thermal efficiency (BTE) reached 32%, but NOx emissions increased by 12%, indicating a performance-emissions trade-off.
Conclusions
- The Taguchi technique and desirability function effectively optimized diesel engine performance with biofuel blends.
- The identified optimal conditions balance improved fuel efficiency and reduced CO/smoke emissions.
- Further research is needed to mitigate the increase in NOx emissions when using higher biofuel concentrations.
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