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Model-based injector control map development to improve CRDi engine performance and emissions for eucalyptus biofuel

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  • Ashok, B.
  • Usman, Kaisan Muhammad
  • Vignesh, R.
  • Umar, U.A.

Abstract

The twin crisis of fossil fuel dependency and environmental pollution laid a path toward finding a suitable alternative fuel to diesel that is environmentally friendly, viable and equivalent to diesel engine output characteristics is required. Biodiesel emerges as promising fuel however due to some demerits the minimum engine emissions and better combustion can be achieved in CRDI engines through employing a split injection strategy. Within this context, the primary goal of this research is to development of optimum injector control maps using a novel global model-based scheme for an entire operating range of engines fuelled with Eucalyptus blended diesel (80:20 vol). The empirical relation between engine explanatory and response variables are models through the response surface methodology (RSM) based on the I-optimal design technique. For the developed map through the model and multivariate optimization, the efficiency achieved the best value of 33.74% whereas fuel consumption is 0.375 kg/kWh. The maximum emission rate of hydrocarbon, carbon monoxide, oxides of nitrogen (NOx) and smoke is 6.74 ppm, 0.55%, 974 ppm and 669 mg/m3. In comparison to the un-optimized map, an increase in efficiency of 15.63% and a decrease in fuel consumption of 5.12% is achieved for the Eucalyptus blend. NOX and smoke trade-off effect has been optimally reduced simultaneously for the developed fuel map.

Suggested Citation

  • Ashok, B. & Usman, Kaisan Muhammad & Vignesh, R. & Umar, U.A., 2022. "Model-based injector control map development to improve CRDi engine performance and emissions for eucalyptus biofuel," Energy, Elsevier, vol. 246(C).
    • Handle: RePEc:eee:energy:v:246:y:2022:i:c:s0360544222002584
    DOI: 10.1016/j.energy.2022.123355
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    References listed on IDEAS

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