Improving combustion and emission characteristics of a biogas/biodiesel-powered dual-fuel diesel engine through trade-off analysis of operation parameters using response surface methodology
•Biodiesel was tested as a pilot fuel for biogas run on a dual-fuel diesel engine.•Experimental investigations at several compression ratios and engine load.•RSM was used for a robust model prediction with R2 in the range of 0.8673 – 0.9917.•The validation test confirmed expected output was within t...
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Veröffentlicht in: | Sustainable energy technologies and assessments 2022-10, Vol.53, p.102455, Article 102455 |
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Hauptverfasser: | , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | •Biodiesel was tested as a pilot fuel for biogas run on a dual-fuel diesel engine.•Experimental investigations at several compression ratios and engine load.•RSM was used for a robust model prediction with R2 in the range of 0.8673 – 0.9917.•The validation test confirmed expected output was within the 6% error range.•17.53 of CR and 76.84% of engine load were optimal parameters.
The present study focused on using dual-fuel such as Mahua oil biodiesel and biogas in a diesel engine to analyze performance and emission by varying compression ratio (CR) and engine loads. Following the experimental step, the response surface approach was used to model-predict, and optimize. The variance analysis was used to create relationship functions between the independent control variables (engine loads and CR) and their dependent response variables (performance and emission indices). A robust model is indicated by a high coefficient of determination value for all outputs (0.8673 – 0.9917). The optimization yielded 15.25% brake thermal efficiency, 326 °C exhaust gas temperature, 2.85 kg/h biogas flow rate, 68.9% liquid fuel replacement, and 44 bar peak cylinder pressure. A trade-off study of engine performance vs. emission at optimal operating settings produced 4.45 vol% CO2, 39 ppm NOx, 90 ppm HC, and 90.17 ppm CO. The validation test in the lab revealed that all of the predicted output was within a 6% error range. This research indicated that dual-fuel might be an excellent choice for improving waste-to-energy prospects, performance, and emissions. |
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ISSN: | 2213-1388 |
DOI: | 10.1016/j.seta.2022.102455 |