A Systematic Multivariate Analysis of Carica papaya Biodiesel Blends and Their Interactive Effect on Performance
Mohammad Anwar,
Mohammad G. Rasul and
Nanjappa Ashwath
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Mohammad Anwar: School of Engineering and Technology, Central Queensland University, North Rockhampton, QLD 4702, Australia
Mohammad G. Rasul: School of Engineering and Technology, Central Queensland University, North Rockhampton, QLD 4702, Australia
Nanjappa Ashwath: School of Health, Medical and Applied Sciences, Central Queensland University, North Rockhampton, QLD 4702, Australia
Energies, 2018, vol. 11, issue 11, 1-20
Abstract:
This paper investigates the interactive relationship between three operating parameters (papaya seed oil (PSO) biodiesel blends, engine load, and engine speed) and four responses (brake power, BP; torque; brake specific fuel consumption, BSFC; and, brake thermal efficiency, BTE) for engine testing. A fully instrumented four cylinder four-stroke, naturally aspirated agricultural diesel engine was used for all experiments. Three different blends: B5 (5% PSO biodiesel + 95% diesel), B10 (10% PSO biodiesel + 90% diesel), and B20 (20% PSO biodiesel + 80% diesel) were tested. Physicochemical properties of these blends and pure PSO biodiesel were characterised, and the engine’s performance characteristics were analysed. The results of the engine performance experiments showed that, in comparison with diesel, the three PSO biodiesel blends caused a slight reduction in BP, torque, and BTE, and an increase in BSFC. The analysis of variance and quadratic regression modelling showed that both load and speed were the most important parameters that affect engine performance, while PSO biodiesel blends had a significant effect on BSFC.
Keywords: diesel; Carica papaya; engine performance; biodiesel; characterisation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:11:p:2931-:d:178639
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