Comparison of DEA frontier and ranking in performance assessment and optimisation of jatropha and fish oil biodiesel blend in CI engine. Issue 2 (3rd May 2020)

• Record Type: Journal Article
• Authors: Pranesh, Venkat; Rakesh, Balaji; Mahalingam, S.; Senthil, S.; Kashyap, Rittik
• Is Part Of: Australian journal of mechanical engineering. Volume 18:Issue 2(2020)
• Page Start: 125
• Page End: 139
• Publication Date: 2020-05-03
• Subjects: Dual Fuel -- injection timing -- diesel engine -- performance -- DEAF -- DEAR; Mechanical engineering -- Periodicals; Mechanical engineering -- Australia -- Periodicals; Periodicals; 621.05
• DOI: 10.1080/14484846.2018.1429039
• Languages: English
• ISSNs: 1448-4846

Abstract

Abstract: This paper presents a novel integrated statistical model to evaluate the diesel engine performance that is operating with duel fuel Jatropha and fish oil blend. Hence, a single cylinder, four stroke, direct Injection constant speed diesel engine was used. The experiments were taken from each category of the injection timing such as retardation, standard and advanced along with single proportion 100% biodiesel blend while other parameters' injection pressure was maintained constant at 220 bar, respectively. The injection timing was changed during testing of the engine and the performance parameters were held for three different load conditions between 1, 50 and 100% at the rated power of 4.4 kW and a speed of 1500 rpm. From the experimental results, it was observed that BSFC tends to decrease from no load to full load. The maximum BTE for JF100 was found in retardation injection timing of 18° at full load. DEA a multi-response linear programming statistical optimisation tool was used to measure the performance and efficiency of a Biodiesel blend in the DI diesel engine. It was formulated by taking fuel blends relative performance efficiency in relation to input and output variables. Both Frontier and Ranking methods in DEA indicated nearly a good convergence with experimental results.