纯生物乙醇燃料下不同点火时间下火花点火发动机能量与火用分析

Q3 Mathematics

Herald of the Bauman Moscow State Technical University. Series Natural Sciences Pub Date : 2023-04-01 DOI:10.18698/1812-3368-2023-2-140-159

M. Paloboran, H. Syam, M. Yahya, Jamaluddin

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引用次数: 0

摘要

用热力学第一和第二定律分析了SI-PFI发动机的能量和火用率，以及燃料点火在10和26 BTDC(上止点前)间隔4 BTDC时的变化。发动机在2000- 8000 RPM(增量1000 RPM)的8个级别上运行，使用纯生物乙醇燃料(E100)，压缩比为13:1。将燃料点火对E100燃料能量和火用分析的影响与参考燃料E0在11:1压缩比和10 BTDC下进行比较。结果表明，E100在18btdc和6000 RPM转速下的能量效率和火用效率分别为46.59%和41.90%。在5000rpm时，E0的能量效率和火用效率分别为43.33%和31.76%。此外，E100在6000 RPM和18 BTDC时的最小BSFC为0.2867 kg/(kW•h)，而E0在5000 RPM时的最小BSFC为0.1960 kg/(kW•h)。这些结果表明E100比E0更有效地将热量转化为有用的功，尽管它比E0多浪费30%

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Energy and Exergy Analysis on Spark Ignition Engines under Varying Ignition Timing with Pure Bioethanol Fuel

The first and second laws of thermodynamics analysis used to show the rate of energy and exergy as a performance of SI-PFI engine with the variation of fuel ignition between 10 and 26 BTDC (before top dead Centre) at interval 4 BTDC. The engine was performed on eight levels of speed in intervals 2000--8000 RPM (increment of 1000 RPM) with pure bioethanol fuel (E100) and 13:1 of compression ratio. The effect of fuel ignition on energy and exergy analysis of E100 fuel will be compared with E0 as reference fuel that performed in 11:1 of compression ratio and 10 BTDC. The results show that the maximum efficiency of energy and exergy for the E100 are 46.59 and 41.90 % at 18 BTDC and 6000 RPM. Meanwhile, the maximum efficiency of energy and exergy for E0 were 43.33 and 31.76 % at 5000 RPM. Moreover, the minimum BSFC for the E100 is 0.2867 kg/(kW•h) at 6000 RPM and 18 BTDC while for the E0 is 0.1960 kg/(kW•h) at 5000 RPM. These results indicate that E100 is more effectivein transferring heat into useful work although it is 30 % more wasteful than E0

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来源期刊

Herald of the Bauman Moscow State Technical University. Series Natural Sciences Mathematics-Mathematics (all)

CiteScore

1.10

自引率

0.00%

发文量

期刊介绍： The journal is aimed at publishing most significant results of fundamental and applied studies and developments performed at research and industrial institutions in the following trends (ASJC code): 2600 Mathematics 2200 Engineering 3100 Physics and Astronomy 1600 Chemistry 1700 Computer Science.