Abstract:In this study, energy and exergy analysis were performed for a single cylinder, water-cooled diesel engine using biodiesel, diesel and bioethanol blends. Each experiment was performed at twelve different engine speeds between 1000 and 3000 rev/min at intervals of 200 rev/min for four different fuel blends. The fuel blends, prepared by mixing biodiesel and diesel in different proportions fuel with 5% bioethanol, are identified as D92B3E5 (92% diesel, 3% biodiesel and 5% bioethanol), D85B10E5 (85% diesel, 10% biodiesel and 5% bioethanol), D80B15E5(80% diesel, 15% biodiesel and 5% bioethanol) and D75B20E5 (75% diesel, 20% biodiesel and 5% bioethanol). The effect of blends on energy and exergy analysis was investigated for the different engine speeds and all the results were compared with effect of D100 reference fuel. The maximum thermal efficiencies obtained were 31.42% at 1500 rev/min for D100 and 31.42%, 28.68%, 28.1%, 28% and 27.18% at 1400 rev/min, respectively, for D92B3E5, D85B10E5, D80B15E5, D75B20E5. Maximum exergetic efficiencies were also obtained as 29.38%, 26.8%, 26.33%, 26.15% and 25.38%, respectively, for the abovementioned fuels. As a result of our analyses, it was determined that D100 fuel has a slightly higher thermal and exergetic efficiency than other fuel blends and all the results are quite close to each other.

The aim of this experimental study was to investigate the effect of addition of methanol and ethanol (5% - 10% and 15%) as a fuel at low rates to gasoline fuel against performance, and emissions characteristics. The experiments were car-ried out in a single cylinder, four-stroke, air-cooled spark plug ignition engine at various engine loads (2 - 2.5 - 3 - 3.5 and 4 Nm) and constant engine speed (2500 rpm). Performance, and emission characteristics of gasoline, methanol-gasoline and ethanol-gasoline blends were evaluated. When the results are examined, with the addition of ethanol and methanol, the specific fuel consumption and specific energy consumption increased, while the brake thermal efficiency decreased. Apart from that, CO and HC emissions have improved. The lowest CO and HC emissions were obtained in G85M15 and G85E15 fuels, respectively. Compared to gasoline, a reduction in CO and HC emissions of over 50% was observed.

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This article focuses on the use of Rule-based Mamdani-type Fuzzy Expert System for the prediction of Pmax, HRRmax, ID, CD as combustion parameters; BTE, BSFC as engine performance parameters and CO, CO2, HC, NOx as exhaust emission parameters of fuel blends formed by blending waste bread bioethanol with gasoline in different proportions. For modeling of 55 test conditions created by being operated test engine with 11 different test fuels under 5 different engine loads. As a result of the study, while combustion parameters were predicted with correlation coefficients in the range of 0.948%-0.973% for waste bread bioethanol-gasoline blends, correlation coefficients for engine performance and exhaust emission parameters were in the range of 0.968%-0.977% and 0.955%-0.991% respectively. Similarly, the ranges of correlation coefficients obtained for sugar beet bioethanol-gasoline blends with FES were as follows: 0.967%-0.971% for engine performance parameters, 0.955%- 0.978% for exhaust emission parameters and 0.951%-0.964% for combustion parameters. These results prove that costly and labor-intensive engine tests can be predicted with minimum effort and high accuracy with the developed model.