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Variation in the stoichiometric AFR in ternary blends and deviation of the stoichiometric AFR from that of anhydrous E85 at an equivalent volumetric energy density for various ternary blend ethanol concentrations. 

Variation in the stoichiometric AFR in ternary blends and deviation of the stoichiometric AFR from that of anhydrous E85 at an equivalent volumetric energy density for various ternary blend ethanol concentrations. 

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When appropriately sourced, bioethanol and biodiesel fuels provide an opportunity for nations to increase their energy independence or to reduce greenhouse gas emissions by supplying energy-dense fuels which are miscible with fossil-derived gasoline and diesel. These fuels can be used in low concentrations in vehicles with no modifications; in the...

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... B term in equation (2) is constant for a given target binary-ternary blend and gives the volume frac- tion of methanol when all the ethanol is removed from the ternary blend, i.e. when V e =V = 0, as Figure 2 shows that the AFRs of the range of mix- tures delineated by all vertical lines in Figure 1 vary by a maximum of 0.12% relative to that of E85 across the range of ethanol volume fraction levels in the ternary blend mixtures. Appendix 2 gives the relationships used to plot these data. ...
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... the model employed by the present authors, the liquid-phase activity coefficients g i of each species are calculated via the Wilson equation using the activity coefficients at infinite dilution for each binary pair obtained from the revised modified separation of cohe- sive energy density (MOSCED) model of Lazzaroni et al. 33 The vapour-phase fugacity coefficients f i for each species are calculated from the virial equation of state where the second virial coefficient of each species within the mixture is calculated using the correlation described by Smith et al. 34 The interaction parameters for each binary pair are estimated from pure compo- nent critical data using the correlation given by Chueh and Prausnitz; 35 the exception to this is for alkane- alcohol systems for which values of 0.15 are assigned following the work by Tsonopoulos et al. 36 The model was well validated against literature data for a range of gasoline and gasoline-oxygenate blends (see Appendix 6 for further details of the numerical model and exam- ples of the validation results). Figure 12. Measured and predicted distillation profiles for the RF-02-03 gasoline and the E85 iso-stoichiometric GEM blends. ...
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... experiment. rate program to be more suitable for a blend with a large quantity of a single low-molecular-mass compo- nent returned the results presented in Figure 12, which are considered to be reliable. Some of the other results presented by Turner et al. 18 are further discussed below for completeness. ...
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... from tests on a prototype tri-FFV employing a physical sensor, it was known that metha- nol and ethanol cause different responses in a physical sensor. This is illustrated in the data presented in Figure 20, which was gathered on the vehicle used by Pearson et al. 45 when it was fuelled with binary gasoline-ethanol or gasoline-methanol fuels of various compositions. The measured ethanol data correlate well with information published by the supplier of this sensor. ...
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... inspection of Figure 20 from the stand- point of the ternary blends discussed above suggests that the responses may not be very different for blends with the same stoichiometry. Consider the two limiting cases at the same stoichiometry as E85: blend A (G15 E85 M0) and blend D (G44 E0 M56). ...
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... the two limiting cases at the same stoichiometry as E85: blend A (G15 E85 M0) and blend D (G44 E0 M56). From the data used to plot Figure 20, the sensor responses for these two binary blends would be 134 Hz and 129 Hz respec- tively, i.e. a difference of the order of 4%, and thus extremely close (see the horizontal dashed lines on Figure 20). Indeed from this observation it would not be unreasonable to suppose that all the potential iso- stoichiometric blends at 9.7:1 stoichiometry would have sensor outputs between these two limit values. ...
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... the two limiting cases at the same stoichiometry as E85: blend A (G15 E85 M0) and blend D (G44 E0 M56). From the data used to plot Figure 20, the sensor responses for these two binary blends would be 134 Hz and 129 Hz respec- tively, i.e. a difference of the order of 4%, and thus extremely close (see the horizontal dashed lines on Figure 20). Indeed from this observation it would not be unreasonable to suppose that all the potential iso- stoichiometric blends at 9.7:1 stoichiometry would have sensor outputs between these two limit values. ...
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... standard reference fuels required at octane numbers above 100 require the inclusion of tetra- ethyl lead (TEL). TEL is extremely toxic and there- fore most routine laboratories will not keep TEL in stock and therefore will either use the compres- sion ratio guide table only, which is considered to Figure 20. Physical sensor responses measured during the work conducted by Pearson et al. 45 Note the different responses for binary blends of ethanol and methanol in bulk gasoline due to the different levels of polarity of the two molecules; also note that blends A (G15 E85 M0) and D (G44 E0 M56) have substantially the same responses. ...
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... details of the tests reported by Turner et al. 14,15 were not available and thus it is not clear how reliable or accurate they might be. These results are plotted as a function of the methanol content in Figure 21 for com- parison. The results do not have good absolute value agreement even though the same base gasoline and alcohol blending components were used for both sets of blends.. ...
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... was done in order to ensure that the final blend RON values would lie below 100, and therefore they would not present the pitfalls discussed above and allow robust measurement in a routine laboratory. The RONs and MONs of these blends were analysed and the results are given in Table 3 and plotted against the methanol content in Figure 22. The range of octane numbers is relatively small, although there is a generally decreasing trend as the methanol content increases. ...
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... differences tend therefore to counteract each other when using the molar blending rules with the resulting RON and MON values as all the blends are quite similar. Figure 23 presents the octane numbers of the iso- stoichiometric E85-eq21 blends, utilising the molar blending rules to calculate the octane numbers. It is again clear that the octane number decreases slightly with increasing methanol content; however, the decreases in the RON and the MON over the entire blending range are only 1.1 and 1.2 respectively. ...
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... fuels used to manufacture E85-equivalent blends may have a lower octane number than that used in this study. Molar blending rules were then used to calculate the RONs and the MONs for E85-equivalent iso- stoichiometric GEM blends with the gasoline fraction which have RON values of 85 and 75 and MON values of 75 and 65; these results are presented in Figure 24. It is apparent that, the lower the octane number of the gasoline fraction, the larger the effect of the decrease in the octane number with increasing methanol content. ...
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... startability should not be expected to be impacted negatively on any of these blends. The methanol-containing blends have a significantly elevated RVP and thus may lead to Figure 24. Octane number as a function of the methanol content for E85-equivalent iso-stoichiometric GEM blends calculated with molar blending rules with a range of hypothetical lower-octane-number gasoline components from the work by Turner et al. 18 Figure 23. ...
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... number as a function of the methanol content for E85-equivalent iso-stoichiometric GEM blends calculated with molar blending rules with a range of hypothetical lower-octane-number gasoline components from the work by Turner et al. 18 Figure 23. Octane number as a function of the methanol content for the E85-equivalent iso-stoichiometric GEM blends calculated with molar blending rules from the work by Turner et al. 18 Figure 22. Octane number as a function of the methanol content for E15-eq19 iso-stoichiometric GEM blends from the work by Turner et al. 18 increased emissions; also the carbon canister vapour traps may be overloaded, leading to fugitive hydrocar- bon emissions. ...
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... of the volume fraction and the mole fraction Figure 25 shows the relationship between the volume fraction and the mole fraction for several different alco- hol fuels mixed with a standard-specification gasoline pump fuel. It can be seen that for methanol and ethanol there is considerable difference between the concentra- tions defined in terms of the volume fraction and the mole fraction. ...
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... a 50:50 volumetric mixture of metha- nol and gasoline, almost 80% of the molecules are those of the alcohol. It is also apparent from Figure 25 that for the higher alcohols there is significantly less difference between the mole fractions and the volume fractions. For mix- tures of the particular gasoline used here and octanol (C 8 H 17 OH) there is virtually no difference between the volume fractions and the mole fractions. ...
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... performance of the present authors' distillation model was assessed against a wide range of literature data for ethanol and methanol blended fuels of various complexities. Figure 27(a), (b) and (c) show the numeri- cal predictions for the distillation curves of indolene, indolene + 10 vol % ethanol and indolene + 10 vol % methanol against the experimental data obtained by Furey. 31 Figure 28 shows the model predictions for the more complex case of a full-boiling-range gasoline (repre- sented by a 17-component model) with 5 vol % ethanol and 10 vol % ethanol, validated against the experimen- tal data obtained by Martini et al. 57 The results shown in Figures 27 and 28 indicate that the present authors' zero-dimensional thermodynamic distillation model is able to represent the ASTM D86 distillation characteristics of both the base fuel and the non-ideal interactions of the base fuel with ethanol and methanol with good accuracy. ...
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... 27(a), (b) and (c) show the numeri- cal predictions for the distillation curves of indolene, indolene + 10 vol % ethanol and indolene + 10 vol % methanol against the experimental data obtained by Furey. 31 Figure 28 shows the model predictions for the more complex case of a full-boiling-range gasoline (repre- sented by a 17-component model) with 5 vol % ethanol and 10 vol % ethanol, validated against the experimen- tal data obtained by Martini et al. 57 The results shown in Figures 27 and 28 indicate that the present authors' zero-dimensional thermodynamic distillation model is able to represent the ASTM D86 distillation characteristics of both the base fuel and the non-ideal interactions of the base fuel with ethanol and methanol with good accuracy. ...

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