Comparison of the emission potential of renewable fuels in mono- and bi-fuel systems from the point of view of a car fleet in an incoming circular economy

Florian Köhler, Martin Schenk, Claus Reulein, Helmut Eichlseder
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Abstract

The aim of the study is to investigate the most effective approach to reduce the emissions of a SI-engine while using a limited amount of renewable fuel. In this study, the renewable fuels ethanol, methanol, 2-ethoxy-2-methylpropane (ETBE), acetone, and dimethylformamide (DMF) were investigated with various fixed admixture rates and with a fully variable on-board fuel mixture (Smart-Fuel concept). One result of the study is that for a Smart-Fuel concept using methanol a reduction in CO2 emissions of approx. 12.5% and a reduction in particulate emissions of approx. 60% can be achieved, when considering an entire car fleet. In terms of engine efficiency, as well as particulate emissions, the pure substances, except DMF, achieved significant improvements compared to standard gasoline. Compared with the pure substances, the Smart-Fuel concept achieved lower advantages; however, it used significantly less scarcely available renewable fuel in the process. Based on the limited availability of renewable fuels within the first stages of a circular economy, the Smart-Fuel concept proves to be a very efficient transition technology to achieve the CO2 reduction targets. The Smart-Fuel concept only uses renewable fuel when it is worthwhile in terms of efficiency or emissions. Predefined fuel blends in a mono-fuel concept offer much less reduction potential in terms of emissions than the Smart-Fuel concept. However, with respect to particulate raw emissions, especially for moderate mixing rates significantly increased particle emissions are sometimes observed, despite the overall very good performance of the pure substances.

从即将到来的循环经济中的车队角度比较单燃料和双燃料系统中可再生燃料的排放潜力
该研究的目的是研究在使用有限量可再生燃料的情况下减少SI发动机排放的最有效方法。在本研究中,研究了可再生燃料乙醇、甲醇、2-乙氧基-2-甲基丙烷(ETBE)、丙酮和二甲基甲酰胺(DMF)在不同固定混合率和全可变车载燃料混合物(智能燃料概念)下的情况。该研究的一个结果是,对于使用甲醇的智能燃料概念,当考虑整个车队时,可以实现约12.5%的二氧化碳排放量减少和约60%的颗粒物排放量减少。在发动机效率和颗粒物排放方面,除DMF外,纯物质与标准汽油相比有了显著改善。与纯物质相比,智能燃料概念的优势更低;然而,在这一过程中,它使用的几乎不可用的可再生燃料要少得多。基于循环经济第一阶段可再生燃料的有限可用性,智能燃料概念被证明是实现二氧化碳减排目标的一种非常有效的过渡技术。智能燃料概念仅在效率或排放方面值得使用的情况下使用可再生燃料。与智能燃料概念相比,单燃料概念中的预定义燃料混合物在排放方面的减排潜力要小得多。然而,关于颗粒物的原始排放,特别是对于中等混合速率,有时会观察到颗粒物排放显著增加,尽管纯物质的总体性能非常好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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