柴油和生物柴油混合物产生的压缩点火内燃机排放的建模和仿真

J. Barbosa, W. Balmant, C. H. Matiolo, A. Mariano, J. Vargas
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引用次数: 0

摘要

生物燃料已被确定为解决能源生产中使用化石燃料所造成的问题的可能解决方案。虽然它们通常产生较少的排放,但有迹象表明,使用生物柴油混合物驱动的发动机比使用化石柴油驱动的发动机排放更多的污染物,如氮氧化物。因此,需要对这两种燃料产生的排放物进行进一步的调查,以最好地了解每种燃料对环境造成的危害。在不花费大量资源的情况下,扩展任何学科的理解力的最佳工具之一就是数学模型。为了更好地理解压缩点火内燃机(ICO)所用燃料与作为热力学过程子产物产生的排放之间的关系,本文旨在根据所使用的燃料混合物建立排放产生的数学模型。主要目标是建立一个简单的模型,从化学动力学的角度出发,但有充分收集的实验数据的支持,以及数学模型调整和验证的方法,使模型以令人满意的精度描述现象的现实。该数学模型是用FORTRAN语言完全实现的。有两种数据:一种是用来校准和调整模型的常数,使模型能够正确地描述事件的真实情况;另一种是作为调整和校准后模型验证的比较基础。通过这项工作,人们期望了解这些燃料的使用如何影响全球排放,以及如何通过在净功率输出和净排放量之间的最佳点使用最佳燃料混合物来优化我们的能源生产。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MODELING AND SIMULATION OF COMPRESSION-IGNITION INTERNAL COMBUSTION ENGINES’ EMISSIONS PRODUCED BY DIESEL AND BIODIESEL MIXTURES
Biofuels have been identified as possible solutions to the problems caused by the usage of fossil fuels in energy production. Although they generally produce fewer emissions, there are indications that engines powered with biodiesel mixtures emit pollutants such as nitrogen oxides in greater quantities than when powered by fossil diesel. So, further investigation on the emissions produced by these two fuels is needed, with the goal of best knowing what kind of harm to the environment each one of those is causing.  One of the best tools available for expanding any subject’s comprehension, without spending lots of resources, are mathematical models. In order to better understand the relations between the fuel used to power a compression-ignition internal combustion engine (ICO) and the emissions produced as subproducts of the thermodynamic process, this paper aims at developing a mathematical model of the production of emissions according to the fuel mixture used. The main goal is to develop a simple model, from the point of view of chemical kinetics, but with the support of well-collected experimental data, and methods of mathematical model adjustments and validations, to make the model describe the reality of the phenomena with satisfactory precision. This Mathematical Model is completely implemented using FORTRAN® Language. There are 2 sorts of data: one used to calibrate and adjust the model’s constants so the model can properly describe the reality of the events, and the other as the basis of comparison for the validation of the model after adjustments and calibrations. With this work, it is expected that the knowledge about how the use of these fuels impact global emissions, and how it is possible to optimize our energy production by using the best mixture of fuels at the optimal point between net power outtake and net emissions produced.
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