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Improving the efficiency of technological units for the production of high-quality motor fuels using fuzzy mathematics methods

机译:采用模糊数学方法提高生产高质量电机燃料的技术单位效率

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This paper investigates the problems of increasing the efficiency of technological installations of oil refineries, which produce high-octane and environmentally friendly motor fuels. We used methods of mathematical modeling and fuzzy mathematics to maximize the volume of gasoline produced and improve its quality indicators, taking into account the imposed restrictions. On the basis of a systematic approach, an effective methodology is created for the development of a package of models of interconnected plant units using available information of a different nature, including fuzzy information. The resulting package of models makes it possible to systematically simulate the work of the unit under study and to increase the efficiency of the facility by increasing the volume of manufactured target products and improving its quality indicators. There are presented results of the analysis and expert assessment of the catalytic reforming unit LG-35-11/300-95 and the choice of the optimal type of model for individual units. A scheme is being created for combining the developed models into a single package of models. On the basis of the proposed methodology, hybrid models are being developed that make it possible to determine the volume of produced catalyzate and its quality indicators.
机译:本文调查了提高石油炼油厂技术装置效率的问题,生产高辛烷值和环保的电机燃料。我们使用数学建模和模糊数学的方法来最大限度地提高生产的汽油量,并考虑到所强加的限制。在系统方法的基础上,利用不同性质的可用信息开发一包互联植物单元的型号,包括模糊信息,为开发有效的方法。由此产生的模型包使得可以通过增加制造的目标产品的体积并改善其质量指标来系统地模拟研究的工作和提高设施的效率。呈现出催化重整单元LG-35-11 / 300-95的分析和专家评估结果以及各个单位的最佳型号的选择。正在创建一个方案,用于将开发模型组合成单个模型。在提出的方法的基础上,正在开发混合模型,使得可以确定产生的催化催化的体积及其质量指标。

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