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The mathematical model of producing winter diesel fuel (including logistic costs)

机译:生产冬季柴油燃料的数学模型(包括物流成本)

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The authors reviewed the statistics of winter diesel fuel consumption in the Russian Federation for 2000–2017, revealed a positive growth rate. On this fact, the relevance of the study was substantiated. The complexity and importance of the refining process leads to the need for digitalization of oil refineries. The object of the study is obtaining winter diesel fuel, taking into account transport costs. The subject of the study is digitalization of the oil refining process on the base of constructing the mathematical model for obtaining winter diesel fuel, taking into account delivery costs. Main research methods: retrospective data analysis, synthesis, comparison, linear programming methods. The authors considered two stages of winter diesel fuel production: dewaxing a mixture of stages of hydrocarbon raw materials on zeolite and subsequent compounding. For each stage, the authors compiled a system of equations describing the process. The authors also compiled a target function for obtaining winter diesel fuel, taking into account the costs of receiving and delivering. The obtained mathematical model can be used to ensure the required quality of winter diesel fuel (in terms of sulfur content, density and flash point).
机译:作者审查了俄罗斯联邦2000 - 2017年冬季柴油燃料消耗的统计数据,揭示了积极的增长率。在这一事实上,证实了该研究的相关性。炼油过程的复杂性和重要性导致炼油厂数字化的需求。该研究的目的是获得冬季柴油燃料,考虑到运输成本。研究的主题是炼油过程的数字化,用于构建冬季柴油燃料的数学模型,考虑到交付成本。主要研究方法:回顾性数据分析,合成,比较,线性规划方法。作者认为冬季柴油生产的两个阶段:脱蜡沸石上烃原料阶段的混合物和随后的配混。对于每个阶段,作者编译了描述该过程的等式系统。作者还考虑到接收和交付的成本,编制了获得冬季柴油燃料的目标功能。所获得的数学模型可用于确保冬季柴油燃料所需的质量(硫含量,密度和闪点)。

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