Gasoline online blending method

Abstract

The invention discloses a gasoline online blending method, wherein the method comprises: linear and nonlinear mathematic models based on real-time flow quantity and quality indicators of processed oil and constituent oils constituting the processed oil, an online real-time auto-correction method for gasoline blending mathematic models and a real-time optimization technique which is developed based on the mathematic model. By adopting the gasoline online blending method in the invention, the problems of low success rate of products produced by a traditional intermittent vessel type blending method, long blending time, high blending cost and more excess of quality can be solved, and an optimal blending formulation can be offered in real-time to satisfy a plurality of requirements related to quality and cost when the products of the constituent oils fluctuate, thus enhancing the benefit of an oil plant remarkably.

Description

technical field [0001] The invention belongs to the field of chemical industry and automatic control, and relates to the model establishment, online correction and optimization method of gasoline blending. Background technique [0002] The petroleum and chemical industry is an important basic raw material industry and one of the pillar industries of the national economy. The oil refining industry is an important part of the petrochemical industry, providing a variety of oil products and chemical raw materials. Gasoline is the most important product of the refinery, and the sales revenue of gasoline usually accounts for 60% to 70% of the total revenue of the refinery. The increase in car ownership will further increase the demand for gasoline, and also increase the emission of pollutants such as nitrogen oxides and carbon monoxide, further aggravating urban traffic pollution. For this reason, people put forward higher and higher requirements to the quality of gasoline. Oil...

AI Technical Summary

Problems solved by technology

Due to the nonlinear blending characteristics of gasoline quality indicators (such as octane number), the first-time blending pass rate is low (about 60%) and the blending cycle is long (it takes about 30 hours to blend a tank of 5,000 tons of finished gasoline)

Manual blending not only reduces production efficiency and increases loss, but also because product quality cannot be accurately controlled, in order to ensure product quality in actual production, some quality indicators are often excessive (for example, the octane number exceeds 0.6), resulting in big waste

Therefore, the existing manual blending method is far from being able to meet the requirements of high efficiency, low loss, and high edge rate of oil blending today.

[0004] The main challenge in the gasoline blending process is to maximize product revenue while meeting hard constraints such as the quality index of finished gasoline, the flow rate, total amount, and control valves of the blended component oils

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