Gasoline online blending method

A blending method and gasoline technology, applied in control/regulation systems, instruments, adaptive control, etc., can solve problems such as increased loss, inaccurate control of product quality, and high edge rate

Active Publication Date: 2011-04-20
EAST CHINA UNIV OF SCI & TECH
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  • Abstract
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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

Method used

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Embodiment Construction

[0077] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0078] First, in order to establish a gasoline blending model, especially the model of RON and DON attributes, a blending experiment was conducted to select the appropriate blending formula for each grade of gasoline. Corresponding blending experiments adopt manual methods and laboratory analysis methods to collect oil property data P of each component j,i and the corresponding blended product oil property data P j l . Based on the collected data, the pb in the blending model formula (1) is obtained by linear regression j,i value. The linear regression method is as follows:

[0079] r 1,1 r 1,2 . . . ...

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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 toquality 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 fields of chemical industry and automatic control, and relates to a model establishment, online correction and optimization method for gasoline blending. Background technique [0002] Petroleum and chemical industries are important basic raw material industries 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 a refinery, and the sales revenue of gasoline usually accounts for about 60% to 70% of the total revenue of the refinery. The increase in car ownership will further increase the demand for gasoline, but also increase the emission of nitrogen oxides, carbon monoxide and other pollutants, further aggravating urban traffic pollution. For this reason, people put forward higher and higher requirements for the quality of gasoline. O...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
Inventor 钱锋王振雷杜文莉程辉
Owner EAST CHINA UNIV OF SCI & TECH
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