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Dynamic evolution modeling and energy-saving optimizing method of high sulfur natural gas purification process

A purification process and dynamic evolution technology, applied in design optimization/simulation, biological neural network model, special data processing application, etc., can solve problems such as high acid component concentration, product gas flow rate drop, etc., and achieve the effect of overcoming process interference

Active Publication Date: 2017-05-31
CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

In addition, the concentration of acidic components in high-sulfur natural gas is high, and the volume of purified product gas is significantly lower than that of feed gas.

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  • Dynamic evolution modeling and energy-saving optimizing method of high sulfur natural gas purification process
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  • Dynamic evolution modeling and energy-saving optimizing method of high sulfur natural gas purification process

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Embodiment Construction

[0032] name explanation

[0033] ST-UKFNN: Strong TrackUnscented Kalman FilterNeural Network, strong tracking unscented Kalman filter neural network.

[0034] ST-UPFNN: Strong Track Unscented Particle Filter Neural Network, a strong tracking unscented particle filter neural network, which combines ST-UKFNN, particle filter (Particle Filter), and BP neural network.

[0035] SPEA-II: Strength pareto evolutionary algorithm-II, an improved strength pareto evolutionary algorithm.

[0036] The dynamic evolution modeling and energy-saving optimization method of the high-sulfur natural gas purification process provided by the present invention includes:

[0037] Step S1: Select the process parameters that affect the desulfurization efficiency and the performance indicators of the desulfurization unit; among them, the process parameters include the flow rate of lean amine liquid entering the tail gas absorption tower, the flow rate of lean amine liquid entering the secondary absorptio...

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Abstract

The invention provides a dynamic evolution modeling and energy-saving optimizing method of a high sulfur natural gas purification process; the method includes steps of collecting and forming a sample set after selecting the technical parameter influencing on desulphurization efficiency and performance index of a desulphurization unit; normalizing the sample set and forming a normalized sample set; selecting a training sample and a testing sample therefrom; structuring a neutral network model based on the training sample and confirming the initial state variable of the neutral network model; estimating the optimal state variable of the neutral network model by ST-UPFNN algorithm; updating the neutral network model according to the optimal state variable; respectively structuring a preference function of H2S concentration and CO2 concentration; optimizing respective upper and lower limits of the technical parameters of the H2S concentration and CO2 concentration by SPEA-II algorithm; introducing the optimized technical parameter to an updated neutral network model; calculating the optimized system performance of the technical parameter, comparing with a mean value of the system performance of the actual sample. By using the invention, the production efficiency of the high sulfur natural gas purification can be improved.

Description

technical field [0001] The invention relates to the technical field of purification of high-sulfur natural gas, and more specifically, to a dynamic evolution modeling and energy-saving optimization method for purification of high-sulfur natural gas. Background technique [0002] The content of acidic components in high-sulfur natural gas is several times higher than that of conventional natural gas, and the desulfurization process has a large amount of amine liquid circulation, complex process and high energy consumption. Statistics show that the energy consumption of desulfurization units accounts for more than 50% of the total energy consumption of high-sulfur natural gas purification plants, and its unit comprehensive energy consumption is as high as 1729.3MJ·t-1, which is a high energy consumption unit. For large-scale purification plants, energy consumption can be reduced by 5% to 10% through optimization of desulfurization units. In addition, the concentration of acid...

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Application Information

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IPC IPC(8): G06F17/50G06N3/02
CPCG06F30/20G06F2119/06G06F2119/18G06N3/02
Inventor 辜小花唐海红裴仰军李太福杨利平王坎张堃张利亚
Owner CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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