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Method for predicting nitrogen oxide emission concentration of coal-fired unit based on neural network

A technology for coal-fired units and nitrogen oxides, applied in biological neural network models, instruments, calculations, etc., can solve problems such as uneven distribution, difficulty in ensuring the accuracy of the concentration of nitrogen oxides at the outlet, and easy corrosion and blockage of measuring instruments , to achieve the effect of reducing maintenance costs and improving the level of automatic diagnosis

Inactive Publication Date: 2015-04-08
STATE GRID CORP OF CHINA +2
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Problems solved by technology

Although this method is simple and fast, because the measuring device adopts single-point sampling, the airflow at the outlet is unstable and unevenly distributed, and it is difficult to grasp the representative installation position of the sample gas collection probe, and the flue gas at the outlet is a high-temperature, high-dust substance. Measuring instruments are easily corroded and clogged, therefore, it is difficult to guarantee the accuracy of the concentration measurement of nitrogen oxides at the outlet

Method used

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  • Method for predicting nitrogen oxide emission concentration of coal-fired unit based on neural network
  • Method for predicting nitrogen oxide emission concentration of coal-fired unit based on neural network
  • Method for predicting nitrogen oxide emission concentration of coal-fired unit based on neural network

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Embodiment

[0085] Select a 600MW class coal-fired thermal power unit, the unit is rated load 600MW, supercritical, SCR type, double flue denitrification unit, the calculation process is as follows:

[0086] Table 1 shows the actual measurement data of the SCR device A side of the plant at 16-24 o'clock on April 25, 2014 (actually, the data is collected every 5 minutes, and some data are omitted here).

[0087] Table 1 The measured data of A side of SCR device in a factory

[0088]

[0089]

[0090] Table 2 shows the actual measurement data of the SCR device B side and the outlet of the plant at 16-24 o'clock on April 25, 2014 (actually, the data is collected every 5 minutes, and some data are omitted here).

[0091] Table 2 The measured data of side B of SCR device in a certain factory

[0092]

[0093]

[0094] According to the method of the present invention, firstly the sample data is preprocessed, and according to the measured data in Table 1 and Table 2, the thresholds ...

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Abstract

The invention discloses a method for predicting nitrogen oxide mission concentration of a coal-fired unit based on the neural network. The method includes preprocessing key operation parameter unit load, NOx conversion concentration and smoke temperature of SCR (selective catalytic reduction) entry, ammonia spraying flow and NOx conversion concentration of an exhaust port, establishing a BP neural network, using the unit load, the NOx conversion concentration and the smoke temperature of the SCR inlet and the ammonia spraying flow as input values, and using the NOx conversion concentration of the exhaust port as output values to obtain prediction value of the nitrogen oxide emission concentration of the coal-fired unit. By the method, workload of operators is greatly reduced, and maintenance cost is reduced.

Description

technical field [0001] The invention relates to a method for predicting the emission concentration of nitrogen oxides of a coal-fired unit based on a neural network, and belongs to the technical field of industrial coal-fired monitoring. Background technique [0002] At present, measuring devices are usually arranged at the exhaust outlet of thermal power units to analyze the exhaust gas composition and obtain the concentration of nitrogen oxides at the exhaust outlet. Although this method is simple and fast, because the measuring device adopts single-point sampling, the airflow at the outlet is unstable and unevenly distributed, and it is difficult to grasp the representative installation position of the sample gas collection probe, and the exhaust gas is a high-temperature and high-dust substance. Measuring instruments are easily corroded and clogged, so it is difficult to guarantee the accuracy of nitrogen oxide concentration measurement at the outlet. Contents of the i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G06N3/02
Inventor 周春蕾代家元张友卫王林王明许国强孙彬王其祥高进魏威刘成佘国金周志兴
Owner STATE GRID CORP OF CHINA
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