Improvement method for selective catalytic reduction flue gas denitrification and ammonia injection control system

A technology of control system and reduction method, which is applied in the field of flue gas denitrification, can solve the problems of inconsistent ammonia injection amount and theoretical ammonia injection amount, strong nonlinearity, and large hysteresis, and achieve improved stability, timeliness, and good nonlinearity The effect of mapping ability and good parallel computing ability

Active Publication Date: 2015-08-12
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Due to the hysteresis of the NOx measurement signal in the existing flue gas, the change of the coal type and the fluctuation of the load, etc., the SCR denitri...

Method used

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  • Improvement method for selective catalytic reduction flue gas denitrification and ammonia injection control system
  • Improvement method for selective catalytic reduction flue gas denitrification and ammonia injection control system
  • Improvement method for selective catalytic reduction flue gas denitrification and ammonia injection control system

Examples

Experimental program
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Effect test

Embodiment 1

[0060] The simulation experiment results of a 600MW coal-fired boiler denitrification system in variable load operation, in which Figure 2a is the change curve of boiler load with time, Figure 2b is the NOx emission concentration at the outlet of the denitrification system. The denitrification control system operates in the outlet NOx fixed value control mode, and the set outlet NOx concentration is 50ppm. It operates in two control modes: the traditional PID control mode and the optimal control mode of the present invention. from Figure 2b It can be seen from the figure that when the unit is operating with varying loads, the NOx emission concentration at the outlet of the denitrification system increases when the traditional PID control method is adopted, and will exceed the set value; however, when the control method of the present invention is adopted, the NOx concentration at the outlet of the denitrification system exceeds The probability of the set value is relative...

Embodiment 2

[0062] The simulation experiment results of a 600MW coal-fired boiler denitrification system in variable load operation, in which Figure 3a is the change curve of boiler load with time, Figure 3b is the escape amount of ammonia at the outlet of the denitrification system. The denitrification control system operates in the outlet NOx fixed value control mode, and the set outlet NOx concentration is 50ppm. It operates in two control modes: the traditional PID control mode and the optimal control mode of the present invention. from Figure 3b It can be seen that the denitrification operation control provided by the present invention can reduce the amount of ammonia escape from the denitrification system. The reason is that the control system provided by the present invention comprehensively considers various parameters affecting the denitrification efficiency, and can accurately control the amount of ammonia injection in real time, which can reduce the escape amount of ammoni...

Embodiment 3

[0064] Figure 4 A comparison of the amount of ammonia sprayed by the denitrification system of a 600MW coal-fired boiler denitrification system when the traditional PID control method and the control method provided by the present invention are used respectively during variable load operation. from Figure 4 It can be seen from the figure that when the SCR denitrification system is operated in the optimal control station control mode, the ammonia injection volume can be saved when the outlet NOx concentration standard is met.

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Abstract

The invention provides an improvement method for a selective catalytic reduction flue gas denitrification and ammonia injection control system. An optimal control station is introduced into an original flue gas denitrification and ammonia injection control system. In an optimal control station module, parameters affecting coal fired boiler NOx generation amount and an original PID controller output ammonia injection amount control signal, and a dynamic neural network, an output sensitivity method is utilized to construct neuron in hidden layer, through comprehensive learning of the PID controller and the introduced parameters, and according to the output amount of the PID controller and the introduced parameters affecting boiler NOx generation amount, integrated computation is carried out to form dynamic compensation control quantity. In denitrification and ammonia injection amount control logic, the original PID controller is taken as the main controller, and the dynamic neural network ammonia injection amount prediction controller is adopted as the revision controller so as to obtain the adjustment amount of optimal ammonia injection amount, thus promoting reliable and economical operation of the denitrification system.

Description

technical field [0001] The invention belongs to the technical field of flue gas denitrification, and in particular relates to an improved method of an ammonia injection control system for flue gas denitrification by a selective catalytic reduction method. Background technique [0002] Selective catalytic reduction (SCR) flue gas denitrification technology is currently the most widely used and most effective flue gas denitrification technology in the world. The principle of this technology is that under the action of a catalyst, ammonia gas is injected to reduce NOx in the flue gas to N 2 and H 2 O, the reducing agent is mainly liquid ammonia. SCR flue gas denitrification system is mainly composed of denitrification reactor, liquid ammonia storage tank, ammonia injector, mixer, nitrogen oxide monitoring device and control system, etc., and is installed on the flue between the boiler economizer and the air preheater . During the operation of the denitrification system, the...

Claims

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Application Information

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IPC IPC(8): B01D53/90B01D53/56
Inventor 刘松涛焦嵩鸣郑晓坤陈传敏
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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