A method for predicting NOx emission concentration in SCR system based on time delay estimation

A technology of SCR system and emission concentration, which is applied in the field of NOx emission concentration prediction of SCR system based on time delay estimation, which can solve the problems of lag in concentration measurement, complex reaction process and inaccuracy.

Pending Publication Date: 2019-01-11
DATANG ENVIRONMENT IND GRP
View PDF3 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The object of the present invention is to provide a kind of SCR system NO based on delay estimation x Emission concentration prediction method to solve the complex reaction process and NO x There is lag and inaccuracy in concentration measurement, which improves the control effect of ammonia injection

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method for predicting NOx emission concentration in SCR system based on time delay estimation
  • A method for predicting NOx emission concentration in SCR system based on time delay estimation
  • A method for predicting NOx emission concentration in SCR system based on time delay estimation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] The present invention will be described in further detail below through specific embodiments and in conjunction with the accompanying drawings.

[0057] Such as Figure 1-2 As shown, the delay estimation-based SCR system NO described in the embodiment of the present invention x The emission concentration prediction method, through the analysis of the flue gas generation of coal-fired units and the mechanism of the SCR system, determines the NO x input variables for emission concentration prediction models; in order to reduce system hysteresis and NO x Measure the influence of time delay, collect the operating data of related variables, use the correlation coefficient iterative method to estimate the time delay of the input variable, and reconstruct the phase space of the sample; on the basis of the reconstructed sample, use the kernel partial least square method to establish the NO x Emission concentration prediction model to improve the accuracy of the prediction mod...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for predicting NOx emission concentration in a SCR system based on time delay prediction, which comprises the following steps: determining the input variables of a NOxemission concentration prediction model by analyzing the flue gas generation of a coal-fired unit and the mechanism of the SCR system; collecting and preprocessing the running data of correlation variables, estimating the time delay and reconstructing the sample phase space by using correlation coefficient iterative method; on the reconstructed samples, using the kernel partial least square method used to establish the dynamic model. The NOx concentration value of the dynamic model correction output is fed back to the controller in advance to improve the existing ammonia injection control system. The invention has the advantages that the prediction model comprehensively learns the relevant information of the NOx concentration at the outlet; the kernel partial least square method is used to improve the prediction ability. The NOx concentration at the outlet can be predicted in advance by reconstructing the phase space of the model sample. If there is a big difference between the modelsample and the set value, the model sample can be adjusted by ammonia injection in time, which has a guiding significance for reducing the pollutant emission and cost of coal-fired units.

Description

technical field [0001] The invention relates to the technical field of flue gas denitrification of coal-fired units, in particular, to an SCR system NO x Emission Concentration Prediction Methods. Background technique [0002] With the increasingly prominent problem of air pollution, the emission of air pollutants from thermal power units in my country has been strictly regulated. traditional low NO x Combustion control is difficult to meet the emission standards, and it needs to cooperate with the tail flue gas denitrification device. SCR flue gas denitrification technology has been widely used at home and abroad, and the most important thing is the control of the ammonia injection system. The amount of ammonia injection can usually achieve better results through control under stable working conditions, but the control effect can be achieved when the unit operating conditions change, such as coal type replacement, unit AGC (Automatic Generation Control, automatic generati...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G16C20/10
CPCG06Q10/04
Inventor 孟磊闫来清陈荣敏谷小兵江澄宇张悦孙明马务宁翔
Owner DATANG ENVIRONMENT IND GRP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products