Model-free boiler combustion optical control method based on numerical optimization extremum searching

A boiler combustion and numerical optimization technology, applied in the field of energy systems, can solve problems such as difficult to achieve expected results, failure to take into account boiler economy and emissions, high temperature corrosion of water wall in the burner area, etc.

Active Publication Date: 2016-08-03
SOUTHEAST UNIV
View PDF6 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For boilers using low-nitrogen combustion technology, when the load and coal quality are relatively stable, it is easy to obtain higher boiler efficiency and lower nitrogen oxide NOx emissions by changing the operating parameters through certain combustion adjustment methods; however, due to At present, thermal power units participate in peak regulation and frequency regulation, and their load chang

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
  • Model-free boiler combustion optical control method based on numerical optimization extremum searching
  • Model-free boiler combustion optical control method based on numerical optimization extremum searching
  • Model-free boiler combustion optical control method based on numerical optimization extremum searching

Examples

Experimental program
Comparison scheme
Effect test

Embodiment example 1

[0041] A model-free boiler combustion optimization control method based on numerical optimization extreme value search algorithm is used to solve the combustion optimization problem of a certain type of power plant boiler. For the sake of illustration, only the optimization of three layers of secondary air is considered. This case can be easily generalized to consider more optimization variables. Specific steps are as follows:

[0042] 1. Calculate performance indicators

[0043] The essence of combustion optimization is to improve boiler thermal efficiency on the basis of reducing NOx emissions, which is a multi-objective optimization problem. Here, the weighting factor is used to transform the multi-objective optimization problem into a single-objective problem, and then through different combinations of weights, different optimization solutions are obtained to provide support for optimization decisions. The mathematical description of the optimization problem including t...

Embodiment 1

[0055] Embodiment 1 utilizes the present invention to optimize the result such as Figure 3a and Figure 3b As shown, the boiler efficiency has been slightly increased from 94.69% to 94.78%, and the NOX emission has been greatly reduced from 376mg / m3 to 341mg / m3, which fully exerts the efficiency of the low-nitrogen combustion system and saves energy for power plant boilers. To reduce emissions, it is of great significance to achieve optimal combustion and emissions.

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 model-free boiler combustion optical control method based on numerical optimization extremum searching. The model-free boiler combustion optical control method based on numerical optimization extremum searching includes the steps that 1, the boiler efficiency eta (j) of a boiler combustion system and the nitric oxide emission value NOx (j) at all moments in a time window from the moment (k-n) to the moment k are collected, and an allowable error epsilon is set; 2, the average value eta of the boiler efficiency and the average value NOx of the nitric oxide emission value within the time window from the moment (k-n) to the moment k are worked out, and eta and NOx are used as the boiler efficiency and the nitric oxide emission value of the current moment k; 3, the boiler efficiency eta and the nitric oxide emission value Nox of the current moment k are subjected to normalization, and a single-goal function J(k) is worked out; 4, the change gradient gk of performance indexes along all layers of operation quantities; 5, the search direction dk is worked out; 6, the step length factor ak is worked out; 7, the operation quantity ui(k+1) to be optimized the next moment is worked out; and 8, the steps 2-7 are conducted repeatedly till algorithm convergence, and then the optimal operation quantity is obtained.

Description

technical field [0001] The invention belongs to the field of energy systems, and in particular relates to a model-free boiler combustion optimization control method based on numerical optimization extreme value search. Background technique [0002] With the emphasis on improving the quality of the atmospheric environment and protecting the ecological environment, the country's standards for pollutant discharge from power plant boilers are becoming more and more stringent. For example, my country's latest emission standards require that the NOx emission concentration of coal-fired power plants should be lower than 100mg / Nm 3 . [0003] At present, measures to control nitrogen oxides NOx emissions can be roughly divided into two categories. The first category is to reduce newly formed nitrogen oxides NOx during the combustion process, including various low-nitrogen combustion technologies, such as low-nitrogen burners, air staged combustion , fuel staged combustion, etc.; th...

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
IPC IPC(8): F23N5/00
CPCF23N5/003
Inventor 沈奇李益国沈炯刘西陲吴啸
Owner SOUTHEAST UNIV
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