Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A low-cost collaborative removal modeling and optimization method for pollutants in a coal-fired power plant

A technology for coal-fired power plants and optimization methods, which is applied in chemical instruments and methods, separation methods, electrostatic effect separation, etc. Model analysis, etc.

Active Publication Date: 2018-12-18
HANGZHOU DIANZI UNIV
View PDF9 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the process of reducing coal-fired flue gas pollutants, flue gas denitrification, desulfurization, and dust removal devices have synergistic removal effects, which belongs to the field of multi-model complex system optimization, while common pollutant removal models only consider the main pollutants of each system. Removal, there is no modeling analysis on the effect of collaborative removal of each system, and there is no effective overall collaborative treatment method, so it is difficult to achieve low-cost and efficient removal of coal-fired flue gas pollutants

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 low-cost collaborative removal modeling and optimization method for pollutants in a coal-fired power plant
  • A low-cost collaborative removal modeling and optimization method for pollutants in a coal-fired power plant
  • A low-cost collaborative removal modeling and optimization method for pollutants in a coal-fired power plant

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0095] The technical solutions of the present invention will be further specifically described below through specific embodiments and in conjunction with the accompanying drawings.

[0096]A low-cost collaborative removal modeling and optimization method for coal-fired power plant pollutants, for coal-fired power plant denitrification device SCR, dry electrostatic precipitator ESP, wet flue gas desulfurization device WFGD and wet electrostatic precipitator WESP, collect each pollutant The operating parameters and related variables of the pollutant removal device are analyzed to analyze the energy consumption and / or income generated in the process of pollutant removal, and establish the denitrification operation cost model, desulfurization operation cost model and dust removal operation cost model; establish pollutant collaborative removal The removal model includes three sub-discipline models and a system-level model; the three sub-discipline models are: denitrification sub-dis...

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

A low-cost collaborative removal modeling and optimization method for pollutants in a coal-fired power plant includes collecting operation parameters and related variable of each pollutant removal device, analyzing energy consumption and / or income generated in each pollutant removal process, and establishing operation cost models of denitrification, desulfurization and dust removal; establishing acollaborative model of pollutant removal, which includes three sub-disciplinary models and one system model. The three sub-disciplinary models are a denitrification sub-disciplinary model, a desulfurization sub-disciplinary model and a dust removal sub-disciplinary model. The objective function of the system-level model is to minimize the sum of the costs of denitrification, desulfurization and dust removal, and the objective function of each sub-discipline level is added to the system-level objective function as a penalty term. A dynamic penalty function collaborative optimization algorithmis adopted to optimize the pollutant collaborative removal model, and the operation parameters of each device that make the system operation cost lowest under the condition of meeting the emission standard are solved.

Description

technical field [0001] The invention relates to the field of emission reduction of coal-fired flue gas pollutants, in particular to a modeling and optimization method for low-cost collaborative removal of pollutants in coal-fired power plants. Background technique [0002] With the continuous improvement of environmental protection requirements, the ultra-low emission system of pollutants in coal-fired power plants (referred to as the environmental protection island) is also constantly updated and improved. In a typical environmental protection island process, key pollutant removal devices mainly include denitration devices (SCR, Selective Catalytic Reduction), dry electrostatic precipitators (ESP, Electrostatic Precipitator), wet flue gas desulfurization devices (WFGD, Wet Flue Gas Desulfurization) And wet electrostatic precipitator (WESP, Wet Electrostatic Precipitator). The SCR denitrification device uses the selective reduction function of ammonia gas on nitrogen oxides...

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): G06Q10/04G06Q50/06B01D53/50B01D53/75B01D53/86B01D53/90B03C3/017B03C3/02
CPCB01D53/502B01D53/75B01D53/8625B01D53/90G06Q10/04G06Q50/06B03C3/017B03C3/025B01D2251/404B01D2258/0283B01D2257/404B01D2257/30B01D2257/302
Inventor 郑松陈帅葛铭郑小青魏江
Owner HANGZHOU DIANZI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products