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

A global optimization method for ultra-low emission multi-pollutant cooperative removal system

A discharge system and global optimization technology, applied in chemical instruments and methods, separation methods, design optimization/simulation, etc., can solve problems such as large operation fluctuations and high pollutant removal costs

Active Publication Date: 2019-03-15
ZHEJIANG UNIV
View PDF7 Cites 29 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problems that the pollutant removal equipment of the existing ultra-low emission system is independent of each other, the operation fluctuates greatly, and the cost of pollutant removal is high, the invention proposes an ultra-low emission and multi-pollutant collaborative removal with variable fuel and variable load. A global optimization method for removing the system

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 global optimization method for ultra-low emission multi-pollutant cooperative removal system
  • A global optimization method for ultra-low emission multi-pollutant cooperative removal system
  • A global optimization method for ultra-low emission multi-pollutant cooperative removal system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0134] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but the scope of protection of the present invention is not limited thereto.

[0135] refer to Figure 1~3 , a global optimization method for an ultra-low emission multi-pollutant collaborative removal system, through accurate modeling of multi-device multi-pollutant collaborative removal process in an ultra-low emission system, multi-pollutants (including nitrogen oxides (NOx), Sulfur oxides (SO 2 and SO 3 ), particulate matter (PM) and heavy metals (Hg), etc.) in the multi-device generation, migration, conversion and removal process; through the cost evaluation method of global operation in the ultra-low emission system to accurately evaluate different loads, coal quality, pollution The cost of multi-pollutant emission reduction under the concentration of pollutants and operating parameters; through the global operation optimization method of...

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 relates to a global optimization method of an ultra-low emission multi-pollutant cooperative removal system, which obtains an accurate description of a multi-pollutant generation, migration, conversion and removal process in a multi-device through an accurate modeling of a multi-device multi-pollutant cooperative removal process in an ultra-low emission system. The multi-pollutant emission reduction cost under different load, coal quality, pollutant concentration and operation parameters is evaluated accurately by the global operation cost evaluation method in ultra-low emissionsystem. Minute-level planning and optimization of emission reduction of global pollution reduction devices under different emission targets are realized by global operation optimization method of multi-pollutant multi-objective and multi-operating conditions. Reliable emission reduction and side-by-side control of pollutants are ensured through advanced control methods with low emission and multi-pollutant emission meeting the standards reliably. The invention innovates the modeling, optimization and control method of the ultra-low emission system from the aspects of model, architecture and algorithm, improves the controllability and adjustability of the system, and guides the efficient, reliable and economic operation of the ultra-low emission system.

Description

technical field [0001] The invention belongs to the technical field of control of energy and environmental engineering pollution reduction devices, and in particular relates to a global optimization method for an ultra-low emission multi-pollutant collaborative removal system. Background technique [0002] my country is rich in coal resources, which can stably meet the demand for electricity for development, which determines the pattern of my country's power generation energy dominated by coal. This energy structure and traditional coal utilization methods produce a large amount of air pollutants. With the continuous development of my country's economy, the requirements for environmental protection are gradually increasing. It is the general trend for coal-fired units to implement clean production. Emissions are a developing trend. [0003] In order to meet environmental protection requirements, coal-fired power plants in my country have installed dust removal devices, and S...

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): G06Q10/04G06Q50/26
CPCG06Q10/04G06Q50/26G06Q10/0633G06Q10/0631B01D2257/404B01D2257/602B01D2251/606B01D53/501B01D53/75B01D2258/0283B01D2257/302B01D53/8625B01D2251/404B01D53/8665G06F30/18G06F30/20B01D53/60B01D53/64
Inventor 高翔郑成航黄悦琪郭一杉张涌新翁卫国吴卫红曲瑞阳刘少俊赵海涛
Owner ZHEJIANG 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