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Online detecting, soot blowing and optimal energy-saving method for large coal-fired boiler

A coal-fired boiler, a large-scale technology, applied in the direction of radiation pyrometry, boiler working status indication, measuring device, etc., can solve the problem of lack of online detection of supercritical boiler heating surface cleaning, inability to accurately calculate the heat transfer characteristics of the heating surface, difficult Achieve optimization of soot blowing and other issues

Inactive Publication Date: 2007-09-12
SHANGHAI POWER EQUIP RES INST
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AI Technical Summary

Problems solved by technology

[0004] In China, there is still a lack of accurate means to truly realize the online detection of supercritical boiler heating surface cleanliness. The current online monitoring is based on the calculation of boiler heat balance. The online parameter calculation of coal-fired boilers requires regular input of coal-fired analysis data. Due to the lack of reheating steam Therefore, the reheat steam flow rate is calculated according to a given ratio of the main steam flow rate, and the heat transfer characteristics of each section of the heating surface cannot be accurately calculated. Therefore, the boiler usually implements regular soot blowing every shift, regardless of the cleanliness of the heating surface, so that Difficult to achieve optimized soot blowing

Method used

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  • Online detecting, soot blowing and optimal energy-saving method for large coal-fired boiler
  • Online detecting, soot blowing and optimal energy-saving method for large coal-fired boiler
  • Online detecting, soot blowing and optimal energy-saving method for large coal-fired boiler

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Embodiment

[0114] As shown in Figure 1, it is a program flow chart of a large-scale coal-fired boiler on-line detection, soot blowing optimization and energy-saving method. When the present invention is applied to the first 900MW supercritical boiler, the data used in this system are all taken from Waigao The pi database of Qiao No. 2 Power Plant is collected as follows:

[0115] The first step. Use the power plant DAS system to collect boiler dynamic data

[0116] a) The power plant provides the collection of dynamic online data required for system calculation. According to the corresponding kks number, provide the user name and password of the pi system under the ip connection parameters to obtain: main and reheat steam flow and outlet pressure, temperature and superheaters of each section, Reheater and economizer heating surface inlet and outlet medium pressure, temperature, feed water flow; cold air temperature, air preheater inlet air temperature, secondary hot air temperature, exha...

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Abstract

This invention relates to a energy-saving method of large coal burning boiler's on-line measuring and soot blowing optimizing. The feature lays: the invention takes new developed HTAS procedure as main, combine with TTURTHERM procedure and infrared fume pyroscope, to form a integrated system that is able to accuracy and significance monitor and count large boiler heating surface cleanness degree, so to realize soot blowing-optimizing and energy-saving.

Description

technical field [0001] The invention relates to an online detection and soot blowing optimization energy-saving method for a large coal-fired boiler, which can be used in a 600-1000MW supercritical tower boiler and belongs to the technical field of on-line detection and soot blowing of a large coal-fired boiler. Background technique [0002] In power plants, coal-fired boilers are prone to ash during operation, which affects the output of the boiler. Generally, soot blowers are used for soot blowing. The energy saving of large boilers is of great significance. For example, when the 900MW supercritical boiler is fully output, every second It consumes nearly 100 kg of steam coal, so the heating surface of the boiler can be kept clean during operation, so that the heat generated by coal combustion can be transferred to the working medium as much as possible and in an orderly manner, and the operating parameters of the boiler should be within the optimal value range. Energy effi...

Claims

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Application Information

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IPC IPC(8): G01J5/00F22B37/38G06F17/50
Inventor 李道林陈国雄陈明强
Owner SHANGHAI POWER EQUIP RES INST
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