Coal blending combustion optimization decision-making method based on real-time carbon emission monitoring of thermal power generating unit

A technology of thermal power units and decision-making methods, applied in the direction of neural learning methods, predictions, instruments, etc., can solve the problems of rising coal consumption rate of power generation, boiler efficiency decline, etc., and achieve the effect of energy saving and cost saving

Pending Publication Date: 2022-01-04
ELECTRIC POWER RES INST OF STATE GRID ANHUI ELECTRIC POWER +1
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Problems solved by technology

Although the cost of burning coal with poor coal quality is low, it will lead to a decrease in boiler efficiency and an increase in the coal consumption rate of power generation; although the cost of burning coal with good coal quality is higher, it can improve boiler efficiency and reduce the coal consumption rate of power generation

Method used

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  • Coal blending combustion optimization decision-making method based on real-time carbon emission monitoring of thermal power generating unit
  • Coal blending combustion optimization decision-making method based on real-time carbon emission monitoring of thermal power generating unit
  • Coal blending combustion optimization decision-making method based on real-time carbon emission monitoring of thermal power generating unit

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Embodiment

[0118] According to the device for collecting real-time carbon emission data of coal-fired thermal power units, a thermal power plant collects relevant data from the flue gas discharge chimney of coal-fired thermal power units and the coal blending based on real-time carbon emission monitoring of thermal power units Combustion optimization decision-making method, for all types of coal in thermal power plants, monitor and obtain the carbon emissions of thermal power plants in the previous 14 days, the types and amounts of coal used in thermal power plants, and corresponding chemical and physical data. As shown in Table 1.

[0119] Table 1 Carbon emissions and coal consumption parameters of thermal power plants in the first 14 days

[0120]

[0121]

[0122] On the fifteenth day, the type and amount of coal used by the thermal power plant and the corresponding chemical and physical data. As shown in table 2.

[0123] Table 2 Coal Use Data of Thermal Power Plants on the Fif...

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Abstract

The invention provides a coal blending combustion optimization decision-making method based on real-time carbon emission monitoring of a thermal power generating unit. The method comprises the following steps: collecting real-time carbon emission data of a coal-fired thermal power generating unit; predicting the carbon emission of the coal-fired thermal power generating unit on that day; constructing a neural network algorithm; carrying out real-time data collection on the carbon price of a carbon emission permit trading market; according to the collected real-time carbon discharge data of the coal-fired thermal power generating unit, predicting and storing carbon emission data of the coal-fired thermal power generating unit on the same day and real-time data of the carbon price of the carbon emission permit trading market, classifying and updating in real time, optimizing the classified data through a neural network algorithm, obtaining an optimization result, and executing a coal blending combustion scheme of the coal-fired thermal power generating unit through the optimization result. According to the method, emission data and real-time carbon transaction prices are implemented in combination with the thermal power plant, the optimal coal blending combustion type combination can be easily obtained, the enterprise can obtain the maximum comprehensive benefits through the method, and a large amount of energy and a large amount of cost can be saved.

Description

technical field [0001] The invention relates to the technical field of environmental protection monitoring of coal-fired power plants, in particular to an optimization decision-making method for coal blending and blending combustion based on real-time carbon emission monitoring of thermal power units. Background technique [0002] At present, electricity production is mainly based on coal. In recent years, due to the contradiction between the supply and demand of electricity and coal, there has been a "coal shortage", which has caused instability in the quality of coal in most coal-fired thermal power plants, resulting in increased coal consumption for generating units. Reduced power generation efficiency and excessive pollutant discharge have affected the safe, civilized, economical and environmentally friendly operation of the unit. [0003] In addition, after thermal power plants participate in carbon trading, excess carbon emissions will incur costs. Thermal power plant...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N3/04G06N3/08G06Q50/06
CPCG06Q10/04G06N3/08G06Q50/06G06N3/045Y02E40/70Y02P90/84Y04S10/50
Inventor 马大卫陈剑王正风李方一王润芳张本耀杨娴余靖张其良王若民粱肖李梓楠程靖
Owner ELECTRIC POWER RES INST OF STATE GRID ANHUI ELECTRIC POWER
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