Dynamic modeling method for combustion process of circulating fluidized bed boiler

A circulating fluidized bed and boiler combustion technology, which is applied in neural learning methods, design optimization/simulation, biological neural network models, etc. Information processing methods, real-time modeling, and adaptive effects

Pending Publication Date: 2018-12-21
YANSHAN UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

However, there are few online modeling studies on the thermal efficiency and NOx emission concentration of circulating fluidized bed boilers

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  • Dynamic modeling method for combustion process of circulating fluidized bed boiler
  • Dynamic modeling method for combustion process of circulating fluidized bed boiler
  • Dynamic modeling method for combustion process of circulating fluidized bed boiler

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Embodiment Construction

[0036] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0037] A kind of dynamic modeling method of circulating fluidized bed boiler combustion process of the present invention, its content comprises the following steps:

[0038] Step 1: Obtain the operating parameters of the boiler combustion process that mainly affect the boiler thermal efficiency and nitrogen oxide emission concentration, and record them as input data and output data.

[0039] In step 1, the input data includes: boiler load, coal feed rate, average bed temperature in the upper part of the furnace dense phase area, average bed temperature in the upper part of the left furnace dense phase area, average bed temperature in the upper part of the right furnace dense phase area, left Primary air flow at the burner inlet of the side air duct, primary air flow at the burner inlet of the right air duct, primary air temperature at the burner...

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Abstract

The invention discloses a dynamic modeling method for the combustion process of a circulating fluidized bed boiler. The dynamic modeling method comprises the following steps: the operation parametersof the combustion process of the boiler, which mainly affect the thermal efficiency of the boiler and the emission concentration of nitrogen oxides, are adjusted and recorded as input data and outputdata; Firstly, the input weights and the hidden layer thresholds of the sample incremental quantum neural network are determined according to the quantum computation rules. Then, based on the input data and the output data, the output layer weights and the weight matrix between the input layer and the output layer are calculated, i.e., the initialization model of the boiler thermal efficiency andNOx emission concentration is established. Based on the initialization model, the boiler operation parameters are collected on line, and the sample increment is calculated. The model parameters of thesample increment quantum neural network are updated in real time, including input weights and hidden layer thresholds, output weights and weights between input layer and output layer. Thus, the on-line models of thermal efficiency and NOx emission concentration are established, and the real-time modeling of boiler operating parameters is realized.

Description

technical field [0001] The invention relates to the field of complex process system control, in particular to a dynamic modeling method for the combustion process of a circulating fluidized bed boiler. Background technique [0002] At present, thermal power generation still plays a major role in electric energy supply, among which coal is the main heat supply resource. However, coal as a non-renewable energy source has become increasingly scarce with the massive consumption of thermal power generation, and a large amount of pollutants will be discharged into the atmosphere during the combustion process, such as nitrogen oxides, sulfur dioxide, dust, etc., seriously affecting the Atmospheric environment and people's lives, especially the severe smog in recent years, has something to do with the sewage discharge of thermal power plants. Therefore, improving the combustion thermal efficiency of boilers and reducing pollutant emissions are problems that thermal power enterprise...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/08
CPCG06N3/08G06F30/20
Inventor 牛培峰马云鹏
Owner YANSHAN UNIV
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