Optimization method for ammonia escape of coal slime fluidized bed boiler denitration system

Abstract

The invention relates to the field of NO<x> pollutant treatment of coal-fired power plants, and discloses an optimization method for ammonia escape of a coal slime fluidized bed boiler denitration system, which mainly comprises four steps in order to solve the problem of overlarge ammonia escape amount of the coal slime fluidized bed boiler denitration system in the prior art. According to the method, the NO<x> generation amount before ammonia spraying and the NO<x> generation amount after ammonia spraying are modeled respectively by adopting neural network learning and a Lagrange interpolation method; within a prescribed period, NO<x> before ammonia spraying, NO<x> after ammonia spraying and ammonia escape are optimized through a neural network model and an SQP method respectively; predictive control is adopted to enable the primary air and secondary air and the ammonia spraying opening degree to reach the optimal values respectively, and circulation is continued; and according to themethod, the defects that the ammonia escape amount in an existing denitration system is too large and the like are overcome, the ammonia water cost is saved conveniently, the denitration efficiency is improved, a guarantee is provided for optimal control over ammonia escape in the denitration system, and the method has important significance in achieving ultralow emission of a power plant and saving resources.

Description

technical field [0001] The invention relates to the field of NOx pollutant treatment in coal-fired power plants, in particular to an optimization method for ammonia escape in a denitrification system of a coal slime fluidized bed boiler. Background technique [0002] Coal slime fluidized bed boilers will produce a large amount of nitrogen oxides (NOx) during combustion and operation. NOx is extremely harmful to the ecological environment and human health, and it is difficult to deal with. It has become one of the key pollutants to be controlled in my country. Flue gas denitrification technology is the most important treatment technology in the control measures to reduce NOx emissions at home and abroad. At present, the widely used flue gas denitrification processes mainly include: selective catalytic reduction (SCR), selective non-catalytic reduction (SNCR), SNCR-SCR combination method and some other dry denitrification technologies. [0003] The SNCR denitrification method...

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Problems solved by technology

[0004] The purpose of the patent of the present invention is to solve the shortcomings of the existing technology such as excessive ammonia escape in the denitrification system of the coal slime fluidized bed boiler. The present invention provides an optimization method for ammonia escape in the denitrification system of the coal slime fluidized bed boiler. The combination of neural network, Lagrange interpolation method and SQP (sequence quadratic programming algorithm) provides a favorable guarantee for the optimal control of ammonia escape in the denitrification system; a neural network, Lagrang A control method combining daily interpolation method and SQP. This method uses neural network learning and Lagrangian interpolation method to model the NOx generation before ammonia injection and the NOx generation after ammonia injection. , optimize NOx before ammonia injection, NOx after ammonia injection and ammonia slip through neural network model and SQP method respectively, and continuously cycle

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