CO emission forecasting system and method for garbage incineration boiler with circulation fluid bed

Abstract

The present invention discloses a CO emission forecasting system and method for a garbage incineration boiler with a circulating fluidized bed. On the basis of using a running mechanism of a garbage incineration boiler with a circulating fluidized bed and knowledge hidden in historical running data, a Gamma Test algorithm and a random forest integrated modeling method are adopted, a rapid, economic and adaptive updating system and method are constructed to perform real-time forecasting on CO emission of flue gas at the tail of a boiler, and cumbersome and complicated mechanism modeling work is avoided. A dynamic change characteristic of CO emission is characterized by using a non-linear mapping ability, a generalization ability and a real-time forecasting ability of a random forest algorithm, which provides a new approach for operators and designers to understand the change characteristic of CO emission; and the Gamma Test algorithm is used to acquire an optimal training sample, so that over-fitting and under-fitting situations of the model during training are avoided. The whole modeling process has a clear logic, needs to set fewer parameters, has high modeling automation and is easy to master and promote.

Description

technical field [0001] The invention relates to the field of energy engineering, in particular to a CO emission prediction system and method for a circulating fluidized bed domestic waste incineration boiler. Background technique [0002] Since waste incineration can well realize volume reduction, volume reduction, harmlessness and resource utilization of waste treatment technology, in the past ten years, under the guidance of relevant national industrial policies, the domestic waste incineration industry has achieved vigorous development. Since the 1990s, a number of domestic scientific research institutions have conducted a large number of in-depth studies on the combustion mechanism of municipal solid waste (MSW) in China, and have mastered the combustion characteristics of mixed collection, high moisture, and complex MSW. Based on my country's experience in the development of coal, coal gangue and other inferior fuel circulating fluidized bed (Circulating Fluidized Bed, C...

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Problems solved by technology

This method can reflect the change trend of CO emissions, but it cannot achieve sufficient accuracy due to the deviation between the assumed model and the real model; another method is based on a large number of test bench tests or field tests, through Regression analysis method to establish an empirical model on the characteristics of CO emission changes

This method requires a lot of manpower and material resources, and the time cost is high. At the same time, it cannot guarantee that the test covers all working conditions, and has certain limitations; the third method uses computational fluid dynamics, computational heat transfer and simplified mechanism of chemical reaction to simulate the furnace. The internal combustion process, which accurately solves for CO production, shows good results with great potential

However, this method is mainly limited by the gap between the simplified mechanism of the fluid dynamics model and the chemical reaction and the actual situation, and requires high-end computer configuration and long calculation time, so this method is still in the initial development stage

In addition, the uniformity of the feeding system of the CFB waste incineration boiler is poor, and the calorific value of the waste entering the furnace fluctuates greatly, the composition is complex, and the multilateralism is strong, which is one of the main difficulties in the process of CO emission modeling. It requires The established CO emission characteristic model has good self-adaptability, but the above three modeling methods are still lacking in this aspect

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