ISSN: 2226-6348
Open access
In view of the problem that circulating fluidized bed (CFB) boilers of various models and different performances used by many manufacturers in China cannot meet the requirements of increasing environmental protection standards, this manuscript mainly studied the universal accurate control technology of low nitrogen combustion in CFB. By investigating the common Selective Catalytic Reduction (SCR) design characteristics of domestic manufacturers and models of fluidized beds, a simple learning artificial intelligence control technology model based on System control theory was established to control nitrogen emissions more accurately by using monitors, sensors and collectors.. Through the analysis of specific industrial operation data, it is verified that the design idea of customized transformation of low nitrogen emission CFB boiler proposed in this paper is feasible and effective.
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