A Calculation Method of Boiler Efficiency Self-calibration Based on Flue Gas Test

Abstract

The invention discloses a boiler efficiency self-correction computing method based on flue gas testing. The boiler efficiency self-correction computing method comprises the following steps: (1) transmitting all primary measurement signals of a unit to a built data platform through Internet network in real time, carrying out online monitoring, and processing the data on the platform to obtain and compute parameters required by the boiler efficiency; (2) conducting online flue gas testing, transmitting the data signals to the data platform through the Internet network in real time, and processing the data; (3) meanwhile, from the aspect of positive balance and negative balance, regarding the acquired primary measurement values, secondary parameters obtained by computing the primary measurement values and parameters obtained by the field flue gas testing as known quantities, and establishing a boiler efficiency real-time monitoring mathematical model. The method is simple, convenient, feasible and suitable for variable coal quality operation conditions, and realizes real-time online measurement and self-correction of boiler thermal efficiency, fire coal analysis, fire coal calorific value and various heat losses of the boiler.

Description

technical field [0001] The invention belongs to the technical field of energy saving of coal-fired boilers, and in particular relates to a boiler efficiency self-calibration calculation method based on flue gas testing. Background technique [0002] At present, coal is the main body of China's energy and the main power fuel. The cost of coal in thermal power plants accounts for about 80% of the cost of power generation, and the elemental composition of coal affects the combustion characteristics. Because the operating state of the unit is designed according to the design coal type, the change of coal type will cause the boiler operating state to deviate from the design value, which will affect the safety and economy of the unit. The monitoring of coal element content and calorific value of power plant boilers has always been a difficult problem. Most power plants do not have the conditions for online real-time measurement of coal quality. The detection methods for coal qua...

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Problems solved by technology

Most power plants do not have the conditions for online real-time measurement of coal quality. The detection methods for coal quality in the furnace are basically still at the level of manual sampling, sample preparation, and testing. There are serious lags and sampling errors. How to grasp it in the first place The change of coal quality and the online adjustment of various operating parameters to better guide the combustion of the boiler are problems that we urgently need to solve

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