Natural gas real-time calorific value prediction and analysis device and method

Abstract

The invention provides a natural gas real-time calorific value prediction and analysis device and method. The device comprises a calorific value detection module (1), a prediction and analysis module(3) and a fault diagnosis and emergency treatment module (5). The detection input end of the calorific value detection module (1) can collect the set data of the natural gas to be predicted. The output end of the calorific value detection module (1) is connected with the input end of the prediction and analysis module (3). The output end of the prediction and analysis module (3) is connected witha set natural gas control system. The input end of the fault diagnosis and emergency treatment module (5) can respectively collect the input end data and the output end data of the prediction and analysis module (3). The output end of the fault diagnosis and emergency treatment module (5) is connected with the set natural gas control system and / or a fault alarm module. The device can reduce the staffing, improve the stability of the gas turbine power station, increase the operation reliability of the power station and improve the benefit of the power station.

Description

technical field [0001] The present invention relates to the technical field of natural gas calorific value acquisition, in particular to a real-time natural gas calorific value prediction and analysis device and method, and in particular to an aeroderivative gas turbine natural gas calorific value acquisition and prediction output device and calorific value data prediction and analysis method. Background technique [0002] Aeroderivative gas turbines based on natural gas as fuel are the main mechanical and electrical devices in the current 30MW and 50MW distributed generator systems. In the place where the aeroderivative gas turbine power station system is used, due to the complex source of natural gas composition, the calorific value parameters change at different time periods, and the calorific value data of natural gas is very important in the operation of the power station, and the stability of the calorific value data is important for gas turbines. It plays a very impor...

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Problems solved by technology

This kind of scheme leads to waste of power plant operation and maintenance professionals. At the same time, due to human fatigue, it is easy to cause human numerical input errors, and artificially predicted data errors may cause hidden dangers of gas turbine accidents.

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