Method for predicting shaft power of industrial extraction condensing steam turbine

Abstract

The invention provides a method for predicting shaft power of an industrial extraction condensing steam turbine, which bases on a thermodynamic model of the extraction condensing steam turbine. Considering that the steam turbine is affected by environmental temperature, condensed water flow, temperature, and other unknown factors in practical industrial application process, the influences of changes of parameters such as quality of cooling water, steam inlet quality of main steam, extraction pressure and the like on the extraction quality and the discharging quality of the extraction condensing steam turbine are introduced according to practical industrial data; by adopting a neural network regression method, the practical condensing pressure and the extraction temperature of the extraction condensing steam turbine in industrial application can be worked out; subsequently the practical extraction and discharging enthalpy value of the extraction condensing steam turbine is obtained by the calculation according to industrial standard IAPWS-IF97 of water and steam; subsequently the practical shaft power output of the steam turbine is calculated according to the thermodynamic method; therefore, the direct estimating on the entropy efficiency of the steam turbine is avoided, the prediction precision on the shaft power of the industrially-applied steam turbine is improved, and foundation and basis are provided for the optimizing and the rebuilding and the like of a public engineering system.

Description

technical field [0001] The invention relates to a method for predicting shaft power, in particular to a method for predicting shaft power of an industrial steam extraction condensing steam turbine. Background technique [0002] The steam turbine is the main steam-consuming equipment of the steam pipe network system of industrial installations. The accurate prediction of its shaft power is the basis for evaluating the operation efficiency of the steam pipe network, and the energy consumption of the steam pipe network is one of the main components of the energy consumption of industrial installations. Therefore, The accurate prediction of the steam turbine shaft power is the basis for improving the management level and operating efficiency of the steam pipe network, and it is the guarantee for reducing the energy consumption, energy saving and emission reduction of the device. [0003] Extraction condensing steam turbine is a machine that converts the kinetic energy of steam i...

AI Technical Summary

Problems solved by technology

In view of the fact that there are many and complex factors affecting the operation of steam turbines in industrial applications, it is difficult to accurately predict the actual output shaft power of extraction condensing steam turbines with the above-mentioned traditional methods

There are also some scholars who use support vector machine regression to fit the total efficiency of the steam turbine first, and then apply the thermodynamic method to solve the power of the condensing steam turbine, and have achieved good results, but this method only considers the condensing steam It is based on the estimation of the isentropic efficiency of the steam turbine, but there are certain difficulties in estimating the isentropic efficiency of the steam turbine used in industrial applications. Based on this There must be a large error in the prediction of shaft power

At present, there is still a lack of a method that can accurately predict the shaft power of steam turbines in industrial applications, so as to provide real-time shaft power of steam turbines for operators to monitor and judge. When the efficiency of steam turbines is low, timely repair and transformation of steam turbines or other parameters Make adjustments to improve the energy efficiency of the steam turbine, reduce the energy consumption of the device, and achieve energy saving and emission reduction

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