A life prediction method for scr denitrification catalyst based on massive operating data

Abstract

The invention discloses an SCR denitration catalyst life prediction method based on mass running data; the SCR catalyst life is obtained through analysis of coal-fired power plant denitration system industrial process data, and the SCR denitration catalyst life prediction method specifically includes the following steps: firstly, obtaining history running data from a DCS data source system, finishing original data into a sample set according to time labels, filtering data with unchanged numerical value, wild point data and ultralimit data, and filtering the non-stationary state of the data; then, filtering influence of working condition hybridity by using a working condition cutting and data loading method; next, discretizing the sample set according to the time, and extracting and calculating the relationship of the ammonia nitrogen molar ratio and the denitration efficiency; and finally, excavating a degradation law of the catalyst performance along with time series by using an analysis model, and predicting the residual life of the catalyst according to a reloading criterion and field actual flue gas conditions. Through data integration and analysis of the actual running performance of the catalyst with the same type units and similar running conditions, the catalyst life management characteristic function can be established in a larger data set.

Description

technical field [0001] The invention relates to the technical field of life management of SCR denitration catalysts, in particular to a method for predicting the life of SCR denitration catalysts based on massive operating data. Background technique [0002] Selective catalytic reduction (SCR) is a mature and efficient tail gas denitrification technology, which is widely used in coal-fired power plant systems at home and abroad. It uses a reducing agent (urea or liquid ammonia NH3) to reduce NOx in the flue gas into pollution-free N2 and H2O under the action of a catalyst. This reaction needs to occur on the surface of the catalyst, so in the SCR flue gas denitrification system, the catalyst is one of the most important components, its performance directly affects the denitrification effect of the SCR system, and the catalyst is also the most expensive part of the SCR system. It accounts for 30% to 50% of the total system cost. The actual performance of the catalyst is oft...

AI Technical Summary

Problems solved by technology

Currently, such measuring points are only used to monitor and control the process data of the denitrification system. Due to the influence of online detection technology, the detection items do not include catalyst activity, and lack the ability to monitor catalyst life.

On the other hand, the catalyst manufacturer will arrange a test block in the catalyst. When the catalyst activity needs to be tested, the test block or the catalyst sample collected on site will be taken out and sent to a special laboratory for testing. However, due to the fact that the current domestic units generally run continuously for a long time, and according to the regulations of the Ministry of Environmental Protection, once the unit is in operation, the SCR system must be put into operation. Therefore, the number of catalyst samples is not actually tested. Not much is known about the activity and wear, and the off-line activity detection cycle of the catalyst does not match the maintenance cycle of the unit

In addition, not only the simulated flue gas environment in the laboratory is different from the actual flue gas environment on site, but also the activity of the catalyst sampling sample cannot represent the activity of the entire catalyst layer.

Therefore, there are still deficiencies in the catalyst life-cycle management method based on traditional detection technology.

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