Boiler thermal efficiency evaluation and prediction method based on data analysis

Through data analysis methods, the boiler thermal efficiency is evaluated, and the problem of poor thermal efficiency evaluation results in aging of boiler equipment is solved, achieving more accurate thermal efficiency prediction and boiler operation health assessment.

CN119128450BActive Publication Date: 2025-03-21JIANGSU TAIHU BOILER
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Patent Information

Application Number
CN202411613162.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-11-13
Publication Date
2025-03-21
Estimated Expiration
2044-11-13

AI Technical Summary

Technical Problem

Due to the wear and aging of boilers and related equipment over time, the relationship between temperature and thermal efficiency becomes nonlinear, and it is difficult for the prior art to accurately evaluate the boiler thermal efficiency.

Method used

A boiler thermal efficiency evaluation and prediction method based on data analysis is proposed. By obtaining the real-time temperature data of the boiler system, the furnace steady-state operating coefficient, boiler health factor, pipeline heat loss coefficient and pipeline aging degree, the thermal efficiency correction factor is obtained, and the initial thermal efficiency coefficient is adjusted to obtain the updated thermal efficiency coefficient.

Benefits of technology

By more accurately capturing the slight changes and stability of furnace temperature, evaluating the dynamic response performance and stability of the boiler, reflecting the overall operating health status and heat loss of the boiler, the prediction accuracy of boiler thermal efficiency is improved.

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Abstract

The present invention relates to the technical field of boiler data processing, and in particular to a method for evaluating and predicting boiler thermal efficiency based on data analysis. The present invention obtains the time required for furnace steady-state according to the steady-state operation coefficient of the furnace at different times; obtains the boiler health factor of the real-time heating operation process according to the change characteristics of the time required for furnace steady-state of different heating operation processes within the process neighborhood of the real-time heating operation process; obtains the pipeline heat loss coefficient at the real-time moment according to the difference in temperature data between the inside and outside of the outlet water pipe at the real-time moment; obtains the pipeline aging degree at the real-time moment according to the difference between the outlet water temperature data and the return water temperature data at the real-time moment; and then obtains the pipeline heat loss factor; obtains the thermal efficiency correction factor, adjusts the initial thermal efficiency coefficient, and obtains the updated thermal efficiency coefficient. The present invention improves the prediction accuracy of thermal efficiency by obtaining the accurate thermal efficiency of the boiler at different times.
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