Paper
7 September 2023 Sensitivity analysis of steam turbine unit real-time data based on energy consumption characteristics
Xiaofeng Chen, Ning Zhao, Gang Zhou
Author Affiliations +
Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127905A (2023) https://doi.org/10.1117/12.2690111
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China
Abstract
Taking N630-24.2/566/566 turbine unit of Shanghai Turbine Plant as the research object, the sensitivity analysis of realtime data of turbine unit under sliding pressure conditions of THA, 75%THA, 50%THA, 40%THA and 30%THA was carried out by using the calculation method of constant The sensitive factors of each parameter to energy consumption under different working conditions are calculated by Delphi The results show that the thermal economy of the unit can be effectively improved by ranking the energy consumption sensitivity of the The results show that the thermal economy of the unit can be effectively improved by ranking the energy consumption sensitivity of the measuring point parameters according to the size of the sensitive factors, focusing on the parameters of the measuring point with strong energy The results show that the thermal economy of the unit can be effectively improved by ranking the energy consumption sensitivity of the measuring point parameters according to the size of the sensitive factors, focusing on the parameters of the measuring point with strong energy consumption sensitivity and making corresponding adjustments in time.
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Xiaofeng Chen, Ning Zhao, and Gang Zhou "Sensitivity analysis of steam turbine unit real-time data based on energy consumption characteristics", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127905A (7 September 2023); https://doi.org/10.1117/12.2690111
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KEYWORDS
Temperature metrology

Turbines

Design and modelling

Data modeling

Analytical research

Power supplies

Computer programming

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