Bibliographic Details
| Title: |
PARAMETRIC INVESTIGATION ON THE MEASUREMENT ACCURACY OF DIFFERENTIAL PRESSURE SYSTEM FOR NUCLEAR POWER PLANT STEAM GENERATOR. |
| Authors: |
ZHOU, ShengWen1, LI, ZhengGang1, ZHU, Ying1, LI, XiuChen1, XIE, MaoLong1 373969710@qq.com |
| Source: |
Thermal Science. 2026, Vol. 30 Issue 1B, p697-706. 10p. |
| Subjects: |
Differential pressure flowmeters, Steam generators, Sensitivity analysis, Flow measurement, Nuclear power plants, Computer simulation |
| Abstract: |
Steam generator is an important equipment of nuclear power unit, and its flow rate is directly related to the operating power of the unit. Accurate flow measurement and monitoring is an effective prerequisite to ensure stable and long-term operation of the unit. However, when the pressure taking system is used to measure the steam-flow rate, the phenomenon that the flow indication number is abnormal but the actual flow rate does not change occasionally often occurs, which affects the normal production operation. Based on the principle of differential pressure method, this study studied the influence of flow resistance and flow characteristics of waveform plate steam separator, an important part of steam generator, on flow measurement, and completed the analysis of waveform plate flow field and the establishment of benchmark model through numerical simulation. The uncertainty quantization method based on Morris One at A Time (MOAT) was used to analyze the sensitivity of the deviation factors affecting the accuracy of flow measurement at the waveform plate. By comparing MOAT mean and MOAT standard deviation, it is found that the assembly inclination angle of the corrugated plate is the most important factor affecting the measurement accuracy of flow rate, and should be the key check item during the maintenance of steam generator. [ABSTRACT FROM AUTHOR] |
|
Copyright of Thermal Science is the property of Society of Thermal Engineers of Serbia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |