Thermal Power Generation
|
2023, 52(1): 74-82
• Thermal energy science research •
Optimization of main steam temperature deviation on both sides of supercritical 600 MW opposed firing boiler based on hydrodynamic model of flow network method
Full
Songshan LI
1, Wen TANG
2, Xinyu NING
2, Jun YIN
1, Wenlong YAN
1, Zhenkun WU
2, Zhongxuan LIU
2, Long JIANG
3, Meng ZHU
3, Jun XIANG
3
Affiliations
- 1.Huanggang Dabieshan Power Generation Company Ltd., Macheng 438304, China
- 2.China Power Huachuang (Suzhou) Electricity Technology Research Company Ltd., Suzhou 215000, China
- 3.State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, China
Published: 2023-01-25
doi: 10.19666/j.rlfd.202205088
Outline
By taking a supercritical 600 MW opposed firing boiler as the research object, the temperature deviation law of main steam on both sides is analyzed and verified through hydrodynamic modeling, and a technical scheme is put forward to optimize the temperature deviation of main steam from the perspective of water side. After adopting this steam temperature optimization scheme, the main steam temperature deviations on both sides of the boiler reduced by 44.6%, 95.8% and 28.0% respectively under 50%, 75% and 100% BRL conditions. This scheme can realize safe and economical operation of the unit, and has good guidance and reference value for the same type of boiler.
hydrodynamic
/
supercritical boiler
/
opposed firing
/
steam temperature deviation
/
flow network method
李松山, 唐文, 宁新宇, 尹军, 严文龙, 吴震坤, 刘忠轩, 江龙, 朱萌, 向军.
基于流动网络法水动力模型优化超临界600 MW对冲锅炉两侧主蒸汽温度偏差研究.
热力发电,
2023
, 52
(1)
: 74
-82
.
DOI: 10.19666/j.rlfd.202205088
Songshan LI, Wen TANG, Xinyu NING, Jun YIN, Wenlong YAN, Zhenkun WU, Zhongxuan LIU, Long JIANG, Meng ZHU, Jun XIANG.
Optimization of main steam temperature deviation on both sides of supercritical 600 MW opposed firing boiler based on hydrodynamic model of flow network method[J].
Thermal Power Generation,
2023
, 52
(1)
: 74
-82
.
DOI: 10.19666/j.rlfd.202205088
- National Natural Science Foundation of China(U20A20303)
- Science and Technology Project of State Power Investment Corporation(SZHC-JY-20210401)
Year 2023 volume 52 Issue 1
317
85
Cite this Article
BibTeX
Article Info
doi: 10.19666/j.rlfd.202205088
- Receive Date:2022-05-09
- Online Date:2026-01-23
- Published:2023-01-25