Home Journals Articles Updates About
CN
image
收藏切换
pH Prediction Model of Desulfurization System Based on Bi-directional Gated Recurrent Unit
收藏切换
PDF
Jia GAO1, 2, Xue-feng TIAN1, 2, Xian-yong PENG1, *, Jia-ding JIANG2, Min XU3
Science Technology and Engineering | 2025, 25(13) : 5535 - 5543
Less
收藏切换
Science Technology and Engineering | 2025, 25(13): 5535-5543
• Papers·Chemical Industry •
pH Prediction Model of Desulfurization System Based on Bi-directional Gated Recurrent Unit
Full
Jia GAO1, 2, Xue-feng TIAN1, 2, Xian-yong PENG1, *, Jia-ding JIANG2, Min XU3
Affiliations
  • 1 School of Low-carbon Energy and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China
  • 2 School of Energy Engineering, Xinjiang Institute of Engineering, Urumqi 830023, China
  • 3 China Coal Yudian (Yuhuan) Energy Development Co. , Ltd. , Taizhou 317604, China
Published: 2025-05-08 doi: 10.12404/j.issn.1671-1815.2404890
Outline
收藏切换

Aiming to address the issue of accurately measuring the slurry pH value during the operation of limestone-gypsum wet flue gas desulfurization (WFGD) system, which hinders the efficient operation of WFGD, a prediction model for FGD system pH based on bi-directional gated recirculation unit(BiGRU) has been developed. Firstly, the raw data were cleaned and normalized. Secondly, based on the maximum information coefficient analysis, 13 characteristic values were obtained as input variables and pH as output variables, and a slurry pH model was established. Finally, the model was run and the results were evaluated. Compared to LSTM and GRU, the results indicate that the mean absolute error of this mathematical model decreases by 11.95% and 24.92%, while the root mean square error decreases by 10.64% and 19.49%. Additionally, the coefficient of determination improves by 1.79% and 3.08% respectively. This demonstrates that the BiGRU-based pH predictive model exhibits high accuracy and stability, making it valuable for engineering applications and providing an important reference for predicting pH models in existing desulfurization tower systems.

limestone-gypsum wet flue gas desulfurization system  /  BiGRU  /  prediction model  /  slurry pH
Jia GAO, Xue-feng TIAN, Xian-yong PENG, Jia-ding JIANG, Min XU. pH Prediction Model of Desulfurization System Based on Bi-directional Gated Recurrent Unit[J]. Science Technology and Engineering, 2025 , 25 (13) : 5535 -5543 . DOI: 10.12404/j.issn.1671-1815.2404890
Appendix
Less
Year 2025 volume 25 Issue 13
PDF
334
134
Cite this Article
BibTeX
Article Info
doi: 10.12404/j.issn.1671-1815.2404890
  • Receive Date：2024-06-30
  • Online Date：2025-07-09
  • Published：2025-05-08
Article Data
Affiliations
History
  • Received：2024-06-30
  • Revised：2025-02-07
Funding
Affiliations
    1 School of Low-carbon Energy and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China
    2 School of Energy Engineering, Xinjiang Institute of Engineering, Urumqi 830023, China
    3 China Coal Yudian (Yuhuan) Energy Development Co. , Ltd. , Taizhou 317604, China
References
Share
https://castjournals.cast.org.cn/joweb/kxjsygc/EN/10.12404/j.issn.1671-1815.2404890
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House