About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Energy Technologies and CO2 Management: Resource Efficient Processes
|
| Presentation Title |
Theroy and practice of gasholder prediction and adjustment in iron and steel enterprise |
| Author(s) |
Xiancong Zhao, Yong Ma, Peng Zhao, Song Gao, Wei Li, Fang Guo, Pengfan Ren, Zhanxin Wu, Yingqin Wang, Minghui Chi, Zhongheng Chen, Hao Bai |
| On-Site Speaker (Planned) |
Yingqin Wang |
| Abstract Scope |
As an energy intensive industry ,the iron and steel industry contributed 12.7% of gross energy consumption in China. During the iron and steel making process, substantial amounts of secondary energy were generated. Byproduct gas served as a vital secondary energy source for steel plants. However, its generation and consumption were subjected to significant fluctuations due to multiple factors such as production schedules, process parameters, and equipment conditions. To solve this problem, gasholders were served as buffer unites for temporary gas storage. Given their limited capacity, gasholders frequently experience levels that are either too high or too low. This can lead to gas flaring or insufficient gas supply, disrupting the normal production. This paper proposed a novel gasholder prediction method which effectively integrated metallurgical mechanism models with data-driven models, enabling accurate forecasts of gasholder levels several hours ahead. This capability provides robust support for maintaining the dynamic balance of the byproduct gas system. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Energy Conversion and Storage, Machine Learning, Recycling and Secondary Recovery |