About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Energy Technologies and CO2 Management: Resource Efficient Processes
|
| Presentation Title |
Simulation of Gas Pipeline Network Operations in Iron and Steel Enterprises |
| Author(s) |
Zhongheng Chen, Yingqin Wang, Minghui Chi, Xiancong Zhao, Yafei Wu, Hao Bai |
| On-Site Speaker (Planned) |
Yingqin Wang |
| Abstract Scope |
“Safe and reliable operations, cost-benefit equilibrium, and green low-carbon transition” constitute the core philosophy of energy management systems in iron and steel enterprises. As a pivotal secondary energy resource within the industry, the safety management and efficient utilization of byproduct gas emerge as critical components of energy governance. Addressing the core energy management goals of safety, cost-effectiveness, and low-carbon transition in steel production, this study focuses on the dynamic blast furnace gas (BFG) network at a Hebei steel plant. To enable precise digital twin-based management and reduce fugitive emissions, a mathematical model of the dendritic pipeline network was developed using graph theory (incidence/circuit matrices) and fluid mechanics (mass/energy conservation, resistance laws). Validated through real plant data, the model achieved high accuracy, with relative errors between calculated and measured parameters maintained within 6%. This provides a foundation for optimal distribution and utilization of BFG. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Other, Other, Other |