2019 Pittsburgh AISTech

Development and Application of Intelligent Optimal Scheduling System for the Byproduct Gas in Steel Plants (Room 320)

06 May 19
4:30 PM - 5:00 PM

Tracks: Energy & Utilities

The comprehensive utilization of byproduct gases is significant for energy savings within the steel industry. In this paper, the short-term prediction model of gas generation and consumption concerning process-influencing factors and operation variations is built based on the analysis of the characteristics of byproduct gas generation and consumption. On this basis, the optimal scheduling model of gas is established, with the goal of minimizing the cost and optimizing the energy efficiency. Mass and energy balance and operation limits are considered as constraint conditions. The study can provide theoretical support for the intelligent and efficient management of the byproduct gas.