Optimization Models For Operation Of A Steam Power System In Integrated Iron And Steel Works

The steam power system (SPS) is one of the most significant contributors to the energy consumption and pollutant emissions in integrated iron and steel works. In this study, a mixed-integer nonlinear programming (MINLP) model is developed to solve the problem of surplus byproduct gas utilization and reduce the economic operation cost (EOC) of the system. Fluctuations of surplus byproduct gas, dynamic demand of steam and electricity, time-of-use power price, and production safety constraints are also considered. The models have been verified by actual production data of the iron and steel works. Based on the MINLP, the results show that the reasonable use of heat value constraint will improve the utilization rate of the BFG and reduce the EOC, and the effect of equipment maintenance is discussed. The reasonable use of the heat value constraint is also discussed in the MINLP, which is helpful to improve the utilization rate of BFG and reduce the cost of economic operation.