Abstract
Byproduct gases generated during steel production process are the main fuels for on-site power plants (OSPPs) in steel enterprises. Recently, with the implementation of time-of-use (TOU) power price in China, increasing attention has been paid to the collaborative scheduling between OSPPs and gasholders. However, the load shifting potential of OSPPs has seldom been discussed in previous studies. In this paper, a mixed integer linear programming (MILP)-based scheduling model is built to evaluate the load shifting potential and the corresponding economic benefits. A case study is conducted on two steel enterprises with different configurations of OSPPs, and the optimal operation strategy is also discussed.
Highlights
As one of the most energy intensive industries, the steel-making industry accounts for approximately 15% of the total electricity consumption in China [1]
Byproduct gases generated from the steel production process are the main fuels for on-site power plants (OSPPs)
The energy balance of boiler i and cycle power plants (CCPPs) k is shown in Equations (4) and (5), where f i,t production of steam (t/h) in boiler i during time period t, is equal to the constant value ai multiplied by the combustion heat (GJ/h) of the byproduct gases, ∑ f i,j,t Hj (the sum of the consumption rate j =1 (m3 /h) of three different gases in boiler i multiplied their corresponding lower heating values, as shown in Equation (4)), plus the constant value bi
Summary
As one of the most energy intensive industries, the steel-making industry accounts for approximately 15% of the total electricity consumption in China [1]. To decrease the power purchase as well as increase the reliability of power supply, plenty of on-site power plants (OSPP) are built in steel enterprises. These OSPPs can cover 40–80% of overall electricity consumption in steel enterprises, and the remaining demand is supplied by the main grid [2,3]. Few studies have been conducted on this topic He and Wang proposed a static model to evaluate the economic benefits of peak load shifting of OSPPs in the Chinese steel industry under. Zeng considered the power exchange cost with the main grid and proposed a mixed integer linear programming (MILP)-based scheduling model for a byproduct gas system.
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