Developing a Cost Minimizing Power Load Prediction Model for Steelwork Industries

Abstract

The key issue of power systems is to match power demand and supply with the minimum gap and delay. In the steelmaking industry that is well-known for intensive power demand, multiple types of power supply sources are thus prepared. One is to use gas turbine generators consuming byproduct gases, another is to purchase power from external electricity companies, and yet another is to use in-house self-generators to prevent any interruptions. Because we have to prepare the power supply before demands are actually realized, the fuels for generators should be purchased based upon a relatively long-term plan, and redundant power should be consumed by being resold or in other ways. It is economically important to predict power load accurately for the profitability of the steelworks. A load prediction model is therefore mathematically formulated as a linear programming (LP) problem with a view to minimizing the overall power cost. A case of an actual steelmaking company in Korea is addressed to illustrate the applicability of the proposed model with some remarks.

Kinetic Modeling of the Premixed Combustion of Blast Furnace Gas and Effects of Variable Compositions

“…The calorific value of the BFG is generally low when compared with that of natural gas, methane, or hydrogen, and it is in the range of 2–10 MJ/kg. ,, Nevertheless, as BFG is produced in significant volumes in the steelmaking processes, it is an important source for energy recovery, , often in boilers for electricity generation and in the heating furnaces. BFG can be used in conventional (fuel–air), air–oxyfuel (oxygen-enriched air), or oxyfuel (oxygen) combustion systems.…”