A Review of Mathematical Programming in Integrated Iron‐ and Steelmaking

Abstract

This paper presents and reviews the current application fields of mathematical programming in integrated iron‐ and steelmaking research. Three different fields of mathematical programming applications are identified and discussed: unit operation optimization, by‐product gas distribution, and integrated system optimization and design. Based on current research activities in the iron and steel industry, development trends for mathematical programming in integrated iron‐ and steelmaking research, such as the cogeneration of chemicals aided by renewable energy grid integration, are presented.

Simulation of Methanol and Urea Production from Catalytic Conversion of Steel Mill Gases

“…In our simulations, electric power was considered to be fully available at all times, so these simulation results represent a best-case scenario. Electric power characteristics like carbon fraction or price can in principle be coupled with the chemical production (see van Beek and Sadlowski [15][16][17]), but it is clear that overall CO 2 reduction at the site will decrease with relevant CO 2 footprints applied to electric power used for hydrogen production at the water electrolysis. Thus, the on-site reduction of CO 2 strongly depends on off-site CO 2 reduction in the power mix by pushing the amount of sustainable generation.…”

Ecologic Potential for Flexible Methanol Production from Steel Mill Off‐gases

“…It is mentioned that the most suitable algorithm for operational optimization is MILP. An extensive review of mathematical programming methods in steel mills is described by van Beek .…”