Modeling of Electric Smelting Furnaces for Ironmaking: A Review

The electric smelting furnace (ESF) is a crucial technology for decarbonizing steelmaking and ironmaking, especially as the industry shifts toward processing iron ores with higher gangue content. Building on the discussion presented in the introductory paper [ 1 ], the present paper reviews commercially available direct reduced iron (DRI) smelting technologies, heat losses due to radiation, mass and energy balance modeling, and various modeling approaches for studying ESF furnaces. Mass and energy balance modeling of an ESF model showed that every 1.0 wt % increase in carbon increased energy demand to 10 kWh/tHM at 1500 °C [ 2 ]. Every 1.0 wt % increase in the gangue increased the specific energy consumption (SEC) by 13–20 kWh/tHM, depending on the metallization ratio (MR). Every 1.0 wt % increase in MR also decreased the SEC by an average of 12 kWh/tHM [ 2 ]. A review of ESF modeling showed that understanding the arc and plasma in an electric smelting furnace is crucial for accurately evaluating heat transfer processes within the furnace. Furthermore, a clear insight into the various heat transfer mechanisms—such as Joule heating, convective heat transfer, radiative losses, and conductive heat losses—is important for effectively controlling and improving furnace energy efficiency. While there is extensive modeling work on the performance and efficiency of submerged arc furnaces (SAFs) and electric arc furnaces (EAFs), independent studies on open slag bath furnaces (OSBFs) are limited. There is a need to model the brush arc of OSBF furnaces and how heat is distributed across different parts of the process.

Authors

Institutions

Publication Details

Journal
Journal of Sustainable Metallurgy
Published
2026-08-14
DOI
https://doi.org/10.1007/s40831-026-01575-z
Primary Topic
Iron and Steelmaking Processes
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling of Electric Smelting Furnaces for Ironmaking: A Review

Shabnam Sabah, Adrien Guiraud, Banty Kumar, M. A. Rhamdhani et al.
Journal of Sustainable Metallurgy
Iron and Steelmaking Processes
article

Modeling of Electric Smelting Furnaces for Ironmaking: A Review

Shabnam Sabah, Adrien Guiraud, Banty Kumar, M. A. Rhamdhani, Ujwal Kudaru, Geoffrey Brooks, Kwaku Owusu, Chunlin Chen
article en

Abstract

The electric smelting furnace (ESF) is a crucial technology for decarbonizing steelmaking and ironmaking, especially as the industry shifts toward processing iron ores with higher gangue content. Building on the discussion presented in the introductory paper [ 1 ], the present paper reviews commercially available direct reduced iron (DRI) smelting technologies, heat losses due to radiation, mass and energy balance modeling, and various modeling approaches for studying ESF furnaces. Mass and energy balance modeling of an ESF model showed that every 1.0 wt % increase in carbon increased energy demand to 10 kWh/tHM at 1500 °C [ 2 ]. Every 1.0 wt % increase in the gangue increased the specific energy consumption (SEC) by 13–20 kWh/tHM, depending on the metallization ratio (MR). Every 1.0 wt % increase in MR also decreased the SEC by an average of 12 kWh/tHM [ 2 ]. A review of ESF modeling showed that understanding the arc and plasma in an electric smelting furnace is crucial for accurately evaluating heat transfer processes within the furnace. Furthermore, a clear insight into the various heat transfer mechanisms—such as Joule heating, convective heat transfer, radiative losses, and conductive heat losses—is important for effectively controlling and improving furnace energy efficiency. While there is extensive modeling work on the performance and efficiency of submerged arc furnaces (SAFs) and electric arc furnaces (EAFs), independent studies on open slag bath furnaces (OSBFs) are limited. There is a need to model the brush arc of OSBF furnaces and how heat is distributed across different parts of the process.

Journal of Sustainable Metallurgy
Commonwealth Scientific and Industrial Research Organisation (AU), Mineral Resources (AU), Australian Resources Research Centre (AU), Cooperative Research Centre for Tissue Growth and Repair (AU), Swinburne University of Technology (AU)
Australian Government
Openalex Percentile: Top 18%
Iron and Steelmaking Processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.