Introduction

This paper addresses the need for investments in ore beneficiation and scrap upgrading in the decades to come in order to meet demands on mitigating emissions of greenhouse gases as discussed at the AIST Scrap Supplements and Alternative Ironmaking 8, Orlando 2020 (Gyllenram et al. 2020). The theme of the conference was high-quality raw material supply for electric steel production, which is an increasingly important topic in view of the actual development in the steel industry.1.1 steel production, ore and scrap trade.

Today’s challenge and its future solutions

Of the 40,000 Mt of CO2 emitted by human activities each year, the steel industry accounts for 7-9% (World Steel Association 2018). Therefore, the international steel industry is under an immense pressure to lower its emissions of CO2. Regional goals to become carbon neutral the coming years, the EU in 2050 (EC 2019) and China in 2060 (Xi Jinping at UN General Assembly September 2020 imply that major changes must take place in the coming decades. A vast number of new technologies are being suggested, developed and evaluated to determine how improvements of all parts of the steel supply chain can be implemented (Cavaliere 2019). Common principles when making these improvements are as follows: an increased utilization of the reduction gas like top gas recycling, a reduction of the number of process steps like the HISarna smelting reduction process and replacing coal as a reductant with natural gas, hydrogen, biogenic syngas and/or biocarbon (Quader et al. 2016). In addition, carbon capture and storage, CCS, and carbon capture and utilization, CCU, are two technologies developed to avoid CO2 generated in industrial processes to contribute to global warming, which are still in an early stage of deployment but may in the future become important tools in an abatement of CO2 emissions (Tanzer et al. 2020; Acatech – Deutsche Akademie der Technikwissenschaften 2018).

BF-BOF route

In 2019, the world production of crude steel was 1867.5 Mt and the main route was the blast furnace-basic oxygen furnace route, BF-BOF, producing some 1343 Mt representing 71.9% of the total steel production (World Steel Association 2020). The main ore burden in the BF is sinter made from sinter fines. Other common burden materials are lump ore and BF pellets.

DR-EAF route

Electric steel production using scrap, direct reduced iron, DRI and other metallic raw materials was 517 Mt in 2019 representing 27.7% of the global steel production. The same year the production of DRI, used mainly in the direct reduction-electric arc furnace route, DR-EAF, was 107.6 Mt (World Steel Association 2020). The gas-based fraction of DRI production, i.e. from Midrex or HYL/Energiron processes, is around 80% (Midrex technologies Inc 2018) and can therefore be estimated to 86 Mt. The production of DRI can be compared to the production of BF pig iron, which was almost 12 times as high or 1280.7 Mt in 2019 (World Steel Association 2020). The gas-based DR-EAF route is today a well-established way to produce iron from iron ore, which results in lower CO2 emissions compared to the BF-BOF route. The DRI is either melted in an EAF plant adjacent to the DR plant or transported to other plants as either DRI or hot briquetted iron, HBI, for further processing. Since the reducing gas from natural gas contains 66% hydrogen, the CO2 emission is considerably lower compared to the use of coke or coal as a reductant. By using pure hydrogen or a biogenic synthetic reduction gas, syngas, the fossil CO2 emissions can be further reduced or even omitted.

Raw materials

The global production of iron ore products in 2019 including China was 2346 Mt whereof 1845 Mt consisted of sinter fines, lump ore and other iron ore products and the remaining 501 Mt consisted of BF and DR pellets. Figures excluding China are for the same year 2105 Mt and 361 Mt, respectively (Löf and Löf 2020). The consumption of DR pellets necessary for gas-based DRI production can be estimated to 117 Mt, when assuming an Fe content of 67.8% in the DR pellets and 92.23% in the DRI. Since little gas-based DRI production takes place in China, it can be stated that the BF-pellet consumption outside China is 244 Mt or slightly more than twice the DR-pellet production.

Whereas ore production can be increased with increasing demands, the scrap available for the steel industry is dependent on the consumption behaviour and can only to a limited degree be increased through better collection systems. However, it should be noted that the available scrap is fixed and if the demand increases too much, only ores can contribute to meet an increased demand.

Raw material quality

From an ore quality perspective, the BF-BOF route is much less sensitive to the percentage of gangue elements such as SiO2, Al2O3 and TiO2 in the feed compared to the requirements in the DR-EAF route. Most of the gangue elements are transferred into the BF slag with a volume between 150 and 300 kg/t, a basicity around 1 and an iron content typically less than 1%. The subsequent BOF receives a liquid hot metal with an Si content which normally is between 0.2 and 0.7%. Decreasing the silica input to the BF decreases the slag volume, the fuel rate, and improves the productivity. The silicon content in the hot metal is also decreased although the relationship is complex. Experiences from development at the BF plant in Luleå indicate that a practical limit for a BF pellet is a minimum SiO2 content of approximately 2%, depending on the performance in the furnace (Wikström 2020 private communication). Hooey et al. (2014) report that migration from sinter to pellets in the BF has a large potential to save energy in the BF. This implies that decreasing the silica content in BF pellets may have a lower priority. The DR process on the other hand is a solid-state reduction process and the gangue in the DR pellet stays in the DRI and enters the EAF, so high levels of gangue result in high slag amounts in the steelmaking process (Turcotte et al. 1985).

The silicon in the hot metal and silica and other gangue elements in the DRI affect the amount of slag formers that has to be added to the BOF or the EAF in order to reach MgO saturation of the slag, and the basicity is typically around 2 or more. The MgO saturation is a function of slag temperature and composition including all components such as FeO, CaO, SiO2, P2O5, Al2O3, TiO2 and VO2. The EAF slag practice aims at reaching a slightly oversaturated slag. This requires certain amounts of lime (ordinary and dolomitic) to be added during the smelting process, the higher the DRI gangue content, the higher the amounts of lime, which affects the process economy of the DR-EAF route.

The produced DRI may be used as hot DRI, which is used at integrated DR-EAF plants, cold DRI, used at both integrated DR-EAF plants and plant using a large amount of scrap and finally hot briquetted iron, HBI, which is a standard product used at scrap-based plants. The use of hot DRI, applied at some integrated DR-EAF plants, offers substantial energy savings. Over the years, a number of research work have been done to describe the relation between slag composition and MgO content at saturation like Suito et al. (1981) and Selin (1987, 1991). Examples of recent work are Kirschen (2021) and finally Song et al. (2020) studying refractory wear. Economic assessments of DRI quality and DRI use have been made by Gyllenram et al. (2015a) and Gyllenram et al. (2015b).

The reducibility of the DR pellets depends on the particle ore porosity, particle size and chemical composition of the phases present in the ore. A low reducibility results in either a low production rate in the DR furnace or a low metallization degree of the DRI (Chapa and Duarte 2001). Upgrading an iron ore concentrate to reach a lower gangue content of compounds such as silicates and alumina may include further comminution, a combination of magnetic separation, gravimetric separation in spirals and flotation. These methods must, according to LKAB DR-pellet specialists, be customized based on the requirements for each deposit (Magnus Tottie 2020 private communication).

As an example, Table 1 presents the development of LKAB DRI pellets from 1978 to 2017 showing a reduction of the SiO2 content from 1.43 to 0.8% over 40 years (Rutschman and Tottie 2018).

Table 1 An LKAB iron ore gangue content reduction from 1978 to 2017

Another example has been presented by RioTinto, where the silica content in DR pellets was decreased from 4.5 to under 1% through the implementation of silica flotation (Chaigneau 2015). However, the benefits of obtaining a higher iron content in the ore product must be weighed against the iron losses due to the separated gangue, the tailing grade and a property varying with the ore mineralogy. The tailing grade may vary from low levels below 10% under favourable conditions to high levels well over 20% (Xiong et al. 2015).

The importance of scrap quality from the perspective of the tramp element contents in electric steelmaking is well known and documented, since they affect the steel quality and show in the steel chemical analysis (Boom and Steffen 2001). However, silica from foreign material such as dirt and other steriles appears mainly in the slag and is therefore often neglected. This is probably due to that the slag in the EAF process, normally around 70 kg/t for 100% scrap-based steelmaking, is not homogenous and as a consequence very difficult to study. Treating scrap indoors and having a hard surface on the scrap yard are methods that can be applied to avoid dirt to stick to the scrap. Furthermore, scrap upgrading can be done by an extra shredding step or heavy metal scrap, HMS, cleaning systems, which improve the scrap quality by reducing the waste/dirt content and non-ferrous metal contents (Guschall 2020 private communication). The potential of scrap upgrading depends on the initial scrap quality as well as on the local conditions with respect to the scrap supply chain and EAF plant facilities.

The capability to cope with large slag amounts depends on the EAF design, and slag amount around 150 kg/t steel is not uncommon in integrated DR-EAF plants especially when producing low carbon steels where the FeO content in slag is high (Turcotte et al. 1985; Roger Selin 2021 private communication). Such high slag amounts result in iron losses in the slag, about 4%, lower productivity and higher lime and energy consumptions, all affecting steelmaking economy. By using DRI from higher grade iron ore feed, slag/steel ratios in the order of 100-120 kg/t are possible for high DRI percentage in the charge (over 80%) with corresponding improvements on the abovementioned factors and the resulting economy (Roger Selin, 2021 private communication). In this paper, a slag volume of 100kg/t is used as a reference and desirable upper limit.

Changing market

Abating CO2 emissions from the steel industry may in the future involve a number of different processes deployed, depending on available raw materials, energy and other factors like for example existing installations and engineering traditions. According to the International Energy Agency, IEA International Energy Agancy (2020), two main production routes constitute basic alternatives:

  1. A.

    An improved BF-BOF route with CCS/CCU is suggested by the IEA to be the main route to iron and steel from ore in the future. The main incentive for this route is that it may use a large base of newly erected BF-BOF plants with the same ore feed as today as a basis for new technical solutions.

  2. B.

    An increased production in the DR-EAF route partly replacing ageing BF-BOF plants. The main incentive for this alternative is the high technology readiness level, TRL, of DR processes. This development will demand an increased supply of DR pellets with a low gangue content and an increased demand of high-quality scrap. To begin with, this route will probably depend on natural gas as reductant until alternatives are available and a stepwise transition to fossil free production can be implemented. In order to further improve solutions, CCS/CCU may be used when other reductants than hydrogen are used.

Apart from a possible limited capacity to erect new beneficiation and pelletizing plants, at least three conceivable development scenarios may limit the transition in alternative B:

  1. i.

    Smelting reduction technology based on the BF-BOF route is developed to cope with the demands on CO2 emissions in a way that it stays competitive with the DR-EAF route in a long-term perspective.

  2. ii.

    Availability of global iron ore resources that allow for upgrading to DR quality at a cost that is competitive limits the possible transition.

  3. iii.

    Market conditions limit the DR premium level and premium stability in a way that slows down investment in DR quality pellet production and as a consequence the DRI production capacity.

In a long-term perspective, the first and second scenarios are plausible and may shape the production structure approaching 2050. In the short term, however, an uncertainty about the future demand for DRI and lack of stability in the DR premium may be the biggest obstacles to increased investments in DR-grade production.

Assuming that the steel production outside China remains stable at the 2019 level and actions are taken to reach the climate goals, both alternatives A and B must be deployed in a remarkable pace. To reach carbon neutrality, alternative B has a higher TRL level compared to alternative A and therefore probably a lower technical and financial risk.

If, in the next 30 years, 25% of today’s world pig iron production would migrate from the BF-BOF route to the DR-EAF route, it would mean a need for replacing 320 Mt pig iron with approximately 330 Mt DRI. This, in turn, would require an increased production of some additional 448 Mt of DR pellets. A more conservative transition of 5% replacing 64 Mt pig iron would require an additional amount of 90 Mt of DR pellets. For comparison, the assumed capacity increase from 2019 until 2025 is estimated to around 20 Mt (Barrington 2020).

For most of the existing supply chains, such investments must be made by the raw material suppliers while the benefits are experienced by the raw material users, as outlined in Fig. 1. Both an ore beneficiation and a scrap upgrading result in an iron loss in the processing. Iron will leave the system with traces of premium ore or with a poorer ore fraction in the ore beneficiation residue or as shrapnel in a dirt residue in the scrap upgrading step. Other major costs for decreasing the silica content are capital costs for plants, manpower, maintenance, electricity and flotation reagent for ore beneficiation, and electricity for scrap upgrading.

Fig. 1
figure 1

Costs and benefits of decreasing the silica content in iron bearing raw materials in the DR-EAF supply chain. The black arrows indicate the changes in loss of iron to tailings, scrap residue or slag. Other benefits in the steel production box are increased productivity, decreased energy and slag former use. The figure does not describe aspects related to the plant ownership or plant location

A low silica content in the raw materials on the other hand benefits the DR-EAF steps. The DR plant benefits from a higher productivity and decreased gas consumption, when less material needs to be heated and treated. However, the main benefit is in the EAF step where lower amounts of slag formers result in a lower slag amount and therefore a lower Fe loss. Other major benefits are a lower consumption of energy and a higher productivity.

In order to share the benefit of higher raw material qualities, a stable quality premium must be agreed on and maintained. The pricing mechanism that takes into account the performance of the raw material in the process is therefore of the greatest importance in order to create incentives for suppliers to invest in improving raw material qualities, scrap or DR pellets alike. Today’s pricing mechanism for iron ore has one premium for pelletization and another premium for a DR grade.

The migration to DR-EAF takes place on a diverse market. Three different DR-EAF plant types can be identified:

  1. 1)

    The integrated DR-EAF plant using mainly a DRI burden and a minor part of internal scrap,

  2. 2)

    The one-basket plant, charging the furnace with one basket of scrap, and then charging DRI or HBI through the furnace roof and

  3. 3)

    The scrap-based plant using DRI or HBI as a clean scrap to decrease the levels of tramp elements in the charged material.

A replacement of the pig iron production with a DRI production in integrated DR-EAF plants such as in the production case 1 would require an amount of scrap of the same magnitude as in the BF-BOF route, while new plants such as in cases 2 and 3, replacing BF-BOF plants, would drastically strain the scrap market. On the other hand, an existing scrap-based EAF plant adapting the case 2 or case 3 use of DRI would release scrap to the market.

Finally, plants operating according to cases 2 or 3 would depend on merchant DRI/HBI suppliers. These can be either independent or captive i.e. owned by the steelmaker or a DR-pellet producer, all supplying to several plants. A case 1 plant may also act as a merchant DRI/HBI supplier, selling excess DRI/HBI on the open market.

In a case where alternative B is realized and a vast number of BF-BOF plants are closed and replaced by electric steelmaking plants, investments must be made to secure the sourcing of DR pellets and high-quality scrap. The aim of this paper is to motivate these investments by showing the importance of the raw material quality to reach a successful migration from the BF-BOF route to the DR-EAF route. Furthermore, the study aims at providing a basis to calculate the potential improvement in revenue by investing in ore beneficiation and scrap upgrading facilities.

Both scrap and DRI qualities are taken into account, since the amounts of gangue in DRI and foreign material in scrap both influence the performance of the EAF in a negative way and improving the quality in scrap may be necessary for some plants in order to control the slag amount when increasing the use of DRI/HBI.

Methods

The cost benefit analysis that is the core of this study is performed in the following steps:

  1. Step 1:

    A parameter study is performed for three commercial DR-pellet types with different chemical compositions and scrap containing three different levels of “dirt”. The study is performed for three production cases, one for each plant type named in the “Changing market” section.

  2. Step 2:

    For the sake of simplicity, the Sitot/SiO2 content is chosen as the quality parameter in the calculations. The Sitot is used for scrap including both the metallic and oxidic Si contents. The postulated ore beneficiation and scrap upgrading result in a decrease in the SiO2 content in DRI by 2 percentage points, pp, and a decrease in the Sitot content in scrap by 0.3 pp.

  3. Step 3:

    A linear relationship is assumed within the space defined by the silica content of the raw materials and the beneficiation and upgrading may start at an arbitrary point within this space.

  4. Step 4:

    The impact on cost, slag formation, resource consumption, iron loss and emissions from the postulated improvements of the DRI and scrap qualities is calculated from the data in the parameter study, by assuming a linear relationship between the mentioned quantities and Sitot/SiO2 content in scrap/DRI.

  5. Step 5:

    Slag amounts from the parameter study are linearized as a function of the silica in DRI and scrap and used in visualizing the relationship between raw material silica and slag volumes.

  6. Step 6:

    Costs for ore beneficiation and scrap upgrading are estimated based on synthetic data for a pellet concentrate and for scrap.

  7. Step 7:

    Finally, costs and benefits are compared in order to establish the incentive for investments made by the raw material suppliers.

This following section describes the models used in the calculations and the calculation procedure.

Model description

The optimization and calculation tool RAWMATMIX® is applied to perform mass and energy balances for the DR-EAF route. Standard raw material data in the system, used in the study, are given by Arzpeyma and Gyllenram (2021). The DR process model together with plant data is described by Gyllenram and Arzpeyma (2021) and the EAF model is described and validated by Arzpeyma et al. (2020). Calculation of MgO saturation is based on the work of Selin (1987, 1991) including a copyrighted digitalization algorithm. Total emissions of CO2 are calculated for the final product by taking all major upstream sources into account. The emissions are reported separately for production of DRI and scrap, other emission sources like energy and summed to a total figure. Emissions for ore beneficiation and scrap upgrading are not included.

DR

The DRI composition is calculated using a mass balance, based on the iron ore pellet chemical composition. The calculation is done to meet the goals for metallization and carbon, which are set as input values. The model estimates the production cost of DRI based on consumption figures for raw materials, energy, raw material and energy prices as well as the calculated operational and capital costs for the plant. The production cost is set as the DRI price in the EAF process and the calculated CO2 emission is set as the DRI upstream carbon footprint value.

EAF

The EAF process model is based on a mass and energy balance, where the main charged materials are DRI/HBI and scrap. A cost-optimized raw material mix is calculated based on a specification of the target product, available raw materials and charging constraints; furthermore, an optimal addition of slag formers is calculated based on the need for a slightly MgO-oversaturated slag. Also, the electricity consumption is calculated in order to reach the selected tap temperature taking into account other energy sources added as fixed inputs like oxy fuel burners and oxygen. The required pulverized coal injection is calculated based on a set oxygen input and demand for an additional reduction of iron oxide. A tap-to-tap time is calculated based on average power on for the furnace, electricity consumption and a given power off time. The model finally estimates the production cost of liquid steel, based on the calculated consumption figures for raw materials and energy, raw material and energy prices as well as the calculated plant fixed operational costs, fixed OPEX, and capital costs, CAPEX.

Iron ore beneficiation and scrap upgrading

The cost in USD for iron ore beneficiation from a BF-pellet concentrate to a low silica DR-pellet concentrate and scrap upgrading from a low-grade (dirty) scrap to clean scrap is modelled as shown in Eq. 1:

$$ \mathrm{Cost}=\mathrm{PC}+\mathrm{IL}\times \mathrm{IP}/\left(1000-\mathrm{IL}\right)+\mathrm{RC} $$
(1)

where PC is the process cost (USD/t processed concentration or scrap) which is dependent on ore and scrap properties, IL is the iron loss (kg/t non processed concentration or scrap) in tailings or scrap cleaning residue, IP is the iron price (USD/t) and RC is the cost for taking care of residues (USD/t processed concentration or scrap) which is dependent on local conditions. In the calculations, PC + RC are set to heuristic values given by actors on the market.

Calculation procedure and basic data

Three iron ore pellets existing in the market with different contents of silica are studied. For DRI calculations, the metallization and carbon contents are set to 94% and 2%, respectively. The chemical compositions of the iron ore pellets and their corresponding DRI products are shown in Table 2. DRI products are defined as DRI L, DRI M and DRI H, corresponding to the low, medium and high SiO2 contents.

Table 2 The chemical compositions of the iron ore pellets and their corresponding DRI products

The scrap analysis used is typical for the scrap category “old thick”, in Europe referred to as E3 and in the USA as HMS 1, which contains three different contents of Si present in both metallic and silica forms, as shown in Table 3. The scrap types are defined as scrap L, scrap M and scrap H, corresponding to the low, medium and high SiO2 contents. Note that nothing is stated about what is a normal amount of silica in this scrap category. It is entirely dependent on local conditions and management.

Table 3 The chemical compositions of the charged scrap types. The SiO2 content represents a dirt fraction

Main values for the plant operation are shown in Table 4. The CAPEX + fixed OPEX and consumption figures for both the shaft furnace and the electric arc furnace as well as the consumption figures for the DR furnace are estimated from data reported from various undisclosed market actors.

Table 4 Main plant production factors

For seaborne pellets, the free onboard, FOB, dry pellet price in USD/t is calculated from a market price on the iron in ore products of a certain category and the iron content of the specific ore pellets. Freight, including costs for loading and unloading, moisture content is then added to get the price at the production site.

The price for iron in ore products and scrap does not change with the silica content. Instead, the difference in production cost of steel using the different products indicates what price premium a more refined ore product or scrap should have. Prices for input materials, electricity, electrodes, slag/dust disposal costs, other additional costs and parameters used to estimate DRI prices are summarized in Table 5.

Table 5 The main cost factors and energy/material prices

In this study, the prices for natural gas and electricity are representative for a high-cost location, whereas the iron materials are based on current price averages.

In all EAF calculations, the desired values for the slag parameters, FeO*, CaO20, λP and λV, are set to 20%, 38%, 1 and 1, respectively and the oversaturation factor, λMgO, is set to 1.1 (Arzpeyma et al. 2020). The slag formers include burnt lime and dolomite. Besides, it is assumed that in each charge, an amount of 0.5 kg/t steel refractory is dissolved into the slag. The steel produced is raw steel for a standard construction steel with 0.2% C and no requirements on tramp elements or alloys that affect the optimization.

Three cases for production of 100 t steel are defined using DRI and 20, 50 and 80 t scrap. These cases correspond to cases 1, 2 and 3, respectively in the “Changing market” section.

In total, 27 calculations were made for the DR-EAF route, taken into account three variables as presented in Table 6. The tap weight and the amounts of the charged scrap were set as constraints in charge optimizations. This means that the amount of DRI is estimated by the system to result in a production of 100 t steel.

Table 6 The charged scrap amounts and the SiO2 contents in DRI and Sitot contents in scrap

To facilitate comparisons, it is assumed that the DRI is transported and charged into the EAF as a cold DRI for all production cases: Furthermore, benefits of avoiding a second basket of scrap are not taken into account in the calculations. The reasoning is restricted to SiO2 for DRI and Sitot for scrap in this general study. Thus, the study does not intend to compare the usefulness of DRI and scrap as suitable raw materials for the EAF. The results from the calculations are presented in Tables 7, 8 and 9.

Table 7 Production data for production case 1. Medium values for scrap are left out since the system shows a linear performance
Table 8 Production data for production case 2. Medium values for scrap are left out since the system shows a linear performance
Table 9 Production data for production case 3. Medium values for scrap are left out since the system shows a linear performance

A linear performance of the slag amount as a function of the silica contents in DRI and scrap is assumed, according to Eq. 2, to calculate iso-slag lines in Figs. 6, 8 and 10.

$$ \mathrm{Slag}\ \mathrm{amount}\ \left(\mathrm{SA}\right):\kern0.5em SA=a\times \%{Si O}_{2\ DRI}+b\times \%{Si}_{tot\ SCRAP}+c $$
(2)

The parameters a, b and c are listed in Table 10.

Table 10 Dependence of Si in DRI and scrap on slag volume

The upgrading cases considered in the benefit scenario studies are (i) a reduction of the SiO2 content in DRI from 4 to 2% and (ii) a reduction of the silica content in scrap from 0.8 to 0.5% Sitot. The calculated benefits are presented in Table 11.

Table 11 Benefits calculated for production cases 1-3 when decreasing the SiO2 content in DR pellets by 2pp and the Sitot in scrap by 0.3pp

The potential iron loss in ore beneficiation of three hypothetical ores with a rich fraction consisting of haematite containing 1% Si and 67% Fe and having a fraction consisting of 70% SiO2 and 10%, 15% and 20% Fe. In this calculation, the poor fraction is discarded and the iron loss is presented per ton of DR-pellet feed. A rough estimate for ore beneficiation discussed with DR specialists at LKAB is 2 USD/t pellet feed plus the cost for iron losses (Gyllenram et al. 2020). The results are presented in Table 12.

Table 12 Data for upgrading a haematite concentrate consisting of a main part with 67% Fe and 1% SiO2 and an SiO2-rich fraction with 70% SiO2 and (A) 10% Fe, (B) 15% Fe and (C) 20% Fe which is possible to remove in an extra beneficiation operation

The potential iron loss during the scrap upgrading process in the form of shrapnel and dust is assumed to be in the range of 0.1-0.5%, which is lost with the residue from the process. A rule-of-thumb figure discussed with Sicon GmbH for the scrap upgrading cost is 1 USD/t scrap plus the cost for iron losses (Gyllenram et al. 2020).

Results and discussions

Effect of decreasing SiO2 in DRI and Sitot in scrap on EAF steel production

In the “Effect of decreasing SiO2 in DRI and Sitot in scrap on EAF steel production” section and the “Benefit analysis of ore beneficiation and scrap upgrade” section, it is shown how a decrease in the SiO2 content in DRI by 2 pp and a decrease in Sitot in scrap by 0.3 pp affect important production factors and thus affecting the steel production cost.

In Fig. 2, the reduction of the tap-to-tap time, slag amount and electricity consumption as a result of a decrease in SiO2 content in DRI by 2 pp and a decrease in Sitot in scrap by 0.3 pp is presented for the three cases. A higher silica content in the burden results in a higher slag volume. This, in turn, needs more energy to melt the slag which increases the tap-to-tap time. For the integrated DR-EAF mill in production case 1, the more refined DRI product reduces the slag amount by 57 kg/t. This, in turn, reduces the electricity consumption by 54 kWh/t and the tap-to-tap time by 5.4 min. With an additional impact from scrap upgrading, the tap-to-tap time is decreased by almost 6 min. It can be seen that SiO2 reduction in DRI/scrap in production case 1 results in a higher total reduction in slag volume and electricity consumption compared to production cases 2 and 3.

Fig. 2
figure 2

Reduction of tap-to-tap time, slag amount and electricity consumption in production cases 1-3 as a result of a decrease in SiO2 content in DRI by 2 pp and a decrease in Sitot in scrap by 0.3 pp

In order to obtain an MgO saturated slag, which is necessary to avoid an excess refractory, wear, lime and dolomite are added as slag formers. The model assumes that the FeO content in the slag is dependent on the carbon content of the steel produced and it is set to 20% in the liquid fraction of the slag in the calculations. In Fig. 3, the reduction of the consumption of lime and dolomite and losses of FeO to slag in production cases 1-3 as a result of a decrease in the SiO2 content in DRI by 2 pp and a decrease in Sitot in scrap by 0.3 pp is presented. It can be seen that the high slag volumes discussed above are to a great extent caused by the necessity to add dolomite to avoid an aggressive slag.

Fig. 3
figure 3

Reduction of consumption of lime and dolomite and losses of FeO to slag in production cases 1-3 as a result of a decrease in SiO2 content in DRI by 2 pp and a decrease in Sitot in scrap by 0.3 pp

The reductions in dolomite additions for DRI and scrap are 33 kg/t, 22 kg/t and 16 kg/t respectively for the three cases, respectively. Since the dolomite contains a high amount of CaO, the lime addition is not affected that much and differs by only 0.8 kg/t, 1.9 kg/t and 2.5 kg/t in the three cases, respectively. Furthermore, the decrease in the loss of FeO to the slag is 12, 6 and 7 kg/t steel for the three cases, respectively.

The calculations in this work are based on a DRI production using natural gas and an electricity grid mix of 0.49 kg/kWh. Figure 4 shows the reduction of CO2 emissions as a function of a decreased SiO2 content in DRI by 2 pp and a decreased Sitot content in scrap by 0.3 pp for the production cases 1-3. The decrease in CO2 emissions origins from decreased consumption of DRI due to the lower loss of iron in FeO shown in the bar for Fe material, and decreased consumption of dolomite and electricity shown in the bar for the EAF. The total reductions of CO2 in the three cases are 88, 67 and 49 kg CO2/t steel, respectively.

Fig. 4
figure 4

Reduction of CO2 emissions in production cases 1-3 as a result of a decrease in SiO2 content in DRI by 2 pp and a decrease in Sitot in scrap by 0.3 pp

Benefit analysis of ore beneficiation and scrap upgrade

The calculation results presented in Table 11 show that a conservative estimation of the benefit of decreasing the silica content in DRI by 2 pp is 20 USD/t DRI or 15 USD/t DR pellets and a conservative figure for the benefit of decreasing the dirt in scrap by 0.3 pp Sitot is 9 USD/t scrap. The corresponding reduction of slag volume is on average 63 kg/t DRI or 47 kg/t DR pellets and 24 kg/t scrap. The reduced slag volume results in a decrease in the iron losses by 9.6 kg/t DRI or 7.1 kg/t DR pellets and 3.5 kg/t scrap. Finally, the CO2 emissions are reduced by 84 kg/t DRI or 62 kg/t DR pellets and 34 kg/t scrap.

Production costs for the three plant types discussed in this paper are shown in Figs. 5, 7 and 9. Guidelines for 2%, 3% and 4% SiO2 in DRI are introduced in the figures. Furthermore, cost savings due to a decrease in the SiO2 content in DRI by 2 pp (amber arrows) and the Sitot content in scrap by 0.3 pp (blue arrows) are indicated in the figures.

Fig. 5
figure 5

Cost saving of production case 1 (100 t steel from 20t scrap + rest DRI) when SiO2 in DRI is decreased by 2 pp and Sitot in scrap is decreased by 0.3 pp

Production case 1: integrated DR-EAF plant

For an integrated DR plant, an ore beneficiation and scrap upgrading according to the example results in a total saving of 24 USD/t steel when the Sitot in scrap and SiO2 in DRI are reached to 0.5% and 2%, respectively, as shown in Fig. 5. Here, 22 USD/t of steel stems from the DRI product. A plant that is operated according to production case 1 would normally only use internal scrap. Thus, sand and dirt in scrap would then come from the steel plant scrap yard, which would be possible to control if the issue is recognized by the process management.

In Fig. 6, Eq. 2 is used to show the relationship between the Sitot in scrap, SiO2 in DRI and the slag volume for an integrated steel plant as described by case 1. The volume corresponding to 100 kg/t is marked in red. For a scrap with an Sitot content of 0.5%, the slag amount reaches 100 kg/t steel just below a content of 2% SiO2 in DRI or 1.5% in DR pellets and reaches 160 kg/t steel below a content of 4% SiO2 in DRI or 3% in DR pellets.

Fig. 6
figure 6

Slag volumes in production case 1 as a function of %SiO2 in DRI and %Sitot in scrap

Production case 2: EAF plant with continuous charging of DRI/HBI instead of second basket

Figure 7 shows the cost saving in production case 2 (100 t steel from 50 t scrap + rest DRI) when SiO2 in DRI is decreased by 2 pp and Sitot in scrap is decreased by 0.3 pp. For an EAF plant using comparable amounts of scrap and DRI/HBI, an ore beneficiation and scrap upgrading according to the example results in a total saving of 18 USD/t steel. Here, 12 USD/t steel stems from improvements in the DRI quality. The slag amount reaches 100 kg/t steel below a 3% SiO2 content in DRI or a 2.2% SiO2 content in DR pellets for a scrap with 0.5% Sitot content, as can be seen from Fig. 8.

Fig. 7
figure 7

Cost saving in production case 2 (100 t steel from 50 t scrap + rest DRI) when %SiO2 in DRI is decreased by 2 pp and %Sitot in scrap is decreased by 0.3 pp

Fig. 8
figure 8

Slag volumes in production case 2 depending on %SiO2 in DRI and %Sitot in scrap

Production case 3: EAF plant with DRI/HBI as an addition

Figure 9 shows the cost saving of production case 3 (100 t steel from 80t scrap + rest DRI), when the SiO2 content in DRI is decreased by 2 pp and the Sitot content in scrap is decreased by 0.3 pp. For an EAF plant with only a minor addition of DRI/HBI, an ore beneficiation and scrap upgrading according to the example results in a total saving of 12 USD/t steel. The improvement due to a scrap upgrade has a slightly higher impact on the production cost than an improvement of the DRI quality.

Fig. 9
figure 9

Cost saving of production case 3 (100 t steel from 80t scrap + rest DRI) when %SiO2 in DRI is decreased by 2 pp and %Sitot in scrap is decreased by 0.3 pp

Figure 10 shows the slag volumes in production case 3 as a function of the %SiO2 content in DRI and the Sitot content in scrap. The slag amounts displayed illustrate that it is possible to use a DRI content of up to 5% SiO2 before reaching 100t slag/t steel when charging scrap with an Sitot content of 0.5%. For a clean scrap with an Sitot of 0.3%, the slag volume stays under 60 kg/t steel with a DRI of 2% SiO2.

Fig. 10
figure 10

Slag volumes in production case 3 depending on %SiO2 in DRI and %Sitot in scrap

Cost analysis of iron losses due to an ore beneficiation and a scrap upgrade

The value of iron lost in an extra beneficiation operation is shown in Fig. 11 for three hypothetical cases A-C for tailing grades of (A) 10% Fe, (B) 15% Fe and (C) 20% Fe, which all contain 70% SiO2. Data from the calculations are given in Table 12. The iron content in the beneficiated ore is 67%. The iron content of the ores before beneficiation varies between 66.4 and 64.7% of fraction A, 66.5 to 64.9% for fraction B and 66.5 to 65.1% for fraction C. A decrease in the SiO2 content by 2 pp result in the following Fe losses in the three cases: 3 kg/t or 0.24 USD/t for case A, 4.5 kg/t or 0.36 USD/t for case B and 6 kg/t or 0.47 USD/t for case C.

Fig. 11
figure 11

Iron loss in USD/t and kg/t processed concentrate when decreasing the SiO2 content by removing a fraction with 70% SiO2 and A: 10% Fe (blue), B: 15% Fe (amber) and C: 20% Fe (green). The remaining haematite concentrate has 67% Fe and 1% SiO2

The indicative CAPEX + OPEX values for an additional beneficiation operation are assumed to be 2 USD/t, which indicate an upgrading cost of around 2.5 USD/t when decreasing the SiO2 level by 2 pp. The same value may be used for the produced DR pellets, since only small additions are made to the pellet feed in the pelletization process.

Assuming an iron loss between 0.1 and 0.5% in the scrap upgrading depending on the scrap and upgrading process results in an iron loss of between 1 and 5 kg/t for the upgraded scrap. The cost for the iron loss would be between 0.22 and 1.1 USD/t. The indicative CAPEX + OPEX values for an additional assumed upgrading operation of scrap of 1 USD/t indicate an upgrading cost of around 1.22-2.1 USD/t based on calculations using Eq. 1.

Cost benefit analysis

Bearing in mind that the CAPEX + OPEX values given for both ore beneficiation and scrap upgrading are only indicative and vary with ore and scrap properties, time and local conditions, the following attempt to provide a cost benefit analysis is made.

The benefit of an ore beneficiation resulting in a decreased SiO2 content in the pellets by 2 pp is according to the “Benefit analysis of ore beneficiation and scrap upgrade” section more than 15 USD/t DR pellets. Assuming the highest cost calculated in the “Cost analysis of iron losses due to an ore beneficiation and a scrap upgrade” section, this gives a net benefit of 12.5 USD/t DR pellets.

For scrap, the benefit from a scrap upgrade and a proper scrap yard handling that leads to a decreased dirt fraction by 0.3 pp of Sitot was estimated to correspond to 9 USD/t scrap in the “Benefit analysis of ore beneficiation and scrap upgrade” section. Assuming the highest cost calculated in the “Cost analysis of iron losses due to an ore beneficiation and a scrap upgrade” section, this gives a net benefit of 6.9 to 7.8 USD/t scrap. A conservative approach assuming a decrease of 0.1 pp Si would give a benefit of 3 USD/t scrap and a net benefit of more moderate 0.9-1.78 USD/t scrap.

Discussion

Reaching the goal to become carbon neutral in the future will demand vast investments in new technologies and renewed capacities in the steel industry. As BF-BOF plants in the western world are ageing and costs for emitting CO2 are increasing, new solutions are sought. The DR-EAF route is favoured among a number of steel companies as the main process route to improve sustainability. Therefore, a drastically increased DRI capacity is expected within the next decades.

Benefits and costs, resource conservation and CO2-emission abatement

The cost benefit analysis in the previous section indicates that the benefit from ore beneficiation widely exceeds the costs, based on the given assumptions for the DRI. In addition, even with a conservative approach, the cost is in parity for scrap upgrading. For both materials, other benefits may be obtained such as a decreased phosphorus content due to the ore beneficiation and decreased copper contents due to an improved scrap upgrading.

From a resource conservation perspective, the iron loss in ore beneficiation corresponding to 2 pp SiO2 is estimated to have a value of 6 kg/t pellet feed. This is in the same range as the estimated iron loss to an EAF slag without beneficiation, which is estimated to 7.1 kg/t pellets. However, the main difference with respect to the resource consumption is the decreased use of dolomite and energy. The amount of resources consumed in the beneficiation step, mainly electricity, grinding media and flotation reagents, is highly dependent on the ore beneficiated. This aspect is not discussed in this paper. Studies made for specific ores should however include the increase in this resource use.

Iron loss from scrap upgrade depends on the scrap itself and the machinery deployed. When decreasing dirt in scrap by 0.3 pp Sitot, the reduction of slag lost to an EAF slag is 3.5 kg Fe/t scrap. This value can be compared to the example data in the “Cost analysis of iron losses due to an ore beneficiation and a scrap upgrade” section of 1-5 kg Fe/t scrap lost due to the scrap upgrading. It should again be mentioned that scrap upgrading also is carried out due to other reasons such as for the removal of other metals and materials. The operation mainly consumes electricity and machine spare parts, which is left out of this study but should be included when studying any specific scrap upgrading flow.

The effect on CO2 emissions with a decrease between 88 and 49 kg CO2/t steel is relevant in a situation where the costs for emissions increase and the environmental performance is an important part of a product profile.

Since the resource conservation advantages and CO2 mitigation come without extra cost, they should be emphasized in the debate and serve as an additional argument for decreasing the content of silica in DR pellets, DRI/HBI and scrap.

The economic and environmental benefits outlined in this general paper must however be verified with case studies where the beneficiation properties of the ores such as the hardness and tailing grade are taken into account when calculating the beneficiation costs. For the benefit side, a full chemical composition determination of the ore and the additions to the pellet feed would give a more precise picture of the slag properties in the EAF. For scrap, publicly shared quality data as well as methods to estimate the scrap quality by evaluating process data from the EAF would make a big difference for the possibilities to negotiate a quality premium or discount, or deciding on investment in upgrading equipment and scrap yard facilities.

Migration from BF-BOF route to DR-EAF route

As stated above, a technology shift where 25% of the global pig iron production is replaced by DRI production creates an increased demand for additional DR-grade pellets by up to 448 Mt. In the more conservative shift where 5% of the pig iron is replaced, it was stated an additional 90 Mt of new DR-grade pellet capacity is needed.

With an investment period of 30 years to 2050, investments in this new capacity where BF-pellet feed and sinter fines are beneficiated to DR-pellet concentrate grade must be made at a high pace. About a 15 Mt capacity per year must be created for the 25% alternative and 3 Mt/year for the 5% alternative. The demand for extra pelletizing capacities depends on the amount of the existing BF-pellet capacities that migrate to the DR-pellet capacity.

Two factors of importance are the size and diversity of the DRI market and the structure of the supply chain. Assuming that stability is favoured by a large number of diverse DRI users, it seems reasonable to think that an increased number of plants such as production cases 2 and 3 would serve that purpose. However, that would require an increased number of merchant DRI suppliers that has to emerge in the future. Several scenarios are possible, but a strong engagement from the ore suppliers is necessary to assess a stable supply of DR-grade pellets in the future.

Conclusion

The aim of this paper is to show the importance of raw material quality to a successful migration from the BF-BOF route to the DR-EAF route in order to reach global climate goals. In order to promote investments in ore beneficiation and scrap upgrade, it provides a basis to calculate a potential improvement in revenue. An obstacle highlighted in the article and displayed in Fig. 1 is that costs and benefits appear in different parts of the supply chain.

  • Calculations were made by using the optimization and calculation tool RAWMATMIX® for three commercial DR pellets with varying SiO2 content and three hypothetical scrap types with varying Sitot representing the level of dirt.

  • The following three plant types were studied: (i) an integrated DR-EAF plant using internal scrap, (ii) a plant using equal amounts of scrap and DRI and (iii) a plant using a smaller fraction of DRI in relation to the scrap amount.

  • The impact on key process factors and the resulting economic value for an EAF plant to reduce the SiO2 content in DRI by 2 percentage points and the dirt content of scrap by 0.3 percentage points Sitot were estimated.

  • For each plant type, the slag volumes depending on the silica input were studied and requirements on raw materials to have a production under 100 kg slag/t steel were determined.

  • An estimation of the beneficiation costs of ore and upgrading cost of scrap was made and the costs were compared with the benefits.

The overall conclusions are as follows:

  • The loss of iron units in ore beneficiation is compensated for with higher savings in the EAF together with reduced consumption of slag formers.

  • The benefit to the DR-EAF route of ore beneficiation to decrease the silica content is substantial given the tailing grade and a high and stable DR-grade premium based on actual pellet analysis would probably promote continuous investment to meet a higher demand.

  • Estimating the benefit of scrap upgrade is less straight forward than for ore due to lagging data, but scrap upgrading should be important to keep the slag volumes at a minimum when the DRI fraction increases.

  • Plants with a higher amount of scrap compared to DRI are more resilient to fluctuations in silica levels due to the lower slag amount and may have an advantage to integrated DR-EAF plants if the ore quality deteriorates in the future.

The more specific conclusions from this paper may be summarized as follows:

  • The environmental benefit that comes with no extra cost is linked to a decreased slag generation, resulting in lower energy and resource consumption and as a consequence a lower CO2 emission.

  • Though the generalizations in this paper made it possible to describe the area, detailed case studies should be made for specific scenarios. In these, it is important to take into consideration the beneficiation properties of individual ores and the impact of all gangue elements and additions made in pelletization. For scrap, more work has to be done on cost and benefit of individual upgrading cases. At the end, different plant locations and plant types should be studied in detail to assess the viability in the idea of replacing a substantial part of the production in the BF-BOF route with production in the DR-EAF route.

  • Finally, a stable DR-grade pellet supply is of greatest importance to make it possible for a substantial part of the steel production in the BF-BOF route to migrate to the DR-EAF route over the next 30 years. It is argued that in order to meet the need for increased processing capacity, a stable investment climate is necessary and difficulties rising from the fact that the costs and benefits appear in different parts of the supply chain must be overcome.

Suggested topics for development and further research are identification of ores that are possible to beneficiate to DR grade at a competitive cost and methods to establish the actual quality of purchased scrap and its potential for upgrade.