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Article

CO2 Abatement in the Steel Industry through Carbon Recycle and Electrification by Means of Advanced Polymer Membranes

The Netherlands Organisation for Applied Scientific Research TNO, Unit Energy Transition, Westerduinweg 3, 1755 LE Petten, The Netherlands
*
Author to whom correspondence should be addressed.
Membranes 2021, 11(11), 856; https://doi.org/10.3390/membranes11110856
Submission received: 8 September 2021 / Revised: 27 October 2021 / Accepted: 29 October 2021 / Published: 4 November 2021

Abstract

:
The potential of advanced polymer or hybrid polymer membranes to reduce CO2 emissions in steel production was evaluated. For this, a conceptual process design and assessment was performed for a process that is a combination of carbon recycling and electrification of the steel making process. The results indicate a CO2 avoidance of 9%. CO2 emissions were reduced by factor 1.78 when using renewable electricity according to the proposed scheme compared to feeding this renewable electricity to the electrical grid. The CO2 abatement potential of the studied concept is highly dependent on the CO2 conversion in the plasma torch. If CO2 conversion in the plasma torch could be increased from 84.4% to 95.0%, the overall CO2 avoidance could be further increased to 16.5%, which is comparable to the values reported for the top gas recycling blast furnace. In this case, the CO2 emissions reduction achieved when using renewable electricity in the proposed scheme compared to using the same electricity in the electrical grid increases a factor from 1.78 to 3.27.

1. Introduction

Recent international agreements on CO2 emission reductions facilitate the industry sector to move towards sustainable and environmentally friendly solutions. Steel production with emissions of approximately 2.09 tCO2/t hot metal (where t indicates metric tons) contributes significantly to the greenhouse gas (GHG) emissions of the industry sector [1]. There is already a significant effort in the steel sector to decrease their emissions, which is realized through different programs such as ULCOS, AISI, POSCO, COURSE50 and so forth [2]. One of the concepts studied extensively is the possibility of carbon reuse in the blast furnace by blast furnace gas (BFG) recycling in a concept called top gas recycling blast furnace (TGR-BF). Reported savings in carbon consumption are 15–25% [3], depending on the scenario considered, with a CO2 emissions reduction of 12–15% CO2/t hot metal [4]. However, in TGR-BF configuration, the blast furnace needs to be modified to allow the combustion of coal in the presence of pure oxygen instead of air or oxygen enriched air. In this way, BFG is rich in CO2 with low inert gas (N2) content. This enables easy separation of CO2 from BFG, and recycling of the CO rich stream to the blast furnace.
In a recent paper [5], the potential of carbon reuse in the steel industry using polyPOSS-imide membranes for H2 separation was evaluated. This concept combines hydrogen production from the coke oven gas (COG) by means of membranes, and electrification facilitated carbon recycling by means of syngas production in a plasma torch (PT). The reported CO2 emissions’ reduction potential is 14%, which is comparable to the TGR-BF. It is important to note that, for this concept, an expensive modification of the blast furnace to enable oxygen feeding was not required.
In the literature, several authors have evaluated the application of membranes as an alternative to amine-based capture for applications in the steel industry [6,7]. Here, CO2 membranes are evaluated primarily for the purpose of CO2 storage applications. Other authors have evaluated plasma torch technology in the steel industry, aimed at emission reduction through fuel switch and electrification [8]. This paper combines these two options in a novel scheme where the CO2 separated is utilized for dry forming in the plasma torch rather than being exported for underground storage.
The concept study (Figure 1) evaluates the potential for CO2 emissions’ reduction using CO2 selective membranes for CO2 separation from BFG and electrification through dry reforming in a plasma torch. In this concept, after separation from BFG by means of a membrane system, CO2 is mixed with COG and sent to the plasma torch. The retentate stream, which is rich in CO/N2, is used to meet the heat demand of the steel plant. Syngas produced in the plasma torch from the dry reforming of methane in the COG with CO2 that is captured with the membranes, is recycled to the blast furnace resulting in the reduction of Pulverized Coal Injection (PCI). This ultimately results in reduced CO2 emissions for the steel making process.
The present work evaluates the utilization of membrane technology based on advanced polymer or hybrid polymer with metal-organic frameworks (MOF) to facilitate carbon reuse in the steel industry by CO2 separation. Typically, plasticization is CO2-induced, thus CO2 swells the polymer chains at high CO2 partial pressures, resulting in an increase in inter-chain spacing and chain mobility. The membrane in turn loses its intrinsic selectivity. The use of hybrid polymer MOF membranes could possibly improve the separation performance, overcoming the plasticization problems of the pure polymer systems in carbon capture [9,10,11].

2. Materials and Methods

Advanced polymer or hybrid polymer MOF membranes can be used for CO2 separation in various CCUS pre-or post-combustion schemes [11]. In this work, the technical feasibility of CO2 selective membranes integration in the steel industry was assessed by a conceptual process of design and modelling. The proposed concept combines carbon utilization and the electrification of the steel making process. For the assessment, three cases were defined: (i) a baseline case without emissions reduction; (ii) a reference case using “conventional” MEA absorption separation technology; and (iii) a case with implemented advanced polymer or hybrid polymer MOF membranes. Conventional MEA absorption was selected as the reference technology for comparison, since this has the same functionality and also does not require modification of the blast furnace as is the case with most alternative technologies. The simplified flow schemes of the reference process and the membrane-based process are depicted in Figure 2, where the emissions reduction measures added to the baseline process are indicated in green. Residual gas from BFG is sent to a separation section (with or without membrane) where gas separation is performed. The produced CO2 rich stream is mixed with COG and sent to the plasma torch. In the plasma torch, renewable electricity is used to produce syngas for the blast furnace by dry reforming. This integration reduces the amount of PCI required in the blast furnace. Following this approach, the COG is not used anymore to cover the heat demand of the steel plant. That requires utilization of both CO/H2/N2 available from the BFG after the CO2 separation, and natural gas import to supply heat. In addition, the amount of BFG that is sent to the electricity production is reduced, resulting in a lower electricity production in the power plant. Thus, in addition to the renewable electricity used for the plasma torch, the import of renewable electricity is required to cover the electricity demand of the steel making process. Therefore, the proposed concept is a combination of a scheme for CO2 emission reduction and carbon reuse, and partial electrification of the steel making process. The reference case process is identical to the case with membrane technology with the difference being that CO2 is separated by a monoethanolamine (MEA) absorption based system.
The baseline case is conventional steel production in an integrated steel mill without CO2 capture, for which information on the feed/product streams was taken from literature [12]. The key data are coal and iron ore inflow, steel production capacity, CO2 emissions from steel and electricity production, total electricity produced, electricity and heat demand of the steel mill and residual steel gases flow rates and composition. Table 1 lists the key data for the baseline case. In the literature case, it is assumed that the plant is energy neutral, meaning that the gasses produced are just sufficient to cover the heat and power demand of the plant.
The composition, flow and operating conditions of the BFG and COG are listed in Table 2. For the technical evaluation, mass and heat balances were made using the flow sheeting tool Aspen Plus V10 with the RKSMHV2 thermodynamic method.
From the simplified flowsheet given in Figure 2, a more detailed flowsheet is constructed (Figure 3). For the reference case, the BFG is sent to the CO2 capture unit, in which CO2 is absorbed using an conventional MEA absorber/regeneration unit. Produced lean BFG is used for internal heat generation. The rich amine stream is sent to a desorption unit for regeneration. The regeneration unit uses low-temperature steam. In this study, two scenarios for the reference case were evaluated: (i) Scenario 1: waste heat for steam generation is available at the steel plant; (ii) Scenario 2: waste heat is not available at the steel plant. The separated CO2 is mixed with COG and fed to a plasma torch for dry reforming. The plasma torch uses imported renewable electricity. The produced syngas is sent to the blast furnace, with the final aim of reducing PCI.
When membranes are used for the CO2 separation, the BFG needs to be compressed, cooled and fed to the membrane separation unit. The units are operated with vacuum at the permeate side of the membrane, so the permeate CO2 rich stream needs to be re-compressed before mixing with COG. In addition, for the membrane case it is important to limit N2 crossover to the permeate side. Increased N2 crossover results in the accumulation of the inert gases as a result of the blast furnace gas recycle loop. This would result in increased compression power and an increase of the membrane surface area. Therefore, the two scenarios presented in Figure 4, when applying one or two stage membrane configurations, were evaluated, with the main goal of enhancing CO2 recovery and minimizing N2 crossover to the permeate side.
Standard models were used for the heating, cooling and compression required. Assumptions used in the standard model are summarized in Table 3.

2.1. Membrane Model

The membrane model used was a 1-dimensional cross-flow model using the approach of [15], which is implemented as an Aspen Custom Modeller sub-module in Aspen Plus. A schematic overview of the model is given in Figure 5.
Here, the trans-membrane flux for each component i is described as a function of the dimensionless membrane length z according to Equation (1).
J i ( z , T ) =   Q i   [ p i , f ( z ) p i , p ( z ) ] ,
with Qi the permeance for component i and pi,f(z) and pi,p(z) the local partial pressure of component i at the feed and permeate side, respectively. An overview of the permeance data for the various gaseous components used in this study is presented in Table 4. Permeances assumed for the study are considered representative for polyactive and MOF-polyactive membranes. The permeance values assumed are listed in Table 4 and are deducted from combining unpublished experimental results with a 150 nm thick hybrid polyactive membrane with 20%w MOF-74, and literature data on PolyActive membrane 1500PEO77PBT23 presented in References [16,17], for which the performance was found to be very similar.
The sweep flow was set to zero. The membrane operating temperature was fixed at 30 °C. An optimization of the feed pressure was performed up to the maximum experimentally evaluated pressure of 5 bara as the upper feed pressure limit [16,17].

2.2. MEA Absorption/Regeneneration Section Model

The MEA absorber/regenerator unit was modelled as a black box separator model with a heat demand. Estimation of the MEA solvent flow was conducted according to guidelines from reference [18], assuming a net solution loading of 0.43 mol/mol of amine (based on the CO2 partial pressure in BFG). The typical energy use for MEA regeneration is reported in the range of 3–7 MJ/kg CO2 captured depending on the CO2 concentration in the stream and the CO2 recovery that needs to be achieved. Here, a steam consumption of 0.12 kg steam/kg of MEA solution corresponding with 3.6 MJ/kg CO2 captured was assumed [18]. The CO2 recovery was fixed at 90%.

2.3. Plasma Torch Model

For the plasma torch reactor experimental data of a single-anode hydrogen thermal plasma jet from reference [19] was considered. This type of plasma torch with both electrodes in the torch body is commonly studied in waste processing and has been applied for gas heating in steel production. Since no standard model is available for a plasma torch, a construct model was developed for the plasma torch based on a combination of standard Aspen Plus unit operations using experimental data from [19]. First, CO2 that is captured by the membranes or the MEA absorber is mixed with COG. The amount of CO2 is adjusted to the required molar ratio of CO2 over hydrocarbons:
CO 2 CH 4 + 2   C 2 H 4 = 2 / 3 .
The resulting CH4/CO2 rich mixture is preheated by heat exchange with the syngas product of the plasma torch. The plasma torch model consists of three reactors in series, which are used to tune the conversion to experimental values. Assuming that the plasma torch is overall adiabatic, the energy balance model block combines the energy effect of each of the reactions with sensible heat effects to calculate the required electricity input. All reactors operate at atmospheric pressure and at a temperature of 1150 °C.
The reactors, respectively, have the following functionalities:
  • The first reactor R1 simulates the initial equilibrium; temperature was adapted to match the experimental methane conversion;
  • The second reactor R2 is used to adjust the CO2 outlet mole fraction;
  • The third reactor R3 is used to adjust the carbon yield.
The reactors are implemented as Gibbs free energy minimization reactors with temperature restricted equilibria, where reactions are specified by excluding all components other than those participating. Specifications are listed in Table 5. Though the reactors are placed in series, the model equations for three reactors are solved in parallel.

2.4. Key Performance Indicators

The CO2 avoided is defined as the reduction in CO2 emission per unit of hot metal produced (e) during CO2 capture (eclk) with respect to the baseline process (eclk,ref) according to:
CO 2   a v o i d e d = e c l k , r e f e c l k e c l k , r e f       [ % ]
The Green electricity CO2 reduction potential (GECRP) is a measure of how effectively the renewable electricity is contributing to emissions reduction. It indicates how renewable electricity reduces CO2 emissions when applied to a specific industrial process. This is compared to the emission reduction when feeding the same amount of power into the grid, thereby reducing emissions caused by reducing the fossil fuel power generation that is part of the grid mix. In the study, continuous renewable electricity supply is assumed to be enabled by deploying intermittent electricity sources and energy storage. The GECRP is defined as the amount of CO2 avoided per amount of renewable electricity used in the concept according to:
G E C R P = m ˙ CO 2 , r e f m ˙ CO 2 Δ E i m p o r t      
where CO2, ref and CO2, ref are the mass flows CO2 emitted for the baseline and studied case respectively and ΔEimport is the difference between imported power in the studied cases and the baseline case. The GECRP is expressed in kgCO2/GJel and is compared to feeding the renewable electricity in the electricity grid using typical CO2 emissions of 73 kg CO2/GJe from the average EU28 electricity mix of 2014 [20].

3. Results and Discussion

One and two-stage configurations were evaluated in detail for the integration of CO2-selective membranes. The amount of CO2 that needs to be mixed with the COG as specified by Equation (2) was found to be significantly lower than the value present in the BFG that is typically sent to the electricity production. Therefore, part of the membrane feed is based from the membrane section where The amount of BFG that is by-passed depends on the overall CO2 recovery in the membrane system and the amount of CO2 required for dry reforming. A sensitivity study on the overall CO2 recovery from 0.3–0.85 and on the operating pressure in the range from 2–5 bar was performed.
As was mentioned, N2 will dilute the CO2 content in BFG and will therefore have a negative impact on the performance of the membrane based concept such as higher energy and membrane surface area requirement. A one-stage membrane configuration is not capable to sufficiently limit the N2 content in the CO2 stream. Depending on the overall CO2 recovery, the N2 content in the separated CO2 stream after the one-stage membrane varies from 8.3 to 11 mol% dry basis, for overall CO2 recoveries between 0.41 and 0.75. For the two-stage membrane, it was found that the N2 content in the CO2 permeate stream can be significantly decreased to 0.62–0.79 mol% on a dry basis for the same recovery range. Therefore, a two-stage membrane configuration, as shown in Figure 4, was selected for further evaluation.
The results of the sensitivity studies on the impact of overall CO2 recovery on the required total membrane surface area and the total compression duty for the two-stage membrane configuration are presented in Figure 6, Figure 7 and Figure 8. Figure 6 depicts the total compression power of the membrane section and the total membrane surface area vs. total CO2 recovery at different feed and permeate pressures and CO2 recovery in the second membrane stage. The power requirement decreases with an increase in the overall CO2 recovery, as a result of a lower amount of BFG that is required to produce a stochiometric amount of CO2 for the plasma torch. This can be clearly observed in Figure 7 and Figure 8, which show that the feed compressor has the highest share in the power demand of the membrane system. This power demand decreases with an increase of the overall CO2 recovery. The total power requirement decreases by 50% when the feed pressure is decreased from 5 bar to 2 bar. However, in this case, the maximum overall CO2 recovery is limited to 0.56, while at 5 bar feed pressure an overall CO2 recovery of 0.75 can be achieved. As expected, the membrane surface area increases with an increase in the overall CO2 recovery. The total membrane surface area increases by a factor 3.7 when the feed pressure is reduced from 5 to 2 bar.
The total membrane surface area decreases by 37% when the permeate pressure for either the 1st or the 2nd stage is decreased from 0.3 to 0.1 bar. The total required compression power then increases by 23%. Additionally, investment costs of the vacuum pump will increase significantly when decreasing the permeate pressure to 0.1 bar because of the large volumetric feed flow.
Increase of the CO2 recovery at the 2nd membrane stage results in a decrease of the required membrane surface area and compression power. However, at CO2 recoveries higher than 0.7, a minor impact on the further decrease of the membrane surface area and power consumption was observed.
Two subcases, GC-100 and GC-101, were selected for the further evaluation of integration in the steel making plant. These two subcases differ in membrane feed side pressure for both the first and second stage which is: 5 bar for GC-100 and 2 bar for GC-101. From the results in Table 6, it can be seen that, in terms of the PCI reduction potential, these two subcases are comparable. For the 5 bar feed pressure operation 1.44 GJ/t is required to capture CO2. This value reduces by 30% for 2 bar feed pressure operation. However, the total membrane surface area for the low pressure operation of case GC-101 is a factor 3.7 higher. Further economic evaluation using these results is required in order to determine which of these subcases is optimal in economic terms.
The results of the reference case using MEA absorption for separation of CO2 are presented in Table 7. The MEA absorption provides a higher CO2 recovery and a higher CO2 purity. This resulting PCI reduction potential is comparable to that of the membrane case, with the slight difference coming from the lower slip of other components such as H2 and CO in the CO2 stream of the reference case.
Table 8 lists the overall system performance results for the reference and membrane cases in comparison with the baseline no capture case. Since the CO2 conversion that can be achieved in the plasma torch is a uncertain parameter and was observed to have a negative impact on the PCI reduction potential, results for both the reference and membrane cases are given for two CO2 conversion values: (i) 84.37% that is experimentally reported in the literature (baseline PT conversion) and (ii) 95% that could be potentially achieved (high PT CO2 conversion) [19].
There is a significant impact of the overall CO2 conversion increase in the plasma torch on CO2 separation cases results. If it is possible to increase the CO2 conversion from 84.37% to 95%, the overall CO2 avoided can be increased from 753 kt/year to 1373 kt/year for the membrane cases. Respectively, the total carbon input (sum of coking coal and PCI inflow) to the steel production decreases by 14% or 26%. This is comparable to the results reported for TGR-BF [3], but without the need for the modification of the blast furnace.
The CO2 emission reduction potential is slightly lower for the reference case compared to the membrane cases. If waste heat is available for the solvent regeneration (Reference Scenario 1), the reference case has the advantage of having a lower power demand than the membrane cases and then the total energy use is slightly lower for the reference case. If this heat is not available, (Reference Scenario 2) the reference case has a lower energy reduction potential compared to membrane cases. Moreover, the CO2 avoided is lower since CO2 emissions are generated by natural gas consumption for the heat generation.
The green electricity CO2 reduction potential (GECRP) for all studied cases is higher than for the EU28 mix. The GECRP is the highest for Reference Scenario 1, because the avoided CO2 is comparable to the membrane cases, but the green electricity import is lower because it profits from the waste heat available at the steel mill site. The utilization of renewable electricity according to the membrane cases or the reference case instead of feeding this renewable electricity to the grid as for the assumed mix, yields into CO2 emission reduction per GJ, which is 1.79 and 1.92 times higher than the mix, respectively. These numbers increase to 3.52 times for the reference case (Reference Scenario 1), and 3.27 times for membrane cases with 95% CO2 conversion in the plasma torch. In the case where heat for solvent regeneration is not available (Reference Scenario 2), a slightly lower CO2 avoidance potential is found (compared to the membrane cases studied) and its GECRP is comparable to the membrane cases.

4. Conclusions

Advanced polymer or hybrid polymer MOF CO2 separating membranes are used in the steel industry using renewable power to ultimately reduce pulverized coal injection. For this blast furnace, gas is sent to a membrane system producing CO2 stream that, in combination with cokes oven gas, undergoes dry reforming in a plasma torch. The syngas stream produced is fed to the blast furnace resulting in a reduction of pulverized coal injection required for the steel production. MEA absorption was selected as the reference technology for CO2 removal. For both schemes, the mass and energy balances have been developed based on a baseline steel plant from the literature and unit operation models for all relevant equipment. In both cases, a significant amount of renewable power imported to the plant is used in the plasma torch, for the compression of gases and to compensate for a lower power production in the steel plant because less power is produced by the BFG. The membranes concept allows 9% CO2 emissions avoidance equal to 740–753 ktCO2/year avoided, depending on the process conditions selected. The reference case has a lower power demand and a higher heat demand, which together results in a comparable CO2 emission avoidance of 8.9%. The heat demand could possibly be supplied by waste heat available at the steel mill, which would favor the reference case. The total required import of renewable electricity for the reference process is considerable at 183 MW. Both the membrane and reference cases make effective use of renewable electricity for emission reduction. The utilization of renewable electricity, according to the membrane case or the reference case scenario instead of feeding it to the grid, yields a CO2 emission reduction per GJ of 1.79 and 1.92 times higher respectively. If it is possible to increase CO2 conversion in the plasma torch from its current value of 84.37% to 95%, the CO2 avoidance could be increased to 15.23%–16.52%, corresponding to a total CO2 emissions’ avoidance of 1265–1373 kt/year. The utilization of renewable electricity in this case results in 3.52 and 3.27 times lower CO2 emissions per GJ compared to feeding the same amount of renewable electricity to the grid. Modelling of the hybrid polymer MOF membrane technology integration into the steel production demonstrated significant CO2 emissions’ reduction potential.
Further evaluation of the potential study and the difference between polyactive and polyactive MOF membranes requires more detailed experimental work and an assessment of membrane lifetime. Some of the recent studies show that a large environmental burden can be allocated to the MOF production [21,22]. In order to evaluate the full potential of this technology, further combined economic and environmental assessments need to be considered.

Author Contributions

Conceptualization, M.S., J.W.D., Y.C.v.D. Methodology and Modelling: M.S., J.W.D. Writing M.S., Review and Editing J.W.D. and Y.C.v.D. Supervision Y.C.v.D. All authors have read and agreed to the published version of the manuscript.

Funding

This project received funding from European Union’s Horizon 2020 research and innovation program under grant agreement No 760899 for the project GENESIS. This publication reflects only the author’s view and European Union in not liable for any use of that may be made of the information contained therein.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

We thank Erik de Coninck for the fruitful discussions on the steel production process. In addition, we thank David Vermaas and Tymen Visser on providing data on the advanced hybrid polymer MOF membranes performance. Also, we acknowledge Galina Skorikova for a critical review of the paper.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Concept considered in the study.
Figure 1. Concept considered in the study.
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Figure 2. Simplified process schematic for the membrane and reference process.
Figure 2. Simplified process schematic for the membrane and reference process.
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Figure 3. Process flow diagram of the (a) Reference case and (b) Membrane configuration.
Figure 3. Process flow diagram of the (a) Reference case and (b) Membrane configuration.
Membranes 11 00856 g003aMembranes 11 00856 g003b
Figure 4. Process flow diagram of (a) one and (b) two stage separation scenarios.
Figure 4. Process flow diagram of (a) one and (b) two stage separation scenarios.
Membranes 11 00856 g004aMembranes 11 00856 g004b
Figure 5. Schematic overview of the membrane model.
Figure 5. Schematic overview of the membrane model.
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Figure 6. Sensitivity study: Compression power (P) and membrane surface area (Amem) as a function of the overall CO2 recovery. Legend format: pfeed| ppermeate| CO2 recovery in the second-membrane stage. CO2 recovery in the first stage is fixed at 0.7.
Figure 6. Sensitivity study: Compression power (P) and membrane surface area (Amem) as a function of the overall CO2 recovery. Legend format: pfeed| ppermeate| CO2 recovery in the second-membrane stage. CO2 recovery in the first stage is fixed at 0.7.
Membranes 11 00856 g006
Figure 7. Breakdown of compression power (P) at different overall CO2 recovery (at pfeed = 5 bara, pperm = 0.3 bar, 2nd stage CO2 recovery 0.7).
Figure 7. Breakdown of compression power (P) at different overall CO2 recovery (at pfeed = 5 bara, pperm = 0.3 bar, 2nd stage CO2 recovery 0.7).
Membranes 11 00856 g007
Figure 8. Breakdown of compression power as function of overall CO2 recovery (at pfeed = 2 bara, pperm = 0.3 bar, 2nd stage CO2 recovery 0.7).
Figure 8. Breakdown of compression power as function of overall CO2 recovery (at pfeed = 2 bara, pperm = 0.3 bar, 2nd stage CO2 recovery 0.7).
Membranes 11 00856 g008
Table 1. Key data for the baseline steel mill [12].
Table 1. Key data for the baseline steel mill [12].
ParameterValue
Hot metal (HM) production capacity [Mt/year]4.0
Use of coking coal [GJ/t HM]16.292
Use of PCI [GJ/t HM]5.032
Natural gas import for electricity production [GJ/t HM]0.85
Overall CO2 emissions [kg/t of HM]2094.4
Power plant average daily power output [MWel]200
Export of power [MW]0
Table 2. BFG and COG composition and flow.
Table 2. BFG and COG composition and flow.
Component/ConditionsUnitBFGCOG
CO2[mol%]22.10.94
CO[mol%]22.343.84
N2[mol%]48.775.74
H2[mol%]3.6359.54
CH4[mol%]-23.04
O2[mol%]-0.19
H2O[mol%]3.153.98
Other HC[mol%]-2.69
P[bara]1.111.11
T[°C]2529
PhaseV/L/SVV
Total flow[kNm3/h]79180
Flow to power plant[kNm3/h]4640
Table 3. Assumptions used for modelling standard equipment [13,14].
Table 3. Assumptions used for modelling standard equipment [13,14].
ParameterUnitValue
Temerature of cooling water[°C]18
Cooling water max. temperature increase[°C]10
Assumed T differences in heat exchangers
Gas/gas[°C]25
Gas/boiling liquid or liquid[°C]10
Liquid/liquid[°C]10
Condensing /liquid[°C]3
Assumed pressure drop in heat exchangers
Liquid phase for hot/cold side[bar]0.4
Gas phase[%]2
Efficiency of compressors/expanders
Isentropic efficiency[%]85
Mechanical efficiency[%]95
Table 4. Membrane permeance data at T = 30 °C used in the system study.
Table 4. Membrane permeance data at T = 30 °C used in the system study.
ComponentQi
mol/m2sPaGPU
CO21.02 × 10−7693
H22.27 × 10−868
CO8.98 × 10−927
N24.33 × 10−913
* GPU = gas permeation unit, 1 GPU = 10−6 cm3(STP)/(cm2 s cm Hg).
Table 5. Plasma torch model specifications.
Table 5. Plasma torch model specifications.
ReactorTargetTarget ValueTemperature Approach on
R1CH4 conversion87.98%CH4, CO2, CO, H2O, H2, C2H4
R2CO2 conversion84.37%CO2 + H2  Membranes 11 00856 i001 CO + H2O
R3CO conversion17.66%2 CO Membranes 11 00856 i001 C + CO2
Table 6. Modelling results for two scenarios of CO2 separation utilizing membrane technology.
Table 6. Modelling results for two scenarios of CO2 separation utilizing membrane technology.
CaseGC-100GC-101
ParameterValue
Membrane feed pressure, 1st & 2nd stage [bar]52
Membrane permeate pressure, 1st & 2nd stage [bar]0.30.3
Total CO2 removed [kt/year]421421
Overall CO2 recovery [%]7556
Amem (Membrane 1) [m2]2487293051
Amem (Membrane 2) [m2]30049906
Feed compressor [kW]121737900
Vacuum compressor (stage-1) [kW]28062787
Compressor permeate (stage-1) [kW]40361917
Vacuum compressor (stage-2) [kW]15251418
Retentate recycle compressor [kW]52147
COG blower [kW]425425
Energy/CO2 captured [GJ/t CO2]1.440.96
Plasma torch power demand [kW]5762557590
Plasma Torch PCI reduction potential [kg/t hot metal]7374
Table 7. Modelling results for the reference case.
Table 7. Modelling results for the reference case.
ParameterValue
CO2 recovery [%]90
Total CO2 removed [kt/year]421
Steam (@3.5 bar) [MW]52.8
(3.6 GJ/tCO2 captured)
COG blower [kW]425
PT [kW]56699
Plasma Torch PCI reduction potential [kg/t hot metal]72
Table 8. Comparative modelling results for the reference case and the case integrating the novel membrane technology.
Table 8. Comparative modelling results for the reference case and the case integrating the novel membrane technology.
Parameter Unit No Capture Reference Scenario 1 *GC-100 GC-101Reference Scenario1 *Reference Scenario 2 **GC-100 GC-101
Baseline PT CO2 conversionHigh PT CO2 conversion
HM production Mt hot metal/year 3.973.973.97 3.97 3.973.973.97 3.97
CO2 conversion PT[%]-84.37%84.37%84.37%95%95%95%95%
Coking coal kg/t hot metal
(GJ/t hot metal)
354.8
(16.29)
354.8
(16.29)
354.8
(16.29)
354.8
(16.29)
354.8
(16.29)
354.8
(16.29)
354.8
(16.29)
354.8
(16.29)
PCI kg/t hot metal
(GJ/t hot metal)
15280
(2.64)
79
(2.61)
78
(2.60)
19
(0.64)
19
(0.64)
18
(0.61)
18
(0.60)
PT syngas to BFkg/t hot metal0152153154152152147148
Natural gas for electricity productionGJ/t hot metal0.850.850.850.850.850.850.850.85
NG for steam productionGJ/t hot metal000000.4300
Electricity importMWel
(GJ/t hot metal)
0183
(1.33)
205
(1.48)
199
(1.45)
184
(1.33)
184
(1.33)
207
(1.50)
199
(1.45)
Energy INGJ/t hot metal22.1720.121.221.219.119.519.219.3
Energy use reduction% 4.80%4.18%4.46%13.81%11.89%13.17%13.49%
CO2 emissionskg/t hot metal20941908190319041751177617501748
CO2 avoided%n.a. 8.9%9.0%9.1%16.4%15.2%16.5%16.5%
CO2 avoidedkt/year07407507531360126513681373
GECRPkgCO2/GJeln.a140126131257239229239
* Waste heat available at the steel mill, ** Waste heat not available at the steel mill.
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Sarić, M.; Dijkstra, J.W.; van Delft, Y.C. CO2 Abatement in the Steel Industry through Carbon Recycle and Electrification by Means of Advanced Polymer Membranes. Membranes 2021, 11, 856. https://doi.org/10.3390/membranes11110856

AMA Style

Sarić M, Dijkstra JW, van Delft YC. CO2 Abatement in the Steel Industry through Carbon Recycle and Electrification by Means of Advanced Polymer Membranes. Membranes. 2021; 11(11):856. https://doi.org/10.3390/membranes11110856

Chicago/Turabian Style

Sarić, Marija, Jan Wilco Dijkstra, and Yvonne C. van Delft. 2021. "CO2 Abatement in the Steel Industry through Carbon Recycle and Electrification by Means of Advanced Polymer Membranes" Membranes 11, no. 11: 856. https://doi.org/10.3390/membranes11110856

APA Style

Sarić, M., Dijkstra, J. W., & van Delft, Y. C. (2021). CO2 Abatement in the Steel Industry through Carbon Recycle and Electrification by Means of Advanced Polymer Membranes. Membranes, 11(11), 856. https://doi.org/10.3390/membranes11110856

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