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Cutting Cost of CO2 Capture in Process Industry (CO2stCap)
Project overview & first results for partial CO2 capture at integrated steelworks
Webinar – Thursday, 23 November 2017 Cover image: Overlooking the Quest Capture facility located at Shell -
Scotford, near Fort Saskatchewan, Alberta. Image provided by Shell.
Ragnhild Skagestad
Senior researcher - Tel-Tek
Ragnhild Skagestad is a senior researcher at Tel-Tek in
Porsgrunn, Norway. She is the Project Manager of the
CO2stCap project, and is also a part of the cost
estimation expertise in the project. In Tel-Tek she focus
her work within CO2 capture and transport, energy
optimization in industry and early phase cost estimation.
Ragnhild holds a Master in Mechanical Engineering from
NTNU, Norway.
Maria Sundqvist
Research engineer - Swerea MEFOS
Maria Sundqvist has a background in chemical
engineering from Faculty of Engineering (LTH) at Lund
University and has since 2014 been working as a
research engineer at the department of process
integration at Swerea MEFOS. She works mainly with
projects aiming to investigate the system effects from
implementation of CO2 capture in steel industry. Since
autumn 2016 she is also enrolled as an external PhD at
Luleå University of Technology.
Maximilian Biermann
PhD - Chalmers Technical University
Maximilian Biermann is a graduate in chemical
engineering from Technical University of Munich (TUM).
He has been enrolled as PhD student at Chalmers
Technical University, Gothenburg, since 2016 and works
with CO2 emission reduction in carbon-intensive process
industry - predominantly iron & steel - at the Division of
Energy Technology. He applies process simulation tools
to study cost-efficient designs for CO2 absorption
processes in order to facilitate (partial) carbon capture
and storage.
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Cutting Cost of CO2 Capture
in Process Industry
Short name: CO2stCap
Part I: Overall picture and methods
Presenter: Ragnhild Skagestad, Tel-Tek
GCCSI Webinar 23.11.2017
CO2stCap Project
funded by Climit, Swedish Energy agency, Aga Gas AB, Elkem ASA, Norcem, Brevik AS, SSAB and the research partners
Research partners
Tel-Tek
USN
Chalmers
RISE
Swerea MEFOS
Participants
Industry partners
SSAB
Norcem Brevik AS
Elkem AS
Aga Gas AB
Other partners
CLIMIT
The Swedish Energy Agency
IEAGHG
Global CCS Institute
 Four year project
 Total budget: 2,7 MEUR
 Start up : August 2015
 Planned final event: June 2019
 3 PhD candidates
 13 companiesTel-Tek, USN,
Norcem Brevik AS
Swerea Mefos,
SSAB
RISE; AGA
gas AB,
Elkem AS
Chalmers
www.wikipedia.com
To significantly reduce the cost of CO2 capture in industry.
Suggest a cost effective carbon capture strategy for the future
considering
– utilization of waste heat and intermittent power supply
– variation of operation time
– a more efficient use of biomass resources
– different capture technologies and optimization
– changes in market conditions (eg. electricity price, ETS,
value of district heating)
Motivation
The project will investigate where and how partial CO2
capture may be applied cost efficiently to industry.
• Partial capture solutions with focus on these 4 industry
cases:
• Cement
• Pulp and paper
• Steel
• Silicon (two plants)
• Further development and implementation of modelling
tools to calculate costs and optimize CO2 capture.
Project goals
Continuous capture
– the capture plant follows the operational time of the base plant
• The size of capture plant is adjusted to the available amount of
waste heat
• The size of capture plant is adjusted to the base or average
production scenario instead of peak production
• Capture from some of the stack/sources
Discontinuous capture
– the capture plant operates when the conditions are favourable,
• Day/night and summer/winter variations
• Steam supply
• Electricity price
What is partial capture?
Partial capture is here defined as capture rate below 90 % of the site emission.
Hot water delivery to district
heating- yearly distribution
This amount may be
available at low price!
Jan Feb Mar April May June July Aug Sep Oct Nov Dec
Cement
• The main raw material for cement production is limestone (CaCO3)
• In the process the limestone is reduced to calcium oxide (CaO) and CO2
• Approximately 60% of the CO2 emitted are from limestone, the remaining
40% is fuel
Cement
Raw meal
(limestone and additives)
Cyclone
pre-heater
(multiple stages)
Mill and
drier
Pre-calciner
CaCO3 → CaO +
CO2
Fuel
Fuel
Rotary kiln
Clinker
CoolerMill
Exhaust gas
Cement
Additives
Hot exhaust
gas
Key information about Brevik plant:
• The plant emission is approx. 850 kt CO2 pr year,
including a share of bio CO2.
• Norcem’s own calculations of potential waste heat
recovery show that 33 MW could be made available for
use in CO2 capture by waste heat steam generators
 Both MEA based capture plant and oxycombustion have been investigated
 The cement plant has 33 MW available, and that gives approx. 40 % of the reboiler duty
needed for 90 % capture with MEA
 It is more cost efficient to reduce the flue gas stream, than reduce the capture rate if you
capture the same amount of CO2
• The partial capture scenarios shows a reduction of 21% of the capture cost compared to
90% capture
 Oxycombustion in combination with post combustion technologies is under development
 Oxycombustion based capture requires modifications in the cement plant
 The effect of seasonal variations in electricity prices will be considered
Cement case results
The modern Nordic kraft pulp mill
Lime kiln:
Combustion of
biomass to
transfer CaCO3 to
CaO
Recovery boiler:
Combustion of black liquor to
recover chemicals and
generate process steam
Power (bark) boiler:
Combustion of by-products (bark)
to generate additional process
steam and power
Utilizing residual energy and energy from
low-cost wood by-products such as bark
to fulfil the steam demand from the
capture unit.
Bark is used for district heating in the
winter, but can be a problem to store
during summer.
Special focus is on the competition
between using energy for CO2 capture or
for generation of green electricity
• There is a potential for capture of biogenic CO2 in the
pulp and paper industry to compensate for emissions
in other sectors;
– 1-2 mill ton from state of the art pulp mill sites at a couple
of locations in Sweden and Finland
– Non-integrated, stand alone pulp mills are the primary
target as they have an excess of energy
• The CO2 capture cases investigated for the pulp mill
result in specific cost of CO2 capture in the range of
41-58 EUR/t CO2 captured
– The lowest costs are obtained with max partial capture
(about 65-70% of total emissions) utilizing excess energy
otherwise used to generate electricity in a condensing
turbine
• The CO2 capture cost is low compared to other
industrial sources, but there are few incentives for
CO2 capture; requires new financial measures to
stimulate investments
Pulp and paper
preliminary results
Silicon
Elkem Kristiansand
• The plant produced close to 10 kt Si in 2015
• Corresponding CO2 emission
– 43 kt pr year from fossil energy sources
– and 12 kt pr year from bio based sources
@www.elkem.com
• The main challenge of the Elkem Kristiansand is the low concentration of
CO2 in the flue gas and the low volumes of CO2 emitted. The concentration
is reported to be 1 vol% after the filter
• There is unexploited waste heat available
Silicon
The Elkem Kristiansand case can be distinguished from the other cases as
there is only one flue gas source with a low CO2 concentration (1 vol%)
The low concentration of CO2 limits the CO2 capture technology, and
therefore only MEA based capture has been considered.
Elkem Kristiansand have sufficient waste heat available to capture 90 % of
the CO2. However, the large flue gas volume relative to the CO2 amount
results in a high capture cost.
Silicon results
Steel
Will be presented later in this webinar
Cost Estimation
Method and tool
We needed a tool to compare different cases and get an
overview of both CAPEX and OPEX
Early phase cost estimation
Detail factor estimation method
– Gives installed cost for each equipment
– Show cost drivers
– Sensitivities show the effect of changes
Cost estimation method
• CAPEX
– Calculations are performed using a detail factor estimation method
– The estimate normally has an uncertainty of +/- 35% (80%
confidence interval)
– The costs are calculated by using Aspen In-Plant Cost Estimator for
equipment cost and Tel-Tek’s cost estimation tool to estimate
installed cost.
• OPEX
– Is based on derived mass and energy flows
– The annual costs are calculated based on a utility price list
Overview Tel-Teks cost estimation tool
CO2stCap summary
We are well on our way to achieve our goal to suggest a cost effective carbon
capture strategy for future CCS systems considering utilization of waste heat
and intermittent power generation, a more efficient use of biomass resources,
different capture technologies and optimization, as well as changed market
conditions.
11/24/2017 Chalmers 25
CO2stCap – Cutting Cost of CO2 Capture in Process Industry
Part II - First results for partial CO2 capture at integrated steelworks
Maria Sundqvist (presenter)
maria.sundqvist@swerea.se
Maximilian Biermann (presenter)
max.biermann@chalmers.se
Hassan Ali
hassan.ali@usn.no
Ragnhild Skagestad
ragnhild.skagestad@tel-tek.no
CO2stCap Project
funded by Gassnova (Climit), Energimyndigheten, Aga Linde, Elkem, Norcem, and SSAB
GCCSI Webinar 23.11.2017
11/24/2017 Chalmers 26
Agenda
• Steel plant system & capture scenarios
• Methods
• Results on heat mapping and cost
• Conclusions
11/24/2017 Chalmers 27
• Reference plant: SSAB’s plant in Luleå, Sweden
• Iron production from iron ore pellet
• No rolling mill
• Residual process gases from steel plant sent to
CHP plant
• Production permit 3,000 ktonne slabs/yr
• Mean from last 7 years 1,883 ktonne/yr1
• Model ref based on 2,020 ktonne/yr (2006)
• CO2 emissions
• Mean from last 7 years 3,120 ktonne/yr (1.66
tonne/product)2
http://d-maps.com/m/europa/scandinavie/scandinavie09.gif
CO2stCap - Steel: Reference
1 SSAB Financial reports 2010 - 2016
2 SSAB Luleå Enviromental report SSAB, 2016
Steel slabs
Coke
Plant
CHP
HS
COG
Hot
Blast
O2
COG
Steel Plant
COG
A
S
U
O2
COG
COG
BFG
BFG
BOFG
BOFGDeS
Raw material
BF
BOF
BFG
Lime
Kiln
59%
3%
23%
1%
3%
1%
1%
7%
2%
11/24/2017 Chalmers 28
CO2stCap - Steel: Point sources at SSAB’s Luleå site
Point
Source
HS BFG* CHP
Scenario 1 2 3
CO2
[vol.%]
25.0 24.6 29.6
Flow
[kNm3/h]
179 352 395
T
[°C]
269 29 120
Pressure
[bar(a)]
1.05 1.81 1.05
Note: numbers shown in bubbles refer to share of total site CO2 emissions
Scenario 1:
Hot Stoves
Scenario 2:
Blast furnace gas
Scenario 3:
CHP plant’s flue gas
*(after cleaning)
11/24/2017 Chalmers 29
CO2stCap - Steel: Capture scenarios
BFG
CAPTURE
CO2
LEAN BFG
STEAM
GAS
HOLDER
COG
BOFG
CHP
FLUE GAS
EXCESS
PROCESS
Scenario 2) Blast Furnace Gas (BFG)
100 %CO2,stream capture from stream ≡ 44.5 % CO2,site
CAPTURE
CO2
HOT
STOVES
FLUE GAS
LEAN FLUE
GAS
STEAM
COG
BFG
Scenario 1) Hot Stoves’ flue gas
100 %CO2,stream capture from stream ≡ 23.0 %CO2,site
CAPTURE
CO2
GAS
HOLDER
COG
BOFG
CHP
FLUE GASBFG LEAN
FLUE GAS
EXCESS
PROCESS
STEAM
Scenario 3) CHP plant’s flue gas
100 %CO2,stream capture from stream ≡ 59.8% CO2,site
HOT
STOVES
% CO2,site = share of total site CO2 emissions
%CO2,stream = share of CO2 in gas stream at site
11/24/2017 Chalmers 30
CO2stCap – Steel:
Method
11/24/2017 Chalmers 31
Methods: overview
ABSORBER DESORBER
CO2 RICH GAS
HX
REBOILER
CO2 TO STORAGE
C.W.
Steel slabs
Coke
Plant
CHP
HS
COG
Hot
Blast
O2
COG
Steel Plant
COG
A
S
U
O2
COG
COG
BFG
BFG
BOFG
BOFGDeS
Raw material
BF
BOF
BFG
Lime
Kiln
59%
3%
23%
1%
3%
1%
1%
7%
2%
Aspen simulations of
MEA capture
Steel plant: Process simulations
and excess heat mapping
Individual detail
factor method
Cost estimations:
Capture costs €
(CAPEX + OPEX)
dimensions;
utility demand
available heat
Capture plant Connections
11/24/2017 Chalmers 32
Method: Steel system modeling & heat mapping
• In-house steel system model, see work by Hooey et al. [1]
• Connected mass and energy balances for different process unit models (BF, coking
plant, lime kiln, BOF, desulfurization, etc.)
• Mapping of heat recovery sources:
• Required steam output specification: 2.7 bar 130 °C
• Annual average assumed; constant load in heat supply
• Heat sources selected and pre-ranked according to accessibility (i.e., investment cost,
technology readiness/feasibility)
[1] Hooey et al., ISIJ Int. 50, pp. 924–930, 2010
11/24/2017 Chalmers 33
Method: Aspen simulations of partial capture
• Aspen Plus Model based on Garđarsdóttir et al. [1]
• 30 wt.% MEA as benchmark solvent
• Partial capture design: CO2 capture from entire gas
flow instead of split; variation of L/G at fixed heat
input to maximize captured CO2
• Intercooling and rich split configurations applied
Example: partial capture from CO2 rich gas:
20 vol% @ 200 kg/s
[1] Garđarsdóttir et al., Ind. Eng. Chem. Res., vol. 54, no. 2, pp. 681–690, 2015
capture from entire flow
capture from split flow
full capture 90 %
TANK-1
ABS-1 STR-1
WASH-1
RICH PUMP
FAN-1
CLEAN GAS
LEAN PUMP
OP-2
OP-1 LEAN COOLER
TANK-2 TANK-3
OP-3 OP-4
CO2-RICH GAS
MAKE-UP
WATER
MAKE-UP
MEA
C-TRAIN
INTER-COOLER
COMP-1HEX-1COMP-2HEX-2
COMP-3 HEX-3 COMP-4 HEX-4 CO2 PUMP
CO2
110 bar
OP-5
C.W. C.W.
LP STEAM
30 °C
C.W. C.W.
C.W. C.W.
REFLUX PUMP
REFLUX
DRUM
C.W.
COOL WATER PUMPWATER
TREATMENT
COOLING
WATER
(C.W.)
VALVE
DCC PUMP
DCC COOLER
DCC
DCC PURGE
C.W.
WASH PURGE
CONDENSOR
REBOILER
HX
11/24/2017 Chalmers 34
Method: Estimating capture cost
assumptions
Plant life time [yr] 25
Construction [yr] 2
Rate [%] 7.5
Maintenance [% inst.cost/a] 4
Operation hours [h/a] 8,322
Electricity [€/kWh] 0.030
Cooling [€/m3] 0.022
MEA [€/m3] 1,867
Steam [€/t] *
Battery limit: capture unit equipment (w/o reclaimer)
*Calculated individually for each case and available heat sources
11/24/2017 Chalmers 35
Method: Cost for heat recovery
connections and equipment
• Steam cost:
• Steam pipelines to capture site 1, 2 or 3 according to
respective scenario
• Additional equipment for certain heat sources
included: e.g. new steam system for flue gas heat
recovery; CDQ boiler etc
• Cost for connecting point sources with capture site:
• Flue/process gas to capture site 1, 2 or 3 according to
respective scenario
Blast
furnace
CHP plant
Hot
Stoves
3
2 1
Flue gas
Steam pipeline to be installed
Coke
Oven
BOF
Flaring
Process gas
New dry
slag
granulation
unit
Blast
furnace
CHP plant
Hot
Stoves
3
2 1
Flue gas
Backpressure
Steam pipeline to be installed
Gas flaring
Coke
Oven
BOF
Flaring
Process gas
Flue gas heat recovery
Coke dry quenching
Dry slag granulation
New dry
slag
granulation
unit
Example: pipeline installation for capture site 3
 Aspen In-Plant Cost estimator:
Considers varying distances, basic fittings and insulation included
11/24/2017 Chalmers 36
CO2stCap – Steel:
First Results
11/24/2017 Chalmers 37
Results: Identified levels of available heat
Rating1
heat
recover
y level
Heat source Recovery method
Recovery
efficiency2
Quantity3
(GJ/ h )
Accumulative
quantity4
(GJ/h)
1 HL1 CHP plant
Back pressure
operation
90% 228.1 228.1
2 HL2 + Gas flaring Steam boiler 93% 152.8 380.9
3 HL3
+ Hot stoves’
flue gas
Heat recovery boiler 91% 32.9 413.8
4 HL4 + Hot coke
Coke dry quenching +
heat recovery boiler
67% 41.5 455.4
5 HL5 + Hot slag
Dry slag granulation +
moving bed heat
exchanger + heat
recovery boiler
65% 94.2 549.5
1 Rating according to accessibility (i.e., investment cost, technology readiness) of the excess energy
2 Potential to convert the excess energy into steam
3 Accessible energy from specific source at the investigated plant site (reference case: no capture)
4Acumulated accessible energy at the given heat level at the investigated plant site (reference case: no capture)
11/24/2017 Chalmers 38
Results: Capture scenarios 2 & 3
Presented @ TCCS-9  paper submitted into Int. J. Greenh. Gas Control
11/24/2017 Chalmers 39
Results: Capture scenario 1
Heat level 1* (261 GJ/h) can capture 87 % of CO2 from hot stoves flue gas
 20% of total site emissions captured supplied by heat from back pressure operation +
flue gas WHRB
Capture unit Steam Network
Hot Stoves flue gas
269° C
Hot Stoves flue
gas 143 °C
WHRB sat. Steam
130 °C (2.7 bar)
sat. condensate
130 °C (2.7 bar)
* Heat level 1 modified!
Waste heat recovery boiler
(WHRB) implemented to cool
flue gases/ avoid large direct
contact cooler  9 MW additional
heat to reboiler
11/24/2017 Chalmers 40
Cost results: Cost of steam for HL1 - 4
• Low steam cost < 2€/t for HL1-3, i.e. back-pressure operation, gas flaring
and flue gas waste heat recovery
• Marginal cost for adding coke dry quenching (CDQ) above 60 €/t
 Investment of additional fossil fired boiler with higher capacity likely cheaper
Right : Marginal cost of steam for
each extra heat recovery level;
CHP scenario
← Left: average cost of steam
depending on recovered heat
11/24/2017 Chalmers 41
Cost results: summary
Specific heat MJ/t CO2 3.40 2.80 2.89 2.93 3.00 3.08 3.10 3.10 3.11
Capture from stream % 87.4 46.2 79.2 84.9 91.1 32.2 53.6 58.0 63.7
Specific cost €/t CO2 captured 32.6 28.0 26.7 26.5 33.4 36.2 32.6 32.3 39.7
Sc. 1 Scenario 2 Scenario 3
11/24/2017 Chalmers 42
Key findings so far
• Capture from the blast furnace at heat level 1 has the lowest absolute cost (CAPEX + OPEX): 18
M€/a; ~ 20% of total site emissions.
• Capture from the blast furnace at heat level 3 has the lowest specific costs:
26.5 €/t CO2; ~ 37% of total site emissions
• Implementation of all 5 heat recovery levels may power the capture of 43 % of total site
emissions
• Capture from BFG outperforms capture from flue gases (HS/CHP) in capture cost
• OPEX dominates over CAPEX for all scenarios, especially for higher capture rates due to
• economy of scale, and
• increasing steam price
11/24/2017 Chalmers 43
Concluding remarks
• ”Low-hanging fruit”: Partial capture of CO2 from steel industry is relatively low cost
and considerable emission reductions can be achieved!
• Fast deployment of partial capture has potential to help incentivise large scale CCS
Full capture
CCS sites
(≥ 90 % capture)
carbon-free/new
technology sites
partial capture
sites (CCS)
potential increased
capture on site level
electrification
hydrogen as fuel
(electrification)
new production
pathways
Biomass
energy
efficiency
fuel
change
CO2emissionreductionpotential
100 %
Initial deployment in time
• Partial capture can be applied in
combination with other mitigation
options, e.g. biomass and fuel
change
Decarbonizing process industry
11/24/2017 Chalmers 44
Acknowledgements
The presenters wish to thank the partners in the CO2stCap project:
The University College of Southeast Norway, Tel-Tek, Chalmers University of Technology,
RISE (Innventia), Swerea MEFOS, GCCSI, IEAGHG, The Swedish Energy Agency,
Gassnova, SSAB, Elkem AS, Norcem Brevik AS and AGA Gas AB.
Thank you for listening!
Questions / Discussion
Please submit your questions in
English, directly into the
GoToWebinar control panel.
Please submit any feedback to: webinar@globalccsinstitute.com

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Cutting Cost of CO2 Capture in Process Industry (CO2stCap) Project overview & first results for partial CO2 capture at integrated steelworks

  • 1. Cutting Cost of CO2 Capture in Process Industry (CO2stCap) Project overview & first results for partial CO2 capture at integrated steelworks Webinar – Thursday, 23 November 2017 Cover image: Overlooking the Quest Capture facility located at Shell - Scotford, near Fort Saskatchewan, Alberta. Image provided by Shell.
  • 2. Ragnhild Skagestad Senior researcher - Tel-Tek Ragnhild Skagestad is a senior researcher at Tel-Tek in Porsgrunn, Norway. She is the Project Manager of the CO2stCap project, and is also a part of the cost estimation expertise in the project. In Tel-Tek she focus her work within CO2 capture and transport, energy optimization in industry and early phase cost estimation. Ragnhild holds a Master in Mechanical Engineering from NTNU, Norway.
  • 3. Maria Sundqvist Research engineer - Swerea MEFOS Maria Sundqvist has a background in chemical engineering from Faculty of Engineering (LTH) at Lund University and has since 2014 been working as a research engineer at the department of process integration at Swerea MEFOS. She works mainly with projects aiming to investigate the system effects from implementation of CO2 capture in steel industry. Since autumn 2016 she is also enrolled as an external PhD at Luleå University of Technology.
  • 4. Maximilian Biermann PhD - Chalmers Technical University Maximilian Biermann is a graduate in chemical engineering from Technical University of Munich (TUM). He has been enrolled as PhD student at Chalmers Technical University, Gothenburg, since 2016 and works with CO2 emission reduction in carbon-intensive process industry - predominantly iron & steel - at the Division of Energy Technology. He applies process simulation tools to study cost-efficient designs for CO2 absorption processes in order to facilitate (partial) carbon capture and storage.
  • 5. Questions  We will collect questions during the presentation.  Your MC will pose these question to the presenter after the presentation.  Please submit your questions directly into the GoToWebinar control panel.
  • 6. Cutting Cost of CO2 Capture in Process Industry Short name: CO2stCap Part I: Overall picture and methods Presenter: Ragnhild Skagestad, Tel-Tek GCCSI Webinar 23.11.2017 CO2stCap Project funded by Climit, Swedish Energy agency, Aga Gas AB, Elkem ASA, Norcem, Brevik AS, SSAB and the research partners
  • 7. Research partners Tel-Tek USN Chalmers RISE Swerea MEFOS Participants Industry partners SSAB Norcem Brevik AS Elkem AS Aga Gas AB Other partners CLIMIT The Swedish Energy Agency IEAGHG Global CCS Institute  Four year project  Total budget: 2,7 MEUR  Start up : August 2015  Planned final event: June 2019  3 PhD candidates  13 companiesTel-Tek, USN, Norcem Brevik AS Swerea Mefos, SSAB RISE; AGA gas AB, Elkem AS Chalmers www.wikipedia.com
  • 8. To significantly reduce the cost of CO2 capture in industry. Suggest a cost effective carbon capture strategy for the future considering – utilization of waste heat and intermittent power supply – variation of operation time – a more efficient use of biomass resources – different capture technologies and optimization – changes in market conditions (eg. electricity price, ETS, value of district heating) Motivation
  • 9. The project will investigate where and how partial CO2 capture may be applied cost efficiently to industry. • Partial capture solutions with focus on these 4 industry cases: • Cement • Pulp and paper • Steel • Silicon (two plants) • Further development and implementation of modelling tools to calculate costs and optimize CO2 capture. Project goals
  • 10. Continuous capture – the capture plant follows the operational time of the base plant • The size of capture plant is adjusted to the available amount of waste heat • The size of capture plant is adjusted to the base or average production scenario instead of peak production • Capture from some of the stack/sources Discontinuous capture – the capture plant operates when the conditions are favourable, • Day/night and summer/winter variations • Steam supply • Electricity price What is partial capture? Partial capture is here defined as capture rate below 90 % of the site emission.
  • 11. Hot water delivery to district heating- yearly distribution This amount may be available at low price! Jan Feb Mar April May June July Aug Sep Oct Nov Dec
  • 12. Cement • The main raw material for cement production is limestone (CaCO3) • In the process the limestone is reduced to calcium oxide (CaO) and CO2 • Approximately 60% of the CO2 emitted are from limestone, the remaining 40% is fuel
  • 13. Cement Raw meal (limestone and additives) Cyclone pre-heater (multiple stages) Mill and drier Pre-calciner CaCO3 → CaO + CO2 Fuel Fuel Rotary kiln Clinker CoolerMill Exhaust gas Cement Additives Hot exhaust gas Key information about Brevik plant: • The plant emission is approx. 850 kt CO2 pr year, including a share of bio CO2. • Norcem’s own calculations of potential waste heat recovery show that 33 MW could be made available for use in CO2 capture by waste heat steam generators
  • 14.  Both MEA based capture plant and oxycombustion have been investigated  The cement plant has 33 MW available, and that gives approx. 40 % of the reboiler duty needed for 90 % capture with MEA  It is more cost efficient to reduce the flue gas stream, than reduce the capture rate if you capture the same amount of CO2 • The partial capture scenarios shows a reduction of 21% of the capture cost compared to 90% capture  Oxycombustion in combination with post combustion technologies is under development  Oxycombustion based capture requires modifications in the cement plant  The effect of seasonal variations in electricity prices will be considered Cement case results
  • 15. The modern Nordic kraft pulp mill Lime kiln: Combustion of biomass to transfer CaCO3 to CaO Recovery boiler: Combustion of black liquor to recover chemicals and generate process steam Power (bark) boiler: Combustion of by-products (bark) to generate additional process steam and power Utilizing residual energy and energy from low-cost wood by-products such as bark to fulfil the steam demand from the capture unit. Bark is used for district heating in the winter, but can be a problem to store during summer. Special focus is on the competition between using energy for CO2 capture or for generation of green electricity
  • 16. • There is a potential for capture of biogenic CO2 in the pulp and paper industry to compensate for emissions in other sectors; – 1-2 mill ton from state of the art pulp mill sites at a couple of locations in Sweden and Finland – Non-integrated, stand alone pulp mills are the primary target as they have an excess of energy • The CO2 capture cases investigated for the pulp mill result in specific cost of CO2 capture in the range of 41-58 EUR/t CO2 captured – The lowest costs are obtained with max partial capture (about 65-70% of total emissions) utilizing excess energy otherwise used to generate electricity in a condensing turbine • The CO2 capture cost is low compared to other industrial sources, but there are few incentives for CO2 capture; requires new financial measures to stimulate investments Pulp and paper preliminary results
  • 17. Silicon Elkem Kristiansand • The plant produced close to 10 kt Si in 2015 • Corresponding CO2 emission – 43 kt pr year from fossil energy sources – and 12 kt pr year from bio based sources @www.elkem.com
  • 18. • The main challenge of the Elkem Kristiansand is the low concentration of CO2 in the flue gas and the low volumes of CO2 emitted. The concentration is reported to be 1 vol% after the filter • There is unexploited waste heat available Silicon
  • 19. The Elkem Kristiansand case can be distinguished from the other cases as there is only one flue gas source with a low CO2 concentration (1 vol%) The low concentration of CO2 limits the CO2 capture technology, and therefore only MEA based capture has been considered. Elkem Kristiansand have sufficient waste heat available to capture 90 % of the CO2. However, the large flue gas volume relative to the CO2 amount results in a high capture cost. Silicon results
  • 20. Steel Will be presented later in this webinar
  • 22. We needed a tool to compare different cases and get an overview of both CAPEX and OPEX Early phase cost estimation Detail factor estimation method – Gives installed cost for each equipment – Show cost drivers – Sensitivities show the effect of changes Cost estimation method
  • 23. • CAPEX – Calculations are performed using a detail factor estimation method – The estimate normally has an uncertainty of +/- 35% (80% confidence interval) – The costs are calculated by using Aspen In-Plant Cost Estimator for equipment cost and Tel-Tek’s cost estimation tool to estimate installed cost. • OPEX – Is based on derived mass and energy flows – The annual costs are calculated based on a utility price list Overview Tel-Teks cost estimation tool
  • 24. CO2stCap summary We are well on our way to achieve our goal to suggest a cost effective carbon capture strategy for future CCS systems considering utilization of waste heat and intermittent power generation, a more efficient use of biomass resources, different capture technologies and optimization, as well as changed market conditions.
  • 25. 11/24/2017 Chalmers 25 CO2stCap – Cutting Cost of CO2 Capture in Process Industry Part II - First results for partial CO2 capture at integrated steelworks Maria Sundqvist (presenter) maria.sundqvist@swerea.se Maximilian Biermann (presenter) max.biermann@chalmers.se Hassan Ali hassan.ali@usn.no Ragnhild Skagestad ragnhild.skagestad@tel-tek.no CO2stCap Project funded by Gassnova (Climit), Energimyndigheten, Aga Linde, Elkem, Norcem, and SSAB GCCSI Webinar 23.11.2017
  • 26. 11/24/2017 Chalmers 26 Agenda • Steel plant system & capture scenarios • Methods • Results on heat mapping and cost • Conclusions
  • 27. 11/24/2017 Chalmers 27 • Reference plant: SSAB’s plant in Luleå, Sweden • Iron production from iron ore pellet • No rolling mill • Residual process gases from steel plant sent to CHP plant • Production permit 3,000 ktonne slabs/yr • Mean from last 7 years 1,883 ktonne/yr1 • Model ref based on 2,020 ktonne/yr (2006) • CO2 emissions • Mean from last 7 years 3,120 ktonne/yr (1.66 tonne/product)2 http://d-maps.com/m/europa/scandinavie/scandinavie09.gif CO2stCap - Steel: Reference 1 SSAB Financial reports 2010 - 2016 2 SSAB Luleå Enviromental report SSAB, 2016
  • 28. Steel slabs Coke Plant CHP HS COG Hot Blast O2 COG Steel Plant COG A S U O2 COG COG BFG BFG BOFG BOFGDeS Raw material BF BOF BFG Lime Kiln 59% 3% 23% 1% 3% 1% 1% 7% 2% 11/24/2017 Chalmers 28 CO2stCap - Steel: Point sources at SSAB’s Luleå site Point Source HS BFG* CHP Scenario 1 2 3 CO2 [vol.%] 25.0 24.6 29.6 Flow [kNm3/h] 179 352 395 T [°C] 269 29 120 Pressure [bar(a)] 1.05 1.81 1.05 Note: numbers shown in bubbles refer to share of total site CO2 emissions Scenario 1: Hot Stoves Scenario 2: Blast furnace gas Scenario 3: CHP plant’s flue gas *(after cleaning)
  • 29. 11/24/2017 Chalmers 29 CO2stCap - Steel: Capture scenarios BFG CAPTURE CO2 LEAN BFG STEAM GAS HOLDER COG BOFG CHP FLUE GAS EXCESS PROCESS Scenario 2) Blast Furnace Gas (BFG) 100 %CO2,stream capture from stream ≡ 44.5 % CO2,site CAPTURE CO2 HOT STOVES FLUE GAS LEAN FLUE GAS STEAM COG BFG Scenario 1) Hot Stoves’ flue gas 100 %CO2,stream capture from stream ≡ 23.0 %CO2,site CAPTURE CO2 GAS HOLDER COG BOFG CHP FLUE GASBFG LEAN FLUE GAS EXCESS PROCESS STEAM Scenario 3) CHP plant’s flue gas 100 %CO2,stream capture from stream ≡ 59.8% CO2,site HOT STOVES % CO2,site = share of total site CO2 emissions %CO2,stream = share of CO2 in gas stream at site
  • 30. 11/24/2017 Chalmers 30 CO2stCap – Steel: Method
  • 31. 11/24/2017 Chalmers 31 Methods: overview ABSORBER DESORBER CO2 RICH GAS HX REBOILER CO2 TO STORAGE C.W. Steel slabs Coke Plant CHP HS COG Hot Blast O2 COG Steel Plant COG A S U O2 COG COG BFG BFG BOFG BOFGDeS Raw material BF BOF BFG Lime Kiln 59% 3% 23% 1% 3% 1% 1% 7% 2% Aspen simulations of MEA capture Steel plant: Process simulations and excess heat mapping Individual detail factor method Cost estimations: Capture costs € (CAPEX + OPEX) dimensions; utility demand available heat Capture plant Connections
  • 32. 11/24/2017 Chalmers 32 Method: Steel system modeling & heat mapping • In-house steel system model, see work by Hooey et al. [1] • Connected mass and energy balances for different process unit models (BF, coking plant, lime kiln, BOF, desulfurization, etc.) • Mapping of heat recovery sources: • Required steam output specification: 2.7 bar 130 °C • Annual average assumed; constant load in heat supply • Heat sources selected and pre-ranked according to accessibility (i.e., investment cost, technology readiness/feasibility) [1] Hooey et al., ISIJ Int. 50, pp. 924–930, 2010
  • 33. 11/24/2017 Chalmers 33 Method: Aspen simulations of partial capture • Aspen Plus Model based on Garđarsdóttir et al. [1] • 30 wt.% MEA as benchmark solvent • Partial capture design: CO2 capture from entire gas flow instead of split; variation of L/G at fixed heat input to maximize captured CO2 • Intercooling and rich split configurations applied Example: partial capture from CO2 rich gas: 20 vol% @ 200 kg/s [1] Garđarsdóttir et al., Ind. Eng. Chem. Res., vol. 54, no. 2, pp. 681–690, 2015 capture from entire flow capture from split flow full capture 90 %
  • 34. TANK-1 ABS-1 STR-1 WASH-1 RICH PUMP FAN-1 CLEAN GAS LEAN PUMP OP-2 OP-1 LEAN COOLER TANK-2 TANK-3 OP-3 OP-4 CO2-RICH GAS MAKE-UP WATER MAKE-UP MEA C-TRAIN INTER-COOLER COMP-1HEX-1COMP-2HEX-2 COMP-3 HEX-3 COMP-4 HEX-4 CO2 PUMP CO2 110 bar OP-5 C.W. C.W. LP STEAM 30 °C C.W. C.W. C.W. C.W. REFLUX PUMP REFLUX DRUM C.W. COOL WATER PUMPWATER TREATMENT COOLING WATER (C.W.) VALVE DCC PUMP DCC COOLER DCC DCC PURGE C.W. WASH PURGE CONDENSOR REBOILER HX 11/24/2017 Chalmers 34 Method: Estimating capture cost assumptions Plant life time [yr] 25 Construction [yr] 2 Rate [%] 7.5 Maintenance [% inst.cost/a] 4 Operation hours [h/a] 8,322 Electricity [€/kWh] 0.030 Cooling [€/m3] 0.022 MEA [€/m3] 1,867 Steam [€/t] * Battery limit: capture unit equipment (w/o reclaimer) *Calculated individually for each case and available heat sources
  • 35. 11/24/2017 Chalmers 35 Method: Cost for heat recovery connections and equipment • Steam cost: • Steam pipelines to capture site 1, 2 or 3 according to respective scenario • Additional equipment for certain heat sources included: e.g. new steam system for flue gas heat recovery; CDQ boiler etc • Cost for connecting point sources with capture site: • Flue/process gas to capture site 1, 2 or 3 according to respective scenario Blast furnace CHP plant Hot Stoves 3 2 1 Flue gas Steam pipeline to be installed Coke Oven BOF Flaring Process gas New dry slag granulation unit Blast furnace CHP plant Hot Stoves 3 2 1 Flue gas Backpressure Steam pipeline to be installed Gas flaring Coke Oven BOF Flaring Process gas Flue gas heat recovery Coke dry quenching Dry slag granulation New dry slag granulation unit Example: pipeline installation for capture site 3  Aspen In-Plant Cost estimator: Considers varying distances, basic fittings and insulation included
  • 36. 11/24/2017 Chalmers 36 CO2stCap – Steel: First Results
  • 37. 11/24/2017 Chalmers 37 Results: Identified levels of available heat Rating1 heat recover y level Heat source Recovery method Recovery efficiency2 Quantity3 (GJ/ h ) Accumulative quantity4 (GJ/h) 1 HL1 CHP plant Back pressure operation 90% 228.1 228.1 2 HL2 + Gas flaring Steam boiler 93% 152.8 380.9 3 HL3 + Hot stoves’ flue gas Heat recovery boiler 91% 32.9 413.8 4 HL4 + Hot coke Coke dry quenching + heat recovery boiler 67% 41.5 455.4 5 HL5 + Hot slag Dry slag granulation + moving bed heat exchanger + heat recovery boiler 65% 94.2 549.5 1 Rating according to accessibility (i.e., investment cost, technology readiness) of the excess energy 2 Potential to convert the excess energy into steam 3 Accessible energy from specific source at the investigated plant site (reference case: no capture) 4Acumulated accessible energy at the given heat level at the investigated plant site (reference case: no capture)
  • 38. 11/24/2017 Chalmers 38 Results: Capture scenarios 2 & 3 Presented @ TCCS-9  paper submitted into Int. J. Greenh. Gas Control
  • 39. 11/24/2017 Chalmers 39 Results: Capture scenario 1 Heat level 1* (261 GJ/h) can capture 87 % of CO2 from hot stoves flue gas  20% of total site emissions captured supplied by heat from back pressure operation + flue gas WHRB Capture unit Steam Network Hot Stoves flue gas 269° C Hot Stoves flue gas 143 °C WHRB sat. Steam 130 °C (2.7 bar) sat. condensate 130 °C (2.7 bar) * Heat level 1 modified! Waste heat recovery boiler (WHRB) implemented to cool flue gases/ avoid large direct contact cooler  9 MW additional heat to reboiler
  • 40. 11/24/2017 Chalmers 40 Cost results: Cost of steam for HL1 - 4 • Low steam cost < 2€/t for HL1-3, i.e. back-pressure operation, gas flaring and flue gas waste heat recovery • Marginal cost for adding coke dry quenching (CDQ) above 60 €/t  Investment of additional fossil fired boiler with higher capacity likely cheaper Right : Marginal cost of steam for each extra heat recovery level; CHP scenario ← Left: average cost of steam depending on recovered heat
  • 41. 11/24/2017 Chalmers 41 Cost results: summary Specific heat MJ/t CO2 3.40 2.80 2.89 2.93 3.00 3.08 3.10 3.10 3.11 Capture from stream % 87.4 46.2 79.2 84.9 91.1 32.2 53.6 58.0 63.7 Specific cost €/t CO2 captured 32.6 28.0 26.7 26.5 33.4 36.2 32.6 32.3 39.7 Sc. 1 Scenario 2 Scenario 3
  • 42. 11/24/2017 Chalmers 42 Key findings so far • Capture from the blast furnace at heat level 1 has the lowest absolute cost (CAPEX + OPEX): 18 M€/a; ~ 20% of total site emissions. • Capture from the blast furnace at heat level 3 has the lowest specific costs: 26.5 €/t CO2; ~ 37% of total site emissions • Implementation of all 5 heat recovery levels may power the capture of 43 % of total site emissions • Capture from BFG outperforms capture from flue gases (HS/CHP) in capture cost • OPEX dominates over CAPEX for all scenarios, especially for higher capture rates due to • economy of scale, and • increasing steam price
  • 43. 11/24/2017 Chalmers 43 Concluding remarks • ”Low-hanging fruit”: Partial capture of CO2 from steel industry is relatively low cost and considerable emission reductions can be achieved! • Fast deployment of partial capture has potential to help incentivise large scale CCS Full capture CCS sites (≥ 90 % capture) carbon-free/new technology sites partial capture sites (CCS) potential increased capture on site level electrification hydrogen as fuel (electrification) new production pathways Biomass energy efficiency fuel change CO2emissionreductionpotential 100 % Initial deployment in time • Partial capture can be applied in combination with other mitigation options, e.g. biomass and fuel change Decarbonizing process industry
  • 44. 11/24/2017 Chalmers 44 Acknowledgements The presenters wish to thank the partners in the CO2stCap project: The University College of Southeast Norway, Tel-Tek, Chalmers University of Technology, RISE (Innventia), Swerea MEFOS, GCCSI, IEAGHG, The Swedish Energy Agency, Gassnova, SSAB, Elkem AS, Norcem Brevik AS and AGA Gas AB. Thank you for listening!
  • 45. Questions / Discussion Please submit your questions in English, directly into the GoToWebinar control panel.
  • 46. Please submit any feedback to: webinar@globalccsinstitute.com

Editor's Notes

  1. The project will, from a cost perspective, evaluate different capture efficiencies from industries previously identified as suitable for CCS. The project will contribute to substantial reduction in cost of CO2 capture by focusing on CO2 sources suitable for capture in industry sources.
  2. 85-95% capture rate of all emissions El cost from grid 8760 hours operation time 25 years of operation No use of waste heat
  3. Title, introduction and reason
  4. Target: 20 minutes
  5. This is a multi-stack facility -> one aspect of partial capture includes the selection of the most suitable stacks at a site. Here, this is CHP flue gas & HS flue gas due to high CO2 concentration (more cost effective); Also, the option of capturing from the pressurized CO2 rich blast furnace gas is evaluated. Mention: co2 concnetrations, -majority of gas to CHP is BFG (90%) - Low level vs high level integration (end of pipe vs process gas)
  6. -> message: Different scenarios in detail, have different capture potential
  7. Three models used; We see how they are connected or rather what information was transferred between the models
  8. -In house model by Swerea Mefos which solves mass and energy balances for process units in the steel process. -mapped possible heat recovery sources for partial capture: Specify steam to.
  9. In aspen plus we model partial capture, assuming 30% MEA solvent. What is different from other works: we do not aim for 90% capture rate;
  10. Hours: 95 % annual capacity. The blastfurnace runs at approx. 98%; CHP at 99 % Electricity: orients itself to average of Nordpool spotmarket prices for the years 2013-2016: ca. 29 €/MWh; underlying thought – any electricity demand for partial capture will be covered by CHP electricity -> loss in revenue from power generation.
  11. For all other equipments in steam netwrok for HL3, separate installation factors (which includes different % for indirect costs, civil & engg costs, contingency etc) are being used.
  12. What we see: average cost of steam in each heat level Reference value in project 17 €/t Cost for HL5: not estimated yet
  13. CAPEX: for capture unit CAPEX connection: for gas pipeline to capture unit
  14. Low hanging fruit: relative to full capture absolut cost, relative to other mitigation options for steel; for sweden: do partial capture with nearly 50 (45%) at 3 blast furnaces in the country, reduce national emissions by 5 %!! Ramp up may be potentially speeded up Combination with other mitigation options; biomass -> PCI;