bench scale development of a hybrid membrane-absorption co ... · bench scale development of a...

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2018 NETL CO 2 Capture Technology Project Review Meeting August 15, 2018 Brice Freeman , Jay Kniep, Richard Baker, Tim Merkel, Pingjiao Hao Gary Rochelle , Eric Chen, Yue Zhang, Junyuan Ding, Brent Sherman Bench Scale Development of a Hybrid Membrane-Absorption CO 2 Capture Process DE-FE0013118 1

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Page 1: Bench Scale Development of a Hybrid Membrane-Absorption CO ... · Bench Scale Development of a Hybrid ... • Blower is performing double duty (through membrane sweep and feed) •

2018 NETL CO2 Capture Technology Project Review Meeting

August 15, 2018

Brice Freeman, Jay Kniep, Richard Baker, Tim Merkel, Pingjiao Hao

Gary Rochelle, Eric Chen, Yue Zhang, Junyuan Ding, Brent Sherman

Bench Scale Development of a Hybrid Membrane-Absorption CO2 Capture Process

DE-FE0013118

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• Award name: Bench-Scale Development of a Hybrid Membrane-Absorption CO2 Capture Process (DE-FE0013118)

• Project period: 10/1/13 to 9/30/18• Funding: $3.2 million DOE + $0.75 million cost share• DOE-NETL Project Manager: Andy Aurelio• Participants: MTR, University of Texas at Austin

• Overall goal: Evaluate a hybrid post-combustion CO2 capture process for coal-fired power plants that combines membrane and amine absorption/stripping technology.

• Project plan: The key project work organized by budget period is as follows:

– BP1: Develop process simulations and initial cost assessments for the hybrid process, determine preferred hybrid configuration. Fabricate membrane modules.

– BP2: Prepare the SRP pilot plant for hybrid testing. Test each capture system separately under hybrid conditions.

– BP3: Conduct a parametric tests on the integrated hybrid capture system at UT-Austin’s SPR Pilot Plant. Use test data to refine simulations and conduct TEA.

Project Overview

2

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CO2 depletedflue gas

U.S. Patents 7,964,020 and 8,025,715

30

40

50

60

70

0 20 40 60 80 100CO2 capture rate (%)

Cost ofCO2 captured

($/tonne)

Single-step process, no recycle

Two-step process with CO2 recycle

DOE target

1) Motivation for the Hybrid Process

Two-step process with CO2 recycle$25/tonne

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1) Optimization of UT Austin’s AFS Capture Process

4

CO2 depletedflue gas

U.S. Patents 7,964,020 and 8,025,715

UT AFS

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2) Example Hybrid Capture Systems

Depending on the arrangement, the selective recycle membrane can:

• Increase the concentration of CO2 in flue gas, and;

• Reduce the removal requirements for the capture unit (Series; OpEx savings)

• Reduce the volume of gas sent to the capture unit (Parallel; CapEx savings)

Hybrid-Series Arrangement Hybrid-Parallel Arrangement

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2) Minimum Energy of Separation for the Hybrid Partner

6 Assumes 98% CO2 Product Purity. Does not consider CO2 compression.

6.86

4.51

6.86

5.49

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

13% CO2 Concentration90% Capture

20% CO2 Concentration50% CO2 Capture

13% CO2 Concentration90% Capture

22% CO2 Concentration95% CO2 Capture

kJ/mole CO2

Thermodynamic Minimum Energy of SeparationHybrid Series Hybrid Parallel

34.3% Reduction 20.0% Reduction

13%

1.3%

20%

10%

13%

1.3%

22%

1.1%

Series Parallel

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2) Hybrid-Series Modeling Results

• The Hybrid Series Configuration:– Minimum O2 concentration in the

combustion air (18% retrofit) limits the CO2concentration in the flue gas to ~17%

– The sweep ratio in the membrane contactor is only ~50% as much as the Hybrid Parallel case.

– To take advantage of the higher CO2concentration, PZ needs to be over stripped (0.18 mol CO2/mol alk). and there is little opportunity to gain benefit at low capture rates (~60%).7

air

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2) Hybrid-Parallel Modeling Results

8

• The Hybrid Parallel Configuration:– Readily achieved 20% CO2 concentration

in the flue gas. – Requires less membrane area (vs.

Series)

– 5 m PZ able to achieve the required high capture rates – 95 to 98%+

– Initial cost study showed significantly lower capture costs for the Hybrid-Parallel vs. Hybrid-Series.

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3) Evaluation of thermally stable tertiary amine blends

• Under C2P3 sponsorship, UT Austin examined numerous PZ blends, screening for:– Absorption rate -- Viscosity – Solvent solubility -- Availability and Cost

• Candidate solvents:– 2-(isopropylamino)ethanol (IPAE)– bis(2-methoxyethyl)amine (BMEA)– 1,2-dimethylimidazole (1,2-DM-IMI)– 2-piperidinoethanol (2PDE)– 2-ethyl-imidzaole (2E-IMI)– 2-ethyl,4-methyl-imidizaole (2E-4M-IMI)

• Modeled 2 m PZ / 3 m HMPD (4-hydroxymethyl, 1-piperidine)9

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4) Pilot Plant Modifications

10

10-in AFS

Cold High Pressure

Cross Exchanger

Absorber Column Ext & Intercooling

skids

Structure modification

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4) Simulated Hybrid Test Conditions

• 29 conditions with 5 m (30 wt%) piperazine (PZ)• Inlet CO2: 12 & 20% (DOE/MTR), 4% (CCP4)• Solvent rate: 3 – 24 gpm with 350 or 600 cfm air• Lean loading: 0.18 – 0.27 mol CO2/equivalent PZ• Rich loading: 0.30 – 0.38• 84 to 99% CO2 removal• Two absorber configurations

– 3 x 10-ft solvent– 2 x 10-ft solvent, 1 x 10-ft water wash

• Stripper Temp: 135oC, 150oC11

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4) Conclusions from Simulated Hybrid Test Campaign

• Absorber & stripper performed well with 20% CO2

• Absorber performance predicted acceptably by “Independence”– Absorber model is most accurate for 4% and 12% CO2

– Additional analysis needed for 20% CO2

– Liquid distribution is poor at high L/G• Energy requirement independent of inlet CO2

– Nominal smallest Weq = 215 kWh/t at 0.23 lean loading• Exchangers provide 4-8 oF pinch with 5 to 10% cold bypass

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0.6

0.8

1.0

1.2

1.4

1.6

1.8

2.0

1 2 3 4 5 6 7 8

Predicted NTU/Measured NTU

L/G (lb/lb)

Failure at high L/G probably due to liquid distribution

20%12%3.5%

Gas inlet CO2

4) Aspen Plus® Model Predictions of CO2 Removal by Independence

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Trough distributors were sized for 7 to

17 GPM but the absorber in several 20% CO2 runs was operated up to 24

GPM.

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14

P-104-DI P-520

30

0

30

05bso be

Feedtank

P-106-DI

H-113 H-520

5 5535

V 540AFS

P-550

Air

0

C-104-DIHP Blower

CO2 Recycle

CO2 Make-upMTR Membrane

Skid

Vent to ATM

#5 Pilot Plant Lessons Learned – managing P and T

Atlas Copco BlowerFlue Gas Cooler

Cooler

• Existing SRP fan upgraded to a blower• Blower is performing double duty (through

membrane sweep and feed)• Small inefficient blowers drive up gas

temperature • Flue gas cooler added to cool flue gas

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#6 Boiler Impacts from B&W Tests(FE-0026414)

• Furnace heat absorption is lower (FEGT)

• Convection pass heat absorption is higher due to improved heat transfer coefficients.

• Convection pass outlet heat flux is higher

• Air heater heat absorption is higher

• Air heater flue gas outlet heat flux is higher

• Total heat absorption is slightly reduced

• Validated earlier derating assumption; 0.75% at 18% O2 in inlet secondary air.

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Observations and Lessons Learned (1 of 3)

• A Hybrid capture system is not a simple combination of two capture technologies.

• The “hybrid partner” must be optimized for the hybrid conditions and be able to capitalize on the preferred capture conditions.

• Hybrid-Parallel is superior to Hybrid-Series configuration.

• The impacts of selective recycle on boiler performance are known and validated via testing (FE-0026414)

• MTR and UT Austin thoroughly explored options for process optimization.

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Observations and Lessons Learned (2 of 3)

• MTR and UT Austin are able to accurately predict capture performance in hybrid conditions.

• The cost of capture from the hybrid system is not materially less than what is possible from the 5 m AFS capture process.

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Observations and Lessons Learned (2 of 3)

• For hybrid’s to be a compelling capture technology option, the lower cost-of-capture must reconcile:– operationally, hybrid system are more complex– likely to have larger footprints– a potentially longer and more complex retrofit/installation

• Areas yet to be studied:– Hybrid-Series with adsorption, cryo– Hybrid-Parallel with slightly reduced capture rate (85%)

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Final Step: Integrated Testing of the Hybrid Capture System at UT Austin’s SRP Pilot Plant

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UT Austin’s SPR Pilot PlantMTR’s Plate-and-Frame Membrane Skid

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Acknowledgment

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This material is based upon work supported by the U.S. Department of Energy under Award Number DE-FE0013118.

Disclaimer: "This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof."

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Hybrid Project Team

• DOE-NETL:– Andy Aurelio (Federal Project Manager)

• MTR: – Brice Freeman (PI)– Richard Baker (Technical Advisor)– Pingjiao “Annie” Hao (Sr. Research Scientist)– Jay Kniep (Research Manager)– Tim Merkel (Dir. R&D)

• U. Texas - Austin:– Gary Rochelle (co-PI)– Eric Chen (Research Associate)– Frank Seibert (Sr. Research Engineer)– Darshan Sachde (Graduate Student)– Brent Sherman (Graduate Student)– Yue Zhang (Graduate Student)– Junyuan Ding (Graduate Student)21