Pressure Swing Adsorption - Carnegie Mellon Universityegon.cheme.cmu.edu › esi › docs › pdf...

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Pressure Swing Adsorption: An Alternate Carbon Capture Process for IGCC Power Plants Alexander W. Dowling Advisor: Lorenz T. Biegler March 11 th , 2012 Process Systems Engineering

Transcript of Pressure Swing Adsorption - Carnegie Mellon Universityegon.cheme.cmu.edu › esi › docs › pdf...

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Pressure Swing Adsorption: An Alternate Carbon Capture

Process for IGCC Power Plants Alexander W. Dowling

Advisor: Lorenz T. Biegler

March 11th, 2012

Process Systems Engineering  

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Research Objectives

•  Demonstrate methods for optimal Pressure Swing Adsorption (PSA) process synthesis

•  Design cost effective PSA cycle for H2-CO2 separation in IGCC power plant

Simplified IGCC Flowsheet

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Optimal Cycle Synthesis

“Parts Box” of Steps

Adsorption Pressure

Equalization Desorption Heavy Product Purge

And many more…

Step  1   Step  2   Step  3   Step  4   Step  n  

?   Discrete variables make this too computationally expensive to solve

…  

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PSA “Superstructure” Only use continuous variables to model generic PSA cycle

α Bottom Reflux Fraction β Top Reflux Fraction φ Feed Fraction Pads Adsorption Pressure Pdes Desorption Pressure

H2 to Turbine

CO2 to Pipeline

Feed from WSR, φ(t)

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PSA Model: Transport Equations

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PSA Model: Adsorption

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Optimization Formulation

3 methods for accommodating CSS constraint 7  

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1. Periodic Boundary Conditions

•  Add bed initial condition variables and periodic boundary condition constraint to optimization formulation

•  Simultaneous optimize cycle and find steady-state state

•  Calculate first derivatives from direct sensitivity equations

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2. Direct Substitution

•  Repeat cycle from initial bed until converged to cyclic steady-state

•  Suitable for derivative free optimization •  Quadratic penalty function for inequality

constraints  

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3. Fixed Horizon

•  Simulate bed for a sufficiently large number of fixed cycles to near cyclic-steady state

•  Calculate first derivatives from adjoint sensitivity equations

•  Suitable for large number of states

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Solver Details

•  IPOPT for derivative based formulations – First derivatives from sensitivity equations – Second derivatives approximated with LBFGS

•  BOBYQA for direct substitution formulation – DFO code based on quadratic approximation to

objective function – Accommodates variable bounds

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Case Study 1

•  Common poor starting •  DFO approach terminates at a much poorer solution

–  Local minimia? •  Derivative based approaches don’t always converge to

satisfied KKT conditions –  Terminate due to resource limits or integrator failure –  Noisy first derivatives, approximate second derivatives

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Case Study 2

•  Common good starting point

•  DFO approach terminates at an infeasible solution

•  PBC sensitivity equation system too large for 5 component case

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Designed Cycle

CO2   CO2   CO2  CO2  

H2   H2  

Step  1   Step  2   Step  3   Step  4   Step  5  

Switch Beds and Repeat

Legend: CO2 Sorbent Loading

High Low

Best 5 Component Solution

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87.2 kWh/tonne CO2 captured 17.2

kWh/tonne

-39.5 kWh/tonne -1.7 kWh/tonne

11.3 kWh/tonne

3.2 MPa

5.1 MPa

15 MPa

< 0.2 MPa

< 2.2 MPa

α Bottom Reflux Fraction β Top Reflux Fraction φ Feed Fraction Pads Adsorption Pressure Pdes Desorption Pressure

H2 to Turbine

Feed from WSR, φ(t)

CO2 to Pipeline

100.0 kWh/tonne

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Technology Comparison

IGCC without Carbon Capture*

IGCC with Selexol Carbon Capture*

IGCC with PSA Carbon Capture

$ 76 / MWh $ 106 / MWh $ 103 / MWh

Economic Metric: Cost of Electricity

Goal: $ 83 / MWh

Majority of cost increases due to Water Gas Shift Reactor.

*Cost and Performance Baseline for Fossil Energy Plants Vol 1: Bit. Coal and Nat. Gas to Elec., NETL 16  

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Conclusions

•  Compared PSA optimal process synthesis formulations

•  Demonstrated novel application of adjoint sensitivity equations to PSA optimization

•  Demonstrated cost competitiveness of PSA for H2-CO2 separation in IGCC power plant

"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." 17