A Plant-Level Simulation Model for Evaluating CO2 Capture ... · PDF fileA Plant-Level...

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The IECM: A Plant-Level Simulation Model for Evaluating CO 2 Capture Options Edward S. Rubin Department of Engineering and Public Policy Department of Mechanical Engineering Carnegie Mellon University Pittsburgh, Pennsylvania Presentation to the UK-US CCS R&D Workshop Pittsburgh, PA May 10, 2010

Transcript of A Plant-Level Simulation Model for Evaluating CO2 Capture ... · PDF fileA Plant-Level...

The IECM:

A Plant-Level Simulation Model

for Evaluating CO2 Capture Options

Edward S. RubinDepartment of Engineering and Public Policy

Department of Mechanical Engineering

Carnegie Mellon University

Pittsburgh, Pennsylvania

Presentation to the

UK-US CCS R&D Workshop

Pittsburgh, PA

May 10, 2010

E.S. Rubin, Carnegie Mellon

Outline

• Brief overview of the IECM

• Highlights of new model capabilities

• Illustrative applications

• Planned future enhancements

IECM Overview

E.S. Rubin, Carnegie Mellon

E.S. Rubin, Carnegie Mellon

The IECM: Integrated Environmental Control Model

• A desktop/laptop computer model

developed for DOE/NETL; free and

available at: www.iecm-online.com

• Provides systematic estimates of

performance, emissions, costs and

uncertainties using user-specified

designs and parameter values for:

PC, IGCC and NGCC plants

All flue/fuel gas treatment systems

CO2 capture and storage options (pre- and post-combustion, oxy-combustion; transport, storage)

E.S. Rubin, Carnegie Mellon

Modeling Approach

• Systems Analysis Approach

• Process Performance Models

• Engineering Economic Models

• Advanced Software Capabilities

Probabilistic analysis capability

User-friendly graphical interface

Built-in graphs/charts capability

Easy to add or update models

E.S. Rubin, Carnegie Mellon

IECM Software Package

Power

Plant

Models

Graphical

User

Interface

Plant and

Fuel

Databases

Fuel Properties- Heating Value

- Composition

- Delivered Cost

Plant Design- Conversion Process

- Emission Controls

- Solid Waste Mgmt

- Chemical Inputs

Cost Factors- O&M Costs

- Capital Costs

- Financial Factors

Plant & ProcessPerformance

- Efficiency

- Resource use

EnvironmentalEmissions

- Air, water, land

Plant & ProcessCosts - Capital

- O&M- COE

E.S. Rubin, Carnegie Mellon

IECM Technologies for PC Plants(excluding CO2 capture, transport and sequestration)

Particulate Removal• Cold-side ESP• Fabric filter

- Reverse Air- Pulse Jet

SO2 Removal• Wet limestone

- Conventional- Forced oxidation- Additives

• Wet lime• Lime spray dryer• Combined SO2/NOx systems

Solids Management• Ash pond• Landfill• Stacking• Co-mixing• Byproducts

Boiler Types• Subcritical• Supercritical• Ultra-supercritical

Furnace Firing Types• Tangential• Wall• Cyclone

Furnace NOx Controls• LNB• SNCR• SNCR + LNB• Gas reburn

NOx Removal• Hot-side SCR• Combined SO2/NOx systems

Mercury Removal• Carbon/sorbent injection

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IECM Technologies for CCS

• CO2 Capture Options

PC Plants: - Amine systems (post-combustion) (w/optional aux. NG boiler)

- Oxyfuel combustion w/ flue gas recycle

NGCC Plants: - Amine systems (post-combustion)

IGCC Plants: - Water gas shift + CO2 capture (pre-combustion)

• CO2 Transport Options

Pipelines (six U.S. regions)

Other (user-specified)

• CO2 Sequestration Options

Geological: Enhanced Oil Recovery (EOR)

Geological: Deep Saline Formation

Others (user-specified): ECBM; Ocean

E.S. Rubin, Carnegie Mellon

Models Account forMulti-Pollutant Interactions

Criteria

Air

Pollutants

PM

SO2

NOx

Hazardous

Air

Pollutants

Hg

HCl

H2SO4

CO2

CH4

Greenhouse

Gas

Emissions

E.S. Rubin, Carnegie Mellon

Profile of Recent IECM Users

Type of Organization

Geographic Region

Utility

28%

Company

44%

Education

17%

Government

11%

Asia

4%

South America

<1% Australia

2%

North America

71%

Europe

23%

~ 500 organizations

E.S. Rubin, Carnegie Mellon

Model Applications

• Process design

• Technology

evaluation

• Cost estimation

• R&D management

• Risk analysis

• Environmental

compliance

• Marketing studies

• Strategic planning

Recent Developments

E.S. Rubin, Carnegie Mellon

E.S. Rubin, Carnegie Mellon

New IECM Release(Version 6.2.4, May 2010)

• New Technology Options Advanced amine system for CO2 capture

Improved steam cycle models (subC-, SC-, USC-PC)

Dry feed gasifier and sulfur capture system (Shell)

Added gas turbine option for IGCC plants (GE 7FB)

Wet tower, dry tower and once-thru cooling water systems

Wastewater treatment systems for PC plants

• Updated Capital and O&M Cost Models Aligned to NETL 2007 baseline studies

New default values for a number of model parameters

• New Software Capabilities Additional user-friendly screens for data entry

Advanced graphing and uncertainty analysis capabilities

A quick tour of

some model features

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PC Plant with CCS

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Set Parameters for CO2 Capture System

E.S. Rubin, Carnegie Mellon

Performance Model for Amine Capture Systems

Flue Gas In:

G, Tfg, yin

MEA makeup

Absorber

Captured CO2

(99.8% pure)

Regenerated Solvent

CO2 CO2

Regenerator

L, Tsolv, C, lean

max

Qreg

lean

CO2 = f(L/G, C, yin, lean, Tfg, Tsolv, H, D)

Flue

Gas

Out

Results for CO2 Capture System

E.S. Rubin, Carnegie Mellon

PC Plant w/ Oxy-Combustion

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NGCC Plant with CCS

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IGCC Plant with CCS

E.S. Rubin, Carnegie Mellon

E.S. Rubin, Carnegie Mellon

IECM Gasifier Model

Fuel%C, H, S, O, N, Cl

%Ash

WaterH2O

OxidantO2

Raw Gas

% CO

% H2

% CH4

% CO2

% H2S

% COS

% NH3

Slag

New performance models for a

Shell (dry feed) gasifier (based

on NETL studies and Aspen-

Plus simulations)Cost models based on

NETL Baseline Study

E.S. Rubin, Carnegie Mellon

Wet Tower Performance Model

Cooling water quantity:

Makeup water quantity:

2000

)1(1000)3413(

w

auxsc

T

MWgHrm

blowdowndriftevapmakeup mmmm

drift

evap

blowdown mCC

mm

1

cdrift mm %001.0

)( 12 WWmm aevap

where:= auxiliary cooling load

= steam cycle heat rate

= plant gross output

= water temp. change= air flow rate= inlet air humidity = outlet air humidity= cycle of concentration

sHr

aux

wT

gMW

am

1W

2W

CC

IECM User Interface

E.S. Rubin, Carnegie Mellon

ACC Performance Model

• Configuration: A-frame force-drafted ACC with double-

row tubes. Each ACC cell consists of multiple bundles

serviced by a fan

• Key input parameters:

Air dry bulb temperature

Turbine backpressure

Inlet steam temperature

Fan efficiency

Auxiliary cooling load

• Key output parameters:

Footprint area

Number of ACC cells

Fan power required

IECM User Interface

E.S. Rubin, Carnegie Mellon

Model Allows a Range of Water Treatment System Options

Once-Through

Cooling with Basic

Waste Water

Treatment

Evaporative

Cooling with Zero

Discharge

Water & Waste

Water Systems

E.S. Rubin, Carnegie Mellon

IECM Pipeline Transport Model

Cost Model Inputs

Performance Inputs

Results

Results

E.S. Rubin, Carnegie Mellon

Saline Formation Storage Model

Performance

Inputs

Cost

Model

Inputs

Results

Results

E.S. Rubin, Carnegie Mellon

New Graphing Options

• Can easily and

quickly plot any

model variable as

a function of any

other variable

• Can display results

from up to six

different runs on

same graph

• All graphs and data

easily exported for

display or further

processing

Illustrative Application

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E.S. Rubin, Carnegie Mellon

Effect of Advanced Solvent on COE

40

80

120

160

0 20 40 60 80 100

Co

st of

Ele

ctr

icity (

$/M

Wh)

CO2 Tax ($/tonne)

SC PC, Illinois #6 Coal (650 MWg, 75% CF, 90% CO2 Removal)

30% MEA, Regen. Heat 1510 Btu/lb

40% MEA, Regen. Heat 800 Btu/lb

CURRENT SOLVENT

ADVANCED SOLVENT

Hypothetical

Advanced Solvent

Properties:

-Higher concentration

-Lower regen heat

-Lower losses

-Lower quality steam

Future Developments

E.S. Rubin, Carnegie Mellon

E.S. Rubin, Carnegie Mellon

Future Work

Work in Progress

• Ammonia-based capture system

• Chemical looping combustion

Planned Future Work

• Capabilities for advanced solvents

• Capabilities for solid sorbents

• Capabilities for membrane systems

• More detailed models of selected technologies

Thank You

[email protected]

E.S. Rubin, Carnegie Mellon