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www.cranfield.ac.uk Corrosion Life Model Development for Superheater Materials under Oxy-fuel Combustion Conditions Nigel Simms Adnan Syed Tanvir Hussain John Oakey
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www.cranfield.ac.uk

Corrosion Life Model

Development for

Superheater Materials

under Oxy-fuel

Combustion

Conditions Nigel Simms

Adnan Syed

Tanvir Hussain

John Oakey

Outline

• Introduction

• Oxy-combustion systems

• Fireside corrosion environments

• Existing models

• Laboratory fireside corrosion testing

• Deposit recoat method

• Dimensional metrology

• Alloy performances – effect of temperature, SOx, deposition flux

• Development of alkali-iron tri-sulfate damage peak

• Coating performances – effect of deposition flux

• Model developments

• Summary

Conventional Power Plant Lifetime Extension

Air –fired conventional pulverised fuel

power system

Typical Power Station Boiler System

REHEAT CYCLE

Modification to Rankine

cycle (thermodynamic

cycle)

Remove the vapor for

reheat at constant pressure

in the boiler

& return it to the turbine for

continued expansion to

condenser pressure

Purpose

· Raises the temperature of the

steam generated above the

saturation level.

· Minimizes moisture in the last

stages of a turbine to avoid blade

erosion.

Conventional Power Plant Lifetime Extension

Oxy-firing with recycled flue gases

Typical Power Station Boiler System

REHEAT CYCLE

Modification to Rankine

cycle (thermodynamic

cycle)

Remove the vapor for

reheat at constant pressure

in the boiler

& return it to the turbine for

continued expansion to

condenser pressure

Purpose

· Raises the temperature of the

steam generated above the

saturation level.

· Minimizes moisture in the last

stages of a turbine to avoid blade

erosion.

B A

Oxygen

Oxy-fuel firing

Plant options

• Purity of oxygen

• Location of flue gas recycle take-off point

• Before any gas clean-up

• After particle removal

• After flue gas desulphurisation

• Further gas clean-up before recycle

• Dry primary combustion gas stream

• Dry secondary or tertiary combustion gas streams

Have direct effect on component operating conditions

Coal preparation

Air separation

CO2 compression

Condensation & CO2 separation

Steam turbine

CO2 storage

Sulphur

Electricity

Oxygen Combustor

Particle removal

Flue gas desulphurisation

Fly ash

Bottom ash

Dryer

Primary

Secondary

c b a1

2

Flow Diagram for

Component Life Modelling

Component

Specification

Operating

Conditions

Fuel Spec. &

Reactor System

Thermal Model Aerodynamic

Model

Thermochemical

Model

Transport & Deposition

Models

Mechanical

Property Data

Corrosion &

Erosion/Corrosion

Models

Life Predictions

· Contaminant effects

· Operating condition effects

Gas flow rate

P & T distributions

Inlet & outlet

gas P & T

Contaminant

levels & species

Particle

deposition

flux

Component design &

life criteria

Alloy

specificationDeposition flux &

composition

Metal surface

temperature

Component

Geometry

Damage

rates

Component

Specification

Operating

Conditions

Fuel Spec. &

Reactor System

Thermal Model Aerodynamic

Model

Thermochemical

Model

Transport & Deposition

Models

Mechanical

Property Data

Corrosion &

Erosion/Corrosion

Models

Life Predictions

· Contaminant effects

· Operating condition effects

Gas flow rate

P & T distributions

Inlet & outlet

gas P & T

Contaminant

levels & species

Particle

deposition

flux

Component design &

life criteria

Alloy

specificationDeposition flux &

composition

Metal surface

temperature

Component

Geometry

Damage

rates

Plant operating conditions for

heat exchanger tubes

• Fuel: coal / biomass

• Oxidant: air / oxygen

• Gas stream characteristics:

• Gaseous species – e.g. SO2, HCl, O2, CO2,

H2O, NOX, N2

• Vapour species – e.g. Na, K

• Particles

• From ash in fuel

• Condensed vapour species

• Gas temperature

• Heat exchanger characteristics:

• Water / steam temperature (& pressure)

• Metal temperature (& heat flux)

• Deposit

• rate of formation

• composition

Gas compositions

• UK vs S. American coal

• air vs oxy-fired (with hot recycled flue gas)

0.001

0.010

0.100

1.000

10.000

100.000

H2O CO2 O2 N2 Ar SO2 HCl

Vo

lum

e %

Gas species

UK coal, air-fired

S Amer, air-fired

UK coal, oxy-fired

S Amer, oxy-fired

Deposition on

Superheater / Reheater

Tubing

Vapour species

Condensation

onto solid particles

& aerosolsSolid particles &

aerosols

Condensation into

deposit

Coarse particles

stick

Thermophoresis of

fine particles

Water /

steam

Corrosion

Heat transfer

SOx

HCl

Vapours, SOx &

HCl diffuse in

porous deposits

Vapour species

Condensation

onto solid particles

& aerosolsSolid particles &

aerosols

Condensation into

deposit

Coarse particles

stick

Thermophoresis of

fine particles

Water /

steam

Corrosion

Heat transfer

SOx

HCl

Vapours, SOx &

HCl diffuse in

porous deposits

Deposition mechanisms:

Particles:

• Direct inertial impaction

• Thermophoresis

• Eddy diffusion

• Brownian

Vapour:

• Direct condensation

• Condensation on particles

Fuel derived deposit compositions (coal / biomass)

Deposit compositions:

• Si-Al-O compounds

• can fix Na, K if particle temperatures high enough

• Al only if coal co-fired

• Ca/Mg carbonates / sulphates / chlorides

• Na / K sulphates / chlorides

• Fe sulphates / chlorides / oxides / sulphides

• Phosphates – from biomass

Important factors

• Minerals in fuels

• Balance between elements

Corrosion aggravated by:

• Low melting point deposits

• High chloride deposits

Phase diagram for alkali sulphates – chlorides

(Lindberg, 2007).

Note: temperatures in Kelvin.

Sensitivity of SO2 vs HCl to changes in cereal co-product (CCP) or typical

wheat straw co-firing with two coals compared to example biomass

0

200

400

600

800

1000

1200

0 200 400 600 800 1000 1200 1400 1600

HC

l (v

pm

)

SOx (vpm)

UK coal + straw (wheat, typical)

UK coal + CCP

South American coal + straw (wheat, typical)

South American coal + CCP

Biomass (examples)

100 % S.Am. coal

100 % UK coal

Increase in co-firing

100% wheat straw

100% CCP

Simms (2011), in Power Plant Life Management and

Performance Improvement (adapted from Natesan et al., 2003)

Effect of metal temperatures on corrosion rates in

conventional pulverized-fuel- fired power systems

(iron-based alloys)

Overall characteristic

bell-shaped fireside /

hot corrosion peak

Temperature

Corrosion

damage Stable

deposit

Deposit

unstable

Oxidation damage

Simms, 2011

Temperature

Corrosion

damageStable

deposit

Deposit

unstable

Oxidation damage

Temperature

Corrosion

damageStable

deposit

Deposit

unstable

Oxidation damage

High temperature corrosion mechanisms

Corrosive deposits

• Sulphate deposits

• Pyro-sulphates (e.g., K2S2O7)

• Alkali-iron tri-sulphates (e.g., K3Fe(SO4)3)

• Mixed sulphates (e.g., K,Na,Fe)XSO4

• Chloride deposits – mixed

• Carbonates – mixed

• Sulphate – chloride – carbonate ‘soup’

• Molten vs sticky vs solid

Deposit instability

• Vapour condensation

dewpoints

• SO3 needed to stabilise some

sulphate phases

• SO3/SO2 balance favoured at

lower temperatures

• Other phases more stable with

change in deposit temperature

Possible corrosion mechanisms in sodium chloride /

sulphate dominated deposits

Chloride based

mechanism Sulphate based

mechanism

0

10

20

30

40

50

60

70

80

90

600 610 620 630 640 650 660 670 680 690

Metal temperature (°C)

Meta

l lo

ss (

µm

/100

0 h

ou

rs)

0.12

0.2

0.3

0.4

0.5

0.58

Superheater – austenitic eqn

(modified PE8)

0

20

40

60

80

100

120

600 610 620 630 640 650 660 670 680 690

Metal temperature (°C)

Meta

l lo

ss

m/1

000 h

ou

rs)

800

1000

1200

Effect of Cl%

Effect of Tg

r = A.B.(Tg/G)m.((Tm-C)/M)n.(Cl%-D)

•CEGB eqn

•UK coal only

•Cl% represents fuel composition

effect

•Other factors needed for other coals ?

Biomass ? & oxy-firing ?

Steps in model developments –

completing all the links

Fuel

composition

Gas

temperature Deposit

compositions

& flux

Gas

compositions

Metal

temperature

Corrosion

rate

Comparison of outputs for current models

• 18 % Cr steel

• Daw Mill coal

• Three current model versions

• PE8 modified (CEGB)

• Re-analysed PE8 data

• Version 3 of new linked combustion-deposition-corrosion models

Corrosion degradation sequence

• The incubation stage corresponds to the presence of protective oxides

• Propagation occurs when protective oxides no longer form

• The incubation period and hence component life is reduced as corrosion becomes more aggressive.

• The end of incubation stage follows the local penetration of the salt through the scale and subsequent spreading along scale-alloy interface

Incubation Propagation

Dam

ag

e

Time

Corrosion model requirements

• Specific to:

• Components, e.g. superheater / reheater, evaporator

• Systems, e.g. pf combustion

• Predictive models for fireside corrosion damage as a function of:

• Gas composition (e.g. SOx, HCl, H2O)

• Deposit composition

• Na, K, Fe, Ca

• Sulphate vs chloride

• etc

• Deposition flux (mg/cm2/hour)

• Metal temperature

• Cumulative probability level required, e.g.: 4%,10% or 50% (i.e. median)

• Time

• Alloy compositions

• Validation corrosion data / model frameworks from plant data

• but note differences between plant data & laboratory data

• Gas-surface temperature difference vs isothermal

• Deposition governed by fuels, design + operating conditions

vs simulated deposits

• Component life criteria ?

Laboratory hot corrosion testing

Critical parameters

• Metal temperature

• Gas composition

• Deposit composition

• Deposition flux

• Coating / substrate composition

Deposit recoat technique

• Simple ‘simulation’ of deposition flux

• Allows control of deposit composition

• Needs multiple deposit recoats (ideally >5)

Controlled atmosphere furnaces

• Allows specific gas compositions to be tested

• Alumina lined reactors

• Exposure temperatures controlled to +/- 3-5°C

Samples manufactured from tubes / bars

• Machined

• Standard surface finish

• Precision for dimensional metrology

Controlled atmosphere furnaces for fireside corrosion tests

Gas mixture 3

(e.g. N2-O2-CO2)

Schematic of a controlled

atmosphere furnace (oxy-

firing)

Scrubbers

DI

water

Gas B

(SO2/CO2/O2)

Gas A

(HCl/N2/CO2)

Alumina liner

Crucibles

holding

samples

VentMass flow

Controller 1

Mass flow

Controller 2

Mass flow

Controller 3

Gas C

(CO2)

Pump Stainless steel

reaction vessel

-5 C

+5 C

-5 C

Ho t

zone

Alumina tube

Pump

Hot water bath

Thermostat

Condensate

Sample Metrology &

Data Analysis (1)

Aim:

• To produce corrosion data in terms of metal loss

• To show variability of damage around samples

• To generate statistical data suitable for modelling purposes

• To overcome limitations of mass change methods

Method:

• Pre-exposure: contact metrology

• Post-exposure: measurements on cross-sections

e) original sample shape

c) microscope stage

sample

Dimensional Metrology: Technique

(Correction for systematic errors also required)

Range of shapes can be studied

b) d) image

internal damage

rad

ius

f) m

eta

l lo

ss

location

sam

ple

8x

diameter a)

g)

cumulative probability

met

al l

oss

corroded sample shape

Laboratory Gas Compositions

– Superheater/Reheater Environments

Gas

O2 CO2 H2O N2 SO2 HCl

% vol % vol % vol % vol vpm vpm

Gas 1 4 13.4 8.6 Bal 1150 325

Gas 3 4 59.1 30.9 4.4 6150 1700

Deposit No. Nominal deposit compositions (mole %)

Kaolinite* Na2SO4 K2SO4 KCl Fe2O3

D0 (bare) - - - - -

D1 - 37.5 37.5 25

D2 80 7.5 7.5 5

D3 80 7 7 1 5

D4 80 5 5 5 5

* Al2O3.2SiO2.2H2O

650°C – deposit D1 – oxy-fired gas environment

-500

-450

-400

-350

-300

-250

-200

-150

-100

-50

0

0 10 20 30 40 50 60 70 80 90 100

Chan

ge in

met

al (μ

m/1

000h

rs)

Cumulative Probability (%)

T92

347HFG

HR3C

625

-1400

-1200

-1000

-800

-600

-400

-200

0

0 20 40 60 80 100

Ch

an

ge i

n m

eta

l (μ

m/1

000h

rs)

Cumulative Probability (%)

600°C 650°C

700°C 750°C

Alloy 347HFG covered with deposit D1 exposed to 59% CO2/31%H2O/4%O2/6260vppm

SO2/1700vppm HCl for 1000h

Fireside corrosion –

temperature and metal loss

distributions

Fireside corrosion damage to alloys

exposed with alkali iron trisulfate

(deposit, D1)

(a) simulated air-fired combustion gases

(b) simulated oxy-fired combustion

gases (hot gas recycle option)

0

200

400

600

800

1000

1200

T92 347HFG HR3C Alloy 625

Me

tal l

oss

m)

Alloy

600 °C

650 °C

700 °C

0

200

400

600

800

1000

1200

T92 347HFG HR3C Alloy 625

Me

tal l

oss

m)

Alloy

600 °C

650 °C

700 °C

750 °C

Deposit D1 = 37.5 mole % Na2SO4 – 37.5 % K2SO4 – 25 %Fe2O3

Basis for fireside corrosion development

metal loss = kincub*tincubm + kprop*(t – tincub)n

Metal

loss

Time For aggressive deposits / susceptible

materials: tincub ~ 0; n=1

tincub

T92 + deposits D1-D4

exposed to simulated oxy-

firing gases at 650°C for

1000 hours

Deposit compositions

(mol%)

Deposits Kaolinitea Na2SO4 K2SO4 Fe2O3

100% Alkali (D1) 0 37.5 37.5 25

80% Alkali (D1b) 20 30 30 20

40% Alkali (D1c) 40 22.5 22.5 15

60% Alkali (D1d) 60 15 15 10

20% Alkali (D2) 80 7.5 7.5 5

a Al2O3.2SiO2.2H2O

Deposit comp = Simulated fly ash + x % [3(Na/K)2SO4 + Fe2O3]

Where x = 100, 80, 60, 40, 20

HVOF alloy 625

- change in metal vs

cumulative probability

(1000 h at 650 ºC)

-300

-250

-200

-150

-100

-50

0

0 10 20 30 40 50 60 70 80 90 100

Ch

an

ge i

n M

eta

l (µ

m)

Cumulative Probability (%)

100% Alkali

80% Alkali

60% Alkali

40% Alkali

20% Alkali

Incubation time as function of alkali flux

for HVOF alloy 625

Alloy 625

Flux of deposit D1* (µg/cm2/h)

* Deposit D1 = 37.5 mole % Na2SO4 – 37.5 % K2SO4 – 25 %Fe2O3

HVOF alloy Ni - 50Cr

- change in metal vs

cumulative probability

(1000 h at 650 ºC)

-300

-250

-200

-150

-100

-50

0

0 10 20 30 40 50 60 70 80 90 100

Ch

an

ge i

n M

eta

l (µ

m)

Cumulative Probability (%)

100% Alkali

80% Alkali

60% Alkali

40% Alkali

20% Alkali

Summary of damage data

in terms of sound metal loss

Modification to characteristic bell-shaped fireside /

hot corrosion peak for Ni-based alloys

Characteristics of alkali

iron trisulphate fireside

corrosion peak (1)

Temperature

Corrosion

damage

Oxidation damage

Oxidation of alloy - rate depends on:

• Alloy composition

• Gas composition

• Alloy surface preparation

• Metal surface temperature

Characteristics of alkali iron

trisulphate fireside corrosion

peak (2)

Temperature

Corrosion

damage

Oxidation damage

Deposit-induced alloy corrosion – increasing rate depends on:

• Alloy composition

• Deposit composition (e.g. liquid deposit formation)

• Gas composition (e.g. SO3 above that needed to stabilise

deposit)

• Deposition flux

• Alloy surface preparation

• Metal surface temperature (must be above that required for

formation of stable deposit) …..

Stable

deposit

Phase diagram for alkali–

iron tri-sulphates

Simms, 2011 (adapted from Cain and Nelson, 1961)

Characteristics of alkali iron

trisulphate fireside corrosion

peak (3)

Temperature

Corrosion

damage

Oxidation damage

Deposit-induced alloy corrosion – decreasing rate depends on:

• Deposit instability (e.g. reduced gas SO3 levels)

• Metal surface temperature (above that needed for stable

deposits)

• Gas composition

• Alloy composition

• Deposition flux …..

Stable

deposit

Deposit

unstable

Characteristics of alkali iron

trisulphate fireside corrosion

peak (4)

Temperature

Corrosion

damage

Oxidation damage

Stable

deposit

Increasing

deposition flux

Deposit

unstable

Increasing

SO3

Schematic view -

S/H fireside corrosion

propagation for

18 Cr steel

Temperature

Med

ian

meta

l lo

ss

Oxy-fired – hot gas recycle

Air-fired

Increasing SOx

650–675°C 700–725°C

SO3 / SO2

Molten salt

corrosion

Model outputs for 347HFG

Summary

• Corrosion in pulverised fuel fired systems results from a complex set of

processes

• To correctly assess materials challenges need to look at whole process - and

competing reactions at each stage:

• Fuel composition (wide range of different coals/biomasses need considering)

• Combustion (air vs oxy-fired variants)

• Deposition (gas and particle transport)

• Corrosion

• Determine effect of changing exposure conditions (including time,

temperature) on:

–Damage levels

–Mechanisms

• Dimensional measurements (not mass changes)

–Metal losses, internal damage, ….

• Generate understanding of damage development

Beware changes in mechanisms with changes in exposure conditions

Summary

• For corrosion modelling

• Need quantitative metal loss distribution data on the effect of changes in

exposure conditions on damage levels and mechanisms

• Identify similarities and differences in data and changes in exposure

environments

• Care needed with laboratory testing

• Setting appropriate and well-controlled exposure conditions

• Using appropriate monitoring techniques

• Dimensional metrology

• Microstructural characterisation

• Accelerated testing

• Desirable to save time / money

• Needs good understanding of particular damage mechanism(s)

• Aim of test work

• ranking of materials or generation of appropriate data for modelling ?

• Coatings vs base alloys ? Performance vs overall costs ?

Thank you for your attention.

Questions ?

[email protected]


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