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2.29 Course Project Modeling of Ion Transport Membrane Reactors: A Review and Practice Yudong Chen 05.16.2018 1

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Page 1: Modeling of ITM reactors: A review and practiceweb.mit.edu/2.29/www/img/projects/spring_2018/yudong.pdf · • ITM reactor modeling varies depending on the geometry, materials, flow

2.29 Course Project

Modeling of Ion Transport Membrane Reactors: A Review and Practice

Yudong Chen

05.16.2018

1

Page 2: Modeling of ITM reactors: A review and practiceweb.mit.edu/2.29/www/img/projects/spring_2018/yudong.pdf · • ITM reactor modeling varies depending on the geometry, materials, flow

Outline

1. Literature review• ITM reactor

• ITM models

• An Intermediate-fidelity model

2. Modeling practice• A monolith reactor with LCF91 membrane

• FLUENT simulation for permeation channel

2

Page 3: Modeling of ITM reactors: A review and practiceweb.mit.edu/2.29/www/img/projects/spring_2018/yudong.pdf · • ITM reactor modeling varies depending on the geometry, materials, flow

ITM ReactorIon transport membrane (ITM) technology is a novel approach providing an alternativesolution to separate oxygen from air.

Feed side (high PO2)

Mixed-ionic electronic conducting (MIEC) ceramic membrane

Sweep side (low PO2)

Advantages:1. Potentially achieve 100% CO2 capture2. Reducing 70% power consumption compared with conventional O2 production methods3. Increase power generation efficiency by 4%

[1]

[1] J. Hong, P. Kirchen, A.F. Ghoniem, Laminar oxy-fuel diffusion flame supported by an oxygen-permeable-ion-transport membrane, Combust. Flame 160 (2013) 704–717. 3

Page 4: Modeling of ITM reactors: A review and practiceweb.mit.edu/2.29/www/img/projects/spring_2018/yudong.pdf · • ITM reactor modeling varies depending on the geometry, materials, flow

ITM models

Purpose of different levels of ITM models:

1. Material-level analysis Transport phenomena

2. System-level analysis Reactor Design and operating conditions

4

𝐽𝑉 = 2 ∙ (𝑘𝑓𝑂2 𝑃𝑂2′12 𝐶𝑉

′ − 𝑘𝑟𝑂2)

𝐽𝑉 = −𝐷𝑉𝐶𝑉

𝑑𝑦= 𝐷𝑉

( 𝐶𝑉′′− 𝐶𝑉

′ )

𝐿

𝐽𝑉 = 𝑘𝑓𝐶𝐻4(𝐶𝐶𝐻4)1

4 𝐶𝑂𝑜𝑥

Permeation Equations

Geometry

Planar [2]

Monolith [3]

Hollow fiber [4]

etc.

[2] Nemitallah MA, Habib MA, Mezghani K. Experimental and numerical study of oxygen separation and oxy-combustion characteristics inside a button-cell LNO-ITM reactor. Energy 2015;84:600–11.[3] Colombo K. E., Kharton, V. V., and Bolland, O., 2010, “Simulation of an Oxygen Membrane-Based Gas Turbine Power Plant: Dynamic Regimes With Operational and Material Constraints,” Energy Fuels, 24, pp. 590–608[4] X. Tan, K. Li, A. Thursfield, I.S. Metcalfe, Oxyfuel combustion using a catalytic ceramic membrane reactor, Catalysis Today 131 (1–4) (2008) 292–304.

Planar [2] Monolith [3] Hollow fiber [4]

Page 5: Modeling of ITM reactors: A review and practiceweb.mit.edu/2.29/www/img/projects/spring_2018/yudong.pdf · • ITM reactor modeling varies depending on the geometry, materials, flow

ITM models

Purpose of different levels of ITM models:2. System-level analysis Reactor Design and operating conditions

5

Materials

La0.9 Ca0.1FeO3-δ

Ba0.6Sr0.4Co0.2Fe0.8O3-δ

etc.

Flow configuration

Co-current

Counter-current

Reaction

Non-reactive

Reactive

Requirements of a good ITM models:

1) Capture important physical relationships• Conservation of mass and species• Thermodynamics• Oxygen permeation phenomena• Heat transfer • Chemical reactions

2) Without extreme computational time• Highly-coupled nonlinear system• Combustion process could be complicated

Page 6: Modeling of ITM reactors: A review and practiceweb.mit.edu/2.29/www/img/projects/spring_2018/yudong.pdf · • ITM reactor modeling varies depending on the geometry, materials, flow

An Intermediate-fidelity model [5]

6

membrane

Air Sweep gas

Air

Sweep gas

The model simplifies the monolith reactor into a 1-D problem due to symmetry

• Split the geometry into discrete elements• Steady-state conservation equations are written for each discrete element

[5] Mancini ND, Mitsos A. Ion transport membrane reactors for oxy-combustion - Part I: intermediate-fidelity modeling. Energy 2011;36:4701-20.

Page 7: Modeling of ITM reactors: A review and practiceweb.mit.edu/2.29/www/img/projects/spring_2018/yudong.pdf · • ITM reactor modeling varies depending on the geometry, materials, flow

Conservation equations [5]

7

Conservation of mass and species:

ሶ𝑛𝑖+1,𝑂2 = ሶ𝑛𝑖,𝑂2 + ∅𝐴𝑖𝐽𝑖,𝑂2 + ∅𝑉𝑖𝑅𝑖,𝑂2′′′

n is the molar flow-rate of O2 mol/s,

𝐽𝑖,𝑂2 is the local oxygen flux [mol/m2]

𝑅𝑖,𝑂2′′′ is the local rate of production of oxygen due to chemical reaction [mol/m3]

First law of thermodynamics:

𝑗

ሶ𝑛𝑖+1,𝑗 ഥℎ𝑗(𝑇𝑖+1) =

𝑗

ሶ𝑛𝑖,𝑗 ഥℎ𝑗(𝑇𝑖) − ሶ𝑄𝑖 + ሶ𝐻𝑖,𝑂2,𝑒𝑥𝑡

𝑄𝑖 represents the convective heat transfer between streams, where the overall heat

transfer coefficient 𝑈𝑖ሶ𝑄𝑖 = ∅𝑈𝑖𝐴𝑖(𝑇𝑖

" − 𝑇𝑖′)

ሶ𝐻𝑖,𝑂2,𝑒𝑥𝑡 represents the enthalpy stream transported from the feed to the permeate side

Second law of thermodynamics:

ሶ𝑆𝑔𝑒𝑛 =

𝑜𝑢𝑡𝑙𝑒𝑡

ሶ𝑛𝑗ഥ𝑠𝑗(𝑇, 𝑃𝑗) −

𝑖𝑛𝑙𝑒𝑡

ሶ𝑛𝑗ഥ𝑠𝑗(𝑇, 𝑃𝑗)

[5] Mancini ND, Mitsos A. Ion transport membrane reactors for oxy-combustion - Part I: intermediate-fidelity modeling. Energy 2011;36:4701-20.

Page 8: Modeling of ITM reactors: A review and practiceweb.mit.edu/2.29/www/img/projects/spring_2018/yudong.pdf · • ITM reactor modeling varies depending on the geometry, materials, flow

Transport equationsHeat and mass transfer consideration:

Gnielinski correlation is used for forced convection in turbulent pipe flow.

𝑁𝑢𝐷ℎ,𝑖 =𝑓𝑖/8 ∙ (𝑅𝑒𝐷ℎ,𝑖 − 1000)𝑃𝑟

1 + 12.7𝑓𝑖8 (𝑃𝑟

23 − 1)

Due to the small channel sizes of the reactor, the author assumes that the forced convection dominates the heat transfer.

8

Oxygen permeation mechanisms:

The semi-empirical form: 𝐽𝑂2 = 𝐴 exp −𝐵

𝑇𝑀[ 𝑃𝑂2

′ 𝑛− 𝑃𝑂2

′′ 𝑛]

A stands for pre-exponential factor; B represents the effective activation energy.

Things become complicated when we have reactive ITM:

Methane oxidation kinetics:

1) Fast kinetics assumption (products of chemical reaction is only CO2 and H2O)

2) Thermodynamic equilibrium assumption (CH4 CO2 CO H2 H2O O2)

3) Additional oxidation kinetics scheme

[5] Mancini ND, Mitsos A. Ion transport membrane reactors for oxy-combustion - Part I: intermediate-fidelity modeling. Energy 2011;36:4701-20.

Approach and solver:

Equation-oriented approach is used to solve the system of non-linear equations with

JACOBIAN, a general modeling and simulation program.

Page 9: Modeling of ITM reactors: A review and practiceweb.mit.edu/2.29/www/img/projects/spring_2018/yudong.pdf · • ITM reactor modeling varies depending on the geometry, materials, flow

Sample results [5]

9

Separation-only Mode

Co-current configuration Counter-current configuration

Co-current configuration Counter-current configuration

Reactive Mode

[5] Mancini ND, Mitsos A. Ion transport membrane reactors for oxy-combustion - Part I: intermediate-fidelity modeling. Energy 2011;36:4701-20.

Page 10: Modeling of ITM reactors: A review and practiceweb.mit.edu/2.29/www/img/projects/spring_2018/yudong.pdf · • ITM reactor modeling varies depending on the geometry, materials, flow

Outline

1. Literature review• ITM reactor

• ITM models

• An Intermediate-fidelity model

2. Modeling practice• A monolith reactor with LCF91 membrane

• FLUENT simulation for permeation channel

10

Page 11: Modeling of ITM reactors: A review and practiceweb.mit.edu/2.29/www/img/projects/spring_2018/yudong.pdf · • ITM reactor modeling varies depending on the geometry, materials, flow

A co-current monolith reactor

11

Simplifications made:1. Assume temperature constant in the channel2. Pressure drop neglected3. Fast kinetics assumptions

Equations satisfied:1. Conservation of mass and species2. First and second laws of thermodynamics3. Resistance-network oxygen permeation mechanism

Page 12: Modeling of ITM reactors: A review and practiceweb.mit.edu/2.29/www/img/projects/spring_2018/yudong.pdf · • ITM reactor modeling varies depending on the geometry, materials, flow

Base case simulation parameters

12

Parameter ValueChannel Height [cm] 1.5

Channel Length [mm] 200

Membrane material La0.9 Ca0.1FeO3-δ

Membrane Thickness [mm] 1

Sweep side methane concentration 100%

Operation Temperature [℃] 700-9000

0.00

0.05

0.10

0.15

0.20

0.25

0.30

0.35

0.40

0.45

0.50

0 5 10 15 20

JO

2(μ

mo

l/cm

2s)

Length (cm)

700 °C

800 °C

900 °C

ሶ𝑛𝑖+1,𝑂2 = ሶ𝑛𝑖,𝑂2 + ∅𝐴𝑖𝐽𝑖,𝑂2 + ∅𝑉𝑖𝑅𝑖,𝑂2′′′

𝐽𝑂2 =1

2∙

Co −𝑘𝑟𝑂2

𝑘𝑓𝑂2 𝑃𝑂2′12

1

2𝑘𝑓𝑂2 𝑃𝑂2′12

+𝐿𝐷𝑉

+1

𝑘𝑓𝐶𝐻4(𝐶𝐶𝐻4)14

Feed

Sweep

Discretized nodes

Membrane 𝑱𝑶𝟐

𝐶𝐻4 + 2𝑂2 → 𝐶𝑂2 + 2𝐻2𝑂

Air

Fuel

Page 13: Modeling of ITM reactors: A review and practiceweb.mit.edu/2.29/www/img/projects/spring_2018/yudong.pdf · • ITM reactor modeling varies depending on the geometry, materials, flow

CFD analysis for sweep side channel

13

Permeated oxygen flux (as calculated in previous slides)

MethanePressure outlet

Symmetry Axis

Feed

Sweep

Membrane

Air

Fuel

Constant oxygen flux

Simplification 2D channel

Solver ANASYS Fluent

Species reaction model Non-premixed combustion

Gas Mixture Methane-air

Inlet Preheated gas

Outlet Pressure outlet

Page 14: Modeling of ITM reactors: A review and practiceweb.mit.edu/2.29/www/img/projects/spring_2018/yudong.pdf · • ITM reactor modeling varies depending on the geometry, materials, flow

Simulation Results

14

800

900

1000

1100

1200

1300

1400

1500

0 0.05 0.1

Tem

per

atu

re(°

C)

Distance (m)

0

0.2

0.4

0.6

0.8

1

1.2

0 0.05 0.1

Mo

lar

Frac

tio

n

Distance (m)

CH4 CO2H2O COO2

600

800

1000

1200

1400

1600

0 0.05 0.1

Tem

per

atu

re(°

C)

Distance (m)

900°C

800°C

700°C

Base case: 900°C preheated channel and gases Temperature comparison

Page 15: Modeling of ITM reactors: A review and practiceweb.mit.edu/2.29/www/img/projects/spring_2018/yudong.pdf · • ITM reactor modeling varies depending on the geometry, materials, flow

Conclusion and Discussion

15

Review:

• ITM technology is a novel approach to separate oxygen from air, which could providesolutions to CCS.

• ITM reactor modeling varies depending on the geometry, materials, flow configurationand whether the model enables reactions.

• ITM reactor is a highly-coupled nonlinear system and an intermediate-fidelity model isintroduced.

Modeling practice:

• A monolith reactor was developed enables the oxygen permeation phenomena and fastkinetics reaction

• The simulation shows that the oxygen permeation rate does not decrease much along thereactor

• The 2D sweep channel was simulated for the oxy-combustion process

• The simulated temperature shows the effect of the combustion may not be neglected

Page 16: Modeling of ITM reactors: A review and practiceweb.mit.edu/2.29/www/img/projects/spring_2018/yudong.pdf · • ITM reactor modeling varies depending on the geometry, materials, flow

Further Improvement

• Monolith reactor:1. Enables the temperature variable by adding energy equation

2. Optimize the reactor size

• CFD modeling1. Try different solvers and kinetics databases

2. Revise the definition of boundary conditions

16

Thanks!

Page 17: Modeling of ITM reactors: A review and practiceweb.mit.edu/2.29/www/img/projects/spring_2018/yudong.pdf · • ITM reactor modeling varies depending on the geometry, materials, flow

Backup Slides

17

Page 18: Modeling of ITM reactors: A review and practiceweb.mit.edu/2.29/www/img/projects/spring_2018/yudong.pdf · • ITM reactor modeling varies depending on the geometry, materials, flow

Resistance-network mechanism

18

1

2𝑂2 + 𝑉𝑂

∗∗ ⇌ 𝑂𝑜𝑥 + 2ℎ∗

𝑂𝑜𝑥 + 2ℎ∗ +

1

4𝐶𝐻4 ⇌

1

4𝐶𝑂2 +

1

2𝐻2𝑂 + 𝑉𝑂

∗∗

ITM Thickness, L

Feed

Sweep

𝐽𝑉 = −𝐷𝑉𝐶𝑉

𝑑𝑦= 𝐷𝑉

( 𝐶𝑉′′− 𝐶𝑉

′ )

𝐿

𝐽𝑉 = 2 ∙ (𝑘𝑓𝑂2 𝑃𝑂2′12 𝐶𝑉

′ − 𝑘𝑟𝑂2)

𝐽𝑉 = 𝑘𝑓𝐶𝐻4(𝐶𝐶𝐻4)1

4 𝐶𝑂𝑜𝑥

𝐽𝑉 =

Co −𝑘𝑟𝑂2

𝑘𝑓𝑂2 𝑃𝑂2′12

1

2𝑘𝑓𝑂2 𝑃𝑂2′12

+𝐿𝐷𝑉

+1

𝑘𝑓𝐶𝐻4(𝐶𝐶𝐻4)14

Co = Co𝑜𝑥 + 𝐶𝑉

𝐽𝑂2 =1

2𝐽𝑉