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Energy Technology & Innovation Initiative
School Engineering
Faculty ofof something
FACULTY OF OTHER

Optimisation of a gas-mixed anaerobic
digester using a combined CFD and
biochemical kinetic modelling approach
International Conference on Advances in Energy
Research
10-12th December 2013
Indian Institute of Technology Bombay
Dr Mark Walker, Dr Lin Ma and Prof Mohamed Pourkashanian
m.walker@leeds.ac.uk
Introduction



Anaerobic Digestion (AD) is an attractive energy and waste management
technology



At industrial scale AD plants consist of a mixed tank e.g. mechanical, gas, jet
mixed



Small unmixed systems can digest a limited range of feedstocks



Mixing is parasitic to the energetic and economic feasibility of the biogas plant
but allows a greater variety of substrates to be digester



Presented is a novel coupled CFD and AD model → optimisation of the mixing of
based on biogas production



Mixing with biogas has low capital and operation cost relative to other mixing
methods → potential to increase the efficiency of many thousands of small-scale
digesters operated worldwide

Mark Walker, ICAER, 10-12th December 2013, IITB
Energy Technology & Innovation Initiative
School Engineering
Faculty ofof something
FACULTY OF OTHER

Model Description
Modelling Scenario

14.7 m3 cylindrical tank

Biogas recirculation

Output
digestate

Biomass
Biogas
mixing

Feedstock
flow rate

Biogas
flow rate

Working fluid
(Digestate)
Sparger

Mark Walker, ICAER, 10-12th December 2013, IITB
Geometry
Free shear wall

Geometry 1

Geometry 2

Draught
tube

Opening
Gravity

Geometry 1

Geometry 2

Mass inlet

Gas sparger
Ø 2.65

Ø 2.65

0.2

Ø 0.36

2.65

φ 0.2

1.325

2.65

Ø 0.2

Ø 0.2

1.325

1.325
0.2
Ø 0.3

Mark Walker, ICAER, 10-12th December 2013, IITB
Model Structure







CFD
 Laminar
 Non-Newtonian
 Multiphase (gas-liquid)
 Steady
Biochemical reactions
 Contois kinetics
 Microorganism (X) and 1
Substrate/Feedstock (S)
Rheology
 TS based formulation of nonNewtonian model parameters
Non-Newtonian fluid (digestate)
 Power law
 Shear thinning/pseudoplastic

Mark Walker, ICAER, 10-12th December 2013, IITB
CSTR Model – Fully Mixed

Q (m3 day-1)
Biomass

Inlet Conditions
Xin = 0
Sin =
Tsin =
Q=

Anaerobic Digester
S, X

Qbiogas
Biogas

Parameter Values
V = 14.7 m3
β = 25 kg m-3
µm = 0.125 day-1
Ks = 12
Y = 0.1
α = 1 m3 kg-1

Initial Conditions
S0 = 20 kg m-3
X0 = 5 kg m-3

Mark Walker, ICAER, 10-12th December 2013, IITB
Model Comparison

Phenomenon

CFD + Contois
Model

Contois CSTR
Model

✓✓

✓

Hydraulic overload

✓✓

✓

Microorganism growth kinetics

✓✓

✓

Degree of Digestion

✓✓

✓

Biogas Yield

✓✓

✓

Effect of Mixing on other phenomena modelled

✓

××

Short circuiting of biomass

✓

××

Contact between microorganism and biomass

✓

××

Other mixing related phenomena - Sedimentation,
crust formation, foaming, gas entrainment, shear…

×

××

Other biological phenomena - Organic overload,
inhibition…

×

×

CSTR Model
Dilution/Washout

- modelled (better)

- modelled

- not modelled

- cannot be modelled

Mark Walker, ICAER, 10-12th December 2013, IITB
Energy Technology & Innovation Initiative
School Engineering
Faculty ofof something
FACULTY OF OTHER

Results and Discussion
Results and Discussion
TS Distributions

G1

Increasing mixing flow rate
0

0.01
0.1
1
Approx. mixing energy (W m-3)

10

G2

Mark Walker, ICAER, 10-12th December 2013, IITB
Results and Discussion
Biogas Production


Compared with CSTR model and no mixing



Large process gain by a small mixing flow rate (x10+)



Above a threshold mixing rate system begins to act as a CSTR



G1 threshold lower than G2



Optimal mixing rate in G1 ~ 0.02 W m-3 (G1)



Slight predicted process gain by using threshold mixing (+1.8%)
Discussion


Despite potential applications that this type of model requires further
development and is not fully validated. Relevant input data would be required
before the model could be used reliably in a predictive capacity



Validation;
 Model converges to a CSTR model at higher mixing rates
 The sub-models used have all been previously validated



Some issues regarding applicability of input data;
 The rheological data did not span the expected strain rates found in anaerobic digesters
 Contois parameters based on household solid waste, rheological data from cattle slurry



Model optimisation only addresses a subset of the phenomena relating to mixing
in anaerobic digestion and does not account for;
 Temperature and pH distribution
 physical stratification through sedimentation
 Foaming and gas entrainment
 effect of shear on the microorganisms
Mark Walker, ICAER, 10-12th December 2013, IITB
Conclusion



3D coupled CFD and AD model developed



Optimisation of the biogas mixing of two idealised digester designs for biogas
production and biomass degradation



An increase in biogas production from 2.6 to 33 m3 day-1 was predicted by the
introduction of mixing (0.02 W m-3)



Potential applications include enhancing the design and operational
characteristics of biogas plants



The model was partly validated using comparison with a CSTR case



For reliable predicative modelling more comprehensive biochemical and
rheological data specific would be needed



The model does not include some of the phenomena relating to the mixing of
anaerobic digesters

Mark Walker, ICAER, 10-12th December 2013, IITB
Energy Technology & Innovation Initiative
School Engineering
Faculty ofof something
FACULTY OF OTHER

Thank you!
Any questions?

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310 mark

  • 1. Energy Technology & Innovation Initiative School Engineering Faculty ofof something FACULTY OF OTHER Optimisation of a gas-mixed anaerobic digester using a combined CFD and biochemical kinetic modelling approach International Conference on Advances in Energy Research 10-12th December 2013 Indian Institute of Technology Bombay Dr Mark Walker, Dr Lin Ma and Prof Mohamed Pourkashanian m.walker@leeds.ac.uk
  • 2. Introduction  Anaerobic Digestion (AD) is an attractive energy and waste management technology  At industrial scale AD plants consist of a mixed tank e.g. mechanical, gas, jet mixed  Small unmixed systems can digest a limited range of feedstocks  Mixing is parasitic to the energetic and economic feasibility of the biogas plant but allows a greater variety of substrates to be digester  Presented is a novel coupled CFD and AD model → optimisation of the mixing of based on biogas production  Mixing with biogas has low capital and operation cost relative to other mixing methods → potential to increase the efficiency of many thousands of small-scale digesters operated worldwide Mark Walker, ICAER, 10-12th December 2013, IITB
  • 3. Energy Technology & Innovation Initiative School Engineering Faculty ofof something FACULTY OF OTHER Model Description
  • 4. Modelling Scenario 14.7 m3 cylindrical tank Biogas recirculation Output digestate Biomass Biogas mixing Feedstock flow rate Biogas flow rate Working fluid (Digestate) Sparger Mark Walker, ICAER, 10-12th December 2013, IITB
  • 5. Geometry Free shear wall Geometry 1 Geometry 2 Draught tube Opening Gravity Geometry 1 Geometry 2 Mass inlet Gas sparger Ø 2.65 Ø 2.65 0.2 Ø 0.36 2.65 φ 0.2 1.325 2.65 Ø 0.2 Ø 0.2 1.325 1.325 0.2 Ø 0.3 Mark Walker, ICAER, 10-12th December 2013, IITB
  • 6. Model Structure     CFD  Laminar  Non-Newtonian  Multiphase (gas-liquid)  Steady Biochemical reactions  Contois kinetics  Microorganism (X) and 1 Substrate/Feedstock (S) Rheology  TS based formulation of nonNewtonian model parameters Non-Newtonian fluid (digestate)  Power law  Shear thinning/pseudoplastic Mark Walker, ICAER, 10-12th December 2013, IITB
  • 7. CSTR Model – Fully Mixed Q (m3 day-1) Biomass Inlet Conditions Xin = 0 Sin = Tsin = Q= Anaerobic Digester S, X Qbiogas Biogas Parameter Values V = 14.7 m3 β = 25 kg m-3 µm = 0.125 day-1 Ks = 12 Y = 0.1 α = 1 m3 kg-1 Initial Conditions S0 = 20 kg m-3 X0 = 5 kg m-3 Mark Walker, ICAER, 10-12th December 2013, IITB
  • 8. Model Comparison Phenomenon CFD + Contois Model Contois CSTR Model ✓✓ ✓ Hydraulic overload ✓✓ ✓ Microorganism growth kinetics ✓✓ ✓ Degree of Digestion ✓✓ ✓ Biogas Yield ✓✓ ✓ Effect of Mixing on other phenomena modelled ✓ ×× Short circuiting of biomass ✓ ×× Contact between microorganism and biomass ✓ ×× Other mixing related phenomena - Sedimentation, crust formation, foaming, gas entrainment, shear… × ×× Other biological phenomena - Organic overload, inhibition… × × CSTR Model Dilution/Washout - modelled (better) - modelled - not modelled - cannot be modelled Mark Walker, ICAER, 10-12th December 2013, IITB
  • 9. Energy Technology & Innovation Initiative School Engineering Faculty ofof something FACULTY OF OTHER Results and Discussion
  • 10. Results and Discussion TS Distributions G1 Increasing mixing flow rate 0 0.01 0.1 1 Approx. mixing energy (W m-3) 10 G2 Mark Walker, ICAER, 10-12th December 2013, IITB
  • 11. Results and Discussion Biogas Production  Compared with CSTR model and no mixing  Large process gain by a small mixing flow rate (x10+)  Above a threshold mixing rate system begins to act as a CSTR  G1 threshold lower than G2  Optimal mixing rate in G1 ~ 0.02 W m-3 (G1)  Slight predicted process gain by using threshold mixing (+1.8%)
  • 12. Discussion  Despite potential applications that this type of model requires further development and is not fully validated. Relevant input data would be required before the model could be used reliably in a predictive capacity  Validation;  Model converges to a CSTR model at higher mixing rates  The sub-models used have all been previously validated  Some issues regarding applicability of input data;  The rheological data did not span the expected strain rates found in anaerobic digesters  Contois parameters based on household solid waste, rheological data from cattle slurry  Model optimisation only addresses a subset of the phenomena relating to mixing in anaerobic digestion and does not account for;  Temperature and pH distribution  physical stratification through sedimentation  Foaming and gas entrainment  effect of shear on the microorganisms Mark Walker, ICAER, 10-12th December 2013, IITB
  • 13. Conclusion  3D coupled CFD and AD model developed  Optimisation of the biogas mixing of two idealised digester designs for biogas production and biomass degradation  An increase in biogas production from 2.6 to 33 m3 day-1 was predicted by the introduction of mixing (0.02 W m-3)  Potential applications include enhancing the design and operational characteristics of biogas plants  The model was partly validated using comparison with a CSTR case  For reliable predicative modelling more comprehensive biochemical and rheological data specific would be needed  The model does not include some of the phenomena relating to the mixing of anaerobic digesters Mark Walker, ICAER, 10-12th December 2013, IITB
  • 14. Energy Technology & Innovation Initiative School Engineering Faculty ofof something FACULTY OF OTHER Thank you! Any questions?