Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
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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
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?