Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
Energy Technology & Innovation Initiative
School Engineering
Faculty ofof something
FACULTY OF OTHER

Estimation of the AD...
Introduction



Anaerobic Digestion Model 1 (ADM1) is the current benchmark in modelling of
AD and biogas production



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

Methods
Outline

Mark Walker, ICAER, 10-12th December 2013, IITB
Kinetic Models

Model

Fractionation of COD and Kinetic Equations

1 Particulate
Increasing model
complexity

& 1 Soluble
...
Biomass Feedstocks

Food Waste
(Source segregated)

TS = 30.1%
VS = 27.3%

Green Waste
(Source segregated)

TS = 39.8%
VS ...
Laboratory equipment

 15 x 0.5-litre
heated, stirred
reactors
 Automated gas
flow monitoring
 Carbon dioxide
absorptio...
Energy Technology & Innovation Initiative
School Engineering
Faculty ofof something
FACULTY OF OTHER

Results and Discussi...
Biochemical Fractionation

FW

COD
(gCOD/gVS)

1.73

GW

1.55

Mark Walker, ICAER, 10-12th December 2013, IITB
Results

FW
GW
Cellulose

Mark Walker, ICAER, 10-12th December 2013, IITB
Kinetic Fractionation - GW

1 Particulate
Fraction

Model
1 particulate

X^2
0.058

1 Particulate & 1
Soluble Fraction

St...
Kinetic Fractionation - GW

1 Particulate

1 Particulate & 1 Soluble

χ2 = 0.53

χ2 = 0.23

Max. Std. Error = 2.5%

Max. S...
On-going work
Modelling Semi-Continuous AD

Food Waste

Green Waste

2 Particulate Fraction Model

1 Particulate & 1 Solub...
Conclusion
 A Procedure for the Anaerobic Digestion Model 1 (ADM1) characterization of
a biomass feedstock has been descr...
Energy Technology & Innovation Initiative
School Engineering
Faculty ofof something
FACULTY OF OTHER

Thank you!
Any quest...
Upcoming SlideShare
Loading in …5
×

309 mark

474 views

Published on

Published in: Technology, Business
  • Be the first to comment

  • Be the first to like this

309 mark

  1. 1. Energy Technology & Innovation Initiative School Engineering Faculty ofof something FACULTY OF OTHER Estimation of the ADM1 input parameters for modelling the anaerobic digestion of waste materials using laboratory scale batch testing of methane production International Conference on Advances in Energy Research 10-12th December 2013 Indian Institute of Technology Bombay Davide Poggio, Mark Walker, William Nimmo and Mohamed Pourkashanian m.walker@leeds.ac.uk
  2. 2. Introduction  Anaerobic Digestion Model 1 (ADM1) is the current benchmark in modelling of AD and biogas production  ADM1 is a large, complex model (35 states, 29 conversion processes, 100+ parameters) therefore feedstock characterisation and parameter estimation is important for each application  Previous methods used;  Literature data for similar substrate,  direct analysis of the biochemical fractions (Carbohydrate, protein, fat…)  Kinetic based methods  In this paper a methodology for the estimation of the feedstock biomass composition and hydrolysis/fermentation kinetics is presented  Method based on a hybrid biochemical and kinetic approach  Parameters estimated using statistical analysis of batch methane production tests Mark Walker, ICAER, 10-12th December 2013, IITB
  3. 3. Energy Technology & Innovation Initiative School Engineering Faculty ofof something FACULTY OF OTHER Methods
  4. 4. Outline Mark Walker, ICAER, 10-12th December 2013, IITB
  5. 5. Kinetic Models Model Fractionation of COD and Kinetic Equations 1 Particulate Increasing model complexity & 1 Soluble • More parameters estimated • Better fit • 1 Particulate More uncertainty 2 Particulate 2 Particulate & 1 Soluble Mark Walker, ICAER, 10-12th December 2013, IITB
  6. 6. Biomass Feedstocks Food Waste (Source segregated) TS = 30.1% VS = 27.3% Green Waste (Source segregated) TS = 39.8% VS = 25.9% Mark Walker, ICAER, 10-12th December 2013, IITB
  7. 7. Laboratory equipment  15 x 0.5-litre heated, stirred reactors  Automated gas flow monitoring  Carbon dioxide absorption Mark Walker, ICAER, 10-12th December 2013, IITB
  8. 8. Energy Technology & Innovation Initiative School Engineering Faculty ofof something FACULTY OF OTHER Results and Discussion
  9. 9. Biochemical Fractionation FW COD (gCOD/gVS) 1.73 GW 1.55 Mark Walker, ICAER, 10-12th December 2013, IITB
  10. 10. Results FW GW Cellulose Mark Walker, ICAER, 10-12th December 2013, IITB
  11. 11. Kinetic Fractionation - GW 1 Particulate Fraction Model 1 particulate X^2 0.058 1 Particulate & 1 Soluble Fraction Std. Error 95% confidence 0.249 0.623 0.99 % 3.38 % 0.244 - 0.254 0.581 - 0.664 fd fS khyd 0.250 0.216 0.347 0.66% 3.42% 3.42% 0.799 - 0.820 0.285 - 0.326 0.345 - 0.395 fd fXr khyd,r khyd,s 0.246 0.216 >20 0.336 NA NA unbounded NA NA NA unbounded NA 0.040 2 Particulate Value fd khyd 1 Particulate & 1 Soluble Parameter 0.0
  12. 12. Kinetic Fractionation - GW 1 Particulate 1 Particulate & 1 Soluble χ2 = 0.53 χ2 = 0.23 Max. Std. Error = 2.5% Max. Std. Error = 3.4% 2 Particulate 2 Particulate & 1 Soluble χ2 = 0.17 χ2 = 0.16 Max. Std. Error = 6.6% Max. Std. Error = 23.2% Mark Walker, ICAER, 10-12th December 2013, IITB
  13. 13. On-going work Modelling Semi-Continuous AD Food Waste Green Waste 2 Particulate Fraction Model 1 Particulate & 1 Soluble Fraction Model Under-prediction of fast kinetics (no soluble fraction) Over-prediction of fast kinetics (overestimated soluble fraction) Mark Walker, ICAER, 10-12th December 2013, IITB
  14. 14. Conclusion  A Procedure for the Anaerobic Digestion Model 1 (ADM1) characterization of a biomass feedstock has been described  Two stage process;  Biochemical fractionation using elemental analysis  Kinetic fraction using experimental data methane production tests  Biochemical fractionation of green waste samples resulted in high predicted level of lipids → modification of the method required in high lignin samples  Statistical analysis permitted the identification of the most appropriate model and the relevant parameters to describe the anaerobic digestion process.  Food wastes is a more complex substrate requiring at least two fractions to describe the kinetics, while only one fraction gives a satisfactory description for green waste degradation.  Future works will include the validation of the procedure in laboratory continuous systems and investigation into the co-digestion behaviour Mark Walker, ICAER, 10-12th December 2013, IITB
  15. 15. Energy Technology & Innovation Initiative School Engineering Faculty ofof something FACULTY OF OTHER Thank you! Any questions?

×