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  • 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. 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. Energy Technology & Innovation Initiative School Engineering Faculty ofof something FACULTY OF OTHER Methods
  • 4. Outline Mark Walker, ICAER, 10-12th December 2013, IITB
  • 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. 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. 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. Energy Technology & Innovation Initiative School Engineering Faculty ofof something FACULTY OF OTHER Results and Discussion
  • 9. Biochemical Fractionation FW COD (gCOD/gVS) 1.73 GW 1.55 Mark Walker, ICAER, 10-12th December 2013, IITB
  • 10. Results FW GW Cellulose Mark Walker, ICAER, 10-12th December 2013, IITB
  • 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. 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. 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. 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. Energy Technology & Innovation Initiative School Engineering Faculty ofof something FACULTY OF OTHER Thank you! Any questions?