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Assessing practical identifiability during calibration and cross-validation of a structured model for high-solids anaerobic digestion
- Source :
- Water Research, Water Research, IWA Publishing, 2019, 164, ⟨10.1016/j.watres.2019.114932⟩
- Publication Year :
- 2019
- Publisher :
- HAL CCSD, 2019.
-
Abstract
- International audience; High-solids anaerobic digestion (HS-AD) of the organic fraction of municipal solid waste (OFMSW) is operated at a total solid (TS) content ≥ 10% to enhance the waste treatment economy, though it might be associated to free ammonia (NH3) inhibition. This study aimed to calibrate and cross-validate a HS-AD model for homogenized reactors in order to assess the effects of high NH3 levels in HS-AD of OFMSW, but also to evaluate the suitability of the reversible non-competitive inhibition function to reproduce the effect of NH3 on the main acetogenic and methanogenic populations. The practical identifiability of structural/biochemical parameters (i.e. 35) and initial conditions (i.e. 32) was evaluated using batch experiments at different TS and/or inoculum-to-substrate ratios. Variance-based global sensitivity analysis and approximate Bayesian computation were used for parameter optimization. The experimental data in this study permitted to estimate up to 8 biochemical parameters, whereas the rest of parameters and biomass contents were poorly identifiable. The study also showed the relatively high levels of NH3 (i.e. up to 2.3 g N/L) and ionic strength (i.e. up to 0.9 M) when increasing TS in HS-AD of OFMSW. However, the NH3 non-competitive function was unable to capture the acetogenic/methanogenic inhibition. Therefore, the calibration emphasized the need for target-oriented experimental data to enhance the practical identifiability and the predictive capabilities of structured HS-AD models, but also the need for further testing the NH3 inhibition function used in these simulations.
- Subjects :
- inorganic chemicals
Environmental Engineering
Municipal solid waste
[SDV]Life Sciences [q-bio]
0208 environmental biotechnology
Biomass
high-solids anaerobic digestion model
02 engineering and technology
010501 environmental sciences
Solid Waste
01 natural sciences
Cross-validation
Bioreactors
Global sensitivity analysis
Calibration
Anaerobiosis
Waste Management and Disposal
ammonia inhibition
0105 earth and related environmental sciences
Water Science and Technology
Civil and Structural Engineering
Mathematics
Ecological Modeling
Bayes Theorem
Pollution
Refuse Disposal
020801 environmental engineering
Anaerobic digestion
Waste treatment
High-solids anaerobic digestion model, ammonia inhibition, ionic strength, global sensitivity analysis, approximate bayesian computation
global sensitivity analysis
[SDE]Environmental Sciences
Identifiability
Biological system
Methane
ionic strength
approximate bayesian computation
Subjects
Details
- Language :
- English
- ISSN :
- 00431354
- Database :
- OpenAIRE
- Journal :
- Water Research, Water Research, IWA Publishing, 2019, 164, ⟨10.1016/j.watres.2019.114932⟩
- Accession number :
- edsair.doi.dedup.....65ccf76c5656fd065c7a73ed744e577d
- Full Text :
- https://doi.org/10.1016/j.watres.2019.114932⟩