Assessing practical identifiability during calibration and cross-validation of a structured model for high-solids anaerobic digestion. (1st November 2019)

• Record Type: Journal Article
• Authors: Pastor-Poquet, Vicente; Papirio, Stefano; Harmand, Jérôme; Steyer, Jean-Philippe; Trably, Eric; Escudié, Renaud; Esposito, Giovanni
• Is Part Of: Water research. Volume 164(2019)
• Publication Date: 2019-11-01
• Subjects: High-solids anaerobic digestion model -- Ammonia inhibition -- Ionic strength -- Global sensitivity analysis -- Approximate bayesian computation; Water -- Pollution -- Research -- Periodicals; 363.7394
• DOI: 10.1016/j.watres.2019.114932
• Languages: English
• ISSNs: 0043-1354

Abstract

Abstract: 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. Graphical abstract: Image 1 Highlights: GSA and ABC served to assess practical identifiability in a structured HS-AD model. Up to 8 biochemical parameter posterior distributions were correctly identified. HS-AD might be operated at NH3 ≥ 2.3 g N/L and ionic strengths ≥ 0.9 M. A non-competitive NH3 inhibition function might not be suited for HS-AD simulations.