Fezzani, Boubaker 
ORCID: https://orcid.org/0009-0008-7090-890X et Rouissi, Tarek ORCID: https://orcid.org/0000-0001-9039-213X
(2025).
Modeling the anaerobic digestion of wastewater from the Esparto paper industry using the IWA anaerobic digestion model no. 1.
Euro-Mediterranean Journal for Environmental Integration
, vol. 10
, nº 4.
pp. 2061-2079.
DOI: 10.1007/s41207-025-00747-9.
Résumé
The implementation of Anaerobic Digestion Model No. 1 (ADM1) for simulating bio-methanization processes in complex organic industrial wastewaters (OIW) significantly enhances our understanding of the challenges associated with anaerobic digestion. This improved insight effectively addresses inhibition issues, facilitates the design of optimized full-scale industrial plants, and accurately predicts system behavior under varying organic loads, thereby supporting effective operational management. In this novel study, ADM1 was modified and implemented within MATLAB/Simulink to replicate updated lab-scale experimental datasets from Rouissi et al. (Study of the biodegradability of effluents from the paper industry based on esparto pulp (or Stipa tenacissima pulp). 24th Eastern Canada Symposium of the Canadian Association for Water (CAWQ, November 2008), Abstract book, p. 66, McGill University, Montréal, 2008), who investigated the mesophilic anaerobic digestion of Esparto paper industry wastewater (EPIW). Their findings revealed a net biogas productivity of approximately 0.75 L/L.dig for EPIW discharged at the first extraction step (Run R1) and 0.35 L/L.dig for EPIW released at the output of the Esparto paper industry (Run R2), with an average methane content of 60% for both the inoculum and the types of EPIW studied. The model was calibrated using results from Run R1, achieving impressive accuracy with mean absolute relative errors (MARE) ranging from 5 to 30% across key performance indicators. A parametric sensitivity analysis was conducted to identify the most critical ADM1 parameters for estimation through an iterative method, while other parameters were held constant. Validation of the model using data from Run R2 demonstrated its effectiveness in accurately predicting Gas volume, CH4, pH levels, Ammonium Nitrogen (N-NH4+) and TVFA concentrations, showcasing its capability to accurately replicate experimental outcomes with MARE of 5%, 20%, 15%, 15% and 10% respectively; These findings underscore the model's potential to enhance design and operational strategies for industrial anaerobic digestion plants. Furthermore, this modeling approach promotes environmental sustainability by improving the efficiency and predictability of wastewater treatment processes. It mitigates potential environmental impacts through the optimized design and operation of anaerobic digestion systems, fosters resource recovery through bio-methanization, and enables the reuse of treated water. This integration not only optimizes the treatment process but also contributes to sustainable industrial practices by minimizing waste and recovering valuable resources.
| Type de document: | Article |
|---|---|
| Mots-clés libres: | bio-methanization; modeling; IWA-ADM1; esparto paper industry wastewater; mesophilic temperature; anaerobic digestion |
| Centre: | Centre Eau Terre Environnement |
| Date de dépôt: | 15 sept. 2025 19:15 |
| Dernière modification: | 15 sept. 2025 19:15 |
| URI: | https://espace.inrs.ca/id/eprint/16599 |
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