Luus-Jaakola method and ADM1 based optimization of hydrogen sulfide in anaerobic digestion of cow manure
| Autor: | José Antonio Martínez-Villalba, Hugo Jiménez-Islas, J. Manuel Oliveros-Muñoz, Francisco Javier Ríos-Fránquez, Carlos Escamilla-Alvarado, Mayra Yudirian Luna-Porres |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
0303 health sciences Environmental Engineering Hydrogen sulfide Biomedical Engineering Substrate (chemistry) Bioengineering Pulp and paper industry 01 natural sciences 03 medical and health sciences chemistry.chemical_compound Anaerobic digestion chemistry Biogas 010608 biotechnology Bioreactor Limiting oxygen concentration Methane production Cow dung 030304 developmental biology Biotechnology |
| Zdroj: | Biochemical Engineering Journal. 171:108012 |
| ISSN: | 1369-703X |
| Popis: | Anaerobic digestion of cow manure is one of the preferred alternatives for reducing environmental impacts of cattle farming and producing biomethane. Full-scale biodigesters usually incorporate expensive motorized electric generators, whose life cycle is shortened by one of the trace components of biomethane, the corroding hydrogen sulfide, which is a metabolite of strict anaerobic digestion of rich-sulfate substrates. In this work, the extended mathematical model ADM1-S/O and the Luus-Jaakola method were employed to determine in silico the microaeration initiation time of biodigesters treating cow manure as a single substrate that minimizes the hydrogen sulfide production, while methane production remains at competitive levels (0.45 ± 0.02 g of CH4/ g of VS). Optimization results from the mathematical model showed that optimal microaeration initiation time is day 11, whereas oxygen concentration in the biodigester is 1.936 × 10−4 p p m (equivalent to 0.52 g of O 2 / k g of VS). Experimentally validation is evaluated (statistical significance for optimized parameters in the experimental fitting was ≥ 95 %, and CV-RMSE of 12.56 %) in a non-perfectly mixed batch bioreactor of bench-scale. Microbial consortia evolution is simulated to propose a more mechanistic and deeper explanation of the microaeration effect. |
| Databáze: | OpenAIRE |
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