Modelling of autogenerative high-pressure anaerobic digestion in a batch reactor for the production of pressurised biogas.

ADM1-based kinetic model Autogenerative high-pressure anaerobic digestion (AHPD) Batch operation Kinetic and biological parameters assessment Pressurised biogas Sensitivity analysis

Journal

Biotechnology for biofuels and bioproducts
ISSN: 2731-3654
Titre abrégé: Biotechnol Biofuels Bioprod
Pays: England
ID NLM: 9918300888906676

Informations de publication

Date de publication:
18 Feb 2022
Historique:
received: 22 11 2021
accepted: 02 02 2022
entrez: 14 4 2022
pubmed: 15 4 2022
medline: 15 4 2022
Statut: epublish

Résumé

Pressurised anaerobic digestion allows the production of biogas with a high content of methane and, at the same time, avoid the energy costs for the biogas upgrading and injection into the distribution grid. The technology carries potential, but the research faces practical constraints by a.o. the capital investment needed in high-pressure reactors and sensors and associated sampling limitations. In this work, the kinetic model of an autogenerative high-pressure anaerobic digestion of acetate, as the representative compound of the aceticlastic methanogenesis route, in batch configuration, is proposed to predict the dynamic performance of pressurised digesters and support future experimental work. The modelling of autogenerative high-pressure anaerobic digestion in batch configuration, which is not extensively studied and simulated in the present literature, was developed, calibrated, and validated by using experimental results available from the literature. Under high-pressure conditions, the assessment of the Monod maximum specific uptake rate, the half-saturation constant and the first-order decay rate was carried out, and the values of 5.9 kg COD kg COD The proposed model allowed to estimate the Monod maximum specific uptake rate for acetate, the half-saturation rate for acetate and the first-order decay rate constant, which were comparable with literature values reported for well-studied methanogens under anaerobic digestion at atmospheric pressure. The methane molar fraction and the final pressure predicted by the model showed different responses towards the variation of the gas-liquid mass transfer coefficient since the former seemed not to be affected by the variation of the gas-liquid mass transfer coefficient; in contrast, the final pressure seemed to be slightly influenced. The proposed approach may also allow to potentially identify the methanogens species able to be predominant at high pressure.

Sections du résumé

BACKGROUND BACKGROUND
Pressurised anaerobic digestion allows the production of biogas with a high content of methane and, at the same time, avoid the energy costs for the biogas upgrading and injection into the distribution grid. The technology carries potential, but the research faces practical constraints by a.o. the capital investment needed in high-pressure reactors and sensors and associated sampling limitations. In this work, the kinetic model of an autogenerative high-pressure anaerobic digestion of acetate, as the representative compound of the aceticlastic methanogenesis route, in batch configuration, is proposed to predict the dynamic performance of pressurised digesters and support future experimental work. The modelling of autogenerative high-pressure anaerobic digestion in batch configuration, which is not extensively studied and simulated in the present literature, was developed, calibrated, and validated by using experimental results available from the literature.
RESULTS RESULTS
Under high-pressure conditions, the assessment of the Monod maximum specific uptake rate, the half-saturation constant and the first-order decay rate was carried out, and the values of 5.9 kg COD kg COD
CONCLUSIONS CONCLUSIONS
The proposed model allowed to estimate the Monod maximum specific uptake rate for acetate, the half-saturation rate for acetate and the first-order decay rate constant, which were comparable with literature values reported for well-studied methanogens under anaerobic digestion at atmospheric pressure. The methane molar fraction and the final pressure predicted by the model showed different responses towards the variation of the gas-liquid mass transfer coefficient since the former seemed not to be affected by the variation of the gas-liquid mass transfer coefficient; in contrast, the final pressure seemed to be slightly influenced. The proposed approach may also allow to potentially identify the methanogens species able to be predominant at high pressure.

Identifiants

pubmed: 35418101
doi: 10.1186/s13068-022-02117-x
pii: 10.1186/s13068-022-02117-x
pmc: PMC8857836
doi:

Types de publication

Journal Article

Langues

eng

Pagination

20

Informations de copyright

© 2022. The Author(s).

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Auteurs

Carmen De Crescenzo (C)

Department of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031, Aversa, Italy.

Antonia Marzocchella (A)

Department of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031, Aversa, Italy.

Despina Karatza (D)

Department of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031, Aversa, Italy.

Antonio Molino (A)

Department of Sustainability, ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, CR Portici Piazzale Enrico Fermi, 1, 80055, Portici, NA, Italy.

Pamela Ceron-Chafla (P)

Sanitary Engineering Section, Faculty of Civil Engineering and Geosciences, Department of Water Management, Delft University of Technology, Stevinweg 1, 2628 CN, Delft, Netherlands.

Ralph E F Lindeboom (REF)

Sanitary Engineering Section, Faculty of Civil Engineering and Geosciences, Department of Water Management, Delft University of Technology, Stevinweg 1, 2628 CN, Delft, Netherlands.

Jules B van Lier (JB)

Sanitary Engineering Section, Faculty of Civil Engineering and Geosciences, Department of Water Management, Delft University of Technology, Stevinweg 1, 2628 CN, Delft, Netherlands.

Simeone Chianese (S)

Department of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031, Aversa, Italy. simeone.chianese@unicampania.it.

Dino Musmarra (D)

Department of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031, Aversa, Italy.

Classifications MeSH