Evidence map›Paper›PMID 35418101›Full record

ArticleBiotechnology for biofuels and bioproducts2022

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

Carmen De Crescenzo, Antonia Marzocchella, Despina Karatza, Antonio Molino, Pamela Ceron-Chafla, Ralph E F Lindeboom, Jules B van Lier, Simeone Chianese, Dino Musmarra

Abstract read
In one paragraph

Article in Biotechnology for biofuels and bioproducts, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Carmen De CrescenzoDepartment of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031, Aversa, Italy.
Antonia MarzocchellaDepartment of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031, Aversa, Italy.
Despina KaratzaDepartment of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031, Aversa, Italy.
Antonio MolinoDepartment 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-ChaflaSanitary 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 LindeboomSanitary 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 LierSanitary Engineering Section, Faculty of Civil Engineering and Geosciences, Department of Water Management, Delft University of Technology, Stevinweg 1, 2628 CN, Delft, Netherlands.
Simeone ChianeseDepartment of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031, Aversa, Italy. simeone.chianese@unicampania.it.ORCID http://orcid.org/0000-0002-9356-845X
Dino MusmarraDepartment of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031, Aversa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPressurised 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.

resultsUnder 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

conclusionsThe 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.

Indexed as

ADM1-based kinetic modelAutogenerative high-pressure anaerobic digestion (AHPD)Batch operationKinetic and biological parameters assessmentPressurised biogasSensitivity analysis

Identifiers

PMID35418101
PMCPMC8857836

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