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Coupled model for microbial growth and phase mass transfer in pressurized batch reactors in the context of underground hydrogen storage

A rising interest in a strong hydrogen economy as a part of the future net-zero economy results in an increasing necessity to store hydrogen as a raw material or an energy carrier. Experience and studies show that storing hydrogen in deep underground sites could enable microbial conversion of hydrog...

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Autores principales: Strobel, Gion, Hagemann, Birger, Lüddeke, Christian Truitt, Ganzer, Leonhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110988/
https://www.ncbi.nlm.nih.gov/pubmed/37082185
http://dx.doi.org/10.3389/fmicb.2023.1150102
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author Strobel, Gion
Hagemann, Birger
Lüddeke, Christian Truitt
Ganzer, Leonhard
author_facet Strobel, Gion
Hagemann, Birger
Lüddeke, Christian Truitt
Ganzer, Leonhard
author_sort Strobel, Gion
collection PubMed
description A rising interest in a strong hydrogen economy as a part of the future net-zero economy results in an increasing necessity to store hydrogen as a raw material or an energy carrier. Experience and studies show that storing hydrogen in deep underground sites could enable microbial conversion of hydrogen. To predict and examine the loss of hydrogen, laboratory studies, and analysis are essential. A growth model is required to interpret batch or chemostat experiments. With this model, the parameters of microbial growth, and the conversion of hydrogen can be specified. This study presents experiments with methanogens and a hydrogen/carbon dioxide gas mixture performed in batch reactors. Further, the microbial growth was modeled by a double Monod model with hydrogen and carbon dioxide as the limiting substrates. As the amount of carbon dioxide dissolved in the water phase can not be neglected, both phases were considered in the proposed model. The mass-transfer rate between the gas and water phase was implemented by a linear relation including the concentrations in both phases and the mass-transfer coefficient. With the resulting coupled model, it was possible to match the pressure behavior in the reactor and conclude the microbial growth kinetics. Two types of methanogenic species were tested to validate the model. The mass transfer coefficient proves to impact the growth behavior in porous media. The mathematical model and experimental data are necessary to determine the growth rate and yield coefficient.
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spelling pubmed-101109882023-04-19 Coupled model for microbial growth and phase mass transfer in pressurized batch reactors in the context of underground hydrogen storage Strobel, Gion Hagemann, Birger Lüddeke, Christian Truitt Ganzer, Leonhard Front Microbiol Microbiology A rising interest in a strong hydrogen economy as a part of the future net-zero economy results in an increasing necessity to store hydrogen as a raw material or an energy carrier. Experience and studies show that storing hydrogen in deep underground sites could enable microbial conversion of hydrogen. To predict and examine the loss of hydrogen, laboratory studies, and analysis are essential. A growth model is required to interpret batch or chemostat experiments. With this model, the parameters of microbial growth, and the conversion of hydrogen can be specified. This study presents experiments with methanogens and a hydrogen/carbon dioxide gas mixture performed in batch reactors. Further, the microbial growth was modeled by a double Monod model with hydrogen and carbon dioxide as the limiting substrates. As the amount of carbon dioxide dissolved in the water phase can not be neglected, both phases were considered in the proposed model. The mass-transfer rate between the gas and water phase was implemented by a linear relation including the concentrations in both phases and the mass-transfer coefficient. With the resulting coupled model, it was possible to match the pressure behavior in the reactor and conclude the microbial growth kinetics. Two types of methanogenic species were tested to validate the model. The mass transfer coefficient proves to impact the growth behavior in porous media. The mathematical model and experimental data are necessary to determine the growth rate and yield coefficient. Frontiers Media S.A. 2023-04-04 /pmc/articles/PMC10110988/ /pubmed/37082185 http://dx.doi.org/10.3389/fmicb.2023.1150102 Text en Copyright © 2023 Strobel, Hagemann, Lüddeke and Ganzer. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Strobel, Gion
Hagemann, Birger
Lüddeke, Christian Truitt
Ganzer, Leonhard
Coupled model for microbial growth and phase mass transfer in pressurized batch reactors in the context of underground hydrogen storage
title Coupled model for microbial growth and phase mass transfer in pressurized batch reactors in the context of underground hydrogen storage
title_full Coupled model for microbial growth and phase mass transfer in pressurized batch reactors in the context of underground hydrogen storage
title_fullStr Coupled model for microbial growth and phase mass transfer in pressurized batch reactors in the context of underground hydrogen storage
title_full_unstemmed Coupled model for microbial growth and phase mass transfer in pressurized batch reactors in the context of underground hydrogen storage
title_short Coupled model for microbial growth and phase mass transfer in pressurized batch reactors in the context of underground hydrogen storage
title_sort coupled model for microbial growth and phase mass transfer in pressurized batch reactors in the context of underground hydrogen storage
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110988/
https://www.ncbi.nlm.nih.gov/pubmed/37082185
http://dx.doi.org/10.3389/fmicb.2023.1150102
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