02 Fakultät Bau- und Umweltingenieurwissenschaften

Permanent URI for this collectionhttps://elib.uni-stuttgart.de/handle/11682/3

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Author: search.filters.author.Emmert, SimonSubject: search.filters.subject.500

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    The role of retardation, attachment and detachment processes during microbial coal-bed methane production after organic amendment
    (2020) Emmert, Simon; Davis, Katherine; Gerlach, Robin; Class, Holger
    Microbially enhanced coal-bed methane could allow for a more sustainable method of harvesting methane from un-mineable coaldbeds. The model presented here is based on a previously validated batch model; however, this model system is based on upflow reactor columns compared to previous experiments and now includes flow, transport and reactions of amendment as well as intermediate products. The model implements filtration and retardation effects, biofilm decay, and attachment and detachment processes of microbial cells due to shear stress. The model provides additional insights into processes that cannot be easily observed in experiments. This study improves the understanding of complex and strongly interacting processes involved in microbially enhanced coal-bed methane production and provides a powerful tool able to model the entire process of enhancing methane production and transport during microbial stimulation.
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    Developing and calibrating a numerical model for microbially enhanced coal-bed methane production
    (Stuttgart : Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart, 2021) Emmert, Simon; Class, Holger (apl. Prof. Dr.-Ing.)
    Experimental investigations demonstrate the potential of microbially enhanced coal-bed methane (MECBM) production on the lab scale. However, no in-depth mathematical and conceptual model including all sub-processes is reported in literature so far. With this study, we develop and present a conceptual food-web, included into a numerical model, that is calibrated and validated using batch experiments. The model is extended to model flow and transport features, test hypotheses, and compare against column experiments. Additionally, a sensitivity analysis of the model parameters as well as a preliminary study regarding operator-splitting techniques for the MECBM model are presented.