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Influence of Microbial Processes on the Operational Reliability in a Geothermal Heat Store – Results of Long-term Monitoring at a Full Scale Plant and First Studies in a Bypass System

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Jan 2014 Germany Publisher:Elsevier BVJournal:Energy Procedia, volume 59, pages 412-417 (issn: 1876-6102,

Authors: Würdemann, H.; Westphal, A.; Lerm, S.; Kleyböcker, A.; Teitz, S.; Kasina, M.; Miethling-Graff, R.; +2 Authors

doi: 10.1016/j.egypro.2014.10.396

Influence of Microbial Processes on the Operational Reliability in a Geothermal Heat Store – Results of Long-term Monitoring at a Full Scale Plant and First Studies in a Bypass System

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Abstract

AbstractThis paper describes microbial metabolic processes that are considered to be relevant for the technical reliability of a geothermal heat store. The study reports on changes of the microbial community composition in geothermal well fluids of different temperatures and after plant downtimes monitored by genetic fingerprinting. Stagnant conditions favored the enrichment of bacteria, sulfate reducers (SRB), and sulfur oxidizers (SOB) in the well. Furthermore higher concentrations of DOC, SO42-, H2S, and H2 were detected in the first fluids produced after plant downtime. The increased abundance of SOB indicated oxygen ingress during plant downtime. The interaction of SRB and SOB might have further enhanced corrosion and scaling processes. A mobile bypass system installed at the site will help to understand the processes occurring in the well and to study biofilm formation and corrosion rates at different temperatures.

Country

Germany

Related Organizations

Helmholtz Association of German Research Centres
Germany
Jagiellonian University
Poland
Helmholtz Centre Potsdam
Germany
Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences
Germany

Keywords

geothermal heat store, plant downtime, bypass system, SOB, Microbial influenced corrosion (MIC), SRB

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	16
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%