TY  - JOUR
A1  - Dantism, Shahriar
A1  - Röhlen, Desiree
A1  - Dahmen, Markus
A1  - Wagner, Torsten
A1  - Wagner, Patrick
A1  - Schöning, Michael Josef
T1  - LAPS-based monitoring of metabolic responses of bacterial cultures in a paper fermentation broth
JF  - Sensors and Actuators B: Chemical
N2  - As an alternative renewable energy source, methane production in biogas plants is gaining more and more attention. Biomass in a bioreactor contains different types of microorganisms, which should be considered in terms of process-stability control. Metabolically inactive microorganisms within the fermentation process can lead to undesirable, time-consuming and cost-intensive interventions. Hence, monitoring of the cellular metabolism of bacterial populations in a fermentation broth is crucial to improve the biogas production, operation efficiency, and sustainability. In this work, the extracellular acidification of bacteria in a paper-fermentation broth is monitored after glucose uptake, utilizing a differential light-addressable potentiometric sensor (LAPS) system. The LAPS system is loaded with three different model microorganisms (Escherichia coli, Corynebacterium glutamicum, and Lactobacillus brevis) and the effect of the fermentation broth at different process stages on the metabolism of these bacteria is studied. In this way, different signal patterns related to the metabolic response of microorganisms can be identified. By means of calibration curves after glucose uptake, the overall extracellular acidification of bacterial populations within the fermentation process can be evaluated.
Y1  - 2020
U6  - http://dx.doi.org/10.1016/j.snb.2020.128232
SN  - 0925-4005
VL  - 320
IS  - Art. 128232
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - Dotzauer, Martin
A1  - Pfeiffer, Diana
A1  - Lauer, Markus
A1  - Pohl, Marcel
A1  - Mauky, Eric
A1  - Bär, Katharina
A1  - Sonnleitner, Matthias
A1  - Zörner, Wilfried
A1  - Hudde, Jessica
A1  - Schwarz, Björn
A1  - Faßauer, Burkhardt
A1  - Dahmen, Markus
A1  - Rieke, Christian
A1  - Herbert, Johannes
A1  - Thrän, Daniela
T1  - How to measure flexibility – Performance indicators for demand driven power generation from biogas plants
JF  - Renewable Energy
Y1  - 2019
U6  - http://dx.doi.org/10.1016/j.renene.2018.10.021
SN  - 0960-1481
SP  - 135
EP  - 146
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - Rieke, Christian
A1  - Stollenwerk, Dominik
A1  - Dahmen, Markus
A1  - Pieper, Martin
T1  - Modeling and optimization of a biogas plant for a demand-driven energy supply
JF  - Energy
N2  - Due to the Renewable Energy Act, in Germany it is planned to increase the amount of renewable energy carriers up to 60%. One of the main problems is the fluctuating supply of wind and solar energy. Here biogas plants provide a solution, because a demand-driven supply is possible. Before running such a plant, it is necessary to simulate and optimize the process. This paper provides a new model of a biogas plant, which is as accurate as the standard ADM1 model. The advantage compared to ADM1 is that it is based on only four parameters compared to 28. Applying this model, an optimization was installed, which allows a demand-driven supply by biogas plants. Finally the results are confirmed by several experiments and measurements with a real test plant.
Y1  - 2018
U6  - http://dx.doi.org/10.1016/j.energy.2017.12.073
SN  - 0360-5442
VL  - 145
SP  - 657
EP  - 664
PB  - Elsevier
CY  - Amsterdam
ER  -