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  - 
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  -