Dipl.-Ing. Benedikt Eberl,
Dipl.-Phys. Christoph Pellinger,
Felix Böing, M.Sc.,
Dipl.-Ing. (FH) Anna Gruber,
Alexander Murmann, M.Sc.,
Dr.-Ing. Serafin von Roon
The project Merit-Order of Storages (MOS) 2030 discusses the needs of additional storage technologies for the year 2030 from different angles. Not only the systemic point of view is regarded and discussed, but also the potential earnings of different technologies considering fees and taxes for storing energy.
A linear optimization model is deployed to simulate the implementation and usage of different elements of the power system for the year 2030. In the same step, the model optimizes the installation of additional flexibility options such as conventional technologies as well as functional storage systems as demand side management for example. To outline the difference between a systemic point of view and a stakeholder element focused perspective, three different approaches of additional installation and usage of flexibility options are discussed.
In a first step, the systemic optimum of the enhancement and operation of flexibility options is calculated regarding the overall economic costs. The second run describes the usage of the in step 1 defined elements under the context of taxes and fees the different units have to take into account. A third and last run computes anew the additional installation and usage of storage technologies, this time against the background of fees and taxes.
The different simulation runs show that the installed technologies, their capacities and their usage (cf. Figure 1 in full paper) diverge for a systemic point of view and a stakeholder optimum.
While already existing storage systems like pump-storage-systems are used less frequently when fees and taxes increase, functional storage options as DSM in industrial processes and cross-sectional technologies as well as flexible usage of domestic and public heat generation become more and more attractive. Additionally, DSM in industry is the major option for all three optimization runs as its potential is fully developed for the systemic optimization as well as the stakeholder optimal solution.
Dipl.-Ing. Benedikt Eberl, Dipl.-Ing. (FH) Anna Gruber, Dr.-Ing. Serafin von Roon, Dipl.-Phys. Christoph Pellinger, Felix Böing, M.Sc., Alexander Murmann, M.Sc.