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STORE

04.2025 – 03.2028

 

STOchastic REcontrol energy call-off for industrial multi-use battery system models

 

Objective
The aim of the project is to develop an expanded energy system model for the multi-use application of industrial battery storage systems. To this end, stochastic optimization will be added to an existing open-source model, which should take uncertainties such as those associated with the retrieval of control energy into account in a realistic manner. In addition, the economic and systemic added value of this grid-friendly flexibilization will be thoroughly analyzed and quantified. The methodology developed will be tested through selected tests and its concrete benefits will be examined in practical case studies with regional companies.

Project content 
As part of the Bavarian High-Tech Agenda, an innovative research project is being carried out to improve the integration of industrial battery energy storage systems (BESS) into the energy system. Manufacturing companies are under increasing pressure from high electricity prices and volatile grid conditions. Battery storage systems offer a key flexibility option here: they can reduce electricity costs by optimizing internal demand, generate revenue on energy markets, and also contribute to grid stability. The project addresses the question of how large-scale industrial storage systems can be operated in a way that is both techno-economically sensible and beneficial to the system. This supports both sound operational decisions and the transformation to a more resilient, renewable energy system.

Sponsor

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Funding line: THWS/HTA

Research associates
Marvin Studtrucker,
Carolin Höchner

Professor
Prof. Dr.-Ing. Fabian Scheller

Contact 
Carolin Höchner