Collaborative project: SkIES - Scalable Integration of Energy Sharing; Sub-project: System integration through optimized energy and data exchange
The SkIES project aims to implement energy sharing in four relevant application areas:
- in energy cooperatives,
- in the housing energy cooperatives,
- in the housing industry,
- in the grid and system-supporting use of flexibili system-supporting use of flexibilities and
- in power purchase agreements (PPAs).
By developing scalable, interoperable overall solutions for these target groups, the project aims to accelerate the market ramp-up and integrate energy sharing into existing processes in the energy industry.
In addition, the solutions developed are to be the solutions developed will be developed with a focus on interoperability interoperability so that all combinations of energy sharing use cases can be sharing can be easily implemented once the project is complete. These solutions are also to be tested in field trials in three of the four application areas.
The project also aims to test these solutions in field trials in three of the four application areas, analyze the repercussions of energy sharing on the energy system and on individual players in the energy system. On the one hand, this should options for political action in the integration of energy sharing are to be derived and published. On the other hand, however specific guidelines will be published to simplify and accelerate the practical implementation of energy sharing.
In SkIES, the Weihenstephan-Triesdorf University of Applied Sciences (HSWT) is taking on scientific support and technical tasks. tasks in the scientific support and technical system design system design in the context of energy sharing. The focus is on the development of an interoperable digital infrastructure that enables efficient integration of energy sharing into future energy systems. systems. This includes the investigation of incentive mechanisms for the the use of flexibility options and the development of optimization optimization models for controlling and distributing energy within energy communities. within energy communities. A key component is the development of a of a real-time energy database that integrates various data sources sources and forecast models for the analysis and optimization of energy flows. energy flows.
Objective
The open source models and simulation tools developed in the project, as well as the energy database, form the basis for the scientific analysis and assessment of energy sharing concepts. These findings flow directly into research and teaching in order to prepare students for the digital energy transition in a practical way and to promote early-career researchers.
Procedure
The activities of HSWT extend over the entire duration of the project and follow a structured sequence of development, implementation and evaluation phases. In the initial phase, the focus is on initializing the system landscape. This involves identifying the relevant use cases, working out the methodological basis for the digital infrastructure and developing initial processes for integrating the stakeholders involved. The aim is to define an interoperable system architecture with clear technical and organizational framework conditions.
In the subsequent development period, the focus is on implementing the digital infrastructure and developing the necessary models. This includes the creation of a real-time energy database, the integration of relevant data sources and the development and implementation of optimization and coordination mechanisms for energy sharing. At the same time, the technical requirements of the data infrastructure are analyzed and the pilot projects are scientifically supported. The validation of the developed models is carried out using practical simulations and pilot projects.
The final phase serves the scientific dissemination and synthesis of the research results. This includes the publication of scientific articles, the development of practice-oriented guidelines and the public presentation of the project results.
