Project Report L18-3: Demonstrating the optimal prediction of user behaviour for the virtual energy community
The report includes an introduction, where purposes and target groups are outlined as well as the research questions. Furthermore, the theoretical foundations are explored and the research concept, including the model framework, scenario design and relevant model data. At the end the report concludes with the results of the research such as the evalutation of the basic scenarios and a final summary of the results, impacts and lessons learned.
This study analyses the optimal customer behaviour as reaction to flexible electricity tariffs. In addition, the demand-side management measures are evaluated in combination with a Virtual Power Plant to show its impact on the design of positive energy districts.
As part of Leipzig’s lighthouse demonstrations, an open standard based Information and Communication Technology platform is developed and implemented. The main goal is to upgrade the interaction between energy production, storage capacity and the consuming entities to a virtually connected community. It provides the prerequisites for peer-to-peer energy trading, energy communities, a citywide decentralized virtual power plant, and the link to heat and power sectors. The virtual power plant integrates alternative power generation like solar energy, and combined heat and power with weather and demand forecasts. On the basis of (almost) real time data, the energy consumption and generation can be balanced. Consequently, the platform has to implement real time forecasting and optimisation methods. Additionally, it is planned to simulate the integration of an energy storage in this local energy structure to demonstrate that the ecological end economic efficiency can be further increased.