Project objectives

The OptiFlex R&D project aims to manage the consumption of renewable energy in energy communities (ECs) in such a way that it corresponds as closely as possible to current availability, particularly from local sources. The aim is to increase the share of self-consumption within ECs and reduce the use of fossil fuels. The focus is on a participatory approach in which technical optimizations in energy management (demand side management) serve as decision support, while the actual adjustments – such as time windows for hot water production or other flexible consumers – are coordinated with the users. This ensures both technical efficiency and social acceptance.

Innovation and system integration

The innovation of the project lies in the first-time combination of a participatory approach to identifying flexibilities with a data-based, technical analysis. Using machine learning methods, patterns are identified in the consumption data of the EGs that indicate potentially flexible consumers. These “learned” flexibilities are then discussed, specified, and validated with the residents or users. On this basis, optimized load profiles are created that adapt as well as possible to the available renewable energy. Depending on the degree of automation in the residential building, implementation ranges from manual adjustment suggestions to semi-automated schedules to fully dynamic control algorithms that respond in real time to fluctuations in production and load. Weather forecasts and production predictions (e.g., nowcasting) are integrated into the optimization process to enable proactive action.

Results and benefits

The core result is the creation of tried-and-tested decision support systems for energy communities that combine technical optimization processes with participatory user involvement. These systems increase the share of renewable energy consumed by energy communities, boost energy management efficiency, and at the same time ensure acceptance by community members. The prototypical implementation in interested, existing energy communities provides reliable findings for later widespread application. In the long term, the project contributes to reducing dependence on fossil fuels, stabilizing local grids, and achieving national climate and energy goals.