Welcome to the Flexibility Model Recommender!
Supporting Your Research in the Energy Domain
The Flexibility Model Recommender is a tool designed to help you find relevant scientific papers and models on flexibility in the energy sector. It has been developed by the group Distributed Artificial Intelligence at OFFIS e.V. in Oldenburg.
An increasing range of flexibility models and their respective scientific publications has been collected, covering various perspectives and applications within the energy domain. Whether you are conducting academic research or working on an applied project, this recommender helps you identify suitable models based on a structured set of parameters. These parameters are largely based on, and derived from, the meta-research paper A Review of Models for Energy System Flexibility Requirements and Potentials Using the New FLEXBLOX Taxonomy (2023).
What Is Flexibility in the Energy Domain?
In the energy domain, flexibility describes the ability of energy systems, assets, or actors to adapt their behavior over time in response to changing conditions. These conditions may include fluctuations in electricity demand, variability of renewable energy sources, grid constraints, or market signals. Flexibility can be provided by modifying generation, consumption, storage, or their temporal characteristics.
A flexibility model is a formal representation of this adaptive capability. It specifies what aspects of an energy system can be adjusted, to what extent, how quickly, under which technical or operational constraints, and with which objectives or consequences. Such models are used in simulation, optimization, and control approaches to analyze, compare, and coordinate flexible energy resources in modern and future energy systems.
Please note: The Flexibility Model Recommender is an ongoing development. We continuously update and refine it to include additional models and publications. Feedback from the research community is highly welcome and helps improve the quality and coverage of this tool.
Getting Started
To begin, follow the Step-by-Step guide and explore the
recommended models.
The tutorial demonstrates how to use the Flexibility Model
Recommender by walking through a sample
scenario of a Virtual Power Plant (VPP). It covers the steps of exploring parameter options,
selecting mandatory and desired parameters for the scenario, adjusting
match requirements, and retrieving matching flexibility models. By following these steps, users can
efficiently identify the most suitable flexibility models for their specific needs.
If you need more information or have specific questions, feel free to reach out to us.
The authors would like to thank the German Federal Government, the German State Governments, and the Joint Science Conference (GWK) for their funding and support as part of the NFDI4Energy. The work was (partially) funded by the German Research Foundation (DFG) under the National Research Data Infrastructure – NFDI4Energy – 501865131.