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The Open Energy Modelling Framework (oemof) - A New Approach to Facilitate Open Science in Energy System Modelling

The Open Energy Modelling Framework (oemof) - A New Approach to Facilitate Open Science in Energy System Modelling
Energy system models have become indispensable to shape future energy systems by providing insights into different trajectories. However, sustainable systems with high shares of renewable energy are characterized by growing cross-sectoral interdependencies and decentralized structures. To capture important properties of increasingly complex energy systems, sophisticated and flexible modelling tools are needed. At the same time open science becomes increasingly important in energy system modelling. This paper presents the Open Energy Modelling Framework (oemof) as a novel approach in energy system modelling, representation and analysis. The framework forms a toolbox to construct comprehensive energy system models and has been published open source under a free license. With a collaborative development based on open processes the framework seeks for a maximum level of participation and transparency to facilitate open science principles in energy system modelling. Based on a generic graph based description of energy systems it is well suited to flexibly model complex cross-sectoral systems and incorporate various modelling approaches. This makes the framework a multi-purpose modelling environment for modelling and analyzing different systems ranging from an urban to a transnational scale.
- Reiner Lemoine Institute Germany
- University of Flensburg Germany
- Flensburg University of Applied Sciences Germany
FOS: Computer and information sciences, other, Computational Engineering, Finance, and Science (cs.CE), Computer Science - Computational Engineering, Finance, and Science
FOS: Computer and information sciences, other, Computational Engineering, Finance, and Science (cs.CE), Computer Science - Computational Engineering, Finance, and Science
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