The Open Energy Modelling Framework (oemof) - A new approach to facilitate open science in energy system modelling
Autor: | Stephan Günther, Cord Kaldemeyer, Guido Plessmann, Clemens Wingenbach, Simon Hilpert, Uwe Krien |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
FOS: Computer and information sciences
Open science Decision support system business.industry Computer science 020209 energy media_common.quotation_subject other 02 engineering and technology Transparency (human–computer interaction) Toolbox Renewable energy Interdependence Computational Engineering Finance and Science (cs.CE) 0202 electrical engineering electronic engineering information engineering Systems engineering Graph (abstract data type) business Representation (mathematics) Computer Science - Computational Engineering Finance and Science Energy (signal processing) Energy (miscellaneous) media_common |
Popis: | Energy system models have become indispensable tools for planning future energy systems by providing insights into different development 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 is becoming increasingly important in energy system modelling. This paper presents the Open Energy Modelling Framework (oemof) as a novel approach to energy system modelling, representation and analysis. The framework provides a toolbox to construct comprehensive energy system models and has been published open source under a free licence. Through collaborative development based on open processes, the framework supports a maximum level of participation, transparency and 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 at scales ranging from urban to transnational. |
Databáze: | OpenAIRE |
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