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  4. Open data for energy networks: introducing DAVE - a data fusion tool for automated network generation
 
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2024
Journal Article
Title

Open data for energy networks: introducing DAVE - a data fusion tool for automated network generation

Abstract
Developing a sustainable energy system for the future requires new ways of planning and operating energy infrastructure. A large part of this involves suitable network models. Real network data is not available for research without restrictions since energy networks are part of the critical infrastructure. Using open datasets and expert rules to generate non-restricted models is one solution to this. This paper introduces open data for energy networks generated by the open-source software "DAVE". The Python-based data fusion tool DAVE can automatically generate customized energy network models quickly and on demand. The software collects data from various databases and uses appropriate methods to fuse them. The current version of the tool can create GIS-based power networks and gas transportation networks, with output that is compatible with common network simulation software. Further developments are planned for creating thermal and gas distribution networks, as these are important for local heat power transition. Implementing a quality description for fused datasets will also be included in future development.
Author(s)
Banze, Tobias  
Fraunhofer-Institut für Energiewirtschaft und Energiesystemtechnik IEE  
Kneiske, Tanja Manuela  
Fraunhofer-Einrichtung für Energieinfrastrukturen und Geothermie IEG  
Journal
Scientific Reports  
Open Access
DOI
10.1038/s41598-024-52199-w
Language
English
Fraunhofer-Institut für Energiewirtschaft und Energiesystemtechnik IEE  
Fraunhofer-Einrichtung für Energieinfrastrukturen und Geothermie IEG  
Fraunhofer Group
Fraunhofer-Verbund Energietechnologien und Klimaschutz  
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