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Scientific Grid Model of European Gas Transmission Networks
by DLR Institute of Networked Energy Systems
Authors:
Jan Diettrich, Wided Medjroub, Adam Pluta
Contact:
Jan Diettrich, Wided Medjroub, Adam Pluta
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The SciGRID_gas project provides an open-source gastransmission data model for Europe with rich geographical and meta information originating from various publicly available sources. It is build by the German Aerospace Center DLR Institute of Networked Energy Systems Oldenburg and funded as a three year project by the German Federal Ministry for Economic Affairs and Energy (BMWi).
The following SciGRID_gas data sets are available at https://zenodo.org/search?page=1&size=20&q=SciGRID_gas:
• INET_Raw: InternetDaten data set
• INET_filled: INET_raw dataset with all empty values estimated by heuristic processes and filled into the dataset.
• GIE_Raw: Gas Infrastructure Europe data set
• NO_Raw: Norway data set
• LKD_Raw: Long-term Planning and Short-term Optimization data set
• EMAP_Raw: Entsog Capacity Map 2019
• SciGRID_gas IGG: merged data sets of INET_raw, GIE and International Gas Union data set (GSE) data and heuristic process to fill missing parameter values
• SciGRID_gas IGGI: merged data sets of INET, GIE, GSE and International Gas Union data set (IGU)
• SciGRID_gas IGGIN: merged data sets of INET, GIE, GSE, IGU and NO
• SciGRID_gas IGGINL: merged data sets of INET, GIE, GSE, IGU, NO and LKD
Based on GeoJSON & CSV. Using for data processing.
Website / Documentation
Download
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 Open Source
Creative Commons Attribution 4.0 (CC-BY-4.0)
Directly downloadable
Input data shipped
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| Model Scope |
Model type and solution approach |
| Model class
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European Gas Transmission Network Model and Data (input and output)
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| Sectors
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Gas
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| Technologies
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| Decisions
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| Regions
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Europe
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| Geographic Resolution
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Individual gas transmission elements (pipelines, compressorstations, borderpoints etc.)
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| Time resolution
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| Network coverage
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| Model type
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Simulation, Other
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| Variables
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| Computation time
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minutes
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| Objective
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| Uncertainty modeling
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| Suited for many scenarios / monte-carlo
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No
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References
Scientific references
[[citation_references::Jan Diettrich, Wided Medjroubi & Adam Pluta. (2020). SciGRID_gas IGGINL (Version 1.0.0) [Data Set]. Zenobo. http://doi.org/10.5281/zenobo.4288440]]
https://dx.doi.org/10.5281/zenodo.4288440
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