| Name | SciGrid: Open Source Reference Model of European Transmission Networks for Scientific Analysis |
| Acronym | SciGrid |
| Methodical Focus | automated network model |
| Institution(s) | DLR Institute of Networked Energy Systems (DLR-VE) |
| Author(s) (institution, working field, active time period) | Carsten Matke (DLR; Modelling and simulation of power networks; 2014-2017), Wided Medjroubi (DLR; Modelling and simulation of power networks; 2014-today) |
| Current contact person | Wided Medjroubi |
| Contact (e-mail) | wided.medjroubi@dlr.de |
| Website | https://power.scigrid.de/ |
| Logo |
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| Primary Purpose | Providing transmission network datasets for Europe including its nodes (electrical substations) and edges (transmission lines) at the transmission level (above 220 kV). |
| Primary Outputs | electricity transmission network (>= 220 kV, georeferenced network model contaning power substations and the transmission lines linking them as well as their electrical parameters). |
| Support / Community / Forum | |
| Framework | |
| Link to User Documentation | {https://power.scigrid.de/pages/general-information.html} |
| Link to Developer/Code Documentation | https://power.scigrid.de/releases_archive/SciGRID_Userguide_V0.2.pdf |
| Documentation quality | good |
| Source of funding | BMBF Project under the "Zukünftige Stromnetze Initiative!" |
| Number of developers | less than 10 |
| Number of users | less than 100 |
| Open Source | |
| License | Academic Free License v3.0 |
| Source code available | |
| GitHub | |
| Access to source code | http://git.scigrid.de/ |
| Data provided | all data |
| Collaborative programming |
| Modelling software | Python, PostgreSQL, osmosis |
| Internal data processing software | Python, PostgreSQL, osmosis |
| External optimizer | |
| Additional software | |
| GUI |
| Modeled energy sectors (final energy) |
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| Modeled demand sectors |
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| Modeled technologies: components for power generation or conversion |
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| Modeled technologies: components for transfer, infrastructure or grid |
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| Properties electrical grid |
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| Modeled technologies: components for storage |
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| User behaviour and demand side management | |||||||
| Changes in efficiency | |||||||
| Market models | - | ||||||
| Geographical coverage | Germany | ||||||
| Geographic (spatial) resolution |
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| Time resolution | - | ||||||
| Comment on geographic (spatial) resolution | |||||||
| Observation period | - | ||||||
| Additional dimensions (sector) |
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| Model class (optimisation) | - |
| Model class (simulation) | Bottom up |
| Other | |
| Short description of mathematical model class | To construct the SciGRID model using OpenStreetMap data, the transmission network components need to be accurately and correctly defined, isolated and reproduced in a consistent and an automatized fashion. The SciGRID transmission model is currently based on using the "power" relations, more information about the SciGRID usage of "power" relations are available here: https://power.scigrid.de/posts/2015-Jul-02_power-relations-in-openstreetmap.html |
| Mathematical objective | - |
| Approach to uncertainty | Deterministic |
| Suited for many scenarios / monte-carlo | |
| typical computation time | less than an hour |
| Typical computation hardware | CPU |
| Technical data anchored in the model | No |
| Interfaces | |
| Model file format | .py |
| Input data file format | .xml |
| Output data file format | .csv |
| Integration with other models | pypsa |
| Integration of other models |
| Citation reference | Medjroubi, W., Müller, U. P., Scharf, M., Matke, C., & Kleinhans, D. (2017). Open data in power grid modelling: new approaches towards transparent grid models. Energy Reports, 3, 14-21. |
| Citation DOI | https://doi.org/10.1016/j.egyr.2016.12.001 |
| Reference Studies/Models | See above |
| Example research questions | Modelling and simulating the operation of the German power transmission network, Evaluation of the utilization rates of transmission network, Evaluation of the extension of the transmission network on the utilization rates of transmission lines, identifying transmission bottelnecks |
| Model usage | - |
| Model validation |
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| Example research questions | Modelling and simulating the operation of the German power transmission network, Evaluation of the utilization rates of transmission network, Evaluation of the extension of the transmission network on the utilization rates of transmission lines, identifying transmission bottelnecks |
| further properties | |
| Model specific properties | open source, open data, code and model documentation available, input and output data provided, georeferenced, complete represenation of the German transmission network, includes electrical properties |