Model Factsheets
| Name | The Open Source energy Model Base for the European Union |
| Acronym | OSeMBE |
| Methodical Focus | ESM |
| Institution(s) | KTH Royal Institute of Technology |
| Author(s) (institution, working field, active time period) | Hauke Henke; KTH Royal Institute of Technology |
| Current contact person | Hauke Henke |
| Contact (e-mail) | haukeh@kth.se |
| Website | http://www.osemosys.org/osembe.html |
| Logo | |
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| Primary Purpose | OSeMBE is designed as an engagement tool. From the choice of modelling system to the representation of the modeled energy system. The aim is to provide a platform for a set of different audiences who want to get engaged with energy modelling, but have no to little previous modelling experience. This could be university students, researchers in and outside the energy field, but also stakeholders like policy makers who intend to get a better understanding of the energy nexus and or modelling. The model provides the base to build a sound and diverse community of modellers and model users that can contribute and develop the model according to their needs in a transparent way. |
| Primary Outputs | Key outputs of OSeMBE are the power generation capacities and generation mixes for all EU28, Switzerland and Norway, as well as the overall system cost. |
| Support / Community / Forum | |
| Framework | OSeMOSYS |
| Link to User Documentation | http://www.osemosys.org/osembe.html |
| Link to Developer/Code Documentation | https://github.com/KTH-dESA/OSeMBE |
| Documentation quality | good |
| Source of funding | REEEM, H2020 project, European Comission |
| Number of developers | less than 10 |
| Number of users | less than 10 |
| Open Source | |
| License | Creative Commons Attribution 4.0 |
| Source code available | |
| GitHub | |
| Access to source code | https://github.com/HauHe/OSeMBE |
| Data provided | all data |
| Collaborative programming |
| GitHub Organisation |
| Modelling software | OSeMOSYS |
| Internal data processing software | MoManIv1.10, Excel |
| 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 | The change in efficiency can be considered in a deterministic way, i.e. the efficiency can be entered on an annual base. | ||||||
| Market models | - | ||||||
| Geographical coverage | |||||||
| Geographic (spatial) resolution |
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| Time resolution | user defined | ||||||
| Comment on geographic (spatial) resolution | The electricity system of all 30 countries included are modeled and connected by the existing and planned trans-border transmission lines. | ||||||
| Observation period | >1 year | ||||||
| Additional dimensions (sector) |
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| Model class (optimisation) | LP |
| Model class (simulation) | Bottom up |
| Other | |
| Short description of mathematical model class | |
| Mathematical objective | costs |
| Approach to uncertainty | Deterministic |
| Suited for many scenarios / monte-carlo | |
| typical computation time | less than a day |
| Typical computation hardware | RAM: 256 GB, CPU: 3.5 GHz |
| Technical data anchored in the model | - |
| Interfaces | MoManI |
| Model file format | .exe |
| Input data file format | text |
| Output data file format | text |
| Integration with other models | |
| Integration of other models |
| Citation reference | Henke, H.T.J., et al., The Base for a European Engagement Model - An Open Source Electricity Model of seven countries around the Baltic Sea, CYSENI 2018, Kaunas, Lithuania |
| Citation DOI | - |
| Reference Studies/Models | https://doi.org/10.5281/zenodo.3368574 |
| Example research questions | Impacts of EU decarbonisation pathways |
| Model usage | REEEM H2020 project, reeem.org |
| Model validation |
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| Example research questions | Impacts of EU decarbonisation pathways |
| further properties | |
| Model specific properties | Stakeholder engagement model |