Open Source | |
License | BSD 3-clause 'New' or 'Revised' license |
Source code available | |
GitHub | |
Access to source code | https://gitlab.com/dlr-ve/esy/remix/framework |
Data provided | example data |
Collaborative programming |
Modelling software | GAMS; Python |
Internal data processing software | JavaScript; Excel; Python |
External optimizer | CPLEX; gurobi; PIPS-IPM++ |
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 | Consideration of demand response in industry, household and tertiary sector, see http://dx.doi.org/10.1016/j.apenergy.2015.10.083 | ||||||
Changes in efficiency | Considered only in input data | ||||||
Market models | fundamental model | ||||||
Geographical coverage | Global | ||||||
Geographic (spatial) resolution |
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Time resolution | hour | ||||||
Comment on geographic (spatial) resolution | Global renewable energy database. Past model applications mostly to Germany and Europe, but also Brazil, USA, China and others | ||||||
Observation period | 1 year, >1 year | ||||||
Additional dimensions (sector) |
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Model class (optimisation) | LP, MILP |
Model class (simulation) | - |
Other | |
Short description of mathematical model class | |
Mathematical objective | CO2, costs, RE-share, any considered, could also be e.g. material demand |
Approach to uncertainty | Deterministic, Stochastic |
Suited for many scenarios / monte-carlo | |
typical computation time | more than a day |
Typical computation hardware | - |
Technical data anchored in the model | no |
Interfaces | Own Python API |
Model file format | .gms |
Input data file format | .dat, .csv |
Output data file format | .gdx, .csv, .xls |
Integration with other models | EnDAT (global wind and solar power generation potential database), AMIRIS, venco.py |
Integration of other models |
Citation reference | see below |
Citation DOI | http://dx.doi.org/10.1016/j.energy.2017.01.115 , http://dx.doi.org/10.1016/j.eneco.2016.06.021 , http://dx.doi.org/10.1016/j.apenergy.2016.12.023 , http://dx.doi.org/10.1016/j.renene.2016.12.043 , http://dx.doi.org/10.1088/1748-9326/11/1/014012 , http://dx.doi.org/10.1016/j.apenergy.2015.10.083, http://dx.doi.org/10.3390/en10111859 , http://dx.doi.org/10.18419/opus-2015 , http://dx.doi.org/10.18419/opus-6855 , http://dx.doi.org/10.18419/opus-2339, http://dx.doi.org/10.18419/opus-6888 , http://dx.doi.org/10.18419/opus-9373 , https://doi.org/10.1016/j.ijhydene.2017.02.102 , https://doi.org/10.1016/j.est.2017.10.004 , https://doi.org/10.1016/j.renene.2017.10.041 , https://doi.org/10.1016/j.energy.2017.01.012 |
Reference Studies/Models | http://elib.dlr.de/107961/ , http://elib.dlr.de/93240/ , http://elib.dlr.de/103733/ , http://elib.dlr.de/103522/ , http://elib.dlr.de/99778/ , http://elib.dlr.de/95863/ , http://elib.dlr.de/94979/ , http://elib.dlr.de/77130/ , http://elib.dlr.de/76043/ , http://fp7-advance.eu/sites/default/files/documents/WP7/ADVANCE-Synthesis-Report.pdf, |
Example research questions | How do overall power generation costs develop at high variable renewable energy (VRE) shares and at different proportions of wind and solar power? How does VRE power generation interact with transmission, storage, sector coupling and backup power generation? Which infrastructural developments and investments are required to maintain security of supply? Which technologies can provide backup at the lowest cost? To what extent are curtailments expected as an ultimate balancing measure after transmission and storage? |
Model usage | - |
Model validation |
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Example research questions | How do overall power generation costs develop at high variable renewable energy (VRE) shares and at different proportions of wind and solar power? How does VRE power generation interact with transmission, storage, sector coupling and backup power generation? Which infrastructural developments and investments are required to maintain security of supply? Which technologies can provide backup at the lowest cost? To what extent are curtailments expected as an ultimate balancing measure after transmission and storage? |
further properties | |
Model specific properties | - |