Model Factsheet

Overview / Energy systems modeling R-toolbox (energyRt)

Model Energy systems modeling R-toolbox (energyRt)

General Information
Name Energy systems modeling R-toolbox
Acronym energyRt
Methodical Focus Optimization
Institution(s)
Author(s) (institution, working field, active time period) Vladimir Potashnikov, Oleg Lugovoy
Current contact person Oleg Lugovoy
Contact (e-mail) olugovoy@gmail.com
Website https://energyrt.org/
Logo
Primary Purpose energyRt is a package for R to develop Reference Energy System (RES) models and analyze energy-technologies. The package includes a standard RES (or "Bottom-Up") linear, cost-minimizing model, which can be solved by GAMS or GLPK. The model has similarities with TIMES/MARKAL, OSeMOSYS, but has its own specifics, f.i. definition of technologies.
Primary Outputs
Support / Community / Forum
Framework
Link to User Documentation -
Link to Developer/Code Documentation -
Documentation quality expandable
Source of funding -
Number of developers -
Number of users -
Openness
Open Source
License GNU Affero General Public License v3.0
Source code available
GitHub
Access to source code https://github.com/energyRt/energyRt
Data provided all data
Collaborative programming
GitHub Organisation
GitHub Contributions Graph
Software
Modelling software R
Internal data processing software
External optimizer
Additional software
GUI
Coverage
Modeled energy sectors (final energy) -
Modeled demand sectors -
Modeled technologies: components for power generation or conversion
Renewables -
Conventional -
Modeled technologies: components for transfer, infrastructure or grid
Electricity -
Gas -
Heat -
Properties electrical grid -
Modeled technologies: components for storage -
User behaviour and demand side management
Changes in efficiency
Market models -
Geographical coverage
Geographic (spatial) resolution -
Time resolution -
Comment on geographic (spatial) resolution
Observation period -
Additional dimensions (sector) -
Mathematical Properties
Model class (optimisation) -
Model class (simulation) -
Other
Short description of mathematical model class
Mathematical objective -
Approach to uncertainty -
Suited for many scenarios / monte-carlo
typical computation time -
Typical computation hardware -
Technical data anchored in the model -
Model Integration
Interfaces
Model file format .exe
Input data file format .csv
Output data file format .csv
Integration with other models
Integration of other models
References
Citation reference -
Citation DOI -
Reference Studies/Models -
Example research questions -
Model usage -
Model validation -
Example research questions -
further properties
Model specific properties -

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