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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