Framework Factsheet: Open Energy Modelling Framework (oemof-solph) (oemof)

Overview
Last updated -
Open Source
License MIT
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General Information
Framework Name Open Energy Modelling Framework (oemof-solph)
Acronym oemof
Contact (e-mail) Caroline.Moeller@rl-institut.de
Current contact person Caroline Möller
Website https://oemof.org
Institution(s) Reiner Lemoine Institut (RLI), HSFL, DLR, EUF, OvGU
Geographical Scope Global, Regional, National, Local/community
Sectoral Scope Electricity, Heat/Cooling
General Problem Scope Forecasting, Exploring, Back casting
Specific Problem Scope Energy demand, Energy supply, Integrated approach, Modular build-up, Energy dispatch, Capacity expansion planning, Unit commitment, Sector-coupling
Inital purpose Have a flexible, general purpose open source toolbox that supports working in different scientific energy system modelling projects.
Inital purpose change -
Research questions
Inital Release Date 2016-01-01
Parent Framework -
Version Version 0.4.1
Source of funding volunteers / public
Mathematical Description
GUI
Programming Framework Python, Pyomo
External Solver CPLEX, Gurobi, Coin-Or CBC, GLPK, Pyomo supported solvers
Input Data Format Python dicts, XLSX, CSV, db, OEP
Auto model generator
data preprocessing
Output Data Format Python dicts, CSV, txt, db, OEP
data postprocessing collecting, grouping, easy access
plotting functionalities
The analytical approach Top Down, Bottom up, Hybrid
Additional software
interfaces -
The mathematical approach Mixed integer programming, Linear Programming
The underlying methodology Optimization, Spatial (GIS), Spreadsheet/Toolbox, Back casting
Objective function type Minimize Total System Cost
Openness
Open Source
License MIT
Code availability https://github.com/oemof/oemof-solph
Data availability -
Data provided example data
Open to developers
Support Forum, Community, Workshop, Model Examples
Link to User Documentation {https://oemof-solph.readthedocs.io/en/latest/usage.html}
Installation guide
Link to installation guide -
Link to code documentation https://oemof-solph.readthedocs.io/en/latest/
Skills basic Python Programming, Energy Systems Modelling, Command Line Interface
Skills advanced -
Model Building
Fixed units
Renewable Technology Inclusion Hydro, Solar, Geothermal, Wind, Biomass
Storage Technology Inclusion Pumped-hydro energy storage, Battery energy storage, Compressed-air energy storage
Transport Demand Battery-electric vehicles, Vehicle-to-grid electric vehicles
Residential Demand Heating
Commercial Demand -
Agricultural demand
Grid model Single-node model, Transhipment model, Linear optimal power flow
Cost Inclusion Fuel prices, Investment, Variable Operation & Maintenance, CO2 cost
New components
Variable time step
Variable rolling
Commonly used time step Hourly
Commonly modelled time horizon Short term (<= 5 years), long term (>=15)
References
Reference Studies/Models https://oemof.org/publications/
Citation reference https://doi.org/10.1016/j.esr.2018.07.001
Citation -
Projects using the framework open_FRED, oemof_heat, QUARRE100, EnaQ, GRECO, FlexMex, ANGUS II
Model usage The framework is currently developed and applied by the author institutions as well as additional institutions like (EURAC (developing an italian model); Beuth Hochschule (heating system models); Bremen University (Master theses);...)

If you find bugs or if you have ideas to improve the Open Energy Platform, you are welcome to add your comments to the existing issues on GitHub.
You can also fork the project and get involved.

Please note that the platform is still under construction and therefore the design of this page is still highly volatile!

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