Framework Factsheet

Overview

Last updated	-
Open Source
License	MIT

General Information

Framework Name	Open Energy Modelling Framework (oemof-solph)
Acronym	oemof.solph
Contact (e-mail)	contact@oemof.org
Current contact person	Caroline Möller, Patrik Schönfeldt
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 0.5.1
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);...)

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MODEX open_MODEX RLI oemof DLR Helmholtz