Model Factsheet

Overview / renpassG!S - A Free and Open Python Tool for Simulating Energy Supply Systems (oemof-renpassG!S)
Name renpassG!S - A Free and Open Python Tool for Simulating Energy Supply Systems
Acronym oemof-renpassG!S
Methodical Focus Optimization
Institution(s) Center for Sustainable Energy Systems (ZNES)
Author(s) (institution, working field, active time period) Cord Kaldemeyer (ZNES), Martin Söthe(ZNES), Simon Hilpert (ZNES), Clemens Wingenbach (ZNES), Wolf-Dieter Bunke (ZNES)
Current contact person Cord Kaldemeyer
Contact (e-mail) cord.kaldemeyer@hs-flensburg.de
Website https://github.com/znes/renpass_gis
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Primary Purpose The application renpassG!S stands for (r)enewable (en)ergy (pa)thway (s)imulation (s)ystem capable of working with data from geographic information systems (GIS). It is based on the original idea of renpass and closely linked to the Open Energy Modelling Framework (oemof). renpassG!S is an easy-to-use application designed to model the cost-minimal dispatch of energy supply systems. Technically speaking, it is a so-called numerical partial equilibrium model of a liberalised electricity market often referred to as fundamental model. Making use of the broad functionality of oemof, the application enables the user to calculate easy-to-understand energy system scenarios for different regions in spreadsheet format (CSV), optimizing the power plant dispatch at minimum costs.
Primary Outputs Please take a look in the readme.md of renpassG!S on Github https://github.com/znes/renpass_gis. You will find an overview, examples, exemplary results as well as an installation and usage description.
Support / Community / Forum
Framework oemof
Link to User Documentation https://osf.io/kp4mh
Link to Developer/Code Documentation https://github.com/znes/renpass_gis
Documentation quality good
Source of funding Institutional - Public Funding
Number of developers less than 10
Number of users less than 100
Open Source
License GNU General Public License v3.0
Source code available
GitHub
Access to source code https://github.com/znes/renpass
Data provided none
Collaborative programming
GitHub Organisation
Modelling software Python 3.4
Internal data processing software
External optimizer
Additional software
GUI
Modeled energy sectors (final energy) electricity
Modeled demand sectors Households, Industry, Commercial sector, Transport
Modeled technologies: components for power generation or conversion
Renewables PV, Wind, Hydro, Solar thermal
Conventional gas, oil, liquid fuels, nuclear
Modeled technologies: components for transfer, infrastructure or grid
Electricity distribution, transmission
Gas -
Heat -
Properties electrical grid -
Modeled technologies: components for storage battery, kinetic, compressed air, pump hydro, chemical
User behaviour and demand side management
Changes in efficiency
Market models fundamental model
Geographical coverage Depending on Scenario
Geographic (spatial) resolution global, continents, national states, TSO regions, federal states, regions, NUTS 3
Time resolution hour
Comment on geographic (spatial) resolution The Geographic spatial resolution is depending on the scenario. The renpassG!S example is calculating Germany an its electrical neighbouring countries.
Observation period 1 year
Additional dimensions (sector) economic
Model class (optimisation) LP
Model class (simulation) -
Other
Short description of mathematical model class
Mathematical objective CO2, costs
Approach to uncertainty Deterministic
Suited for many scenarios / monte-carlo
typical computation time less than an hour
Typical computation hardware Laptop or Server
Technical data anchored in the model -
Interfaces oemof and pandas objects, in- and output are CSV files that can be edited within any spreadsheet software e.g. LibreOffice Calc or Excel
Model file format .py
Input data file format .csv
Output data file format .csv
Integration with other models
Integration of other models ego; eTraGo
Citation reference https://osf.io/kp4mh/
Citation DOI 10.17605/OSF.IO/KP4MH
Reference Studies/Models https://github.com/znes/renpass_gis#publication
Example research questions https://github.com/znes/renpass_gis
Model usage -
Model validation -
Example research questions https://github.com/znes/renpass_gis
further properties
Model specific properties -

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