Name REMix (Renewable Energy Mix)
Acronym REMix
Methodical Focus None
Institution(s) DLR - German Aerospace Center
Author(s) (institution, working field, active time period) Yvonne Scholz; Hans Christian Gils; Karl-Kiên Cao; Frieder Borggrefe; Manuel Wetzel; Denis Hess; Kai von Krbek (all DLR); Tobias Fichter; Felix Cebulla; Diego Luce de Tena; Dominik Heide (ex-DLR)
Current contact person Thomas Pregger, Hans Christian Gils
Contact (e-mail) thomas.pregger@dlr.de
Website http://www.dlr.de/tt/en/desktopdefault.aspx/tabid-2904/4394_read-6500/
Logo
Primary Purpose development and analysis of power supply scenarios
Primary Outputs least cost configuration and operation of the considered system, least cost paths for future energy system development, systems costs, CO2 emissions, indicators for security of power supply, renewable energy potentials
Support / Community / Forum
Framework
Link to User Documentation http://dx.doi.org/10.1016/j.energy.2017.01.115
Link to Developer/Code Documentation -
Documentation quality good
Source of funding German Federal Ministry of Economc Affairs and Energy
Number of developers less than 10
Number of users less than 100
Open Source
Planned to open up in the future
Costs -
Modelling software GAMS
Internal data processing software JavaScript; Excel; Python
External optimizer
Additional software
GUI
Citation reference see below
Citation DOI http://dx.doi.org/10.1016/j.energy.2017.01.115 , http://dx.doi.org/10.1016/j.eneco.2016.06.021 , http://dx.doi.org/10.1016/j.apenergy.2016.12.023 , http://dx.doi.org/10.1016/j.renene.2016.12.043 , http://dx.doi.org/10.1088/1748-9326/11/1/014012 , http://dx.doi.org/10.1016/j.apenergy.2015.10.083, http://dx.doi.org/10.3390/en10111859 , http://dx.doi.org/10.18419/opus-2015 , http://dx.doi.org/10.18419/opus-6855 , http://dx.doi.org/10.18419/opus-2339, http://dx.doi.org/10.18419/opus-6888 , http://dx.doi.org/10.18419/opus-9373 , https://doi.org/10.1016/j.ijhydene.2017.02.102 , https://doi.org/10.1016/j.est.2017.10.004 , https://doi.org/10.1016/j.renene.2017.10.041 , https://doi.org/10.1016/j.energy.2017.01.012
Reference Studies/Models http://elib.dlr.de/107961/ , http://elib.dlr.de/93240/ , http://elib.dlr.de/103733/ , http://elib.dlr.de/103522/ , http://elib.dlr.de/99778/ , http://elib.dlr.de/95863/ , http://elib.dlr.de/94979/ , http://elib.dlr.de/77130/ , http://elib.dlr.de/76043/ , http://fp7-advance.eu/sites/default/files/documents/WP7/ADVANCE-Synthesis-Report.pdf,
Example research questions How do overall power generation costs develop at high variable renewable energy (VRE) shares and at different proportions of wind and solar power? How does VRE power generation interact with transmission, storage, sector coupling and backup power generation? Which infrastructural developments and investments are required to maintain security of supply? Which technologies can provide backup at the lowest cost? To what extent are curtailments expected as an ultimate balancing measure after transmission and storage?
Model usage -
Model validation cross-checked with other models, checked with measurements (measured data)
Example research questions How do overall power generation costs develop at high variable renewable energy (VRE) shares and at different proportions of wind and solar power? How does VRE power generation interact with transmission, storage, sector coupling and backup power generation? Which infrastructural developments and investments are required to maintain security of supply? Which technologies can provide backup at the lowest cost? To what extent are curtailments expected as an ultimate balancing measure after transmission and storage?
further properties
Model specific properties -
Modeled energy sectors (final energy) electricity, heat
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 transmission
Gas transmission
Heat distribution
Properties electrical grid DC load flow
Modeled technologies: components for storage battery, kinetic, compressed air, pump hydro, chemical, heat, gas
User behaviour and demand side management Consideration of demand response in industry, household and tertiary sector, see http://dx.doi.org/10.1016/j.apenergy.2015.10.083
Changes in efficiency Considered only in input data
Market models fundamental model
Geographical coverage Global
Geographic (spatial) resolution national states, TSO regions, federal states, regions
Time resolution hour
Comment on geographic (spatial) resolution Global renewable energy database. Past model applications mostly to Germany and Europe, but also Brazil, USA, China and others
Observation period 1 year, >1 year
Additional dimensions (sector) -
Model class (optimisation) LP, MILP
Model class (simulation) -
Other
Short description of mathematical model class
Mathematical objective costs
Approach to uncertainty Deterministic, Stochastic
Suited for many scenarios / monte-carlo
typical computation time less than a day
Typical computation hardware -
Technical data anchored in the model no
Interfaces
Model file format .gms
Input data file format .dat, .csv
Output data file format .gdx, .xls
Integration with other models REMix-EnDAT (global wind and solar power generation potential database)
Integration of other models

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!


Actions

Edit

Tags

Renewable Water Germany Europe Electricity Heat Gas Transport Solar Wind MODEX Storage DSM CSP eGon