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| |contact_persons=Frauke Wiese | | |contact_persons=Frauke Wiese |
| |contact_email=frauke.wiese@uni-flensburg.de | | |contact_email=frauke.wiese@uni-flensburg.de |
− | |website=http://renpass.eu | + | |website=https://github.com/fraukewiese/renpass |
− | |source_download=http://renpass.eu | + | |source_download=https://github.com/fraukewiese/renpass |
| |text_description=renpass is an open source simulation energy model which has the goal to fulfil the requirements of full transparency and the possibility to image 100% renewable energy systems as well as today's system on a high regional and time resolution. | | |text_description=renpass is an open source simulation energy model which has the goal to fulfil the requirements of full transparency and the possibility to image 100% renewable energy systems as well as today's system on a high regional and time resolution. |
| | | |
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| |modelling_software=R | | |modelling_software=R |
| |processing_software=MySQL / R / RMySQL | | |processing_software=MySQL / R / RMySQL |
| + | |GUI=No |
| |model_class=Electricity System Model / Regional Dispatch Model / Transshipment Model | | |model_class=Electricity System Model / Regional Dispatch Model / Transshipment Model |
| |sectors=Electricity | | |sectors=Electricity |
| |technologies=Renewables, Conventional Generation | | |technologies=Renewables, Conventional Generation |
| + | |Storage (Gas)=No |
| + | |Storage (Heat)=No |
| |decisions=dispatch | | |decisions=dispatch |
| |georegions=Poland, Lithuania, Latvia, Estonia, Finland, Sweden, Denmark, Norway, the Netherlands, Belgium, Luxembourg, France, Switzerland, Austria, the Czech Republic, Germany | | |georegions=Poland, Lithuania, Latvia, Estonia, Finland, Sweden, Denmark, Norway, the Netherlands, Belgium, Luxembourg, France, Switzerland, Austria, the Czech Republic, Germany |
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| |is_suited_for_many_scenarios=Yes | | |is_suited_for_many_scenarios=Yes |
| |number_of_variables=200 | | |number_of_variables=200 |
| + | |montecarlo=No |
| |computation_time_minutes=240 | | |computation_time_minutes=240 |
| |computation_time_comments=varying, 240 minutes is roughly for an hourly computation for one year | | |computation_time_comments=varying, 240 minutes is roughly for an hourly computation for one year |
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| CSES (2012). Modeling sustainable electricity systems for the Baltic Sea Region. Discussion Paper 3, Centre for Sustainable Energy Systems. | | CSES (2012). Modeling sustainable electricity systems for the Baltic Sea Region. Discussion Paper 3, Centre for Sustainable Energy Systems. |
| + | |Model input file format=No |
| + | |Model file format=No |
| + | |Model output file format=No |
| }} | | }} |
| {{lowercase}} | | {{lowercase}} |
Latest revision as of 17:44, 13 March 2017
Renewable Energy Pathways Simulation System
by ZNES Flensburg
Authors: Frauke Wiese, Gesine Bökenkamp
Contact: Frauke Wiese
|
renpass is an open source simulation energy model which has the goal to fulfil the requirements of full transparency and the possibility to image 100% renewable energy systems as well as today's system on a high regional and time resolution.
Currently renpass is being developed further as renpassG!S based on the Open Energy Modelling Framework (oemof).
Based on R. Using MySQL / R / RMySQL for data processing.
Website / Documentation
Download
|
Open Source GNU General Public License version 3.0 (GPL-3.0)
Directly downloadable
Input data shipped
|
Model Scope |
Model type and solution approach |
Model class
|
Electricity System Model / Regional Dispatch Model / Transshipment Model
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Sectors
|
Electricity
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Technologies
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Renewables, Conventional Generation
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Decisions
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dispatch
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Regions
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Poland, Lithuania, Latvia, Estonia, Finland, Sweden, Denmark, Norway, the Netherlands, Belgium, Luxembourg, France, Switzerland, Austria, the Czech Republic, Germany
|
Geographic Resolution
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Germany: 21 regions / other countries: country
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Time resolution
|
Hour
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Network coverage
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net transfer capacities
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|
Model type
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Optimization, Simulation
|
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Minimization of costs for each time step (optimization) within the limits of a given infrastructure (simulation)
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Variables
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200
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Computation time
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240 minutes (varying, 240 minutes is roughly for an hourly computation for one year)
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Objective
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economic costs
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Uncertainty modeling
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perfect foresight
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Suited for many scenarios / monte-carlo
|
Yes
|
|
References
Scientific references
Wiese, F. (2015). renpass - Renewable Energy Pathways Simulation System - Open Source as an approach to meet challenges in energy modeling. Dissertation. Europa-Universität Flensburg.
https://dx.doi.org/10.1002/wene.109
Reports produced using the model
Bökenkamp, G. (2015). The role of Norwegian hydro storage in future renewable electricity supply systems in Germany: Analysis with a simulation model. PhD thesis, University of Flensburg.
Bons, M. (2014). Verstärkte Nutzung Windenergie in Süddeutschland und resultierender Übertragungsbedarf. Master’s thesis, Universität Flensburg.
Hilpert, S. (2013). Simulation von Kraft-Wärme-Kopplungsanlagen im deutschen Energiesystem bis 2030. Masterarbeit, FH Flensburg.
Wingenbach, C., Bunke, W. D., and Hohmeyer, O. (2013). Szenarien für die Entwicklung der stündlichen Preise am deutschen Strommarkt für die Jahre 2015 bis 2041. Technical Report. Center for Sustainable Energy Systems (CSES), Flensburg.
CSES (2014). Modelling Sustainable Electricity Systems for Germany and Neighbours in 2050. Study Group Report by Eva Wiechers, Hendrik Böhm, Wolf Dieter Bunke, Cord Kaldemeyer, Tim Kummerfeld, Martin Söthe, Henning Thiesen. Study group report, Universität Flensburg.
IZT (2014). VerNetzen - Sozial-ökologische, technische und ökonomische Modellierung von Entwicklungspfaden der Energiewende. Institut für Zukunftstechnologien, Universität Flensburg, Deutsche Umwelthilfe. http://www.fona.de/soef/VerNetzen
CSES (2012). Modeling sustainable electricity systems for the Baltic Sea Region. Discussion Paper 3, Centre for Sustainable Energy Systems.
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