Renpass

Revision as of 19:18, 24 November 2014

Renewable Energy Pathways Simulation System

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.

Based on R. Using MySQL / R / RMySQL for data processing.

[renpass.eu Website / Documentation]
[renpass.eu 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
Sectors	Electricity
Technologies	Renewables, Conventional Generation
Decisions	dispatch
Regions	Poland, Lithuania, Latvia, Estonia, Finland, Sweden, Denmark, Norway, the Netherlands, Belgium, Luxembourg, France, Switzerland, Austria, the Czech Republic, Germany
Geographic Resolution	Germany: 21 regions / other countries: country
Time resolution	Hour
Network coverage	net transfer capacities

Model type	Optimization, Simulation
	Minimization of costs for each time step (optimization) within the limits of a given infrastructure (simulation)
Variables	200
Computation time	minutes
Objective	economic costs
Uncertainty modeling	foresight
Suited for many scenarios / monte-carlo	Yes

References

Scientific references

Wiese, Frauke (2014, forthcoming). renpass Renewable Energy Pathways Simulation System - Open Source as an approach to meet challenges in energy modeling. PhD thesis. University of Flensburg.

Reports produced using the model

Bökenkamp, G. (2014, forthcoming). 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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@@ Line 19: / Line 19: @@
 |technologies=Renewables, Conventional Generation
 |decisions=dispatch
 |georegions=Poland, Lithuania, Latvia, Estonia, Finland, Sweden, Denmark, Norway, the Netherlands, Belgium, Luxembourg, France, Switzerland, Austria, the Czech Republic, Germany
 |georesolution=Germany: 21 regions / other countries: country
 |timeresolution=Hour
@@ Line 27: / Line 27: @@
 |math_objective=economic costs
 |deterministic=foresight
-|is_suited_for_many_scenarios=No
+|is_suited_for_many_scenarios=Yes
 |number_of_variables=200
 |citation_references=Wiese, Frauke (2014, forthcoming). renpass Renewable Energy Pathways Simulation System - Open Source as an approach to meet challenges in energy modeling. PhD thesis. University of Flensburg.
 |report_references=Bökenkamp, G. (2014, forthcoming). 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.
 }}

Author institution	ZNES Flensburg +
Authors	Frauke Wiese, Gesine Bökenkamp +
Citation references	Wiese, Frauke (2014, forthcoming). renpass Renewable Energy Pathways Simulation System - Open Source as an approach to meet challenges in energy modeling. PhD thesis. University of Flensburg.
Contact email	frauke.wiese@uni-flensburg.de +
Contact persons	frauke wiese +
Data availability	all +
Decisions	dispatch +
Deterministic	foresight +
Full Model Name	Renewable Energy Pathways Simulation System +
Georegions	Poland, Lithuania, Latvia, Estonia, Finland, Sweden, Denmark, Norway, the Netherlands, Belgium, Luxembourg, France, Switzerland, Austria, the Czech Republic, Germany +
Georesolution	Germany: 21 regions / other countries: country +
Is suited for many scenarios	true +
License	GNU General Public License version 3.0 (GPL-3.0) +
Math modeltype	Optimization + and Simulation +
Math modeltype shortdesc	Minimization of costs for each time step (optimization) within the limits of a given infrastructure (simulation) +
Math objective	economic costs +
Model class	Electricity System Model / Regional Dispatch Model / Transshipment Model +
Model source public	true +
Modelling software	R +
Network coverage	net transfer capacities +
Number of variables	200 +
Open future	false +
Open source licensed	true +
Processing software	MySQL / R / RMySQL +
Report references	Bökenkamp, G. (2014, forthcoming). The rol … Bökenkamp, G. (2014, forthcoming). 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. 3, Centre for Sustainable Energy Systems.
Sectors	Electricity +
Source download	http://renpass.eu +
Technologies	Renewables + and Conventional Generation +
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.
Timeresolution	Hour +
Website	http://renpass.eu +

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Revision as of 19:18, 24 November 2014

References

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Reports produced using the model

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About

Help

Search

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Search

Interaction

Toolbox

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Variants

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Actions

Renpass

Revision as of 19:18, 24 November 2014

References

Scientific references

Reports produced using the model