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| | |computation_time_comments=20 years with 5 minute time step resolution | | |computation_time_comments=20 years with 5 minute time step resolution |
| | |citation_references=Naumann, Maik; Truong, Cong Nam (2017): SimSES - Software for techno-economic simulation of stationary energy storage systems. | | |citation_references=Naumann, Maik; Truong, Cong Nam (2017): SimSES - Software for techno-economic simulation of stationary energy storage systems. |
| − | |citation_doi=http://doi.org/10.14459/2017mp1401541 | + | |citation_doi=10.14459/2017mp1401541 |
| | |report_references=Naumann, M; Truong, C.N.; Schimpe, M.; Kucevic, D.; Jossen, A.; Hesse, H.C. (2017): SimSES: Software for techno-economic Simulation of Stationary Energy Storage Systems. In: VDE-ETG-Kongress 2017. Bonn. Preprint accepted for publication in IEEE Conference Proceedings. http://ieeexplore.ieee.org/document/8278770/ | | |report_references=Naumann, M; Truong, C.N.; Schimpe, M.; Kucevic, D.; Jossen, A.; Hesse, H.C. (2017): SimSES: Software for techno-economic Simulation of Stationary Energy Storage Systems. In: VDE-ETG-Kongress 2017. Bonn. Preprint accepted for publication in IEEE Conference Proceedings. http://ieeexplore.ieee.org/document/8278770/ |
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Revision as of 07:35, 2 February 2018
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Simulation of stationary energy storage systems
by Technical University of Munich
Authors:
Maik Naumann, Nam Truong
Contact:
Maik Naumann, Nam Truong
|
SimSES (Simulation of stationary energy storage systems) is an open source modeling framework for simulating stationary energy storage systems. The tool has been developed in MATLAB, mainly by Maik Naumann and Nam Truong at the Institute for Electrical Energy Storage Technology.
Based on Matlab. Using Matlab for data processing.
[www.simses.org Website / Documentation]
Download
|
 Open Source
BSD 3-Clause "New" or "Revised" License (BSD-3-Clause)
Directly downloadable
Input data shipped
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| Model Scope |
Model type and solution approach |
| Model class
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Electrical energy storage system
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| Sectors
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Electricity
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| Technologies
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Renewables
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| Decisions
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dispatch
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| Regions
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World
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| Geographic Resolution
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| Time resolution
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Minute
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| Network coverage
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| Model type
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Simulation
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|
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Power flow and state of charge calculation based on time series profiles
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| Variables
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>50
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| Computation time
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27 minutes (20 years with 5 minute time step resolution)
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| Objective
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| Uncertainty modeling
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| Suited for many scenarios / monte-carlo
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Yes
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References
Scientific references
Naumann, Maik; Truong, Cong Nam (2017): SimSES - Software for techno-economic simulation of stationary energy storage systems.
https://dx.doi.org/10.14459/2017mp1401541
Reports produced using the model
Naumann, M; Truong, C.N.; Schimpe, M.; Kucevic, D.; Jossen, A.; Hesse, H.C. (2017): SimSES: Software for techno-economic Simulation of Stationary Energy Storage Systems. In: VDE-ETG-Kongress 2017. Bonn. Preprint accepted for publication in IEEE Conference Proceedings. http://ieeexplore.ieee.org/document/8278770/
Naumann, M.; Karl, R.Ch.; Truong, C.N.; Jossen, A.; Hesse, H.C. (2015): Lithium-ion Battery Cost Analysis in PV-household Application. In: Energy Procedia 73, S. 37–47. DOI: 10.1016/j.egypro.2015.07.555
Truong, C.; Naumann, M.; Karl, R.; Müller, M.; Jossen, A.; Hesse, H. (2016): Economics of Residential Photovoltaic Battery Systems in Germany. The Case of Tesla’s Powerwall. In: Batteries 2 (2), S. 14–30. DOI: 10.3390/batteries2020014
Example research questions
Optimal system sizing and operation due to battery aging or economic results
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