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| | |Acronym=SimSES | | |Acronym=SimSES |
| | |author_institution=Technical University of Munich | | |author_institution=Technical University of Munich |
| − | |authors=Maik Naumann, Nam Truong | + | |authors=Marc Möller, Daniel Kucevic, Nils Collath, Anupam Parlikar, Petra Dotzauer, Benedikt Tepe, Stefan Englberger, Martin Cornejo, Andreas Jossen, Holger Hesse, Maik Naumann, Nam Truong |
| − | |contact_persons=Maik Naumann, Nam Truong | + | |contact_persons=Martin Cornejo |
| − | |contact_email=simses.ees@ei.tum.de | + | |contact_email=simses.ees@ed.tum.de |
| − | |website=www.simses.org | + | |website=https://www.ei.tum.de/ees/simses/ |
| − | |source_download=https://bitbucket.org/Team_SES/opensimses | + | |source_download=https://gitlab.lrz.de/open-ees-ses/simses |
| − | |text_description=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. | + | |text_description=SimSES provides a library of state-the-art energy storage models by combining modularity of multiple topologies as well as the periphery of an ESS. This paper summarizes the structure as well as the capabilites of SimSES. Storage technology models based on current research for lithium-ion batteries, redox flow batteries, as well as hydrogen storage-based electrolysis and fuel cell are presented in detail. In addition, thermal models and their corresponding HVAC systems, housing, and ambient models are depicted. Power electronics are represented with AC/DC and DC/DC converters mapping the main losses of power electronics within a storage system. Additionally, auxiliary components like pumps, compressors, and HVAC are considered. Standard use cases like peak shaving, residential storage, and control reserve power provisions through dispatch of storage are discussed in this work, with the possibility to stack these applications in a multi-use scenario. The analysis is provided by technical and economic evaluations illustrated by KPIs. |
| − | |User documentation=https://bitbucket.org/Team_SES/opensimses | + | |User documentation=https://gitlab.lrz.de/open-ees-ses/simses |
| − | |Code documentation=https://bitbucket.org/Team_SES/opensimses | + | |Code documentation=https://gitlab.lrz.de/open-ees-ses/simses |
| − | |Number of developers=2 | + | |Number of developers=6 |
| | |open_source_licensed=Yes | | |open_source_licensed=Yes |
| | |license=BSD 3-Clause "New" or "Revised" License (BSD-3-Clause) | | |license=BSD 3-Clause "New" or "Revised" License (BSD-3-Clause) |
| | |model_source_public=Yes | | |model_source_public=Yes |
| − | |Link to source=https://bitbucket.org/Team_SES/opensimses | + | |Link to source=https://gitlab.lrz.de/open-ees-ses/simses |
| | |data_availability=all | | |data_availability=all |
| | |open_future=No | | |open_future=No |
| − | |modelling_software=Matlab | + | |modelling_software=Python |
| − | |processing_software=Matlab | + | |processing_software=Python |
| − | |Additional software=Matlab
| + | |
| | |GUI=No | | |GUI=No |
| | |model_class=Electrical energy storage system | | |model_class=Electrical energy storage system |
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| | |Demand sectors=Households, Industry, Commercial sector, Other | | |Demand sectors=Households, Industry, Commercial sector, Other |
| | |Energy carriers (Renewable)=Sun, Wind | | |Energy carriers (Renewable)=Sun, Wind |
| − | |Storage (Electricity)=Battery | + | |Storage (Electricity)=Battery, Chemical |
| | |Storage (Gas)=No | | |Storage (Gas)=No |
| | |Storage (Heat)=No | | |Storage (Heat)=No |
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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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Naumann, Maik; Truong, Cong Nam (2017): SimSES - Software for techno-economic simulation of stationary energy storage systems.
https://dx.doi.org/10.14459/2017mp1401541
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
