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| | |authors=Etienne Ott, Heiner Steinacker, Matthias Stickel | | |authors=Etienne Ott, Heiner Steinacker, Matthias Stickel |
| | |contact_persons=Etienne Ott, Heiner Steinacker, Matthias Stickel | | |contact_persons=Etienne Ott, Heiner Steinacker, Matthias Stickel |
| − | |contact_email=info@siz-energieplus.de | + | |contact_email=info@quasi-software.org |
| | |website=http://www.quasi-software.org/ | | |website=http://www.quasi-software.org/ |
| | |source_download=https://github.com/QuaSi-Software | | |source_download=https://github.com/QuaSi-Software |
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| | |text_description=ReSiE is a software tool that simulates energy supply concepts for buildings, focusing on renewable energy, sector coupling and individual operating strategies. It is part of the QuaSi project that includes additional tools and can be used for individual buildings up to district-level or cities. Unlike many other tools based on systems of equations, ReSiE uses rule-based algorithms, system dynamics and an agent-based approach. This approach enables detailed simulations without linearization, capturing energy flow and system state in each time step. The central mathematical model is based on energy balances and the order of the energy calculations that is determined during preprocessing. In addition, ReSiE is suitable to perform black-box optimizations for optimal component sizing. The model can be easily extended by any energy carriers and additional components or storages of variable complexity. More information is available in the documentation: https://quasi-software.readthedocs.io/en/latest/ | | |text_description=ReSiE is a software tool that simulates energy supply concepts for buildings, focusing on renewable energy, sector coupling and individual operating strategies. It is part of the QuaSi project that includes additional tools and can be used for individual buildings up to district-level or cities. Unlike many other tools based on systems of equations, ReSiE uses rule-based algorithms, system dynamics and an agent-based approach. This approach enables detailed simulations without linearization, capturing energy flow and system state in each time step. The central mathematical model is based on energy balances and the order of the energy calculations that is determined during preprocessing. In addition, ReSiE is suitable to perform black-box optimizations for optimal component sizing. The model can be easily extended by any energy carriers and additional components or storages of variable complexity. More information is available in the documentation: https://quasi-software.readthedocs.io/en/latest/ |
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| − | Note: ReSiE is currently under development!
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| − | |Primary purpose=modellig of multi energy systems
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| | |Primary outputs=sizing, LCC, LCA, Energy flows | | |Primary outputs=sizing, LCC, LCA, Energy flows |
| | |Framework=QuaSi | | |Framework=QuaSi |
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| | |modelling_software=Julia | | |modelling_software=Julia |
| | |processing_software=Julia | | |processing_software=Julia |
| − | |Primary purpose=modellig of multi energy systems
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| | |GUI=No | | |GUI=No |
| | |model_class=multi energy systems in urban scale | | |model_class=multi energy systems in urban scale |
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| | |montecarlo=No | | |montecarlo=No |
| | |computation_time_comments=several minutes on business laptop, depending on model complexity and time-step | | |computation_time_comments=several minutes on business laptop, depending on model complexity and time-step |
| − | |citation_references=tba | + | |citation_references=Ott, E.; Steinacker, H.; Stickel, M.; Kley, C. and Fisch, M.N.: Dynamic open-source simulation engine for generic modeling of district-scale energy systems with focus on sector coupling and complex operational strategies, 2023, Journal of Physics: Conference Series, 2600 022009 |
| − | |citation_doi=tba | + | |citation_doi=10.1088/1742-6596/2600/2/022009 |
| | |Model validation=extended test framwork included, validation against other tools and measurement data is in planning | | |Model validation=extended test framwork included, validation against other tools and measurement data is in planning |
| | |Model input file format=No | | |Model input file format=No |
Ott, E.; Steinacker, H.; Stickel, M.; Kley, C. and Fisch, M.N.: Dynamic open-source simulation engine for generic modeling of district-scale energy systems with focus on sector coupling and complex operational strategies, 2023, Journal of Physics: Conference Series, 2600 022009
https://dx.doi.org/10.1088/1742-6596/2600/2/022009
