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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 |
Latest revision as of 14:15, 8 May 2024
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computational core for the simulation of energy systems
by siz energieplus
Authors:
Etienne Ott, Heiner Steinacker, Matthias Stickel
Contact:
Etienne Ott, Heiner Steinacker, Matthias Stickel
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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/
Note: ReSiE is currently under development!
Based on Julia. Using Julia for data processing.
Website / Documentation
Download
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 Open Source
MIT license (MIT)
Directly downloadable
Input data shipped
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| Model Scope |
Model type and solution approach |
| Model class
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multi energy systems in urban scale
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| Sectors
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all sectors incl. heat, cold, hydrogen, electricity
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| Technologies
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Renewables, Conventional Generation, CHP
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| Decisions
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dispatch, investment
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| Regions
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depends on user
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| Geographic Resolution
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depends on user
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| Time resolution
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15 Minute
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| Network coverage
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transmission, distribution
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| Model type
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Simulation, Other
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rule-based algorithms, system dynamics
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| Variables
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| Computation time
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minutes (several minutes on business laptop, depending on model complexity and time-step)
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| Objective
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energy balances
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| Uncertainty modeling
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sensitivity analysis
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| Suited for many scenarios / monte-carlo
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Yes
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References
Scientific 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
https://dx.doi.org/10.1088/1742-6596/2600/2/022009
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