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| | |authors=Heiner Steinacker, Jonas Mucke, Etienne Ott, Matthias Stickel | | |authors=Heiner Steinacker, Jonas Mucke, Etienne Ott, Matthias Stickel |
| | |contact_persons=Heiner Steinacker | | |contact_persons=Heiner Steinacker |
| − | |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/SoDeLe/releases | | |source_download=https://github.com/QuaSi-Software/SoDeLe/releases |
Latest revision as of 14:15, 8 May 2024
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Solar simulation as easy as can be
by siz energieplus
Authors:
Heiner Steinacker, Jonas Mucke, Etienne Ott, Matthias Stickel
Contact:
Heiner Steinacker
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SoDeLe (loosely translated as "Solar simulation as easy as can be") is an easy-to-use tool for calculating energy profiles of photovoltaic systems. It is based on the well-validated python-pvlib, but offers a user-friendly GUI based on Excel (also a CLI with JSON input). SoDeLe can simulate PV systems with parameters from real PV modules and inverters with different orientations. Alternatively, preset standard modules and a constant DC-AC efficiency can be selected. The database of parameters contains more than 35,000 PV modules from various manufacturers.
The simulation is based on a weather file, which can be either an EWP file (EnergyPlus Weather File) or a .dat file from the German Weather Service (DWD).
With SoDeLe, the energy yield of planned or existing photovoltaic systems can be determined quickly and easily in high temporal resolution without much expert knowledge. The results can be used for dynamic energy system simulations, storage sizing or dynamic cost and greenhouse gas calculations. In addition, different orientations and different PV modules and inverters can be analyzed or the energy yield of existing systems can be checked if real historical weather data is used as input.
The results of SoDeLe were verified for different module-inverter configurations, orientations and locations using comparative simulations with the commercial software PV*SOL and with the annual totals calculated by PVGIS.
Based on Python. Using Python, MS Excel 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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PV energy production
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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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| Regions
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All
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| Geographic Resolution
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| Time resolution
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Hour
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| Network coverage
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| Model type
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Simulation
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physics-based with efficiency curves from CEC
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| Variables
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15
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| Computation time
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1 minutes
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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
Heiner Steinacker, Jonas Mucke: SoDeLe v2.0.0: Solarsimulation denkbar leicht. 2024
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