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| | |source_download=https://github.com/oemof/oemof/releases | | |source_download=https://github.com/oemof/oemof/releases |
| | |logo=8503379.png | | |logo=8503379.png |
| − | |text_description=Oemof is a framework for energy system model development and its application in energy system analysis. Currently, it bases on collaborative work of three institutions. You can clone/fork the code at github. | + | |text_description=oemof is a framework for energy system model development and its application in energy system analysis. Currently, it bases on collaborative work of three institutions. You can clone/fork the code at github. |
| | | | |
| | Containing a linear optimisation problem formulation library, feedin-data generation library and other auxiliary libraries it is meant to be developed further according to interests of user/ developer community. | | Containing a linear optimisation problem formulation library, feedin-data generation library and other auxiliary libraries it is meant to be developed further according to interests of user/ developer community. |
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| | |math_modeltype=Optimization, Simulation | | |math_modeltype=Optimization, Simulation |
| | |math_objective=costs, emissions | | |math_objective=costs, emissions |
| − | |deterministic=Not covered (yet) | + | |deterministic=so far deterministic |
| | |is_suited_for_many_scenarios=No | | |is_suited_for_many_scenarios=No |
| − | |computation_time_comments=depends strongly on use of modeling framework. typically if investment decisions are enabled, a model run takes a multiple of time to compute | + | |computation_time_comments=depends strongly on use of modeling framework. typically if investment decisions are enabled, a model run takes a multiple of minutes to compute |
| | }} | | }} |
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Open Energy Modelling Framework
by Reiner Lemoine Institut / Zentrum für nachhaltige Energiesysteme
Authors: Guido Plessmann, Uwe Krien, Caroline Möller, Simon Hilpert, Cord Kaldemeyer, Clemens Wingenbach, Wolf-Dieter Bunke, Stephan Günther et al.
Contact: Guido Plessmann, Uwe Krien, Caroline Möller, Simon Hilpert, Cord Kaldemeyer, Clemens Wingenbach, Wolf-Dieter Bunke, Stephan Günther
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oemof is a framework for energy system model development and its application in energy system analysis. Currently, it bases on collaborative work of three institutions. You can clone/fork the code at github.
Containing a linear optimisation problem formulation library, feedin-data generation library and other auxiliary libraries it is meant to be developed further according to interests of user/ developer community.
Based on Python, Pyomo, Coin-OR. Using Python, PostgreSQL, PostGIS for data processing.
Website / Documentation
Download
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Open Source GNU General Public License version 3.0 (GPL-3.0)
Directly downloadable
Some input data shipped
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| Model Scope |
Model type and solution approach |
| Model class
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Energy Modelling Framework
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| Sectors
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Electricity, Heat
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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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Europe, Germany, administrative districts (depends on user)
|
| Geographic Resolution
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depends on user input
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| Time resolution
|
Hour
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| Network coverage
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transmission, distribution, DC load flow, net transfer capacities
|
|
| Model type
|
Optimization, Simulation
|
|
|
|
| Variables
|
|
| Computation time
|
minutes (depends strongly on use of modeling framework. typically if investment decisions are enabled, a model run takes a multiple of minutes to compute)
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| Objective
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costs, emissions
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| Uncertainty modeling
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so far deterministic
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| Suited for many scenarios / monte-carlo
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No
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|