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| |contact_persons=Arthur Rinaldi | | |contact_persons=Arthur Rinaldi |
| |contact_email=arthur.rinaldi@unige.ch | | |contact_email=arthur.rinaldi@unige.ch |
| + | |source_download=https://github.com/arthurrinaldi/grimsel |
| |open_source_licensed=Yes | | |open_source_licensed=Yes |
| |license=BSD 2-Clause "Simplified" or "FreeBSD" License (BSD-2-Clause) | | |license=BSD 2-Clause "Simplified" or "FreeBSD" License (BSD-2-Clause) |
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| |Additional dimensions (Economical)=Shadow prices of each energy carriers | | |Additional dimensions (Economical)=Shadow prices of each energy carriers |
| |math_modeltype=Optimization | | |math_modeltype=Optimization |
| + | |math_modeltype_shortdesc=Quadratic dipatch sector-coupling model |
| |math_objective=Minimization of total system costs | | |math_objective=Minimization of total system costs |
| |deterministic=Perfect foresight, Sensitivity analisys, Scenarios | | |deterministic=Perfect foresight, Sensitivity analisys, Scenarios |
| |is_suited_for_many_scenarios=No | | |is_suited_for_many_scenarios=No |
| + | |number_of_variables=5000000 |
| |montecarlo=No | | |montecarlo=No |
| + | |computation_time_minutes=30 |
| |Model input file format=Yes | | |Model input file format=Yes |
| |Model file format=Yes | | |Model file format=Yes |
| |Model output file format=Yes | | |Model output file format=Yes |
| }} | | }} |
Model Scope |
Model type and solution approach |
Model class
|
Energy System Model, Optimization, Social Planner
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Sectors
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Electricity, Heat, Hydrogen, Buildings, Transport
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Technologies
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Renewables, Conventional Generation
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Decisions
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dispatch
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Regions
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Switzerland, Austria, Italy, France, Germany
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Geographic Resolution
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Consumer types and Urban settings
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Time resolution
|
Hour
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Network coverage
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transmission, net transfer capacities
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|
Model type
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Optimization
|
|
Quadratic dipatch sector-coupling model
|
Variables
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5000000
|
Computation time
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30 minutes
|
Objective
|
Minimization of total system costs
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Uncertainty modeling
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Perfect foresight, Sensitivity analisys, Scenarios
|
Suited for many scenarios / monte-carlo
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No
|
|