GRIMSEL-FLEX
From wiki.openmod-initiative.org
(Difference between revisions)
|
|
| Line 41: |
Line 41: |
| | |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 | | |computation_time_minutes=30 |
Latest revision as of 18:50, 20 December 2021
|
General Integrated Modeling environment for the Supply of Electricity and Low-temperature heat
by University of Geneva
Authors:
Martin Soini, Arthur Rinaldi
Contact:
Arthur Rinaldi
|
Based on Python (Pyomo). Using Python (pandas et al) for data processing.
Download
|
 Open Source
BSD 2-Clause "Simplified" or "FreeBSD" License (BSD-2-Clause)
Directly downloadable
Input data shipped
|
| Model Scope |
Model type and solution approach |
| Model class
|
Energy System Model, Optimization, Social Planner
|
| Sectors
|
Electricity, Heat, Hydrogen, Buildings, Transport
|
| Technologies
|
Renewables, Conventional Generation
|
| Decisions
|
dispatch
|
| Regions
|
Switzerland, Austria, Italy, France, Germany
|
| Geographic Resolution
|
Consumer types and Urban settings
|
| Time resolution
|
Hour
|
| Network coverage
|
transmission, net transfer capacities
|
|
| Model type
|
Optimization
|
|
|
Quadratic dipatch sector-coupling model
|
| Variables
|
5000000
|
| Computation time
|
30 minutes
|
| Objective
|
Minimization of total system costs
|
| Uncertainty modeling
|
Perfect foresight, Sensitivity analisys, Scenarios
|
| Suited for many scenarios / monte-carlo
|
No
|
|
References
Scientific references
◀ back to model list
Facts about "GRIMSEL-FLEX"RDF feed
| Author institution | University of Geneva + |
| Authors | Martin Soini, Arthur Rinaldi + |
| Computation time minutes | 30 + |
| Contact email | arthur.rinaldi@unige.ch + |
| Contact persons | Arthur Rinaldi + |
| Data availability | all + |
| Decisions | dispatch + |
| Deterministic | Perfect foresight, Sensitivity analisys, Scenarios + |
| Full Model Name | General Integrated Modeling environment for the Supply of Electricity and Low-temperature heat + |
| Georegions | Switzerland, Austria, Italy, France, Germany + |
| Georesolution | Consumer types and Urban settings + |
| Is suited for many scenarios | false + |
| License | BSD 2-Clause "Simplified" or "FreeBSD" License (BSD-2-Clause) + |
| Math modeltype | Optimization + |
| Math modeltype shortdesc | Quadratic dipatch sector-coupling model + |
| Math objective | Minimization of total system costs + |
| Model class | Energy System Model +, Optimization + and Social Planner + |
| Model source public | true + |
| Modelling software | Python (Pyomo) + |
| Network coverage | transmission + and net transfer capacities + |
| Number of variables | 5,000,000 + |
| Open future | false + |
| Open source licensed | true + |
| Processing software | Python (pandas et al) + |
| Sectors | Electricity +, Heat +, Hydrogen +, Buildings + and Transport + |
| Source download | https://github.com/arthurrinaldi/grimsel + |
| Technologies | Renewables + and Conventional Generation + |
| Timeresolution | Hour + |
| Website | |
