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| Line 13: |
Line 13: |
| | |model_source_public=Yes | | |model_source_public=Yes |
| | |data_availability=all | | |data_availability=all |
| − | |open_future=No | + | |open_future=Yes |
| | |modelling_software=Developed in-house written in Ruby (on Rails) | | |modelling_software=Developed in-house written in Ruby (on Rails) |
| | |processing_software=Excel / VBA | | |processing_software=Excel / VBA |
| Line 25: |
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| | |network_coverage=transmission, distribution, net transfer capacities | | |network_coverage=transmission, distribution, net transfer capacities |
| | |math_modeltype=Simulation | | |math_modeltype=Simulation |
| − | |math_modeltype_shortdesc=The ETM is based on an energy graph where nodes can convert one type of energy into another. | + | |math_modeltype_shortdesc=The ETM is based on an energy graph where nodes can convert one type of energy into another. |
| | |math_objective=Given demand and other choices, calculate primary energy use, costs, CO2-emission etc. | | |math_objective=Given demand and other choices, calculate primary energy use, costs, CO2-emission etc. |
| | |deterministic=The user can assess the impact of almost every input variable and assumption | | |deterministic=The user can assess the impact of almost every input variable and assumption |
| Line 31: |
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| | |number_of_variables=300 | | |number_of_variables=300 |
| | |computation_time_minutes=0.0083333 | | |computation_time_minutes=0.0083333 |
| − | |computation_time_comments=From input to output, including communication with the server the calculation takes less than a second (except with very slow internet connections). | + | |computation_time_comments=From input to output, including communication with the server the calculation takes less than a second (except with very slow internet connections). |
| | |citation_references=https://github.com/quintel/documentation | | |citation_references=https://github.com/quintel/documentation |
| | |report_references=http://www.energieakkoordser.nl/~/media/files/energieakkoord/nieuwsberichten/2015/20141212-quintel.ashx, | | |report_references=http://www.energieakkoordser.nl/~/media/files/energieakkoord/nieuwsberichten/2015/20141212-quintel.ashx, |
Revision as of 12:58, 28 January 2016
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Energy Transition Model
by Quintel Intelligence
Authors:
Quintel Intelligence
Contact:
Chael Kruip
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Web-based model based on a holistic description of a countries energy system.
Based on Developed in-house written in Ruby (on Rails). Using Excel / VBA for data processing.
[www.energytransitionmodel.com Website / Documentation]
Download
|
 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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Demand driven energy model
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| Sectors
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Households, Buildings, Agriculture, Transport, Industry, Energy
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| Technologies
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Renewables, Conventional Generation, CHP
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| Decisions
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dispatch
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| Regions
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EU27, The Netherlands, UK, Poland, France, Germany, Spain, Brazil
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| Geographic Resolution
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Country
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| Time resolution
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Single time slice
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| Network coverage
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transmission, distribution, net transfer capacities
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|
| Model type
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Simulation
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|
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The ETM is based on an energy graph where nodes can convert one type of energy into another.
|
| Variables
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300
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| Computation time
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0.0083333 minutes (From input to output, including communication with the server the calculation takes less than a second (except with very slow internet connections).)
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| Objective
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Given demand and other choices, calculate primary energy use, costs, CO2-emission etc.
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| Uncertainty modeling
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The user can assess the impact of almost every input variable and assumption
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| Suited for many scenarios / monte-carlo
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Yes
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References
Scientific references
https://github.com/quintel/documentation
Reports produced using the model
http://www.energieakkoordser.nl/~/media/files/energieakkoord/nieuwsberichten/2015/20141212-quintel.ashx,
http://www.energieakkoordser.nl/~/media/files/energieakkoord/nieuwsberichten/2015/20150210-vergadering/20150210-uitvoeringsagenda.ashx
https://www.youtube.com/watch?v=UMkehKZC3Kc&list=UUwUlayF7P2RnRHFz0_a1v9A&feature=share
Example research questions
What would happen (to reliability, CO2, cost) if we close all non-profitable power plants?
Which combinations of options can we use to reach a certain goal (in sustainability, cost, import dependence etc.)?
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