Model for Energy Supply Strategy Alternatives and their General Environmental Impacts (MESSAGE)

REEEM EMP-E
Name Model for Energy Supply Strategy Alternatives and their General Environmental Impacts
Acronym MESSAGE
Methodical Focus -
Institution(s) IIASA, IAEA
Author(s) (institution, working field, active time period)
Current contact person
Contact (e-mail) dummi@email.com
Website http://www.iiasa.ac.at/web/home/research/modelsData/MESSAGE/MESSAGE.en.html
Logo
Primary Purpose Optimization model for long-run energy planning
Primary Outputs global net present cost of the system, capacity and flow mix in every time slice
Support / Community / Forum
Framework
Link to User Documentation
Link to Developer/Code Documentation
Documentation quality expandable
Source of funding
Number of devolopers -
Number of users less than 1000
Open Source
Planned to open up in the future
Costs
Modelling software -
Internal data processing software text files
External optimizer
Additional software
GUI
Citation reference
Citation DOI
Please list references to reports and studies which were produced using the model
Example research questions System costs of a specific pathway; effectiveness of the policy, penetration of renewable/local energy sources, operational flexibility of system/power plants, feasibility studies of generation/storage options, fuel availability issues, security of supply, impact/cost of implementation RES policy/target, etc.
Larger scale usage IIASA, IAEA
Model validation -
Example research questions System costs of a specific pathway; effectiveness of the policy, penetration of renewable/local energy sources, operational flexibility of system/power plants, feasibility studies of generation/storage options, fuel availability issues, security of supply, impact/cost of implementation RES policy/target, etc.
further properties
Model specific properties
Modeled energy sectors (final energy) -
Modeled demand sectors -
Modelled energy carriers (primary energy carrier)
Gas -
Liquids -
Solid -
Renewables -
Modeled technologies: components for generation or conversion
Renewables -
Conventional -
Modeled technologies: components for transfer, infrastructure or grid
Electricity -
Gas -
Heat -
Properties electrical grid -
Modeled technologies: components for storage -
User behaviour and demand side management Demand is fixed. Workaround exist to introduce flexible demand.
Changes in efficiency
Market models -
Geographical coverage
Geographic (spatial) resolution -
Time resolution Over 200.000 time slices/year
Comment on geographic (spatial) resolution
Observation period -
Additional dimensions (sector) -
Model class (optimisation) LP
Model class (simulation) -
Other
Short description of mathematical model class Mono-objective LP
Mathematical objective -
Approach to uncertainty -
Suited for many scenarios / monte-carlo
typical computation time less than a second
Typical computation hardware RAM, CPU
Technical data anchored in the model
Interfaces -
Model file format text
Input data file format .csv
Output data file format .csv
Integration with other models
Integration of other models

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