PLEXOS® Integrated Energy Model (PLEXOS)

Name PLEXOS® Integrated Energy Model
Acronym PLEXOS
Methodical Focus -
Institution(s) Energy Exemplar
Author(s) (institution, working field, active time period) Glenn Drayton (Energy Exemplar). The initial version of PLEXOS was released in 2000.
Current contact person Christos Papadopoulos, Regional Director – Europe
Contact (e-mail)
Primary Purpose Optimization model for long, medium and short-term energy market analysis.
Primary Outputs Output properties are selected depending on the case study, e.g. generation, costs, revenues, emissions etc. of each unit for every timeslice
Support / Community / Forum
Link to User Documentation
Link to Developer/Code Documentation
Documentation quality expandable
Source of funding
Number of devolopers -
Number of users more than 1000
Open Source
Planned to open up in the future
Modelling software C#, VB.NET
Internal data processing software
External optimizer
Additional software
Citation reference
Citation DOI
Please list references to reports and studies which were produced using the model "Commercial Publications: Research Publications:"
Example research questions
Larger scale usage
Model validation -
Example research questions
further properties
Model specific properties
Modeled energy sectors (final energy) electricity, heat, gas, Water
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 AC load flow, DC load flow
Modeled technologies: components for storage battery, pump hydro, heat, gas
User behaviour and demand side management
Changes in efficiency
Market models -
Geographical coverage
Geographic (spatial) resolution regions
Time resolution hour, 1 min, smallest 1 minute
Comment on geographic (spatial) resolution User-defined Regions and Zones within regions
Observation period Flexible, from short term (hours, days, months) to long term (typically 10-40 years)
Additional dimensions (sector) Water supply
Model class (optimisation) LP, MILP
Model class (simulation) -
Other NLP
Short description of mathematical model class
Mathematical objective costs
Approach to uncertainty Stochastic
Suited for many scenarios / monte-carlo
typical computation time less than a day
Typical computation hardware RAM, CPU
Technical data anchored in the model
Model file format .xml
Input data file format .csv
Output data file format .XML Files, Excel files, text files (.csv), .MDB
Integration with other models
Integration of other models

If you find bugs or if you have ideas to improve the Open Energy Platform, you are welcome to add your comments to the existing issues on GitHub.
You can also fork the project and get involved.

Please note that the platform is still under construction and therefore the design of this page is still highly volatile!

Fact Sheet objectives: The Fact Sheets are made to...
  • Find models/frameworks for your needs or just get an overview about the existing ones
  • Compare a selection of models for different purposes - e.g. to develop a strategy to link them
  • Store your model/framework information to provide transparency
More info here
Use case example model Fact Sheet: For a European pathway simulation (EPS) we want to choose the models that best meet our requirements. All partners include their models in the Model Fact Sheets and tag them with “EPS”. To compare the models we filter all “EPS” models and choose different characteristics that we want to compare. OEP will give us tables (views) that facilitate the comparison.