EcoSense (EcoSense)

Name EcoSense
Acronym EcoSense
Methodical Focus Integrated Impact Assessment , Impact Pathway Approach
Author(s) (institution, working field, active time period) Krewitt; W., Friedrich; R., Roos; J.
Current contact person Schmid, D.
Contact (e-mail)
Primary Purpose Integrated Impact Assessment, Assessment of external costs, health impact of emissions
Primary Outputs health impacts ('disability adjusted lifeyears', 'years of life lost'), external costs (monetized impacts)
Support / Community / Forum
Link to User Documentation
Link to Developer/Code Documentation
Documentation quality expandable
Source of funding
Number of devolopers less than 10
Number of users less than 1000
Open Source
Planned to open up in the future
Modelling software PHP
Internal data processing software SQL
External optimizer
Additional software
Citation reference
Citation DOI
Please list references to reports and studies which were produced using the model
Example research questions
Larger scale usage
Model validation cross-checked with other models
Example research questions
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
Changes in efficiency
Market models -
Geographical coverage EU28; Norway; Switzerland
Geographic (spatial) resolution national states, up to 25' x 25'
Time resolution annual
Comment on geographic (spatial) resolution spatial resolution can be defined by users, highest resolution currently possible is 25' x 25' (determined by population data)
Observation period 1 year
Additional dimensions (sector) -
Model class (optimisation) -
Model class (simulation) Top down
Short description of mathematical model class
Mathematical objective costs, external costs of emission reduction scenarios
Approach to uncertainty Multiple scenarios are run
Suited for many scenarios / monte-carlo
typical computation time less than an hour
Typical computation hardware
Technical data anchored in the model
Interfaces Web access
Model file format .php
Input data file format .csv
Output data file format .csv
Integration with other models Soft-link with energy system optimization models (air pollutants; damage cost factors)
Integration of other models Soft-link with atmospheric dispersion 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.