Name EcoSense
Acronym EcoSense
Methodical Focus None
Institution(s)
Author(s) (institution, working field, active time period) Krewitt; W., Friedrich; R., Roos; J.
Current contact person Schmid, D.
Contact (e-mail) ds@ier.uni-stuttgart.de
Website http://ecosenseweb.ier.uni-stuttgart.de/
Logo
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
Framework
Link to User Documentation
Link to Developer/Code Documentation
Documentation quality expandable
Source of funding
Number of developers less than 10
Number of users less than 1000
Open Source
Planned to open up in the future
Costs
Modelling software PHP
Internal data processing software SQL
External optimizer
Additional software
GUI
Citation reference
Citation DOI
Reference Studies/Models
Example research questions
Model usage
Model validation cross-checked with other models
Example research questions
further properties
Model specific properties
Modeled energy sectors (final energy) -
Modeled demand sectors -
Modeled technologies: components for power 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
Other
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

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