Economic Valuation of Air pollution (EVA)

REEEM
Name Economic Valuation of Air pollution
Acronym EVA
Methodical Focus -
Institution(s) Aarhus University
Author(s) (institution, working field, active time period) Jørgen Brandt et al.
Current contact person Jørgen Brandt
Contact (e-mail) jbr@envs.au.dk
Website
Logo
Primary Purpose Integrated Impact Assessment
Primary Outputs Health and monetized impacts
Support / Community / Forum
Framework
Link to User Documentation
Link to Developer/Code Documentation
Documentation quality expandable
Source of funding
Number of devolopers less than 50
Number of users -
Open Source
Planned to open up in the future
Costs
Modelling software Fortran
Internal data processing software
External optimizer
Additional software
GUI
Citation reference "Brandt, J., J. D. Silver, J. H. Christensen, M. S. Andersen, J. Bønløkke, T. Sigsgaard, C. Geels, A. Gross, A. B. Hansen, K. M. Hansen, G. B. Hedegaard, E. Kaas and L. M. Frohn, 2013: “Contribution from the ten major emission sectors in Europe to the Health-Cost Externalities of Air Pollution using the EVA Model System – an integrated modelling approach”. Atmospheric Chemistry and Physics, Vol. 13, pp. 7725-7746, 2013. www.atmos-chem-phys.net/13/7725/2013/, doi:10.5194/acp-13-7725-2013. Brandt, J., J. D. Silver, J. H. Christensen, M. S. Andersen, J. Bønløkke, T. Sigsgaard, C. Geels, A. Gross, A. B. Hansen, K. M. Hansen, G. B. Hedegaard, E. Kaas and L. M. Frohn, 2013: “Assessment of Past, Present and Future Health-Cost Externalities of Air Pollution in Europe and the contribution from international ship traffic using the EVA Model System”. Atmospheric Chemistry and Physics. Vol. 13, pp. 7747-7764, 2013. www.atmos-chem-phys.net/13/7747/2013/. doi:10.5194/acp-13-7747-2013. Geels, C., C. Andersson, O. Hänninen, A. S. Lansø, P. Schwarze and J. Brandt, 2015: Future Premature Mortality due to Air Pollution in Europe – Sensitivity to Changes in Climate, Anthropogenic Emissions, Population and Building stock, Int. J. Environ. Res. Public Health, Int. 2015, 12, 2837-2869; http://www.mdpi.com/1660-4601/12/3/2837. doi:10.3390/ijerph120302837."
Citation DOI
Please list references to reports and studies which were produced using the model "77. Brandt, J., J. D. Silver, J. H. Christensen, M. S. Andersen, J. Bønløkke, T. Sigsgaard, C. Geels, A. Gross, A. B. Hansen, K. M. Hansen, G. B. Hedegaard, E. Kaas and L. M. Frohn, 2011: “Assessment of Health-Cost Externalities of Air Pollution at the National Level using the EVA Model System”, CEEH Scientific Report No 3, Centre for Energy, Environment and Health Report series, March 2011, pp. 98. ISSN 1904-7495. http://www.ceeh.dk/CEEH_Reports/Report_3/CEEH_Scientific_Report3.pdf Brandt, J., Silver, J. D., Gross, A. and Christensen, J. H., 2010: “Marginal damage cost per unit of air pollution emissions”, Roskilde: National Environmental Research Institute. 23 p. Specific agreement 3555/B2010/EEA.54131 implementing framework contract ref. no. EEA/IEA/09/002. (The results in the report was used in “Road user charges for heavy goods vehicles (HGV) Tables with external costs of air pollution”, EEA Technical report No 1/2013, ISSN 1725-2237, pp. 88.)"
Example research questions What is the impacts from certain emission sources or sectors in specific areas with respect to health impacts, external costs and unit prices
Larger scale usage
Model validation cross-checked with other models, checked with measurements (measured data)
Example research questions What is the impacts from certain emission sources or sectors in specific areas with respect to health impacts, external costs and unit prices
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
Geographic (spatial) resolution -
Time resolution -
Comment on geographic (spatial) resolution
Observation period -
Additional dimensions (sector) -
Model class (optimisation) Simulation (non-linear)
Model class (simulation) -
Other
Short description of mathematical model class
Mathematical objective -
Approach to uncertainty -
Suited for many scenarios / monte-carlo
typical computation time less than a minute
Typical computation hardware RAM, CPU
Technical data anchored in the model
Interfaces
Model file format .csv
Input data file format .csv
Output data file format .bin
Integration with other models Integrated with two air pollution models - a regional model DEHM and a high-resolution model UBM
Integration of other models

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