1. Functionality focused modeling of non-energy related emissions
Expert Workshop „ClimTrans2050“ Open source model for analysing Austria’s transition to a low carbon society by 2050 – A research plan
Functionality focused modeling of non-energy related emissions
March 4th, 2016

2. non-energy emissions
Which non-energy sources generate greenhouse gas emissions?
agricultural production
industrial production processes
extraction and distribution of fossil fuels
waste disposal
the use of F-gases
land use, land use change and forestry (either source or sink)
Agricultural production is the most important non-CO2-emission source from non-energy sources.
Industrial production processes are the most important CO2-emission source from non-energy sources.

3. agricultural production
Status quo of emissions from agricultural production

4. related functionalities
Which functionalities are relevant for non-energy sources?
Nutrition
Agricultural production
Industrial processes
Waste disposal
Shelter
Forestry
Access to persons and goods
In modelling
Reproducibles (cf. Figure 3 of research plan)
industrial processes
the use of F-gases
waste disposal
extraction and distribution of fossil fuels
land use, land use change and forestry (either source or sink)

5. Modelling approaches– the food cascade
Food is just another form of energy
functionality approach
nutrition
Food needed
Food consumed
Food bought
Food supplied
common approach

6. Modelling approaches– generification
Food is a special type of good/ service
functionality approach
Functio- nality
Goods/ services needed
Goods/ services consumed
Goods/ services bought
Goods/ services supplied
common approach

7. Modelling approaches Detailed view on consumption and production
Imports
Domestic production
Domestic consumption
exports
Domestic production
Domestic consumption = Food bought
Food consumed
waste
Food needed
added consump- tion
Food sold (including exports)
Production losses
Wasted products

8. Next research steps (1)
Research tasks for nutrition for Tier 1 (physical layer)/ what the model should be capable of:
status quo starting from functionalities; amount of total emissions in coherence with national inventory Austria
Assess availability, utility and quality of relevant data such
Suggestions for improving data availability based on gaps
Scenarios for future nutrition consumption and how it can be influenced (behavioural changes -> institutional layer) have to be developed. Factors of well-being should also be considered

9. Next research steps (2)
Analysing changes of technical parameters/ emissions factors such as
production of calories/animal
yield of grain with a certain content of calories/proteins/carbohydrates per hectare of land
emission factors (e.g. race of cattle).
Assessment of uncertainties concerning data and model results; focus on the most relevant and sensitive parameters.

10. Next research steps (3)
Modeling the linkage between Tier 1 and 2 (economic layer) - Interlink most important economic parameters for nutrition and related emissions - Structure of the agricultural sector (size of farms, percentage of organic farming,…) - Interlink technical parameters and emissions (e.g. learning curves, but also complete switches of technologies) - Allow for and integrate breakthrough technologies - Change of technological coefficients over time - Deal with boundaries and restrictions (e.g. area, water, human resources) - Avoid double counting of activities

11. Contact Thomas Krutzler +43-1-31304-5542
Umweltbundesamt project team:
Jürgen Schneider, Ilse Schindler, Michael Anderl, Helmut Gaugitsch, Thomas Gallauner, Stephan Poupa, Gudrun Stranner