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ClairCity Modelling behaviour in transport & domestic energy use

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Presentation on theme: "ClairCity Modelling behaviour in transport & domestic energy use"— Presentation transcript:

1 ClairCity Modelling behaviour in transport & domestic energy use
Kris Vanherle (TML) @ClairCity This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No

2 ClairCity context “…source apportionment of city air pollution, carbon emissions and health outcomes, attributing them to citizens’ behaviours, activities and choices (e.g. travel to work, shopping, recreation …) rather than only to source sectors (Transport/Domestic/Industrial) or technologies (e.g. diesel vehicles, coal power plants)…”

3 ClairCity context “…source apportionment of city air pollution, carbon emissions and health outcomes, attributing them to citizens’ behaviours, activities and choices (e.g. travel to work, shopping, recreation …) rather than only to source sectors (Transport/Domestic/Industrial) or technologies (e.g. diesel vehicles, coal power plants)…”

4 Source apportionment Traditional sense: “technical” sectors:
Freight/passenger transport (sub-sections: car/bus/HGV, fuel type, Euro Standards) Industry: power generation, chemical, cement,… Households: fuel types used for heating (gas, electricity, wood, coal,…) ClairCity “addition”: the underlying reasons for these emissions, to increase understanding and allow for targeted policies

5 ClairCity context “…source apportionment of city air pollution, carbon emissions and health outcomes, attributing them to citizens’ behaviours, activities and choices (e.g. travel to work, shopping, recreation …) rather than only to source sectors (Transport/Domestic/Industrial) or technologies (e.g. diesel vehicles, coal power plants)…”

6 Citizens’ behaviour 2 focal points: (passenger) Transport choices
Domestic energy use

7 Citizens’ behaviour 2 focal points: (passenger) transport choices
Domestic energy use

8 Transport behaviour Passenger activities...

9 Transport behaviour Passenger activities…
…generate trips with different purposes… discretionary home recreational services shopping study work

10 Transport behaviour Passenger activities…
…generate trips with different purposes… …by different people… Age - gender - income

11 Transport behaviour Passenger activities…
…generate trips with different purposes… …by different people… …with different modes Car – bus – train – bike - walk

12 Citizens’ behaviour 2 focal points: (passenger) transport choices
Domestic energy use

13 Domestic energy use Household activities…

14 Domestic energy use Household activities…
…generate electricity use & heating patterns…

15 Domestic energy use Household activities…
…generate electricity use & heating patterns… …using different energy vectors  gas, district heating, oil, solid fuel, wood

16 Link with emission sources
Transport activity then linked to the actual sources: diesel/petrol/electric cars, buses,… with distinct emission profiles Domestic energy consumption linked to properties of the energy vector with distinct emission profiles

17 Conclusion Expanding beyond traditional identification of sources of local air quality to the underlying sources of emissions Understand what behaviours are driving the emissions to allow for “targeted” policies

18 Conclusion To go from…

19 Conclusion …to:

20 ClairCity Our future with clean air www.claircity.eu @ClairCity
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No


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