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Scenarios for 2050

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Title: Scenarios for 2050


1
  • Scenarios for 2050 assumptions for the
    transport sector
  • simone.schucht_at_ineris.fr
  • TFIAM / WGE / ACCENT network workshop, 5-6 March
    2009, Utrecht
  • Workshop on non-binding aspirational targets for
    air pollution for the year 2050

2
Introduction
  • Scenarios analysed by Energy WG of the Centre
    danalyse stratégique
  • Government demands high level commission to
    develop major operational orientations and
    suggestions for energy, transport and planning
    policies
  • Objective
  • ambitious assumptions but no technical and
    behavioural breaks (fuel cells, hydrogen, limited
    use of CCS, photovoltaics ...)
  • what would be needed to reach factor 4 CO2
    reductions?
  • Baseline and aspirational scenarios analysed
  • Exploratory analysis - these are no official
    French scenarios

3
Introduction
  • Scenario run in SEEScen model by Mark Barrett
  • Use of some macro and transport data from
    baseline scenario analysed by CAS Energy WG
  • 3 scenarios
  • maximum technology
  • maximum behaviour
  • maximum technology and behaviour

4
Transport CO2 emissions (Mt CO2)
Analysed scenarios
Factor 1.7
Factor 3.5
gt Limited modal change, technology, efficiency
...
5
Modal change passenger transport (G p-km)
Analysed scenarios
Aspirational car share 83 in 2002, 75 in 2050
6
Modal change public transport (G p-km)
Analysed scenarios
Rail share BL 2025 67, aspirational 2050 71
Road share BL 2025 23, aspirational 2050 24
Air share BL 2025 10, aspirational 2050 5
7
Modal change freight transport (G t-km)
Analysed scenarios
Road share BL 2005 86, aspirational 2050 73
Rail share BL 2005 12, aspirational 2050 24
Rail share BL 2005 12, aspirational 2050 24
Inland water share BL 2005 2, aspirational
2050 4
8
Efficiency improvements
Analysed scenarios
  • Average car performance (g CO2/km)
  • Aircraft
  • use of larger planes with more efficient engins
    might reduce energy consumption per passenger-km
    by a factor 2 between now and 2030
  • Road freight - fuel consumption per v-km
  • 2025 baseline and aspirational -15
  • 2050 aspirational -30

9
Technology/fuels
Analysed scenarios
  • Energy consumption of transport sector (M toe)
  • Cars 2050
  • ? 50 electric (urban/suburban) or hybrid
    rechargeable
  • 45 of v-km using electricity
  • petrol, diesel, bio-fuels ? 11 - 12 Mtoe

10
Further factors and drivers
Analysed scenarios
  • Factors reducing fuel consumption
  • Better capacity utilisation in road freight
    transport
  • Eco-driving (cars and trucks)
  • Car sharing
  • Tele work
  • Drivers
  • Regulation
  • Spatial planning
  • Service poles (schools, commerce, health care
    ...)
  • Limitations to car use in central urban areas
  • High occupancy vehicle lanes
  • Increased public transport offer
  • Increased prices for car use ( 50)
  • High fuel prices ...

11
Passenger transport - maximum behavioural change
(G p-km)
SEEScen scenarios
12
Maximum technological and behavioural change
passenger transport by mode ()
SEEScen scenarios
13
Freight transport - maximum behavioural change (G
t-km)
SEEScen scenarios
14
Maximum technological and behavioural change
freight transport by mode ()
SEEScen scenarios
15
Maximum technological change passenger
transport (G v-km)
SEEScen scenarios
16
Transport (national) CO2 emissions (in M t CO2)
SEEScen scenarios
17
Conclusions
  • Only indicative results
  • Important is to identify possible trends and
    important measures
  • Future?
  • More detailed analysis and comparison of
    assumptions in different scenarios/models
  • Analysis of further sectors
  • Estimate effects on atmospheric emissions

18
Reports on the scenarios analysed by the CAS
working group http//www.strategie.gouv.fr/IMG/
pdf/Rapport_Energie_synthese_VOLUME_1.pdf http//w
ww.strategie.gouv.fr/IMG/pdf/Rapport_Energie_PARTI
E5.pdf Thank you!
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