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A consistent glance at the future

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Presentation on theme: "A consistent glance at the future"— Presentation transcript:

1 A consistent glance at the future
Emission sCenarios A consistent glance at the future

2 Goal „consistent glance at the future“
Projections for all sources and pollutants „future inventories“ for 2030/2050 showing approx. future emission levels Consideration of mitigation goal for different groups of pollutants (e.g. more biomass is good for climate, but bad for POPs) allows for Target checking for emission reduction promises Measure-Effect-Analysis Fullfilment of reporting requirements under NEC/UNECE Scenario comparison Scenario „Rapid Prototyping“ Combination of different source-specific scenario to a complete inventory NOT a replacement for modelling, but an added extra to „transplate energy scenarios into emission projections“

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9 Starting Point Projections are few and far between, cover only parts of the inventory VISUAL: sources-pollutant-matrix rare updates, because they are a lot of work  problems with events like economic crisis Models available: PSz, Nationales Programm, PAREST, DEESY, Panta Rhei

10 GHG Air HM POP Energy Industry Solvents Agricul. LULUCF Waste
Emission Scenarios PSz National Program NEC vTI

11 Approach VISUAL: overview diagram Aggregation and abstraction
Emission remain constant unless better information available  upper bound emission Energy divided into 13 sectors a 10 fuels Industry by source and product Agriculture by source and animal type Other: Emission only Abstract AR and IEF at all these levels extrapolated  calculation of future emissions Scenarios alter future AR and IEF to show alternative „futures“. Scenarios inherit data for all place they leave empty  allows for rapid prototyping VISUAL: table and diagram with numbers

12 Central Emission System (CES):
Detailed data von activities (AD), emission factors (EF) and emissions (EM) Time series from 1990 onwards, Represents baseline scenario (“REF“) Products Emission reporting: Tables in CRF- and NFR-format, gridded emissions, indicators Public information: Trend tables, “real-time” inventory Extra assessments: Base data for internal and external assessments Defined interface: Aggregated AD, EM, IEF for CES-data Standard format Projections: “Translation” of GHG-scenarios for air pollution, Assessment of UBA-scenarios Emission scenarios: CES-consistent emission data for scenarios, Extrapolation of aggregated implied EF, “Translation” of GHG-scenarios for air pollution, Scenarios up to 2050 Projection and Scenario projects Supply of base data for scenarios Adjustment for recalculation Project results feed into emission projection database 1. 2. 3.

13 AR * EF = EM

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15 1990 1995 2000 2005 2010 2015 2020 2025 2030 AR 1200 1205 1100 1050 1000 950 800 820 700 IEF 0,1 0,08 EM 120 120,5 110 105 100 95 80 65,6 56

16 Implementation ZSE: 2.500 AR, 20.000 EF, 20.000 EM
ESZ: 150 AR, EF, EM Scenario „REF“ in ESZ equals the CES for 1990 to current year, current year to 20xx remains constant  upper bound approx. Scenario „I2.6“: current best guess from working group I2.6  „most probable“ approx. Scenarios PSz-MMS, PSz-MWMS, and PSz-SWS as definied by modelling of „Politikszenarien“

17 Central Emission System
AR x EF = EM Emission Scenarios

18 Szenarios REF I2.6 PSzV-MMS PSzV-MWMS PSzV-SWS

19 Result „Trendtables“ up to 2050 (with scenario combination)
Scenario comparision NEC/UNECE-projection reporting GHG short term projection integrated VISUAL: Examples

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25 TODO Other pollutants More Scenarios (z.B. 100% EE UBA study)
More work on future IEFs More work on measure-effect-analysis Take away: use a good tool!


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