DeComposition Analysis & Extrapolation Contribution to FLERMONECA workshop Environmental reporting, forecasting and near-to-real time data Tashkent, Uzbekistan, 23th April - 24th April 1 Outline 1. Methodology 2. Examples of ex-post DCA usage 3. Examples of ex-ante DCA and DCE usage 4. Possible ex-ante usage of DCE for Forward-Looking Information and Services 2 1. Methodology 2. Ex-post DCA 3. Ex-ante DCA/DCE 4. Usage of DCA/DCE 1. Methodology 3 DeComposition Analysis DCA Ex-post component analysis of a certain environmental parameter with well-known driving forces Raw Material Equivalents (RME), GHG emissions, etc. Parameter is decomposed into a product of relevant factors Factors (components) Contribution of these factors to parameter change Total effect on the parameter without a single factor while leaving the other components constant is assumed to represent approximately the contribution of this factor to the total change of the parameter 4 1. Methodology 2. Ex-post DCA 3. Ex-ante DCA/DCE 4. Usage of DCA/DCE Decomposition Extrapolation DCE Ex-ante application of DeComposition Analysis comparing two scenarios with estimations from base to target year Baseline scenario (Business as usual) Policy and Measures (PaM) scenario Estimation of total factor change from base to target year Expectation value Minimum Maximum Policies, measures and their interdependencies are considered Rebound effects, mutual reduction or synergetic enhancement 5 1. Methodology 2. Ex-post DCA 3. Ex-ante DCA/DCE 4. Usage of DCA/DCE 2. Examples of ex-post DCA usage 6 Ex-post DCA for the total GHG emissions of 32 EIONET countries: Main drivers for trends from 1990-2009 DeComposition Analysis (DCA) EIONET countries 1990-2009 40 20 Energy-related Total GHG Emissions (2009) 60 Energy Intensity Carbon Intensity Fuel Intensity Fossil Fuel Intensity 80 Population GDP per inhabitant 100 Energy-related Total GHG Emissions (1990) Base year 1990 = 100 percent 120 0 Comparison 1990 and last data year 2009 1. Methodology 2. Ex-post DCA 3. Ex-ante DCA/DCE 7 4. Usage of DCA/DCE 3. Examples of ex-ante DCA and DCE usage 8 ‘Baseline-Scenario’ DCE for the total GHG emissions of 32 EIONET countries: Main drivers for trends from 1990-2050 DeComposition Extrapolation (DCE) EIONET countries Baseline 1990-2050 20 Fuel Intensity Energy-related Total GHG Emissions (2050) Energy Intensity 40 Fossil Fuel Intensity 60 Carbon Intensity 80 GDP per inhabitant 100 Population 120 Energy-related Total GHG Emissions (1990) Base year 1990 = 100 percent 140 0 Comparison 1990 and target year 2050 1. Methodology 2. Ex-post DCA 3. Ex-ante DCA/DCE 9 4. Usage of DCA/DCE ‘PaM-Scenario’ DCE for the total GHG emissions of 32 EIONET countries: Main drivers for trends from 1990-2050 20 Energy-related Total GHG Emissions (2050) Fossil Fuel Intensity Energy Intensity 40 Fuel Intensity 60 Carbon Intensity 80 GDP per inhabitant 100 Population 120 Energy-related Total GHG Emissions (1990) Base year 1990 = 100 percent 140 DeComposition Extrapolation (DCE) EIONET countries PaM 19902050 0 Comparison 1990 and target year 2050 1. Methodology 2. Ex-post DCA 3. Ex-ante DCA/DCE 10 4. Usage of DCA/DCE DCE for the total GHG emissions of 32 EIONET countries: Main drivers for trends from 1990-2050 11 1. Methodology 2. Ex-post DCA 3. Ex-ante DCA/DCE 4. Usage of DCA/DCE 4. Possible ex-ante use of DCE for Forward-Looking Services ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? 12 Application of DCA & DCE projects Aim • • • • • Analysis of effect by the change of driving forces Design of effective and controllable measures First estimation for a scenario assessment Backcasting from political targets to the needed change of components Estimation of trends, policies, measures and uncertainties Method Ex-post: DCA Ex-ante: DCE Design elements Key issues of policy Good estimation practice Error propagation 1. Methodology Additionality 2. Ex-post DCA Key indicators Trends and extrapolation of drivers Confidence range of results 3. Ex-ante DCA/DCE 13 4. Usage of DCA/DCE Please don’t hesitate to contact us, if you are interested in applying DCA/DCE in a Smart City or other regional (national) project looking at PaMs regarding energy, raw material equivalents (RME), GHG emissions or other environmental parameters. Alexander Storch [email protected] ++43 (0)1 313 04/5965 Environment Agency Austria, Vienna www.umweltbundesamt.at FLERMONECA Workshop Tashkent ■ April 24th to April 25th, 2015 14
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