energy systems analysis
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Energy Systems Analysis. Determinants 3: Environment. A Taxonomy of Environmental Problems (after WB, 1992):. xxxxxxxxxxxxxxxxxxxxxx. Poverty Industrialization Affluence. A Word of Caution. Cross-sectional data (comparing different countries) only first step - PowerPoint PPT PresentationTRANSCRIPT
Energy Systems Analysis Arnulf Grubler
Energy Systems Analysis
Determinants 3: Environment
Energy Systems Analysis Arnulf Grubler
A Taxonomy of Environmental Problems (after WB, 1992):xxxxxxxxxxxxxxxxxxxxxxPoverty Industrialization Affluence
Energy Systems Analysis Arnulf Grubler
A Word of Caution• Cross-sectional data (comparing
different countries) only first step• Longitudinal analyses needed too (track
changes across countries and in time).• Income is surrogate indicator and not a
causality driver!• Elasticity of impacts and peaks:
-- pollutant dependent-- exposure dependent-- time dependent (“leap-frogging”)
Energy Systems Analysis Arnulf Grubler
2 Environmental Kuznets Curves for Particulates: Urban Concentration vs. Total Human Exposure
(Source: K. Smith, 2000, WEA Chapter 3)
Energy Systems Analysis Arnulf Grubler
Environmental Problems of Energy
1: Poverty, ignorance, and lack of capacity
Energy Systems Analysis Arnulf Grubler
London - December 1952Urban Air Quality and Mortality
Energy Systems Analysis Arnulf Grubler
Particulate Concentrations and Human Exposure in 8 Environments
Exposure = People x Time x Concentration
Energy Systems Analysis Arnulf Grubler
Urban Air Quality – Standards vs. Reality ca. 1990 (WHO&UNEP, 1993)
Urban Air Quality
in Megacities
(WHO, 1993)
Energy Systems Analysis Arnulf Grubler
Environmental Problems of Energy
2: Industrialization, growing awareness, regionalization
Energy Systems Analysis Arnulf Grubler
Sulfur Cycle Local, Regional, and Global Impacts
Wetdeposition
Drydeposition
Acidification
Air quality(health,corrosion)
Stratosphere (cooling)
Based on Crutzen&Graedel, 1986.
* hydrogen sulfide (land)dimethyl sulfide (ocean)
*
Energy Systems Analysis Arnulf Grubler
IPCC WGI AR4 TS (2007)
Energy Systems Analysis Arnulf Grubler
SO2 Emissions Scenarios SRES and IS92a (Schlesinger et al. 2000 TFSC 65:167-193)
Energy Systems Analysis Arnulf Grubler
Effect of negativeSO2 forcing (right)and positive GHGforcing (left) onglobal mean tempchange
Smith et al., 2000TFSC 65:195-204
SRES lower SO2emissions (compared to IS92)lead to amplified Warming!
Energy Systems Analysis Arnulf Grubler
Excess Sulfur Deposition Above Critical Loads (high growth coal scenario A2 ca. 2020)
Sulfur Deposition
(gS/m2)
Europe, ca. 1990
China, A2 Projection for 2020
Energy Systems Analysis Arnulf Grubler
Percent losses
Not assessed
No damage
< 10%10 - 33%33 - 75%
> 75%
A2 Acidification Impacts on Food Production Loss
Energy Systems Analysis Arnulf Grubler
World – Sulfur Emissions by Region (cumulative, MtS)
Energy Systems Analysis Arnulf Grubler
European Sulfur Emission Reductions (MtS)
Energy Systems Analysis Arnulf Grubler
S/C Emissions Ratio vs. Affluence (Sulfur Peak)Korea: 1975 at 3,000 $/cap UK, GER: 1965 at 10,000 $/cap
Japan
Energy Systems Analysis Arnulf Grubler
Environmental Problems of Energy
3: Affluence, deep uncertainty, globalization
Energy Systems Analysis Arnulf Grubler
Atmospheric CO2 Concentration at Mauna Loa (IPCC, 1995)
Energy Systems Analysis Arnulf Grubler
Energy-related Carbon Emissions by Region
Energy Systems Analysis Arnulf Grubler
IPCC Projected Temperature Change in Absence of Climate Policies
Uncertainty:50 % climate (sensitivity) modeling25% emissions (POP+GDP influence)25% emissions (TECH influence)
Energy Systems Analysis Arnulf Grubler
Energy – Environment Strategiesxxxxxxxxxxxxxxxxxxxxxxx
Energy Systems Analysis Arnulf Grubler
Improvements in Efficiency and Decarbonization: Diverse Paths
Energy Systems Analysis Arnulf Grubler
Policy Trade-offs: No Single Energy Hammer for All
Environmental Nails
• Incremental (fast) radical (slow)• Partial (fast, cheap) 100% solutions• Add-ons (reinstating dominance of old)
New systems (new tech + infra +…)• Single-purpose (carbon)
multi-purpose (efficiency)• Local (100 flowers, fragmented)
Global (uniform, complete coverage)• Solving one problem, BUT creating a new one