application: res-e promotion 1. policy background 2. efficiency considerations 3. numerical...
TRANSCRIPT
Application: RES-E Promotion
1. Policy Background
2. Efficiency Considerations
3. Numerical Framework (ELEC-MR)
4. Policy Analysis
1. Policy Background
• Two strategies to promote RES-E in Europe:
- Feed-in tariff systems with differentiated (technology-specific) subsidies
- Quota obligations with trade (TGCs:= tradable green certificates)
Alternative RES-E Promotion Schemes
Feed-in tariffs
Key question: Price tag for additional objectives than greening of electricity (additional costs of differentiated feed-in)?
Green quotas
+ Flexibility (easily adjustable)
+ Low risk for investors
+ Serves additional targets
(industrial / regional policy goals)- Demands „well informed“ regulation- Danger of over-funding (rent seeking)- Potentially high excess costs
+ Little information requirements
+ Efficient de-centralized mechanism
- Risk and uncertainties about future
market developments
- „Hurdles“ for infant technologies
2. Efficiency Considerations
Uniform feed-in tariff
(eq. regional quota)Diversified feed-in tariff
Additional Cost of Diversified Feed-In
3. Numerical Framework
ELEC-MR: Basic Model Structure
Supply
Company 1
Company 2 . . . Company n
Region 2
Region r
Residential demand - Base-load - Peak-load
Industrial demand - Base-load - Peak-Load
Residential demand - Base-load - Peak-load
Industrial demand - Base-load - Peak-Load
Supply
Company 1
Company 2 . . . Company n
Region 1
T
• Static (short-term) representation of EU electricity markets
• Cournot competition among EU power companies
ELEC-MR: Parametrization
• 23 countries (EU-25 without Malta and Cyprus)
• 1160 power plants
– 11 representative technologies
– Detailed bottom-up Information on costs
• 210 companies
Supply:
• 23 countries (EU-25 without Malta and Cyprus)
• Residential and industrial electricity demand
– Load-specific demand pattern (base, peak)
– Elastic demand (demand elasticities for 4 segments: industrial-base, industrial-peak, residential-base, residential-peak)
Demand:
4. Policy Analysis
Illustrative Policy Scenarios
Results (1): EU Technology Mix
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
BaU FEED_D FEED_H QUOTA_R QUOTA_EU
Share in total production [in %]
Nuclear Soft Coal and Lignite Hard Coal Natural Gas
Fuel Oil Hydro Biomass Wind
Solar Other RES
Results (2): RES-E Mix
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
FEED_D FEED_H QUOTA_R QUOTA_EU
Share in total RES-E production [in %]
Hydro power Solid Biomass Other Biomass Waste
Solar PV and Solarthermal Wind onshore Wind offshore Other RES-E
Results (3): Economic Indicators