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ANALYSES OF SELECTED ENERGY POLICY OPTIONS TO IMPROVE ENERGY SECURITY:
THE CASE OF SRI LANKA
Presented by
G. K. C. Opathella
1
Thesis Committee: Prof. Ram M. Shrestha (Chairperson)
Prof. S. Kumar (Member)
Dr. N. Mithulananthan (Member)
14th May 2008
Outline
2
• Background
• Objectives and Methodology
• What can be expected in future energy system?
• Conclusions
Background-Why Energy Security?
3
Source: Energy Conservation Fund, 2005
• Share of petroleum is increasing (43% in 2005)• Only three main primary energy sources for many years• Few feasible hydro power projects to be developed• Petroleum bill was 1.2 billion US$ (6% of GDP) in 2004 and 2.5
billion in 2007 (7.7% of GDP)• Expected average economic growth rate is 7.4% annually
Objectives• Overall Objective
• Finding policy solutions to improve long term energy security
• Specific Objectives• Developing a long term energy planning model for Sri
Lanka• Identifying the effects of energy supply reduction targets• Analyzing the performance of renewable portfolio
standard policy in order to improve long term energy security
• Analyzing the effects of carbon tax policy for the improvement of energy security
5
How can we approach? (Methodology)
• Overall Methodology
• Reference Energy System
• Reduction Targets and Policies
• Energy Security Indices6
What can we expect in future?
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Without any policy intervention, Sri Lanka is
highly dependent on energy imports. But
correct policies can create considerable difference
Diversification of energy sources can be further Improved with correct
policies such as renewable portfolio
standard
What can we expect in future?
9
Diversification of energy suppliers would improve in future and appropriate
policies can help to improve it further
A drop of economic vulnerability is
expected. Import reduction targets and
RPS policy would reduce it further
Conclusions• Total primary energy reduction targets fail to improve all aspects of energy security
except overall energy intensity and per capita consumption
• Having 80% of energy import reduction target (discussed in EI80), it is possible to improve all the aspects of energy security with 9% increase of total system cost
• Case, RPS25 shows the best performance compared to base case and all RPS cases
• Energy import dependency and vulnerability aspects are improved due to carbon tax. But higher tax levels (higher than level mentioned in CT(60-120)) would not add any extra benefits in terms of energy security.
• Doubling the biomass consumption both in industry and electricity generation sectors is recommended in order to achieve 80% energy import reduction target.
• Apart from the biomass, more than 5% of total primary energy should be supplied by wind electricity generation by 2025 in order to achieve better energy security
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Resource Refining & Conversion Transportation Electricity Generation Transmission & Distribution Demand Sector
Hydro
Coal Import
Gasoline Oil Import
Diesel Import
Kerosene Oil Import
Jet Fuel Import
Fuel Oil Import
LPG Import
Solar
Utilization Device
Figure 6, Figure 7, Figure 8, Figure 9
Figure 11
Agriculture Sector
Residential Sector
Gasoline
Wind
Biomass
Solar PV Plant
CCGT
Existing Small Hydro Plants
Wind Power Plant 1
Figure 4
Enduse Demands
Figure 5
Figure 10
Industry Sector
Commercial Sector
Transport Sector
Crude Oil Imports
Jet Fuel
LPG
Kerosene
Fuel Oil
Diesel
Naphtha
Diesel Engine
CCGT
Diesel Engine
GT
Existing Hydro Plants
Small Hydro Plants 1
Small Hydro Plants 2
Hydro Plants Ginganga
Hydro Plants Moragolla
Hydro Plants Uma Oya
Hydro Plant Brodland
Pulverized Coal Power Plant
IGCC Power Plant with CCS
Atmospheric PFBC Power Plant
Advanced PFBC Power Plant
PFBC Power Plant with CCS
Conventional Coal Power Plant 1
IGCC Power Plant
Conventional Coal Power Plant 2
Wind Power Plant 2
Biomass Plant
CCGTLNG Imports
LNG
Seed Oil
Ethanol
Hydrogen Plant
Reference Energy System Sri Lanka
Overall Methodology
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Long term energy planning model
Model with renewable portfolio standard policy
Model with energy supply reduction targets
Scenario results Scenario results
Special changes
Run the model
Energy security indices
Estimations
Comparison of energy security improvements
Energy and economic data
Model formulation
Energy security indices
Model with carbon tax policy
Scenario results
Conclusions and recommendations for the improvement energy security and further research opportunities
Energy security indices
Results of the sensitivity analysis
Forecasted demand data
Indices• Net Energy Import Ratio (NIER)
NIER = Net Energy Imports
Domestic Supply + Net Energy Imports• Diversity Index (Shannon-Wienier Index)
Where; Si is the share of primary energy of sources i
• Diversification of Primary Energy Demand (DoPED)
• Vulnerability = Expenditure on energy import
Total GDP• Herfindhal Hirschman Index (HHI)
Where; K is the share of primary energy of supplier i
• Energy Intensity(EI), Per capita primary energy consumption(PCPEC), Per capita final energy consumption(PCFEC), Per capita emission (PCE) form energy and demand sectors
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i
ii SLnSD
TPED
OtherBiomassHydroLNGOilCoalDoPED
222222
i
iKHHI 2
Results
• Energy Security in 2035
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Without Any Policy
Primary energy demand reduction
target
Energy import reduction target
Renewable portfolio standard
Carbon tax
Dependency (%) 85 92 62 80 52
Source Diversification
(SWI)1.36 1.19 1.41 1.43 1.36
Supplier Diversification
(HHI)4067 4799 4094 3885 4193
Vulnerability (%) 4.5 5.1 4.3 4.5 4.1
Results of Total Primary Energy Reduction Target Cases
• Under higher reduction targets petroleum consumption is increased. Coal and biomass consumptions are decreased. This is due to high efficiency of petroleum consuming technologies compared to other technologies.
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Percentage Change in Total Undiscounted CostTPEC95 1TPEC90 2TPEC85 4TPEC80 10
Under the energy import reduction targets biomass wind energy supplies are increased. Coal consumption is decreased. Coal is the most inefficient importing energy. Therefore, it drops compared to the base case
Results of Energy Import Reduction Target Cases
Percentage Change in Total Undiscounted CostEI90 7EI80 9EI70 11EI60 13
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Results of RPS Cases
• More wind and biomass power generations are expected under the RPS policy. Demand for coal is decreased. Due to the promotion of renewable energy coal based electricity generation is partly switched to renewable based electricity generation
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Percentage Change in Total Undiscounted CostRPS10 1RPS15 3RPS20 5RPS25 7
Results of Carbon Tax Cases
• Coal has the highest emission factor. Therefore, under the carbon tax policy coal consumption is decreased. Both biomass and wind energy supplies are increased. In higher tax cases biomass supply would reach to maximum level at the end of the planning period
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Percentage Change in Total Undiscounted CostCT(20-40) 10CT(40-80) 18CT(60-120) 25CT(80-160) 31