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Big Decisions: African Energy Futures
Channing Arndt
Outline
• Africa, mitigation pathways, and South Africa
• Regional approaches to electricity generation
• An integrated approach to energy modeling for South Africa
Emissions Paths for a Stable Climate(from IPCC AR5 WGIII)
• To achieve a 50% chance of stabilizing temperature increase below 2 degrees Celsius, global emissions must decline by between 25 and 55 percent by 2050 and then continue to decline rapidly thereafter.
• Hence, even if the countries of the OECD in 1990 eliminated emissions by 2050, the rest of the world must, at a minimum, hold emissions levels essentially constant in order to attain the lower end of the reduction range by 2050.
• This lower end is associated with negative emissions (net CO2 sequestration) in the second half of the 21st century.
Global emissions and energy use in 2007
4
Global CO2emissions
share (%)
Emissions per
person
(tons CO2)
Energy use
per person
(tons)
CO2 per ton
energy use
(tons)
World 100 4.5 1.8 2.5
Developed countries 46.6 12.5 5.2 2.4
United States 19.7 19.3 7.8 2.5
Euro area 9.0 8.2 3.8 2.2
Russian Federation 5.2 10.8 4.7 2.3
Japan 4.2 9.8 4.0 2.4
Finland 0.2 12.1 6.9 1.8
Developing countries 53.4 2.9 1.1 2.7
China 22.1 5.0 1.5 3.3
India 5.5 1.4 0.5 2.7
South Africa 1.5 9.0 2.8 3.2
Mozambique 0.01 0.1 0.4 0.3
Source: Davies et al (2011).Notes: Energy Use is measured in tons of oil equivalents.
South Africa:Cutting Carbon Emissions
• Africa’s largest electricity user (85%, mainly coal-fired)– High per capita emissions (9.3 tCO2)
– Target: 40% reduction relative to baseline by 2030
0
10
20
30
40
50
60
2010 2015 2020 2025 2030
New
syst
em c
apac
ity (G
W)
New renewables
New nuclear or gas
New coal
Committed investments
Total cost:
US$108 bil.
0
10
20
30
40
50
60
2010 2015 2020 2025 2030
Total cost:
US$171 bil.
Business-as-usual plan Low-emissions plan
Source: IRP2 (2011)
Issues with the Plans
• Electricity generation only accounts for about half of CO2 emissions in South Africa– See Alton et al. (2014) Applied Energy
• Forecasts assume a fixed electricity demand projection– No feedback effects from higher prices (e.g., slower growth in demand)
– Might lead to overinvestment
• Maintained electricity import restrictions– Only about 15% of total supply can be imported
– Underutilized regional low-cost, low-carbon options
Hydro-power and potential in Africa
How much hydro potential has Africa developed?
Grand Inga is very big
• Roughly twice the power output of the Three Gorges dam on the Yanghtze.
• More firm power output expected than current total South African demand.
• A relatively small reservoir. Largely a “run of the river” dam.
• Total project costs are approximately USD80 billion divided equally between generation and transmission.
• South Africa is likely not large enough to absorb Grand Inga by itself.
Coharra Bassa(2.1 MW of capacity)
Inga I and II(1.8 MW of capacity)
Inga Falls
A Pan African Grid?
An Integrated Approach to Energy Modelling in South Africa
Channing Arndt, Rob Davies, Sherwin Gabriel, Konstantin Makrelov, Bruno Merven and Faaiqa Salie, and James Thurlow
Economic Model (SAGE)
• Standard IFPRI Recursive Dynamic Model– Past investment and profitability determines capital accumulation rates
– Upward sloping labor supply curves
• Additional features:– Electricity investments amortized via electricity tariffs (+O&M costs)
– Energy coefficients are a function of energy prices and investment funds
• 2007 SAM merged with 2007 Energy Balance Table– 62 sectors; 49 products; 9 factors; 14 representative households
– Detailed energy subsectors (fuel and power)
– See Arndt et al. (2012) SAJE; Davies and Thurlow (2014) IFPRI SAM
Energy Model (SATIM)
• Version of TIMES– Inter-temporal bottom-up
partial equilibrium model
– Only use power component
• Solves for least-cost power plant mix – Subject to constraints (i.e.,
electricity demand; reserve margins; and resource limits)
– Given system parameters (i.e., load curves; fuel prices; existing plants; new plant options)
Coal-fired
Nuclear
Hydropower
Solar (PV)
Solar (thermal)
Wind
Gas-fired
Diesel
Imports
Coal-to-liquid
Gas-to-liquid
Refined oil
Gas
Coal
Crude oil
Electricity
Petroleum
Iterative Integration
SAGE
SAGE
SATIM
SAGE
SATIM
2010 2020 2030 20402007
2010
2020
2030
Forecast period in annual time steps
Iter
ati
ve c
ou
ple
d
run
s
Committed Forecast Extended
SAGE
SATIM
Electricity production mix
Final electricity price
Plant construction investment costs
Electricity demand
Fossil fuel prices
Convergence
480
490
500
510
520
530
540
550
560
2006 2010 2014 2018 2022 2026
Ele
ctri
city
dem
an
d i
n 2
03
0 (
GW
h)
Year of coupled run
Coupled runs every year
Coupled runs two years
Coupled runs every four years
Baseline
Carbon Tax
Three Policy Scenarios
Baseline– Tracks “business-as-usual” scenario (Alton et al. 2014 Applied Energy)
1. Carbon tax – US$30 per ton of CO2 from domestic burning fossil fuels
– Gradually introduced over 2015-2024
– Recycle revenues by uniformly lowering indirect tax rates
2. Lift import restrictions
3. Combined “tax with imports” scenario
Electricity Demand and Prices
-9
-8
-7
-6
-5
-4
-3
-2
-1
0
1
2
2010 2015 2020 2025 2030 2035
Ch
ang
e fr
om
bas
elin
e (%
)
Carbon Tax
Import policy
Tax with imports
-10
0
10
20
30
40
50
2010 2015 2020 2025 2030 2035
Total demand (GWh) Average price (R/GWh)
Electricity Supply Mix
0
100
200
300
400
500
600
Baseline Baseline Carbon
Tax
Import
policy
Tax with
imports
Baseline Carbon
Tax
Import
policy
Tax with
imports
2010 2025 2035
Ele
ctr
icit
y s
up
ply
(G
Wh
)
Coal Nuclear Renewables Imported Diesal, gas and waste
Emissions Reductions
-25
-20
-15
-10
-5
0
5
2010 2015 2020 2025 2030 2035
Ch
ang
e fr
om
bas
elin
e (%
)
Carbon Tax
Import policy
Tax with imports
13.3
11.4
13.0
10.2
Final per capita tCO2
Economic Outcomes
Baseline Deviation from baseline, 2035
Carbon
Tax
Import
Policy
Tax with
Imports
Cumulative investment cost (US$ bil.) 94.90 19.10 -12.70 -53.80
GDP growth (%) 3.49 -0.98 0.20 0.49
Employment (%) 1.80 -1.56 0.05 -1.07
Wages (%) 1.15 -1.46 0.14 -0.82
Household welfare (%) 1.91 -0.96 0.24 0.61
Low-income (p0-50) 1.93 -1.17 0.24 0.33
Middle-income (p50-90) 1.85 -1.00 0.24 0.53
High-income (p90-100) 1.96 -0.84 0.25 0.79
Conclusions
• Regional energy strategy potentially offers a very inexpensive approach to “decarbonizing” the South African economy– Net present value of emissions avoided of about $20 billion for RSA
• Potential for very substantial positive spillovers– Impetus to create a pan-African grid anchored in hydro-power.
– Favorable to renewable energy sources (likely to be sunny and windy somewhere)
– Spurs regional integration and inter-dependence
• BUT, Much less straightforward than business as usual– Political risk
– Coordination issues
– Need to cope with long and short wave generation/demand variation
• Finance is crucial. Nearly all costs are up front.