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Low-Carbon Electricity Scenarios for the South: An ... · NEMS is Used to Model CPP’s Compliance...
Transcript of Low-Carbon Electricity Scenarios for the South: An ... · NEMS is Used to Model CPP’s Compliance...
Low-Carbon Electricity Scenarios for the
South: An Assessment of Costs & Options
By: Dr. Marilyn A. Brown
(With assistance from Gyungwon
Kim, and Alex Smith)
Georgia Institute of Technology
Workshop on The Future of
Electric Power in the South
April 3, 2015
NERC Regions in the South
(NERC=North American ElectricityReliability Corporation)
1
Research Questions
What are are the likely costs of compliance with the
Clean Power Plan in the South and the nation?
How much do these costs vary across regions in the
South?
What are the least-cost compliance options in the
South vs. the nation?
Would a regional approach to compliance have merit?
What do our results suggest for choosing between
mass- versus rate-based goals?
What can we deduce about the potential operation of a
trading system for carbon emissions credits in the
South?
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Methodology
3
NEMS is Used to Model CPP’s
Compliance Costs and Options
NEMS (National Energy Modeling System) is a general equilibrium
model that is used by the U.S. Energy Information Agency to forecast
domestic energy trends.
Geographic resolution for the electricity module: 22 NERC
“NEMS projects the production, imports, conversion, consumption,
and prices of energy, subject to:
assumptions on macroeconomic and financial factors,
world energy markets,
resource availability and costs,
behavioral and technological choice criteria,
cost and performance characteristics of energy technologies, and
demographics.”
--Source: EIA 2009 NEMS Overview
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(1) The Cost of Compliance:
Estimated with Variable Carbon Fees
• We modify GT-NEMS to model various levels of fees
levied on the carbon content of fossil fuels in the electric
power sector.
Three fees are studied: $10, $20, and $30/metric tons of CO2
In 2012 dollars
Applied in 2020 and operating through 2040
• The fee needed to achieve a goal is one way to
estimate compliance costs.
• NEMS operates with foresight, so changes in response
to the carbon fee begin earlier than 2020.
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• LBNL’s tracking of solar PV prices* was used to assess
solar PV equipment costs in the NEMS Reference Case.
• We use EIA’s low-cost renewable side case that
assumes 20% lower equipment costs for residential and
commercial solar PV compared with the reference case,
which is in strong accord with LBNL’s projections.
• We reduce NEMS’ Reference case costs for utility-scale
systems by 36% to reflect LBNL’s projections because
NEMS estimates are higher.
• These cost reductions are assumed to begin in 2014.
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(2) We Also Updated Solar Costs in the
NEMS Model
* Source: Barbose et al. (2014) “Tracking the Sun VII: An Historical Summary of the Installed Price of Photovoltaics in the United States from 1998-2013, Lawrence Berkeley National Laboratory
(3) An Integrated Energy-Efficiency
Case is also Modeled
• We employ the assumptions of EIA’s High Demand
Technology Side Case
Advanced equipment is available earlier, at lower costs, and/or at higher efficiencies
Stricter building codes…
• Stronger appliance and equipment standards
• Lower costs and extended tax credits for industrial CHP
• Increased energy efficiency in five manufacturing
sectors
• These changes are introduced throughout the planning
period, some beginning in 2014, others later.
7Note: For more information: http://cepl.gatech.edu/drupal/node/88
(4) EPA’s Mass- and Rate-based Goals
are Averaged for 7 NERC Regions
• Plant-based CO2 emissions data for 2012 are used to
weight the state 2030 goals of the Clean Power Plan.
• The proportioning method uses NEMS “EMMDB” data to
estimate state-by-state emissions from existing power
plants.
• It produces an acceptably small level of deviation from the
2012 CO2 emissions to the EPA’s 2012 baseline data and
EIA’s SEDS state data.
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How Emission Rates Are
Calculated
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CO₂ Emissions from Affected
Fossil Sources (lb)
MWh Generation by Affected Fossil
Sources
MWh of Nuclear Under
Construction and “At Risk”
MWh of Non-Hydro
Renewables + Incremental
Hydro
MWh of Energy Efficiency Beyond
Business-as-Usual
Regional Results
10
450
550
650
750
850
950
1050
1150
2005 2010 2015 2020 2025 2030 2035 2040
South
Reference$10 Fee$20 FeeUpdated Solar CostIntegrated EE$10 Fee + EE + Solar$20 Fee + EE + Solar$30 Fee + EE + Solar
1000
1200
1400
1600
1800
2000
2200
2400
2600
2005 2010 2015 2020 2025 2030 2035 2040
Mill
ion
To
ns
of
CO
2
Nation
CO2
Reduction Compliance Costs
Appear to be Higher in the South
11= Mass-based goal for existing affected and new sources
• National CO2 mass goal for existing + new sources could be met with a
$15 Fee + EE + Solar scenario.
• A $35 Fee + EE + Solar approach is needed to meet the average mass
goal in the South.
$15 Fee + EE + Solar
$35 Fee + EE + Solar
Rate-Based Goals are Less Costly than
Mass-Based Goals in the South
Mass-Based Goals Appear to be More
Difficult to Meet
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Performance with Respect to CPP Goals for 2030 Based on the $20 Fee+EE+Solar Scenario
Mass-Based Goals (Existing & New Units)
RegionFalls Short
RegionMeets
RegionExceeds
Rate-BasedGoals
(Existing Units Only)
Exceeds SRVC “The Nation
Meets“The South”
SRSE, SRDA, SRCE,
FRCC, SPPS
Falls Short TRE
9350
9400
9450
9500
9550
9600
9650
9700
9750
Reference 2030 $10 Fee $20 Fee Low Solar Integrated EE $10 Tax + EE +Solar
$20 Tax + EE +Solar
Bill
20
05
$
U.S. Value of Industrial Shipments in 2030
21000
21050
21100
21150
21200
21250
21300
Reference2030
$10 Fee $20 Fee Low Solar Integrated EE $10 Tax + EE+ Solar
$20 Tax + EE+ Solar
U.S
GD
P P
roje
ctio
ns
in B
ill 2
00
5$
GDP Projections for 2030
GDP: Shrinks with Carbon Fee;
Grows with EE and Updated Solar Costs
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0
500
1000
1500
2000
2500
2012 2030 2012 2030 2012 2030 2012 2030
Reference $10 Fee Updated Solar Cost $10 Fee+EE+Solar
Bill
kW
h
South
Efficiency Renewables Nuclear Natural Gas Petroleum Coal
0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
2012 2030 2012 2030 2012 2030 2012 2030
Reference $10 Fee Updated SolarCost
$10 Fee+EE+Solar
Bill
kW
h
United States
76%
19%
24%
-55%
15%
98%
20%
22%
7%
-57% -55%
12%
10%
19%
207%
-68%
-22%
-4%
19%
124%
44%
1%
25%
-14%
12%
53%
2%
24%
6%
-16% -15%
9%
10%
1%
85%
-31%
-20%
1%
1%
48%
• In the $10Fee + EE + Solar scenario: EE, natural gas and renewable energy would grow Renewable energy and nuclear would expand more in the South than
the U.S. Coal would decline rather than expand
What are the Least-Cost Carbon
Reduction Options: U.S. vs South?
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TRE
SPPS
SRSE
FRCC
SRVCSRCE
SRDA
Fuel Changes by NERC Region (Bill kWh)
With a $10 Fee + EE + Solar:• EE grows in all regions• SRCE & SRVC: Nuclear displaces
coal; NG & RE grow• SRDA & SRSE: RE displaces coal
and nuclear is steady • FRCC: Nuclear & RE displaces
coal and NG.• TRE: RE grows • SPSS: RE & NG displace coal
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0
20
40
60
80
100
120
140
160
180
2012 2030 2012 2030 2012 2030 2012 2030
Reference $10 Fee Updated SolarCost
$10Fee+EE+Solar
Bill
kW
h
SPPS
-50
0
50
100
150
200
250
300
350
400
2012 2030 2012 2030 2012 2030 2012 2030
Reference $10 Fee Updated SolarCost
$10Fee+EE+Solar
SRVC
-50
0
50
100
150
200
250
300
2012 2030 2012 2030 2012 2030 2012 2030
Reference $10 Fee Updated SolarCost
$10Fee+EE+Solar
SRCE
0
50
100
150
200
250
300
350
2012 2030 2012 2030 2012 2030 2012 2030
Reference $10 Fee Updated SolarCost
$10Fee+EE+Solar
Bill
kW
h
SRSE
020406080
100120140160180200
2012 2030 2012 2030 2012 2030 2012 2030
Reference $10 Fee Updated SolarCost
$10Fee+EE+Solar
SRDA
-50
0
50
100
150
200
250
300
2012 2030 2012 2030 2012 2030 2012 2030
Reference $10 Fee Updated SolarCost
$10Fee+EE+Solar
FRCC
0
50
100
150
200
250
300
350
400
450
2012 2030 2012 2030 2012 2030 2012 2030
Reference $10 Fee Low PV Cost $10Fee+EE+Solar
BIl
l kW
h
TRE
0
100
200
300
400
500
600
700
800
900
1000
2012 2030 2012 2030 2012 2030 2012 2030
Reference $10 Fee Updated Solar Cost $10 Fee + EE + Solar
Bill
kW
h
United States
0
50
100
150
200
250
300
2012 2030 2012 2030 2012 2030 2012 2030
Reference $10 Fee Updated Solar Cost $10 Fee + EE + Solar
Bill
kW
h
South
Wind
Solar PV
Solar Thermal
Biomass
Biogenic Municipal Waste
Geothermal
Hydro
Least-Cost Renewable Energy
Options Vary Across Regions
• Nation: solar PV, biomass, geothermal, and wind would grow significantly
• South: solar PV and biomass would grow significantly (hydro slightly)
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Rate-Based Constraint
Mass-Based Constraint
Large growth of renewables
High Imports
Large EE programs
Low growth
Limited growth of renewables
High Exports
Small EE programs
High growth
High exports of fossil-based power would penalize the source state for associated emissions; therefore rates would be better.
Large EE programs will offset mass emissions, but may not improve rates if reductions are balanced across the portfolio; therefore mass goals would be better.
High growth could lead to new natural gas capacity and hence more CO2 emissions, which would put pressure on the state’s mass goal; rates would be better.
A large addition of new clean energy would likely displace fossil power and therefore reduce mass emissions.
Mass- Versus Rate-Based Goals:
Some Preliminary Thoughts
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State-by-State Compliance Regional
Compliance
Mass-based goals across neighbors
High political trust of neighboring states
Capacity to establish a trading program
Heterogeneous compliance costs
No cross-state parent utility company
Low political trust of neighboring states
Limited capacity establish a trading program
Homogeneous compliance costs
No excess clean capacity and little experience to expand it quickly would lead to state approach.
Heterogeneous compliance costs mean there is an opportunity for efficiency gains through cross-state trading.
If compliance costs are similar across states, the motivation to trade is reduced.
Trading systems and regional accords require legal & other capabilities, facilitated by cross-state parent company.
Trading requires some minimal level of trust; more challenging without a cross-state parent company.
To date, carbon trading programs have mostly been mass-based.
State-by-State vs Regional Compliance
Approach: Some More Preliminary Thoughts
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For More Information*
Marilyn A. BrownBrook Byers Professor of Sustainable SystemsSchool of Public PolicyGeorgia Institute of TechnologyAtlanta, GA [email protected]
Research Assistants:
Gyungwon [email protected]
Alexander Smith [email protected]
Climate and Energy Policy Lab: http://www.cepl.gatech.edu
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*Thanks to the Strategic Energy Institute at Georgia Tech for
supporting this initiative.
Comparison of Mass- and Rate-
Based CO2
Reduction Goals
Sources: 2012 Emissions - EPA State CO2 Emissions, http://epa.gov/statelocalclimate;
2030 Goals - EPA Fact Sheet, http://www2.epa.gov/carbon-pollution-standards/fact-sheet-
clean-power-plan-technical-support-document#print 21
NationSouth
FRCC (FL)
SPPS
SRCE
SRDA
SRSE
SRVCTRE (TX)
AL
ARGA
KY
LA
MSNC
OK
SC
TNVA
0%
10%
20%
30%
40%
50%
60%
0% 5% 10% 15% 20% 25% 30% 35%
% C
O2
Red
ucti
on
s R
eq
uir
ed
by
Rate
-ba
sed
Go
als
(f
rom
Exis
tin
g o
nly
): 2
012 a
nd
2030
% CO₂ Reductions Required by Mass-based Goals (from Existing and New Units): 2012 and 2030
Mass and rate goals generally track one another.Virginia and Tennessee are “outliers” with higher
High Nuclear
High Coal