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Presented By:Arthur Marin, Executive Director
NESCAUM
Presented To:New Jersey Clean Air Council
Annual Public HearingTrenton, NJ
April 14, 2010
Planning for Transformational Change in an Incremental World
2
Planning Challenges for Coming Decade
• Our region & nation have achieved great success in dramatically reducing the threat from airborne emissions of lead, CO, ozone & acid rain
• These successes are tempered by the growing understanding of environmental & public health threats posed by microscopic particles & greenhouse gasses
• Now face challenge of virtually eliminating common air pollutants associated with combustion in order to meet our goals
3
Planning Challenges for Coming Decade
• Transitioning from incremental SIP approach to more holistic, longer-term planning
• Meeting multiple goals & planning horizons• Achieving near-term requirements while
pushing transformational changes • Avoiding short-term decisions that
inconsistent with longer-term needs• Addressing complex air pollution issues within
a framework that includes broad social and economic considerations
4
Scale and Scopeof Air Quality Issues
• Neighborhoods – environmental justice• Intra-regional – Ozone Transport Region• Inter-regional – OTAG, Section 126 petitions• Continental scale – IJC, US-Canada Accords• Intercontinental – PM & ozone• Global – mercury & GHGs
5
The “Drivers” Traditional Air Quality Issues
• Fine particulate matter & ozone– no known threshold for health impacts– EPA required to reassess NAAQS every 5 years
• Mercury– Northeast states already committed to virtual elimination
• Toxics– Benzene and other ubiquitous toxins
• Regional haze / visibility impairment– Congress requires states to develop plans to restore
“pristine” air quality to parks & wilderness areas over long run
6
The “Drivers” Climate Change Mitigation
• Achieving science-based targets (80%) by mid-century
• Will need to fundamentally change the way we produce & use energy, plan our built environment, and live our lives
7
Effective Planning for Complex Problems
• We need to dramatically change the way we conduct air quality planning
• “Stove pipe” approaches will no longer work• NESCAUM has designed an approach to
multi-pollutant planning to help states think more holistically
• Conducted with integrated modeling framework that quantifies environmental, economic & public health impacts
8
Benefits of Multi-Pollutant PlanningMulti-Pollutant Planning
• Addresses multiple pollutants, including SO2, NOX, CO2, and Hg
• Highlights tradeoffs and co-benefits of policy options
• Analyzes the environmental, public health, economic, & energy implications of various pollution control strategies
• Allows for multi-sector analyses
9
Multi-Pollutant Planning Makes SenseMulti-Pollutant Planning Makes Sense
• Strategies & technologies that reduce GHGs can also reduce traditional pollutants
• Can help design cost-effective approaches that minimize burden on industry & maximize the use of state resources
• Can result in better environmental results at lower cost
• Promotes integrated energy & air quality planning
10
Proof of Concept for Multi-Pollutant Policy Analysis Framework
• Have developed NE-MARKAL that covers region from DC to Maine
• MARKAL is a least-cost optimization linear programming model that focuses on energy systems & technologies
• Linked it to atmospheric dispersion, macro-economic, & public health assessment models
• Following results are preliminary & intended only to demonstrate capabilities
11
NESCAUM’s Multi-Pollutant Policy Analysis Framework
NE-MARKAL Energy Model
Evolution of Energy System
12-State REMIEconomic Model
KeyEconomic Indicators
CMAQAir Quality Model
emiss
ions
expenditures
Wet/DryDeposition
Ambient Concentrations
BenMAPHealth Benefits Assessment
Health EffectsIncidence and Cost/Benefit
Goals & Policies
12
NE-MARKAL: Energy & Technology Model
Source: EPA ORD
Uranium
Fossil Fuels
OilRefining & Processing
H2 Generation
Clean Energy
Biomass
Combustion
Nuclear Power
Gasification
RenewableResources
Carbon Sequestration
Industry
Industry
Commercial
Residential
Automobiles
Evolution of Today’s Energy System
13
Reference Case – Power Sector
by Fuel Typeby Fuel Type by Fuel Typeby Fuel Type
Annual Average Growth Rate Annual Average Growth Rate between 2007 and 2030between 2007 and 2030
Annual Average Growth Rate Annual Average Growth Rate between 2007 and 2030between 2007 and 2030
Power Sector Generation MixPower Sector Generation Mix Power Sector Capacity MixPower Sector Capacity Mix
0
100
200
300
400
500
600
700
2002 2005 2008 2011 2014 2017 2020 2023 2026 2029
tBT
U
% Change 2008-2029 Ann. Av. Growth RateCoal 0.0% 0.0%Gas 50.5% 2.0%Hydro 5.8% 0.3%Nuclear 3.4% 0.2%Oil 0.0% 0.0%Renewable -3.1% -0.1%
0
10
20
30
40
50
60
2002 2005 2008 2011 2014 2017 2020 2023 2026 2029
GW
% Change 2008-2029 Ann. Avg Growth RateCoal 0.1% 0.0%Gas 34.4% 1.4%Hydro 3.9% 0.2%Nuclear 0.0% 0.0%Oil 0.0% 0.0%Renewable 0.7% 0.0%
Coal Gas Hydro Nuclear Oil Renewable
14
0
50
100
150
200
250
300
2002 2005 2008 2011 2014 2017 2020 2023 2026 2029
MV
MT
0
200
400
600
800
1,000
1,200
1,400
2002 2005 2008 2011 2014 2017 2020 2023 2026 2029
tBT
U
14
Policy Scenario: 60% of LDV fleet to electric vehicle by 2029
by Fuel Typeby Fuel Type by Vehicle Categoryby Vehicle Category
Time Integrated Change Time Integrated Change between 2007 and 2030between 2007 and 2030
Time Integrated Change Time Integrated Change between 2007 and 2030between 2007 and 2030
Transportation Energy ConsumptionTransportation Energy Consumption LDV Technology DeploymentLDV Technology Deployment
-2500
-2000
-1500
-1000
-500
0
500
1000
1500
2000
2500
CN
G
Die
se
l
Ele
ctric
ity
Eth
an
ol
Ga
so
line
Hy
dro
ge
n
tBT
U
-400
-300
-200
-100
0
100
200
300
400
CN
G V
EH
ICL
ES
CO
NV
EN
TIO
NA
LD
IES
EL
CO
NV
EN
TIO
NA
LG
AS
E8
5 E
TH
AN
OL
EL
EC
TR
ICV
EH
ICL
E
GA
S H
YB
RID
HY
DR
OG
EN
FU
EL
CE
LL
MV
MT
1515
Policy Scenario: 60% of LDV fleet to electric vehicle by 2029LDV Transportation Sector Cost BreakoutLDV Transportation Sector Cost Breakout
LDV Transportation Sector Emissions ChangesLDV Transportation Sector Emissions Changes
Cost Changes relative to reference
(2008 $US)
Change in capital costs
Change in fixed costs
Change in fuel costs
Annual
(2029)
+$18B
(+35%)
-$1.8 B
(-22%)
-$10 B
(-52%)
Cumulative
(2007-2030)
+$120 B
(+13%)
-$15 B
(-8.7%)
-$90 B
(-20%)
Emission Changes relative to reference
CO2
(Million Tons)
NOx
(Thousand tons)
SO2
(Tons)
CO
(Thousand tons)
VOC
(Thousand tons)
CH4
(Thousand tons)
Annual
(2029)
-42
(-43%)
-110
(-40%)
-850
(-22%)
-1,500
(-65%)
-80
(-61%)
-4.2
(-73%)
Cumulative
(2007-2030)
-320
(-14%)
-840
(-14%)
-6,900
(-6.5%)
-11,700
(-22%)
-600
(-19%)
-28
(-20%)
16
0
100
200
300
400
500
600
700
800
2002 2005 2008 2011 2014 2017 2020 2023 2026 2029
tBtu
0
100
200
300
400
500
600
700
800
2002 2005 2008 2011 2014 2017 2020 2023 2026 2029
tBtu
16
Electricity Generation by Fuel Type
Reference CaseReference Case EVEV
Policy Scenario: 60% of LDV fleet to electric vehicle by 2029
Cost Changes relative to reference (2008 $US)
Change in capital costs
Change in fixed costs
Change in fuel costs
Annual
(2029)
+$174 M
(+29%)
+$108 M
(+6%)
+1.9 B
(+23%)
Cumulative
(2007-2030)
+$2 B
(+20%)
+$1.2 B
(+3%)
+$19 B
(+12%)
Emission Changes relative to reference
CO2
(Million Tons)
NOx
(Thousand Tons)
SO2
(Thousand Tons)
Hg
(lbs)
Annual
(2029)
+16
(+25%)
+4
(+12%)
+2
(+2%)
+86
(+2%)
Cumulative
(2007-2030)
+170
(+12%)
+51
(+5%)
+60
(+2%)
+800
(+2%)
Coal Gas Hydro Nuclear Oil Renewable
17
0
10
20
30
40
50
60
2002 2005 2008 2011 2014 2017 2020 2023 2026 2029
GW
0
100
200
300
400
500
600
700
2002 2005 2008 2011 2014 2017 2020 2023 2026 2029
tBT
U
Policy Scenario: State Renewable Portfolio Standard
by Fuel Typeby Fuel Type by Fuel Typeby Fuel Type
Power Sector Generation MixPower Sector Generation Mix Power Sector Capacity MixPower Sector Capacity Mix
Annual Average Growth Rate Annual Average Growth Rate between 2007 and 2030between 2007 and 2030
Annual Average Growth Rate Annual Average Growth Rate between 2007 and 2030between 2007 and 2030
Coal Gas Hydro Nuclear Oil Renewable
Reference Case CCoal 0.0% 0.0%Gas 1.4% 1.0%Hydro 0.2% 0.3%Nuclear 0.0% 0.0%Oil 0.0% 0.0%Renewable 0.0% 5.8%
Reference Case CCoal 0.0% 0.0%Gas 2.0% 0.6%Hydro 0.3% 0.5%Nuclear 0.2% 0.2%Oil 0.0% 0.0%Renewable -0.1% 5.2%
18
Policy Scenario: State Renewable Portfolio Standard
Net Generation Change 2007-2030 Relative to ReferenceNet Generation Change 2007-2030 Relative to Reference
Net Capacity Change 2007-2030 Relative to ReferenceNet Capacity Change 2007-2030 Relative to Reference
Power Sector Cost BreakoutPower Sector Cost Breakout
Power Sector Emissions ChangesPower Sector Emissions Changes
Cost Changes relative to reference (2008 $US)
Change in capital costs
Change in fixed & variable costs
Change in fuel costs
Annual
(2029)
+$1.0 B
(1.3 times REF)
+$89 M
(+4.5%)
-$1.2 B
(-25%)
Cumulative
(2008-2029)
+$19 B
(1.4 times REF)
+$1.8 B
(+3.9%)
-$17.4 B
(-18%)
Emission Changes relative to reference
CO2
(Million Tons)
NOx
(Thousand Tons)
SO2
(Thousand Tons
Hg
(lbs)
Annual
(2029)
-11
(-17%)
-3.2
(-8.6%)
+1.1
(+0.8%)
+5.8
(+0.4%)
Cumulative
(2007-2030)
-190
(-13%)
-57
(-6%)
+20
(+0.6%)
+14
(+0%)
-600
-500
-400
-300
-200
-100
0
100
200
300
400
Co
al
Gas
Hyd
ro
Nu
clea
r
Oil
Ren
ewab
le
tBT
U
-80
-60
-40
-20
0
20
40
Co
al
Gas
Hyd
ro
Nu
clea
r
Oil
Ren
ewab
le
GW
19
Ozone SIP
Acid Dep Plan
Bringing it All Together
NE-MARKAL Energy Model
Evolution of Energy System
12-State REMIEconomic Model
KeyEconomic Indicators
CMAQAir Quality Model
emiss
ions
expenditures
Wet/DryDeposition
Ambient Concentrations
BenMAPHealth Benefits Assessment
Health EffectsIncidence and Cost/Benefit
Goals & Policies
IRP
EconomicPlans
PM2.5 SIP
Hg Plan
Haze,etc.
Climate ActionPlan
NOx/SO2
2ndary Std
AQMP
20
THANK YOU