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Moving Multi-Pollutant Planning Forward. Jason Rudokas EAG Meeting June 11, 2010. Planning Challenges for Coming Decade. We have achieved great success in dramatically reducing emissions of lead, CO, ozone & acid rain These successes are tempered by: - PowerPoint PPT Presentation
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Jason Rudokas
EAG Meeting
June 11, 2010
Moving Multi-Pollutant Planning Forward
2
Planning Challenges for Coming Decade
• We have achieved great success in dramatically reducing 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 gases– awareness of impacts of cumulative exposures and
synergistic effects– potential for exacerbating one problem while addressing
another
• GHG agenda implies virtual elimination of air pollutants associated with combustion
3
Planning Needs for the Coming Decade
• Move to holistic multi-pollutant planning approach
• Simultaneously meet short- and long-term objectives (e.g. air quality and climate)
• Account for potential trade-offs• Expand scope to include social and economic
considerations
4
Our Definition of Multi-Pollutant Multi-Pollutant PlanningPlanning
• 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
5
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
6
6
This is a New Planning ParadigmThis is a New Planning Paradigm
• Is a broader, longer term multi-pollutant planning process from which multiple SIPs and plans can be developed
• The SIP is no longer the sole driver, but one of several drivers and derivative products
• Requires working with/aligning multiple state offices in joint data development and planning to identify solutions that meet multiple needs
7
Proof of Concept for NESCAUM’s Multi-Pollutant Policy Analysis Framework
• NESCAUM has 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 to atmospheric dispersion, macro-economic, & public health assessment models
8
NESCAUM’s Multi-Pollutant Policy Analysis Framework
NE-MARKAL Energy Model
Evolution of Energy SystemEvolution of Energy System
12-State REMIEconomic Model
KeyEconomic Indicators
CMAQAir Quality Model
emiss
ions
emiss
ions
expendituresexpenditures
Wet/DryDeposition
Ambient Concentrations
BenMAPHealth Benefits Assessment
Health EffectsIncidence and Cost/Benefit
Goals & Policies
9
Scale and Scopeof NESCAUM’s MPAF tool
• Regional Integrated Assessment: 12 state-level models linked into a regional framework (never been done regionally outside EU)
• State-level Planning: analytical tools are based on individual states
• Individual Regulations: bottom-up approach ties model results directly to regulatory specifications
10
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
11
The following results are preliminary, and are intended only to illustrate model capabilities.
12
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
Reference Power Sector Generation MixReference Power Sector Generation Mix RPS Power Sector Generation MixRPS Power Sector Generation Mix
0
100
200
300
400
500
600
700
2002 2005 2008 2011 2014 2017 2020 2023 2026 2029
tBT
U
Coal Gas Hydro Nuclear Oil Renewable
State RPS: 25% by 2013
0
100
200
300
400
500
600
700
2002 2005 2008 2011 2014 2017 2020 2023 2026 2029
tBT
U
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% 6.3%
(RPS)
2029 Renewable Generation Breakout ( tBTU , % )
33, 44%
9, 11%7, 9%
28, 36%
On Shore Wind
Off Shore Wind
MSW
BiomassGasification
Biomass DirectCombustion
Preliminary Results – Draft – Do not quote or cite
13
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 NYREF (2008 $US)
Change in capital costs
Change in fixed & variable costs
Change in fuel costs
Annual
(2029)
+$1.1 B
(2.2 times REF)
+$75 M
(+3.1%)
-$1.1 B
(-20%)
Cumulative
(2008-2029)
+$20 B
(2.6 times REF)
+$1.5 B
(+2.6%)
-$15 B
(-13%)
Emission Changes relative to NYREF
CO2
(Million Tons)
NOx
(Thousand Tons)
SO2
(Thousand Tons
Hg
(lbs)
Annual
(2029)
-12
(-18%)
-2.5
(-6.3%)
-1.5
(-1.1%)
-11
(-0.8%)
Cumulative
(2007-2030)
-180
(-12%)
-47
(-4.5%)
-25
(-0.7%)
-120
(-0.3%)
-250
-200
-150
-100
-50
0
50
100
Co
al
Ga
s
Hy
dro
Nu
cle
ar
Oil
Re
ne
wa
ble
GW
-1800
-1300
-800
-300
200
700
1200
Co
al
Gas
Hyd
ro
Nu
clea
r
Oil
Ren
ewab
le
tBT
U
State RPS: 25% by 2013
Preliminary Results – Draft – Do not quote or cite
14
0
50
100
150
200
250
300
2002 2005 2008 2011 2014 2017 2020 2023 2026 2029
MV
MT
0
50
100
150
200
250
300
2002 2005 2008 2011 2014 2017 2020 2023 2026 2029
MV
MT
14
60% of LDV fleet to electric vehicle by 2029
by Vehicle Categoryby Vehicle Category by Vehicle Categoryby Vehicle Category
Time Integrated Change Time Integrated Change between 2007 and 2030between 2007 and 2030
LDV Technology Deployment - ReferenceLDV Technology Deployment - Reference LDV Technology Deployment - EVLDV Technology Deployment - EV
-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
HYDROGEN FUEL CELL
GAS HYBRID
ELECTRIC VEHICLE
E85 ETHANOL
CONVENTIONAL GAS
CONVENTIONAL DIESEL
CNG VEHICLES
Preliminary Results – Draft – Do not quote or cite
1515
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 NYREF (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 NYREF
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%)
Preliminary Results – Draft – Do not quote or cite
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
60% of LDV fleet to electric vehicle by 2029
Cost Changes relative to NYREF (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 NYREF
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
Preliminary Results – Draft – Do not quote or cite
17
NE-MARKAL Brings it All Together
• RPS (currently use IPM?)• EV (currently use MOBILE or MOVES + IPM?)• What about a “Combination Run”?
– 25% RPS by 2013– 25% fleet EV by 2030– 25% fleet Hybrid by 2030– + Energy Efficiency– + CHP– + Low Sulfur Fuel
18
NE-MARKAL Brings it All Together: 2007-2030 Cumulative Emissions Reductions
-50%
-40%
-30%
-20%
-10%
0%
10%
RPS EV ComboElectric Sector
Net Emission Impact
R/C/I Sector
Transportation Sector
+
+
-50%
-40%
-30%
-20%
-10%
0%
10%
RPS EV Combo
-50%
-40%
-30%
-20%
-10%
0%
10%
RPS EV Combo
-50%
-40%
-30%
-20%
-10%
0%
10%
RPS EV Combo
Analysis of a large EV program would provide detailed information on vehicle technologies, fuel use, and emissions.
A follow-up analysis could analyze the power sector impacts
This could be done with tools like MOBILE or MOVES in combination with IPM or other power sector models
RPS analysis provides detailed power sector information on technology deployment, costs, and emission impacts.
This could be done with tools like IPM or other power sector models
Preliminary Results – Draft – Do not quote or cite
CO2 Hg NOx SO2
19
NE-MARKAL Brings it All Together: 2007-2030 Cumulative Costs/Savings
Electric Sector
Net Cost Impact
R/C/I Sector
Transportation Sector
+
+
-100-50
050
100
RPS EV Combo
Bill
ion
$U
SD
(20
08)
-100-50
050
100
RPS EV Combo
Bill
ion
$U
SD
(20
08)
-100-50
050
100
RPS EV Combo
Bill
ion
$U
SD
(20
08)
-100-50
050
100
RPS EV Combo
Bill
ion
$U
SD
(20
08)
Analysis of a large EV program would provide detailed information on vehicle technologies, fuel use, and emissions.
A follow-up analysis could analyze the power sector impacts
Transportation sector costs CAN NOT be examined with tools like MOBILE or MOVES or with IPM or other power sector models
RPS analysis provides detailed power sector information on technology deployment, costs, and emission impacts.
This could be done with tools like IPM or other power sector models
Preliminary Results – Draft – Do not quote or citeFuel
O&M
Cap Invest
20
NE-MARKAL: Evolution of Energy System
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
EntireEntire
$
TechnologyCosts
New PowerInfrastructure
Fuel Savings
EmissionsEmissions
Multi-sectorEmissions;(cross-sectoremissions tradeoffs)
Upstream Emissions
21
Ozone SIP
Acid Dep Plan
Many Potential Products
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
22
How to Move Forward?
• As states?• As a region?• Partnering with EPA?• Other?
The time is ripe to proceed, given the current landscape (e.g., EPA administration, new NAAQS, federal and states’ climate goals)
23
THANK YOU