michael kintner-meyer, ph.d

38
Electrification of Transportation from the Electricity Supply’s Perspective Michael Kintner-Meyer, Ph.D. Pacific Northwest National Laboratory Contact: email: [email protected] phone: 509.375.4306 June 7, 2011 PNNL-SA-63585 PNNL-SA-80495

Upload: others

Post on 26-Dec-2021

4 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Michael Kintner-Meyer, Ph.D

Electrification of Transportation from the Electricity Supply’s Perspective

Michael Kintner-Meyer, Ph.D.

Pacific Northwest National Laboratory

Contact: email: [email protected]

phone: 509.375.4306

June 7, 2011

PNNL-SA-63585PNNL-SA-80495

Page 2: Michael Kintner-Meyer, Ph.D

2

What are the Synergies Between Electric Transportation and the Electric Infrastructure?

Electricity Supply

ElectricTransportation

Page 3: Michael Kintner-Meyer, Ph.D

Significant Uptake on Research and General Public Interest on PHEVs Starting in 2006

3

0

200

400

600

800

1000

1200

2004 2005 2006 2007 2008 2009 2010 2011

No.

of A

rtic

les

and

Pate

nts

Number of Publications per Year Using Keyword "PHEV"

according to Google Scholar

Search volume index

News reference volume

Scholarly Articles

and Patents acc.

Google Scholar

in English

Public Interests

according to

Google Searches

Source: Google Searches keyword “PHEV” in June 5th, 2011

Page 4: Michael Kintner-Meyer, Ph.D

Continued Surge of Global Car Fleet –as China and Emerging Economies Buy Cars

4

Projections of Global Passenger Car Fleet1

1Source: World Energy Outlook 2010, New Policy Case, IEA, Nov. 9, 2010

Projections of Global Annual Sales2

0

10

20

30

40

50

60

70

2010 2015 2020 2025 2030 2035M

illi

on

PHEV

EV

2Source: World Energy Outlook 2010, 450 Scenario, IEA, Nov. 9, 2010

PHEVs and EVs may reach 39%

of new sales in 2035

Page 5: Michael Kintner-Meyer, Ph.D

5

The Challenge Ahead is ComplexThe grid must meet new expectations

5

Electrify transportation sector to reduce dependence on imported oil

Delivering 300 GW of renewable generation by 2025

Maximize benefits of end-use efficiency and storage

Meet future carbon and emissions constraints

Historical Expectations Emerging Expectations

Affordable Power

Reliable Power

Secure Power

The energy industry is highly regulated, capital intensive, risk averse,

innovation poor and highly fragmented

Page 6: Michael Kintner-Meyer, Ph.D

66

System Transparency – Seeing and operating the

grid as a national system in real-time

Energy Storage – Defining the location, technical performance,

and required cost of storage; synthesizing nanofunctional

materials and system fabrication to meet requirements

Cyber Security and Interoperability – Defining standards

for secure, two-way communication and data exchange

Key Elements for Transforming the U.S. Energy System

Analytic Innovations - Leveraging High-Performance

Computing and new algorithms to provide real-time situational

awareness and models for prediction and response

Demand Response – Making demand

an active tool in managing grid efficiency and reliability.

Renewable Integration – Addressing variability and intermittence

of large-scale wind generation and the complexities of

distributed generation and net metering

EV

EV

EV

EV

Page 7: Michael Kintner-Meyer, Ph.D

Technical Potential Analysis of Today’s Grid

Can the US electric grid become a strategic national

asset for addressing our dependence on foreign oil?

How much energy could the idle capacity of the grid deliver for the U.S.

light- duty vehicle fleet (cars, pickups, SUVs, vans)?

assume grid looks much like today‟s (worst case; likely to be cleaner)

assume vehicle mix is unchanged (worst case; likely to be lighter)

i.e., don‟t allow outcome to be driven by assumptions about the future power plant mix or vehicle fleet

What would be some of the impacts be on

gasoline/crude oil displacement

emissions

utility revenue requirements

* funded by Office of Electricity Delivery and Energy Assurance

Page 8: Michael Kintner-Meyer, Ph.D

Over 70% of the existing U.S. light-duty

vehicle fleet (if PHEVs) could be fueled with

available off-peak electric capacity

73%

43%

U.S. Overall

Nighttime

Charging

Only

(hrs 18 – 6)

Daytime +

Nighttime

Charging

(0 – 24 hrs)

Assumptions

PHEV specific energy requirements (EPRI 2004):

Compact 0.26 kWh/mi

Mid-size 0.30 kWh/mi

Mid-size SUV/Vans 0.38 kWh/mi

Full-size SUV 0.46 kWh/mi

87% charger efficiency

85% battery efficiency

8% T&D loss

Page 9: Michael Kintner-Meyer, Ph.D

Analysis by North American Electric

Reliability Corporation (NERC) Region

Summary

Midwest: support almost the entire LDV fleet

East: somewhat smaller potential

West: supports fewer vehicles

% figures denote the percentage of LDV fleet supported by idle electric capacity

Nighttime

Charging

Only

(hrs 18 – 6)

Daytime +

Nighttime

Charging

(0 – 24 hrs)

NWP

AZN

& RMP

CNV

18%10%

66%

39%23%

15%

80%

45%

52%

31%

57%

34%

ERCOT

100%

73% SPP SERC

MAINECAR

127%

73%

78%

46%

NPCC(US)

86%

49%

MAPP

105%

57%

104%

61%

Page 10: Michael Kintner-Meyer, Ph.D

CNV, Summer

-

10,000

20,000

30,000

40,000

50,000

60,000

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hour

MWAdditional Combined

Cycle

Additional Other Fossil

Steam

Additional Coal Steam

Renewable

Conventional Hydro

Pumped Storage

Combustion

Turbine/Diesel

Combined Cycle

Other Fossil Steam

Coal Steam

Nuclear

Summer Average

Current Generation and “Valley-Filling”CNV, Summer

Summer peak

Page 11: Michael Kintner-Meyer, Ph.D

Current Generation and “Valley-Filling” ECAR, Summer

ECAR, Summer

-

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

100,000

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Hour

MW

Additional

Combined Cycle

Additional Other

Fossil Steam

Additional Coal

Steam

Renewable

Conventional Hydro

Pumped Storage

Combustion

Turbine/Diesel

Combined Cycle

Other Fossil Steam

Coal Steam

Nuclear

Summer Peak Day

Summer Average

Page 12: Michael Kintner-Meyer, Ph.D

Regional Emissions Impacts (Well-to-Wheel*)

with Today’s Generation Mix

Moving emissions from tailpipes to smokestacks:

solves an intractable problem for CO2 capture

improves cost effectiveness for other emissions

ECAR ERCOT MACC MAIN MAPP NPCC FRCC SERC SPP PNWAZN&

RMPCNV

US

total

Natural Gas 32% 94% 74% 42% 1% 91% 69% 57% 78% 43% 63% 93%

Coal 68% 6% 26% 58% 99% 9% 31% 43% 22% 57% 37% 7%

Emissions

GHGs 0.87 0.60 0.69 0.83 1.01 0.61 0.71 0.76 0.66 0.84 0.73 0.61 0.73

VOC: Total 0.11 0.04 0.06 0.10 0.14 0.04 0.07 0.08 0.06 0.10 0.07 0.04 0.07

CO: Total 0.01 0.02 0.02 0.02 0.01 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02

NOx: Total 1.02 0.38 0.59 0.93 1.35 0.41 0.64 0.76 0.54 0.93 0.71 0.39 0.69

PM10: Total 1.55 0.81 1.06 1.45 1.94 0.86 1.13 1.26 0.99 1.46 1.19 0.84 1.18

SOx: Total 3.94 0.42 1.68 3.59 5.96 0.64 2.05 2.67 1.34 3.77 2.35 0.53 2.25

VOC: Urban 0.00 0.01 0.01 0.01 0.00 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01

CO: Urban 0.00 0.01 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

NOx: Urban 0.10 0.11 0.11 0.10 0.09 0.11 0.11 0.10 0.11 0.10 0.10 0.11 0.10

PM10: Urban 0.60 0.62 0.62 0.60 0.58 0.62 0.61 0.61 0.62 0.61 0.61 0.62 0.61

SOx: Urban 0.35 0.04 0.14 0.30 0.51 0.05 0.17 0.22 0.12 0.31 0.20 0.04 0.19

Power Generation Composition

Emissions Ratio (Electric Vehicle/Gasoline Vehicle)

Existing coal plants

break even on

greenhouse gases

Greenhouse gases

Plant mix for valley fill

Nationally, greenhouse

gases reduced 27% despite

increased reliance on coal

SOx

Particulates

Urban air quality emissions

greatly reduced:

VOCs/CO/NOx > 90%

SOx = 80%

Particulates = 40%

Urban: VOCs

CO

NOx

Particulates

SOx

* Argonne National Laboratory’s

GREET well-to-wheel model

SOx from vehicles doubles:

cap-and-trade will require

investment in cleaner plants

Page 13: Michael Kintner-Meyer, Ph.D

Increased Sales of Electricity from PHEVs

Produce Downward Pressure on Electricity Rates*

Utility Cost of Service, By Element of Cost

Fixed Distribution,

$12.54

Fixed Power Supply,

$23.66 Fixed Power Supply,

$21.43

Variable Power Supply,

$15.80

Variable Power Supply,

$15.84

Fixed Distribution,

$14.25

$0.00

$10.00

$20.00

$30.00

$40.00

$50.00

$60.00

BEFORE AFTER

Cincinnati Gas and Electric Cincinnati Gas and Electric

Do

llars

pe

r M

Wh

Variable Distribution

Fixed Distribution

VariableTransmission

Fixed Transmission

Variable PowerSupply

Fixed Power Supply

$54.2

6 $50.2

7

kWh Produced

Cincinnati Gas & Electric Costs/MWh

with PHEV Valley Filling

Increased

sales

MW Capacity,

Capital InvestmentSame

infrastructure,

same capital

investment

+

= $/kWh

Lower

electricity

rates

Before After

Before After

Before After

* analysis of Cincinnati Gas & Electric

and San Diego Gas & Electric

Page 14: Michael Kintner-Meyer, Ph.D

0

5

10

15

20

25

Mill

ions B

arr

els

Per

Day

Total

20.6

US

Production

8.2

Net

Imports

12.5

Trans-

portation

13.8

Industry

5.0

Res, Com,

Electricity

1.8

Gasoline

9.1

potential

PHEV

displacement

6.5

Summary

The idle capacity of the U.S. grid could supply 73% of

the energy needs of today‟s cars, SUVs, pickup trucks,

and vans…

without adding generation or transmission

if charging of vehicles is managed73% electric

(158 million

vehicles)

52%

Source: EIA, Annual Energy Review 2005

Potential to displace 52% of net oil imports (6.7 MMbpd)

More sales + same infrastructure = downward pressure on rates

Reduces CO2 emissions by 27%

Emissions move from tailpipes to smokestacks (and base load plants) … cheaper to clean up

Introduces vast electricity storage potential for the grid

Page 15: Michael Kintner-Meyer, Ph.D

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

16 18 20 22 24 2 4 6 8 10 12 14

Hour

MW

Numbers of Charging Cars

-

1

2

3

4

16 18 20 22 24 2 4 6 8 10 12 14

Mil

lio

ns o

f cars

Hour

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

16 18 20 22 24 2 4 6 8 10 12 14

Hour

MW

Numbers of Charging Cars

-

1

2

3

4

16 18 20 22 24 2 4 6 8 10 12 14

Mil

lio

ns o

f cars

Hour

0

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

16 18 20 22 24 2 4 6 8 10 12 14

Hour

MW

Numbers of Charging Cars

0

1

2

3

4

16 18 20 22 24 2 4 6 8 10 12 14

Mil

lio

ns o

f cars

Hour

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

16 18 20 22 24 2 4 6 8 10 12 14

Hour

MW

Numbers of Charging Cars

-

1

2

3

4

16 18 20 22 24 2 4 6 8 10 12 14

Mil

lio

ns o

f cars

Hour

Perfect Valley FillingECAR Summer Load Profile

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

16 18 20 22 24 2 4 6 8 10 12 14

Hour

MW

Numbers of Charging Cars

-

1

2

3

4

16 18 20 22 24 2 4 6 8 10 12 14

Mil

lio

ns o

f cars

Hour

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

16 18 20 22 24 2 4 6 8 10 12 14

Hour

MW

Numbers of Charging Cars

-

1

2

3

4

16 18 20 22 24 2 4 6 8 10 12 14

Mil

lio

ns o

f cars

Hour

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

16 18 20 22 24 2 4 6 8 10 12 14

Hour

MW

Numbers of Charging Cars

-

1

2

3

4

16 18 20 22 24 2 4 6 8 10 12 14

Mil

lio

ns o

f cars

Hour

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

16 18 20 22 24 2 4 6 8 10 12 14

Hour

MW

Numbers of Charging Cars

-

1

2

3

4

16 18 20 22 24 2 4 6 8 10 12 14

Mil

lio

ns o

f cars

Hour

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

16 18 20 22 24 2 4 6 8 10 12 14

Hour

MW

Numbers of Charging Cars

-

1

2

3

4

16 18 20 22 24 2 4 6 8 10 12 14

Mil

lio

ns o

f cars

Hour

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

16 18 20 22 24 2 4 6 8 10 12 14

Hour

MW

Numbers of Charging Cars

-

1

2

3

4

16 18 20 22 24 2 4 6 8 10 12 14

Mil

lio

ns o

f cars

Hour

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

16 18 20 22 24 2 4 6 8 10 12 14

Hour

MW

Numbers of Charging Cars

-

1

2

3

4

16 18 20 22 24 2 4 6 8 10 12 14

Mil

lio

ns o

f cars

Hour

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

16 18 20 22 24 2 4 6 8 10 12 14

Hour

MW

Numbers of Charging Cars

-

1

2

3

4

16 18 20 22 24 2 4 6 8 10 12 14

Mil

lio

ns o

f cars

Hour

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

16 18 20 22 24 2 4 6 8 10 12 14

Hour

MW

Numbers of Charging Cars

-

1

2

3

4

16 18 20 22 24 2 4 6 8 10 12 14

Mil

lio

ns o

f cars

Hour

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

16 18 20 22 24 2 4 6 8 10 12 14

Hour

MW

Numbers of Charging Cars

-

1

2

3

4

16 18 20 22 24 2 4 6 8 10 12 14

Mil

lio

ns o

f cars

Hour

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

16 18 20 22 24 2 4 6 8 10 12 14

Hour

MW

Numbers of Charging Cars

-

1

2

3

4

16 18 20 22 24 2 4 6 8 10 12 14

Mil

lio

ns o

f cars

Hour

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

16 18 20 22 24 2 4 6 8 10 12 14

Hour

MW

Numbers of Charging Cars

-

1

2

3

4

16 18 20 22 24 2 4 6 8 10 12 14

Mil

lio

ns o

f cars

Hour

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

16 18 20 22 24 2 4 6 8 10 12 14

Hour

MW

Numbers of Charging Cars

-

1

2

3

4

16 18 20 22 24 2 4 6 8 10 12 14

Mil

lio

ns o

f cars

Hour

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

16 18 20 22 24 2 4 6 8 10 12 14

Hour

MW

Numbers of Charging Cars

-

1

2

3

4

16 18 20 22 24 2 4 6 8 10 12 14

Mil

lio

ns o

f cars

Hour

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

16 18 20 22 24 2 4 6 8 10 12 14

Hour

MW

Numbers of Charging Cars

-

1

2

3

4

16 18 20 22 24 2 4 6 8 10 12 14

Mil

lio

ns o

f cars

Hour

Charge each PHEV: 1.4 kW charge (120V, 12A) for 7 hours=10 kWh

0

Page 16: Michael Kintner-Meyer, Ph.D

Why Is It Important to Manage the Charging?

0.0

0.5

1.0

1.5

2.0

2.5

3.0

0 3 6 9 12 15 18 21 24

hour

kW

/ve

hic

le

A1: 120V Home

A3: 120V Home delayed >10pm

A4: 50/50 (120-240) Home

25,000

30,000

35,000

40,000

45,000

50,000

55,000

60,000

24 27 30 33 36 39 42 45 48

MW

Summer A3

Summer-A4

Native Load

Summer-A1

“Dumb” charging profiles

based on 37,000

observations from US

National Household

Travel Survey (2001)

“Dumb” charging at

home exacerbate

system peak

Delayed charging

moves majority of load

into low-load conditions

Based on 6 mill. PHEVs in CAISO footprint for 2030

0 3 6 9 12 15 18 21 24

Page 17: Michael Kintner-Meyer, Ph.D

Smart Charging for a Smart Grid

Smart Home Application Public Charging Stations

Smart grid services: Price-based charging to perform majority of

charging during off-peak, enabling customers to optimize between cost and convenience

Demand response services (direct load control)

Regulation services by modulating load

Mobile billing Enable „roaming‟ transaction concepts for

Smart battery services Diagnostics and Maintenance

Determining state-of-health of battery

Communication Standards are enabling Vehicle-to-Grid interactions• Society of Automotive Engineers (North America)

• JSAE (Japan)

• International Electrotechnical Commission (primarily Europe)

Page 18: Michael Kintner-Meyer, Ph.D

What are Electricity Cost Impacts of Electric Transportation from a National Perspective? Key assumptions:

Time horizon of the study (2030)

Grid: What will the grid look like for the time horizon of the study?

Transportation

How many vehicles? -> penetration rates

When are they charged?

How are they charged?

Methodology Complex economic dispatch model of thousands of generators

and transmission network representation

Page 19: Michael Kintner-Meyer, Ph.D

0%

10%

20%

30%

40%

50%

60%

70%

80%

2000 2010 2020 2030 2040 2050

Ma

rke

t S

ha

re o

f S

ale

s

2013

Commercial

availability

for mass

produced

PHEVs

Phase II: 10 years

(2013-2023)

capturing 10%

market share

2030

• 22% of market share

• 11% of LDV stock

• (37 mill. vehicles)

30% total market

potential of PHEV

considering other

competing

advanced

propulsion

technologies

Penetration results

EPRIMedium

penetration

EPRIHigh

penetration

President

Obama:

1 Mill. PHEVs by

2015

Page 20: Michael Kintner-Meyer, Ph.D

0.0

1.0

2.0

3.0

4.0

5.0

6.0

0 3 6 9 12 15 18 21 24

hour

kW

/veh

icle

120 NHTS, Home

120 NHTS, Home delayed until >10pm

120 NHTS, Home & Work

120 NHTS, Home delayed until >10pm &work

240 NHTS, Home

240 NHTS, Home delayed until >10pm

240 NHTS, Home & Work

240 NHTS, Home delayed until >10pm &work

Developed Plausible PHEV Charging Profiles

Need for PHEV charging profile

Most researchers use EPRI “W” shaped profile based on notion of 120V/12A charging

Refined PHEV profile with DOT 2001 National Household Travel Survey to reflect “resting periods” of vehicles

Considered both 120V and 240V charging (automakers announced 240V charging capabilities)

Diversified average

charging profiles for

PHEVs

Page 21: Michael Kintner-Meyer, Ph.D

Detailed Electricity Market Impact Analysis for WECC

9.2 Million PHEVs in WECC in 2030

Majority of PHEVs in California

Impacts to the grid

Production cost model

1900+ generator units

64 balancing zones

EIA‟s capacity additions to 2030

Meeting regional RPS

Additional capacity for PHEVs

Determine

Cost impacts

Emissions impacts

Grid Analysis

Page 22: Michael Kintner-Meyer, Ph.D

-100,000

-50,000

0

50,000

100,000

150,000

200,000

250,000

300,000

350,000

400,000

1 2 3 4 5 6 7 8 91

01

11

21

31

41

51

61

71

81

92

02

12

22

32

4 1 2 3 4 5 6 7 8 91

01

11

21

31

41

51

61

71

81

92

02

12

22

32

4

A2h A3h

8

Mo

nth

ly c

om

mu

lative e

ne

rgy in M

Wh

Combined Cycle Combustion Tur CT Gas Hydro Internal Combu

Pumped Storage ST Coal ST Gas ST Other Steam Turbine

Sum of diff.from.A0h

Month scenario hour

UnitCategory

Comparison of WECC’s Marginal Generation by Charging Profiles

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

1.6

0 3 6 9 12 15 18 21 24

hour

kW

/ve

hic

le

A1: 120V Home

A2: 120V Home and work

A3: 120V Home delayed >10pm

A3: 120 Home delayed A2: 120 Home & work

Marginal CO2-emission

0.42 ton/MWh

Marginal CO2-emission

0.57 ton/MWh

Page 23: Michael Kintner-Meyer, Ph.D

Results: Marginal generation mix depends on the regions and the time of day when vehicles are charged

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

A6: Home Night Charging

Gas: Comb. Cycle Gas: Combustion Turbine

Coal Gas: Single Cycle

Other: Single Cycle

NWP

AZN&RMP

CNV

NPCC(US)(US)

Natural gas

primary fuel

for day-

charging

A5: Day charging

A6: Night charging

Significant

coal

resources

available for

night-charging

Economics suggest to

charge at night, resulting

in about ½ of the cost

increases compared to

day-charging

Page 24: Michael Kintner-Meyer, Ph.D

Net Well-to-Wheel* CO2 Emissions Comparisons

Assume mid-sized PHEV electric mode (0.35 kWh/mile)

For Well-to-Wheel, conventional gasoline vehicle, assume 20% contribution for Well-to-Pump

Average Michigan and US electric power CO2 intensity from EIA source

WE

CC

ma

rgin

al e

mis

sio

ns

Nig

ht-

ch

arg

ing

WE

CC

ma

rgin

al e

mis

sio

ns

Da

y-c

ha

rgin

g

Ave

rage

Cali

forn

ia

(0.2

2 g

/kW

h)

Ave

rage

Wa

sh

ing

ton

(0.1

4 g

/kW

h)

Ave

rage

Mic

hig

an

(0.9

4 g

/kW

h)

Ave

rage

Wyo

min

g

(0.9

7 g

/kW

h)

Ave

rage

US

(0.6

1 g

/kW

h)

Compared to conventional

gasoline vehicle with 22 MPG

-300.0

-250.0

-200.0

-150.0

-100.0

-50.0

0.0

Ne

t W

ell

-to

-Wh

ee

l C

O2

Em

iss

ion

s [

g C

O2

/km

]

CO2 intensities from electric power sectors

Page 25: Michael Kintner-Meyer, Ph.D

Net Well-to-Wheel* CO2 Emissions Comparisons

WE

CC

ma

rgin

al e

mis

sio

ns

Nig

ht-

ch

arg

ing

WE

CC

ma

rgin

al e

mis

sio

ns

Da

y-c

ha

rgin

g

Ave

rage

Cali

forn

ia

(0.2

2 g

/kW

h)

Ave

rage

Wa

sh

ing

ton

(0.1

4 g

/kW

h)

Ave

rage

Mic

hig

an

(0.9

4 g

/kW

h)

Ave

rage

Wyo

min

g

(0.9

7 g

/kW

h)

Ave

rage

US

(0.6

1 g

/kW

h)

Compared to conventional

gasoline vehicle with 27 MPG

CO2 intensities from electric power sectors

-300.0

-250.0

-200.0

-150.0

-100.0

-50.0

0.0

Net

Well

-to

-Wh

eel

CO

2 E

mis

sio

ns [

g C

O2/k

m]

Assume mid-sized PHEV electric mode (0.35 kWh/mile)

For Well-to-Wheel, conventional gasoline vehicle, assume 20% contribution for Well-to-Pump

Average Michigan and US electric power CO2 intensity from EIA source

Page 26: Michael Kintner-Meyer, Ph.D

Net Well-to-Wheel* CO2 Emissions Comparisons

WE

CC

ma

rgin

al e

mis

sio

ns

Nig

ht-

ch

arg

ing

WE

CC

ma

rgin

al e

mis

sio

ns

Da

y-c

ha

rgin

g

Ave

rage

Cali

forn

ia

(0.2

2 g

/kW

h)

Ave

rage

Wa

sh

ing

ton

(0.1

4 g

/kW

h)

Ave

rage

Mic

hig

an

(0.9

4 g

/kW

h)

Ave

rage

Wyo

min

g

(0.9

7 g

/kW

h)

Ave

rage

US

(0.6

1 g

/kW

h)

Compared to conventional

gasoline vehicle with 35 MPG

CO2 intensities from electric power sectors

-300.0

-250.0

-200.0

-150.0

-100.0

-50.0

0.0

50.0

Net

Well

-to

-Wh

eel

CO

2 E

mis

sio

ns [

g C

O2/k

m]

Assume mid-sized PHEV electric mode (0.35 kWh/mile)

For Well-to-Wheel, conventional gasoline vehicle, assume 20% contribution for Well-to-Pump

Average Michigan and US electric power CO2 intensity from EIA source

Page 27: Michael Kintner-Meyer, Ph.D

Net Well-to-Wheel* CO2 Emissions Comparisons

WE

CC

ma

rgin

al e

mis

sio

ns

Nig

ht-

ch

arg

ing

WE

CC

ma

rgin

al e

mis

sio

ns

Da

y-c

ha

rgin

g

Ave

rage

Cali

forn

ia

(0.2

2 g

/kW

h)

Ave

rage

Wa

sh

ing

ton

(0.1

4 g

/kW

h)

Ave

rage

Mic

hig

an

(0.9

4 g

/kW

h)

Ave

rage

Wyo

min

g

(0.9

7 g

/kW

h)

Ave

rage

US

(0.6

1 g

/kW

h)

Compared to conventional

gasoline vehicle with 45 MPG

CO2 intensities from electric power sectors

-300.0

-250.0

-200.0

-150.0

-100.0

-50.0

0.0

50.0

100.0

150.0

Net

Well

-to

-Wh

eel

CO

2 E

mis

sio

ns [

g C

O2/k

m]

Assume mid-sized PHEV electric mode (0.35 kWh/mile)

For Well-to-Wheel, conventional gasoline vehicle, assume 20% contribution for Well-to-Pump

Average Michigan and US electric power CO2 intensity from EIA source

Page 28: Michael Kintner-Meyer, Ph.D

Net Well-to-Wheel* CO2 Emissions Comparisons

WE

CC

ma

rgin

al e

mis

sio

ns

Nig

ht-

ch

arg

ing

WE

CC

ma

rgin

al e

mis

sio

ns

Da

y-c

ha

rgin

g

Ave

rage

Cali

forn

ia

(0.2

2 g

/kW

h)

Ave

rage

Wa

sh

ing

ton

(0.1

4 g

/kW

h)

Ave

rage

Mic

hig

an

(0.9

4 g

/kW

h)

Ave

rage

Wyo

min

g

(0.9

7 g

/kW

h)

Ave

rage

US

(0.6

1 g

/kW

h)

Compared to conventional

gasoline vehicle with 60 MPG

CO2 intensities from electric power sectors

-300.0

-250.0

-200.0

-150.0

-100.0

-50.0

0.0

50.0

100.0

150.0

Net

Well

-to

-Wh

eel

CO

2 E

mis

sio

ns [

g C

O2/k

m]

Assume mid-sized PHEV electric mode (0.35 kWh/mile)

For Well-to-Wheel, conventional gasoline vehicle, assume 20% contribution for Well-to-Pump

Average Michigan and US electric power CO2 intensity from EIA source

Page 29: Michael Kintner-Meyer, Ph.D

-300.0

-250.0

-200.0

-150.0

-100.0

-50.0

0.0

50.0

100.0

150.0

Ne

t W

ell

-to

-Wh

ee

l C

O2

Em

iss

ion

s [

g C

O2

/km

]

22 MPG

27 MPG

35 MPG

45 MPG

60 MPG

Net Well-to-Wheel* CO2 Emissions Comparisons

WE

CC

ma

rgin

al e

mis

sio

ns

Nig

ht-

ch

arg

ing

WE

CC

ma

rgin

al e

mis

sio

ns

Da

y-c

ha

rgin

g

Ave

rag

e C

ali

forn

ia

(0.2

2 g

/kW

h)

Ave

rag

e W

as

hin

gto

n

(0.1

4 g

/kW

h)

Ave

rag

e

Mic

hig

an

(0.9

4 g

/kW

h)

Avera

ge

Wyo

min

g

(0.9

7 g

/kW

h)

Ave

rag

e U

S

(0.6

1 g

/kW

h)

CO2 intensities from electric power sectorsFor night-

charging in

WECC, emissions

benefits vanish if

competition is 53

MPG or better

For day-charging

in WECC,

emissions benefits

vanish if

competition is 72

MPG or better

Page 30: Michael Kintner-Meyer, Ph.D

Impacts on the Distribution System

Feeder Composition

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

80.0%

90.0%

100.0%

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34

Feeder Number

Irrigation

Industrial

Commercial

Multi-Family Residential

Single Family Residential

Issues:

How do PHEV impact my capital budget for distribution upgrades?

How different is a PHEV load from, say plasma TV or Air-conditioning?

Are there any reliability impacts with this new load?

Methodology

Distribution system planning tools

Probabilistic Risk Assessment

Page 31: Michael Kintner-Meyer, Ph.D

Secondary Transformer Loading(Selected Utilities in PNW)

PHEV Charge Profile (EPRI)

0

0.2

0.4

0.6

0.8

1

1.2

1 3 5 7 9 11 13 15 17 19 21 23

Hour

kW

PHEV Charge Profile (Quick Charging)

0

2

4

6

8

10

1 3 5 7 9 11 13 15 17 19 21 23

Hour

kW

Transformer Loaded Capacity for Various PHEV Penetrations

EPRI Charging Profile

0%

10%

20%

30%

40%

50%

60%

0% 20%

40%

60%

80%

100%

120%

140%

160%

180%

200%

>200

%

Percent Loaded Capacity

Pe

rce

nta

ge

of T

ran

sfo

rme

rs

Base Load

50% Penetration

100% Penetration

200% Penetration

Transformer Loaded Capacity for Various PHEV Penetrations

240V Quick Charge Charging Profile

0%

10%

20%

30%

40%

50%

60%

0% 20%

40%

60%

80%

100%

120%

140%

160%

180%

200%

>200

%

Percent Loaded Capacity

Pe

rce

nta

ge

of T

ran

sfo

rme

rs

Base Load

50% Penetration

100% Penetration

200% Penetration

Level 1 (120V) Charging

Level 2 (240V) Charging

Page 32: Michael Kintner-Meyer, Ph.D

Selected Feeder in the NW

Page 33: Michael Kintner-Meyer, Ph.D

Question to answer:

How many electric vehicles are necessary to meet new balancing requirements for integrating wind generation in the PNW (2020)?

Assumptions

Balancing requirements for wind capacity to increase from 4.2 to 14.4 GW (RPS of 12%)

Basic assumptions from PNNL report on storage integration into NWPP(1)

Benefits of PHEVs for Integrating Renewable Energy Resources

(1): Source: PNNL-19300. Energy Storage for Power Systems Applications: A Regional Assessment for the Northwest Power Pool (NWPP)

BPA

NWPP

Additional Wind

sites

Page 34: Michael Kintner-Meyer, Ph.D

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

0 3 6 9 12 15 18 21 24

(Loadactual - Wind Genactual)

(Loadforecast - Wind Genforecast)

Approach for Determining Balancing Requirements

Forecasted (load – wind generation)

Actual (load – wind gen)

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

0 3 6 9 12 15 18 21 24

Under-Generation

Over-Generation

Page 35: Michael Kintner-Meyer, Ph.D

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

0 3 6 9 12 15 18 21 24

Under-Generation

Over-Generation

Meeting Balancing Requirements with Smart Charging

Balancing Requirements

0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 50

1

2

3

4

Ch

arg

er

Ou

tpu

t [k

W]

0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 50

50

100

Sta

te o

fC

ha

rge

[%

]

Time, hours

Modulation of charging between

0 – full charging rate (3.3 kW)

Capacity value regulation

services to the grid-operator =

3.3 kW for duration of charging

Page 36: Michael Kintner-Meyer, Ph.D

Electric Vehicles as a Resource for Renewable Integration

Light duty vehicle stock in NWPP (ID, WA, OR, UT,MT): 16.5 Million

Assumptions

110 mile all-electric range

Half of all charging stations (public/private) are 240 VAC-capable

Utilize 2001 NHTS Data for driving patterns

Electric Vehicles could provide a significant portion of the future balancing requirements

And thus contribute to the integration of Renewable Energy Resources

Challenge: What is the reward system and how do we verify?

Home Public

100% 0% >16 mill > 100%

100% 5% 6 mill 36%

100% 20% 3 mill 20%

100% 100% 2 mill 12%

Charging InfrastructureNo. of Vehicles % of Vehicle Stock

Page 37: Michael Kintner-Meyer, Ph.D

Demonstrate Smart Charging Technologies

PNNL‟s Toyota Prius 17 charging stations with PV

Page 38: Michael Kintner-Meyer, Ph.D

Smart Grid with Smart Chargers Can Deliver the Electricity for Millions of PHEVs