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Benefits of PHEVs

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ACHIEVING SOCIETAL BENEFITS ASSOCIATED WITH ALTERNATIVE FUEL SUBSIDIES: THE CASE OF PLUG-IN HYBRID ELECTRIC VEHICLES Samir M. Nazir MS Candidate Science, Technology, and Public Policy 2010 BS Mechanical Engineering, University of Texas - 2001 Under the faculty guidance of James Winebrake, PhD: Chair STS/Public Policy Dept
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Page 1: Benefits of PHEVs

ACHIEVING SOCIETAL BENEFITS ASSOCIATED

WITH ALTERNATIVE FUEL SUBSIDIES: THE

CASE OF PLUG-IN HYBRID ELECTRIC VEHICLES

Samir M. Nazir

MS Candidate Science, Technology, and Public Policy – 2010

BS Mechanical Engineering, University of Texas - 2001

Under the faculty guidance of James Winebrake, PhD:

Chair STS/Public Policy Dept

Page 2: Benefits of PHEVs

HIGHLIGHTS

Research Question

Background

Methodology

Results

Implications and Conclusions

Page 3: Benefits of PHEVs

RESEARCH QUESTION

How do the societal benefits of PHEV deployment vary

across counties in the US?

Page 4: Benefits of PHEVs

HIGHLIGHTS

Research Question

Background

Methodology

Results

Implications and Conclusions

Page 5: Benefits of PHEVs

BACKGROUND

PHEVs

Vehicle Characteristics

Charging From Grid and Consequences

Potential Benefits of PHEVs

Reduced Emissions

Reduced Health Impacts/Ozone

Energy Security

The Science and Technology Policy Issue

Technology, market, economy, environment, and policy

Page 6: Benefits of PHEVs

HIGHLIGHTS

Research Question

Background

Methodology

Results

Implications and Conclusions

Page 7: Benefits of PHEVs

METHODOLOGY

Develop and test methods for ranking locations

within the continental US based on social benefits

of PHEV use

Identify proxy variables that get at key benefits

Apply normalized, weighted score by county

Key Variable Proxy

Market acceleration through network

effects

Population density

Health benefits Unit risk assessment for O3

Energy security VMT per capita

Market acceleration through policy Existing state and local policies

Climate change CO2 emissions per MWhr generated

Page 8: Benefits of PHEVs

METHODOLOGY

i: attribute, j: metric

a: attribute metric

n: normalized score

w: weight of attribute

s: county score

Page 9: Benefits of PHEVs

METHODOLOGY

Does HEV ownership coincide with where the

social benefits of HEV deployment are maximized?

Difference in analysis from PHEV analysis

Distribution of HEV ownership

Page 10: Benefits of PHEVs

HIGHLIGHTS

Research Question

Background

Methodology

Results

Implications and Conclusions

Page 11: Benefits of PHEVs

RESULTS

Geographic AreaFIPS

Codes

Pop Est

(7/1/2008)

Area

(Square

Miles)

Population

DensityNormal Rank

..Autauga County 01001 50,364 594 84.7 0.00118 997

..Baldwin County 01003 174,439 1,590 109.7 0.001529 798

..Barbour County 01005 29,309 885 33.1 0.000461 1847

..Bibb County 01007 21,629 623 34.7 0.000484 1806

..Blount County 01009 57,441 645 89.1 0.001241 953

..Bullock County 01011 10,796 623 17.3 0.000241 2338

..Butler County 01013 20,090 777 25.9 0.00036 2053

..Calhoun County 01015 113,419 606 187.3 0.002609 552

..Chambers County 01017 34,424 597 57.7 0.000804 1318

..Cherokee County 01019 24,545 554 44.3 0.000617 1572

..Chilton County 01021 42,444 693 61.3 0.000853 1260

Page 12: Benefits of PHEVs

RESULTS

pop 0.2 health 0.2 VMT 0.2 policy 0.2 CO2 0.2 overall 1

normal rank normal rank normal rank normal rank normal rank total rank FIPS County

0.034 47 1.000 1 0.012 2946 1.000 1 0.702 144 0.549 1 6037 Los Angeles

0.053 27 0.351 6 0.013 2808 0.941 4 0.702 144 0.412 2 6059 Orange

0.004 396 0.282 8 0.017 2283 1.000 1 0.702 144 0.401 3 6065 Riverside

0.010 186 0.368 5 0.018 2058 0.882 15 0.702 144 0.396 4 6073 San Diego

1.000 1 0.113 48 0.002 3137 0.177 682 0.667 247 0.392 5 36061 New York

0.241 5 0.048 156 0.006 3117 0.941 4 0.702 144 0.388 6 6075 San Francisco

0.001 864 0.278 10 0.015 2491 0.941 4 0.702 144 0.388 7 6071 San Bernardino

0.019 104 0.180 20 0.015 2591 1.000 1 0.702 144 0.383 8 6085 Santa Clara

0.020 94 0.185 18 0.015 2621 0.882 15 0.702 144 0.361 9 6067 Sacramento

0.028 62 0.162 24 0.011 3009 0.882 15 0.702 144 0.357 10 6001 Alameda

Page 13: Benefits of PHEVs

RESULTS

PHEV Composite Scores

Page 14: Benefits of PHEVs

RESULTS

HEV Composite Scores

Page 15: Benefits of PHEVs

HEV DENSITY IN THE LOWER 48 STATES

HEVs per 10,000 people

Page 16: Benefits of PHEVs

RESULTS

HEV density (vehicles per 10,000 people)

for 300 counties with greatest benefits

Page 17: Benefits of PHEVs

HIGHLIGHTS

Research Question

Background

Methodology

Results

Implications and Conclusions

Page 18: Benefits of PHEVs

IMPLICATIONS AND CONCLUSIONS

Location of highest ranking counties

Expectations

Surprises

Outliers

Characterization of counties

Page 19: Benefits of PHEVs

IMPLICATIONS AND CONCLUSIONS

Next steps

Examine environmental justice question

Develop more sophisticated models that include

demographic data that influence purchase decisions

Explore impacts of PHEV implementation more

precisely

Is there a case for encouraging PHEV adoption in

some counties versus others?

Page 20: Benefits of PHEVs

QUESTIONS?


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