The energy intensity of driving depends on many factors, including four in particular: the number of passengers in the car, the type of car, the type of fuel the car consumes, and the way in which it is used. Intercity trips tend to have a lower energy intensity due to better fuel economy on the highway and the fact that there are typically more passengers on a longer trip 1. See our analysis of the broader impacts of transportation for more information.
Based on Model Year 2018 vehicles, pickup trucks consume 58% more energy per passenger-kilometer than sedans.
A car's primary energy consumption also depends on the type of fuel. Despite having greater upstream primary energy requirements, electric vehicles are the most energy efficient in general, saving about 35% primary energy relative to gasoline cars in the case of sedans. The following compares energy consumption of the average sedan and SUV in the U.S. Model Year 2018 fleet.
For a typical light-duty vehicle, greenhouse gases emissions vary by fuel source as follows.
Electric vehicles have higher up-front energy and emissions, mainly due to the battery pack, but even so generally have lower life cycle emissions except possibly in a highly emissions-intensive grid.
There have been many studies on the life cycle impacts of electric vehicles, most of which (for example 9 and 10) confirm the general pattern described above. However, EVs have been found to be worse than ICE cars on life cycle particulate matter and human toxicity 11.
While unsubsidized electric vehicles save customers money over the car's lifetime, uptake may be hampered by the fact that EVs typically cost more at purchase and save money later. Over time, a decline in the cost of batteries should accelerate EV purchasing.
The fuel economy of internal combustion engines can be nearly doubled from Model Year 2018 values through standards and incremental improvements to technology.
Average Model Year 1980 fuel economy was 20.5 MPG 2, indicating that most improvement in automotive technology of the last 40 years has gone to vehicle size and performance rather than energy savings.
The International Energy Agency has a target of about a 39% increase in world fuel economy from 2017 to 2030 15.
The way in which a car is used also has a major impact on energy intensity. Ride hailing services, such as Uber and Lyft, tend to have greater energy intensity per passenger-km because the passenger is more likely to be alone (except for the driver), and the rate of deadheading--the car in motion without a passenger--is about 41% 16. This figure does not account for the possibility that, due to greater use, the car's upstream energy usage per passenger-km may be less.
The potential advent of autonomous vehicle opens a range of possibilities. In the most optimistic case, fuel economy could be improved through a combination of more efficient driving, lighter vehicles, congestion mitigation, platooning, crash avoidance, and the use of fleets that prioritize fuel economy over other performance characteristics. In the pessimistic case, fuel economy may be worsened by higher highway speeds and new features such as in-car entertainment systems 17.
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U.S. Environmental Protection Agency. "Automotive Trends Report". 2018. ↩ ↩2 ↩3 ↩4
fueleconomy.gov. "Fuel Economy Guide: Model Year 2019". U.S. Department of Energy, Office of Renewable Energy and Energy Efficiency, U.S. Environmental Protection Agency. Accessed May 23, 2019. ↩
U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy. "Using Natural Gas for Vehicles: Comparing Three Technologies". December 2015. ↩
Argonne National Laboratory. "GREET Model". Accessed June 22, 2019. ↩
Joseck, F., Elgowainy, A. "Well-to-Wheels Greenhouse Gas Emissions for Methanol to Hydrogen Pathways". DOE Hydrogen and Fuel Cells Program Record. January 2016. ↩
Kukreja, B. "Life Cycle Analysis of Electric Vehicles: Quantifying the Impact". Prepared for Adrian Cheng, Equipment Services, City of Vancouver. August 2018. ↩
Scott Institute for Energy Innovation. "Power Sector Carbon Index". Carnegie Mellon University. Accessed December 9, 2019. ↩
Messagie, M. "Life Cycle Analysis of the Climate Impact of Electric Vehicles". Transport & Environment. October 2017. ↩
Patterson, J. "Understanding the life cycle GHG emissions for different vehicle types and powertrain technologies". Low Carbon Vehicle Partnership. August 2018. ↩
Del Poro, F., Delogu, M., Pierini, M. "Life Cycle Assessment in the automotive sector: a comparative case study of Internal Combustion Engine (ICE) and electric car". Procedia Structural Integrity 12, pp. 521-537. 2018. ↩
Knittel, C. "Automobiles on Steroids: Product Attribute Trade-Offs and Technological Progress in the Automobile Sector". American Economic Review 101(7), pp. 3368-99. December 2011. ↩
Lipman, T. "Emerging Technologies for Higher Fuel Economy Automobile Standards". Annual Review of Environment and Resources 42, pp. 267-288. October 2017. ↩
Middleton, R., Harihara Gupta, O., Chang, H., Lavoie, G., Martz, J. "Fuel Efficiency Estimates for Future Light Duty Vehicles, Part B: Powertrain Technology and Drive Cycle Fuel Economy". SAE 2016 World Congress and Exhibition. April 2016. ↩
International Energy Agency. "Fuel Economy in Major Car Markets". March 2019. ↩
Henao, A., Marshall, W. "The impact of ride-hailing on vehicle miles traveled". Transportation, pp. 1-22. September 2018. ↩ ↩2
Chen, Y., Gonder, J., Young, S., Wood, E. "Quantifying autonomous vehicles national fuel consumption impacts: A data-rich approach". National Renewable Energy Laboratory. November 2017. ↩ ↩2