Comprehensive modeling study finds electric drive vehicle deployment has little observed effect on US system-wide emissions
The results of a new, comprehensive modeling study characterizing light-duty electric drive vehicle (EDV) deployment in the US over 108 discrete scenarios do not demonstrate a clear and consistent trend toward lower system-wide emissions of CO2, SO2, and NOx as EDV deployment increases.
As explained in their paper published in the ACS journal Environmental Science & Technology, the researchers from North Carolina State Univesity and the University of Minnesota found that, while the scenario parameters can influence EDV deployment—even to a most extreme scenario of adoption—this EDV deployment does not in turn produce a discernible effect on total system-wide emissions. There are three reasons for this lack of observed effect, they concluded: (1) at present the overall share of emissions from the LDV sector is only 20% of US CO2 emissions; (2) EDV charging can still produce comparable emissions to conventional vehicles depending on the grid mix; and (3) the effect of other sectors on emissions is significant.
EDVs offer three key benefits over competing vehicle technologies: (1) reduced consumption of petroleum-based fuels, (2) lower refueling infrastructure costs compared to alternatives such as H2 and compressed natural gas, and (3) a shift in energy production from vehicles to the electricity grid, where emissions from large, centralized facilities are cheaper and easier to control. While previous work has applied different methodologies and models to quantify the environmental benefits of EDVs, several consistent insights have emerged.
First, HEVs produce less emissions than conventional vehicles. Second, PHEVs with smaller battery packs are more likely to deliver emissions benefits and reduced gasoline consumption at lower lifetime cost compared to those with large battery packs in the short term. Third, significant emissions benefits, particularly from vehicles with large battery packs, only begin to accrue with clean electricity. Fourth, CO2 prices as high as 100 $/t do not provide sufficient incentive for vehicle electrification.
While these studies (along with others) have made significant contributions to the literature, they only consider a single point in time or employ sector-specific models or calculations that ignore the interaction of EDVs with the rest of the energy system over time. Recent analyses based on energy system models mainly focus on CO2 emissions and have been run with a limited set of scenarios, which make it difficult to draw insight specific to EDVs.
This paper employs an energy system model to meet the following objectives: (1) identify the conditions under which EDVs achieve high market penetration in the U.S. light duty vehicle (LDV) sector through 2050 and (2) to quantify the system-wide changes in CO2, SO2, and NOx emissions at the national level.—Babaee et al.
The researchers used a model consisting of two components: The Integrated MARKAL-EFOM System (TIMES), which serves as a generic energy optimization framework and operates on the National US TIMES Data set (NUSTD), a TIMES-compatible data set constructed specifically for this analysis. TIMES is a bottom-up, technology-rich energy system model, which represents an energy system as a network of technologies linked together via flows of energy commodities. TIMES performs linear optimization to identify the least-cost way to satisfy end-use demands, subject to user-imposed constraints such as emissions limits and maximum growth rates on technology capacity.
In their analysis, the authors examined the effect of 5 factors on EDV deployment: crude oil and natural gas prices; a federal CO2 policy; a federal renewable portfolio standard (RPS); and EDV battery cost.
Assumed values associated with each factor were blended to create the large set of 108 scenarios that capture a wide range of potential outcomes. Given the highly uncertain role of consumer choice in future vehicle adoption, they noted, their analysis focused on the economic and environmental performance of EDVs assuming minimal behavioral barriers to vehicle adoption. “Strong and persistent reluctance on the part of consumers to adopt EDVs will dampen or eliminate the EDV-related effects presented here,” they cautioned.
Across all the scenarios, the total EDV deployment ranges from 0−42% of the LDV market with an average value of 24%—a figure broadly consistent with other projections of EDV market development.
No EDV deployment occurs with high battery costs, low oil prices, and no CO2 policy. At least 1 of these 3 scenario assumptions must change in order for EDVs to achieve some level of market penetration in 2050.
As scenario parameters shift to values more favorable to EDVs—i.e., higher oil prices, a CO2 policy, lower battery cost—the median market shares increase. The maximum EDV market penetration is 16% with the low oil price assumption versus 42% with reference or high oil prices. Similarly, high and reference battery costs limit EDV penetration to a maximum of 34% and 37%, respectively, whereas low battery costs enable the maximum market penetration of 42%. The maximum EDV market share is 42% because EDV deployment is largely limited to the compact and full-size vehicle classes, due to the higher cost of electrification of larger vehicles.
The CO2 cap results in marginal CO2 prices of 37−125 $/tCO2, which with other conditions held equal, only increase EDV deployment by approximately 3%. This result is also consistent with other studies demonstrating that CO2 prices less than 100 $/tCO2 have little effect on EDV adoption.
Finding that oil price and battery cost had the largest effect on EDV deployment, they varied these scenario parameters while holding the others constant the better to isolate the effect of EDV deployment on emissions. The high EDV deployment scenario assumes high oil prices and low battery cost, while the low deployment scenario assumes low oil prices and high battery cost. All four scenarios assume reference case natural gas prices and no RPS. They found that, without the CO2 cap, there is no change in electric sector SO2 and NOx emissions because the air pollution constraints remain binding.
Further, the system-wide net decrease in SO2 and NOx (approximately 3% for each) is largely unrelated to EDV deployment: higher oil prices lead to fuel switching in the fuel supply, heavy duty vehicle (HDV), and end-use sectors. Also without the CO2 cap, high EDV deployment creates a 21% reduction in LDV CO2 emissions but a 13% increase in electric sector CO2 emissions.
Accounting for additional changes across other sectors, the system-wide effect of high EDV deployment is a slight 0.9% decrease in total CO2 in 2050.
…it is not enough to simply incentivize the purchase of EDVs and wait for emissions benefits to accrue. The emissions benefits—if any—will depend on a broad set of future conditions. Therefore, public policies that target EDV deployment should be formulated, reviewed, and revised with careful attention paid to evolving changes to the broader energy system over time. If the primary objective is to reduce emissions, policy makers should focus on implementing targeted emissions policy rather than the promotion of specific technologies or fuels. Among the scenario variables tested, the CO2 cap produced the largest and most consistent drop in CO2, SO2, and NOx emissions. Although the observed marginal CO2 prices do not drive significant EDV deployment, the results indicate that EDVs can help lower the marginal price of CO2, particularly if scenario variables favorable to EDVs (high oil prices, low battery cost) prevail.
In the absence of a CO2 policy, the promotion of clean electricity can provide direct emissions reductions and also lower the emissions footprint from vehicle charging. The new EPA proposed carbon pollution standard and the forth-coming proposed rule on existing coal-fired power (due out in 2014) could have a significant impact on national emissions and eliminate some of the potential emissions increases associated with vehicle charging. Finally, other alternative vehicles are worth a mention. First, compressed natural gas (CNG) vehicles are not cost-effective in any scenario, including those with low natural gas prices, because low CNG prices are not enough to overcome the higher investment costs. Second, the model deploys diesel and diesel hybrids in many scenarios, which may be a cost-effective way to reduce CO2 emissions given their higher efficiency compared to conventional gasoline vehicles.—Babaee et al.
Samaneh Babaee, Ajay S. Nagpure, and Joseph F. DeCarolis (2014) “How Much Do Electric Drive Vehicles Matter to Future U.S. Emissions?” Environmental Science & Technology doi: 10.1021/es4045677