Comparison of Vehicle Choice Models

Stephens, Thomas; Levinson, Rebecca Sobel; Brooker, Aaron; Liu, Changzheng; Lin, Zhenhong; Birky, Alicia; Kontou, Eleftheria

doi:10.2172/1411851

Cited by 9 publications

(4 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From there, lower vehicle sales reduce emissions further but only by 0.5 percentage points, while a slightly higher carbon intensity of electricity (59 vs 50 g CO2e/kWh) would offset emission reductions by 0.6 percentage points. We caution the reader that further significant variation could be introduced by changing the vehicle choice parameters in LAVE-Trans, 28 which is not something we have done in this work.…”

Section: Resultsmentioning

confidence: 98%

See 1 more Smart Citation

Potential Climate Impact Variations Due to Fueling Behavior of Plug-in Hybrid Vehicle Owners in the US

Wolfram

Hertwich

2020

Environ. Sci. Technol.

View full text Add to dashboard Cite

With the expected rapid growth of renewable electricity generation, charging plug-in hybrid electric vehicles (PHEVs) from the grid promise ever higher reductions in CO 2 emissions. Previous analyses have found that the share that PHEVs are driven in electric mode can differ substantially depending on region, battery size, and trip purpose. Here, we provide a first fleet-wide emissions mitigation potential of US-based PHEV drivers adopting high or low shares of electric driving. Specifically, we illustrate scenarios of different combinations of PHEV uptake, renewable electricity generation shares, and PHEV fueling behavior. Across 21 analyzed scenarios, annual greenhouse gas (GHG) emissions of the light-duty vehicle (LDV) fleet could differ by an average of 21% (5–43% range) in 2050 depending alone on the fueling behavior of PHEV drivers. This behavior could further determine the discharge of about 1.3 (0.7–1.9) Gt CO 2 (or roughly one year of current emissions) over the next three decades, significantly influencing the feasibility of reaching an 80% emission reduction target for the LDV sector. Governments can nudge PHEV drivers toward environmentally favorable fueling behavior. We discuss several options for nudging, including charging infrastructure availability, battery design, and consumer education.

show abstract

Section: Resultsmentioning

confidence: 98%

“…For our analysis, we use the LAVE-Trans (Light-duty Alternative Vehicle Energy Transitions) model. 24 − 28 LAVE-Trans is a transportation scenario model forecasting WTW GHG emissions from US LDVs. WTW emissions include emissions of the entire energy chain from the production of energy carriers to their final use.…”

Section: Methods and Datamentioning

confidence: 99%

Potential Climate Impact Variations Due to Fueling Behavior of Plug-in Hybrid Vehicle Owners in the US

Wolfram

Hertwich

2020

Environ. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…Models of this archetype focus on specific sectors of the energy system. The most common type is power models (see Section 4.3), but there are also models that focus on the transport sector [84], and more specifically, passenger vehicles [85], models that focus on the heating sector [86] and others. The advantage of these models is that by narrowing down the scope, it allows for a more detailed representation of the technologies, the actors, and the evolution of the system.…”

Section: Sectoral Applicationsmentioning

confidence: 99%

A taxonomy of models for investigating hydrogen energy systems

Blanco¹,

Leaver²,

Dodds³

et al. 2022

Renewable and Sustainable Energy Reviews

View full text Add to dashboard Cite

“…The outcomes of this study will offer a realistic assessment of the real-world electrification potential of PHEVs, challenges, and/or validates conventional wisdom on PHEV usage, and subsequently their energy consumption and emissions. Understanding the causes, magnitude, and direction of differences between assumptions about PHEV usage and their observed usage will help the broader scientific community in parametric updates, calibration, and validation efforts to strengthen the representativeness or correct for the lack thereof in vehicle choice modeling [36], powertrain simulation tools [37], integrated assessment studies [38], charging infrastructure planning [39], and emissions inventory [40]. We expect the paper help in formulating policies aimed to incentivize PHEVs based on road performance and also to inform automakers when exploring future vehicle design.…”

mentioning

confidence: 99%

Influence of User Preferences on the Revealed Utility Factor of Plug-In Hybrid Electric Vehicles

Raghavan¹,

Tal²

2019

WEVJ

View full text Add to dashboard Cite

Plug-in hybrid electric vehicles (PHEVs) are an effective intermediate vehicle technology option in the long-term transition pathway towards light-duty vehicle electrification. Their net environmental impact is evaluated using the performance metric Utility Factor (UF), which quantifies the fraction of vehicle miles traveled (VMT) on electricity. There are concerns about the gap between Environmental Protection Agency (EPA) sticker label and real-world UF due to the inability of test cycles to represent actual driving conditions and assumptions about their driving and charging differing from their actual usage patterns. Using multi-year longitudinal data from 153 PHEVs (11-53 miles all-electric range) in California, this paper systematically evaluates how observed driving and charging, energy consumption, and UF differs from sticker label expectations. Principal Components Analysis and regression model results indicated that UF of short-range PHEVs (less than 20-mile range) was lower than label expectations mainly due to higher annual VMT and high-speed driving. Long-distance travel and high-speed driving were the major reasons for the lower UF of longer-range PHEVs (at least 35-mile range) compared to label values. Enhancing charging infrastructure access at both home and away locations, and increasing the frequency of home charging, improves the UF of short-range and longer-range PHEVs respectively. 3 of 30 than 65 miles. While the J2841 UF is strictly a distance based metric, Ref. [14] proposes an energy based UF. Sensitivity of UF to different vehicle attributes such as age, class, annual VMT, and charging behavior depending on dwelling unit type is examined, and their analyses indicates that UF is largely insensitive to vehicle class and dwelling unit type, but highly sensitive to annual VMT, age, and charging behavior [14]. With the availability of real-world driving data collected using loggers albeit from ICEs, efforts have been undertaken to develop a more realistic PHEV driving cycle compared to dynamometer cycles [10] in order to better estimate their real-world energy consumption and emissions [15]. The scope of such efforts expanded by incorporating additional charging opportunities based on dwelling times and location. High resolution GPS enabled travel data collected over a span of 18 months from 400 ICEs in the Seattle metropolitan area is utilized in [16] to investigate how UF would change if only home based tours are considered. Their study reports that gasoline and electricity prices have no statistically significant impact on the UF, and that workplace or away from home charging increases the UF only if the AER of PHEV is less than 40 miles. Studies also applied UF by utilizing longitudinal data from ICEs for evaluating the life-cycle costs, emissions, and value proposition of PHEVs [17,18], and optimal battery size design and its impact on market acceptance [19,20].Around early 2011, a nationwide PEV demonstration and charging infrastructure deployment was undertaken as part of the EV project...

show abstract

Comparison of Vehicle Choice Models

Cited by 9 publications

References 22 publications

Potential Climate Impact Variations Due to Fueling Behavior of Plug-in Hybrid Vehicle Owners in the US

Potential Climate Impact Variations Due to Fueling Behavior of Plug-in Hybrid Vehicle Owners in the US

A taxonomy of models for investigating hydrogen energy systems

Influence of User Preferences on the Revealed Utility Factor of Plug-In Hybrid Electric Vehicles

Contact Info

Product

Resources

About