Public charging infrastructure for plug-in electric vehicles: What is it worth?
Introduction
The adoption of alternative fuels and vehicles is hindered by the “chicken or egg” problem: consumers are reluctant to purchase alternative fuel vehicles (AFV) unless there is refueling infrastructure, but fuel suppliers are hesitant to build that infrastructure until enough alternative fuel vehicles are on the road to make it profitable (Sperling, 1988, McNutt and Rodgers, 2004, NRC, 2015, Gnann and Plötz, 2015, Melaina et al., 2017). In the early stages of market development alternative refueling infrastructure tends to be underutilized (e.g., EV Project, 2014, EV Project, 2015) and the development of sufficient demand can take decades (NRC, 2013, 2015). As a consequence, unless the private benefits of AFVs are compelling, public policy intervention is necessary to initiate markets for AFVs and related infrastructure and sustain them during the early phases of development (NRC, 2013). This is especially true when there are important public benefits, such as reduced greenhouse gas emissions, improved local air quality, and energy security.
Quantifying the value of public charging infrastructure to current and potential owners of plug-in electric vehicles (PEV) is essential to weighing its benefits and costs, and predicting its impact on future PEV sales.1 In this paper, we focus on the value of the existence of public charging infrastructure to the consumer, apart from any charge for using it (Greene et al., 2019). In this sense, our estimates correspond to the economic concept of willingness to pay (WTP), as explained in section II. At this stage of the market, utilization rates of public charging are low, their business model is uncertain, public and private roles are not well defined, chargers are subsidized in many instances, and cost of charging varies widely geographically and temporally (e.g., Klass, 2018, Lee and Clark, 2018, Muratori et al., 2019). The cost of using public charging is obviously important but it is not included in our WTP estimates.
Estimating WTP via stated preference experiments can produce valuable insights but also has limitations. Given the novelty of PEVs, their small market shares, and motorists’ lack of familiarity with recharging a vehicle, it is difficult for respondents to provide valid answers to survey questions (Lee and Clark, 2018, p. 46). In this paper we develop an alternative framework for estimating the tangible value of public PEV recharging infrastructure that has its own limitations but may still provide useful insights. The method focuses on estimating the ability of public charging stations to enable additional electric miles (e-miles) of travel. Infrastructure also enhances the visibility of electric vehicles and creates confidence in their viability and permanence, which can also influence adoption (Bailey et al., 2015). Public chargers can potentially make it possible for those without home/workplace charging capabilities to own such a technology. However, such benefits are not included in this analysis.
Simulation analyses making use of geographically and temporally detailed vehicle travel data have quantified the ability of charging stations to enable additional e-miles. Econometric analyses of the value of infrastructure and especially the value of PEV range allow us to infer the value of enabled e-miles. By combining insights from existing simulation modeling and econometric analyses, we develop functions that estimate WTP for charging infrastructure by type of PEV, as a function of its electric range, drivers’ annual vehicle travel, pre-existing charging infrastructure, energy prices and efficiency, and household income.
The value of public charging infrastructure is defined in terms of WTP in Section 2. We distinguish between two types of PEVs and three types of infrastructure because they affect WTP in different ways. The tangible sources of value for plug-in hybrid electric vehicles (PHEVs) and all-electric or battery electric vehicles (BEVs) are described in section III, and the costs of access and charging time are considered. Our method of estimating WTP is presented in section IV along with supporting empirical evidence. Section V presents the functions relating WTP for public charging stations for PHEVs, and BEVs in intra- and inter-regional travel. Section VI presents a case study, estimating illustrative WTP for charging infrastructure, leveraging data representative of California’s PEV market and charging station availability.
Section snippets
The value of public charging infrastructure
The value of a good to a consumer can be measured by the consumer’s WTP for it, defined as the maximum amount of money an individual would agree to give up to obtain a good or avoid a bad (Varian, 1992). Let U(x, y, z) be the indirect utility function of a representative consumer, where x is a vector of vehicle attributes including price, y is a vector of consumer attributes, and z contains variables describing the context of the choice, one of which is the availability of public charging
Tangible benefits of public charging infrastructure
Public charging infrastructure increases the value of PEVs to their owners and potential purchasers by increasing the number of miles that can be traveled powered by electricity (e.g., Peterson and Michalek, 2013, Lin and Greene, 2011). Because PHEVs are capable of continued operation when their batteries are depleted, the tangible benefit of more e-miles lies in cost reduction by substituting electric miles for gasoline-powered miles.5
Quantifying WTP: Combining theory, simulation, and econometrics
In this section we synthesize functions describing WTP for charging infrastructure as a function of vehicle range, charger availability, income, and annual miles of travel, first for BEVs and then PHEVs. For BEVs we rely on simulation studies to estimate functions relating the availability of public charging infrastructure to additional enabled vehicle miles of travel. We turn to econometric analyses to estimate the value of enabled miles. Simulation studies provide estimates of the ability of
Synthesis: WTP for charging infrastructure
In this section we combine the functional relationships from simulation modeling with the value functions for increased e-miles, inferred from econometric studies, to produce functions associating the capitalized present value of WTP for charging infrastructure to a change in infrastructure availability. The WTP functions presented below estimate total WTP as a function of availability of public chargers. The marginal WTP for an increase in availability is therefore the derivative of these
California case study
The State of California (CA) is leading the way in adoption of PEVs nationally, accounting for 47.38% of the U.S. market in 2016 (IHS Markit, 2017). State and local agencies support light-duty vehicle electrification though various policies, including the Zero Emission Vehicle (ZEV) mandate (CARB, 2017), tax credits, rebates, high occupancy vehicle lanes access, and more (AFDC, 2018c). Significant investments have been made to support publicly accessible chargers. As of April 2018, 3939 L2 and
Conclusions, limitations and recommendation for future research
We have presented a methodology for estimating the value of plug-in electric vehicle public charging infrastructure based on the tangible benefits of enabling additional miles of travel by BEVs and the substitution of electricity for gasoline by PHEVs. The willingness-to-pay (WTP) functions derived here from detailed simulation modeling and econometric estimates of the value of enabled miles of vehicle travel could be incorporated into utility functions of vehicle choice models and used to help
Acknowledgements
This work was authored in part by the National Renewable Energy Laboratory, operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. The California Energy Commission (CEC)’s Alternative and Renewable Fuel and Vehicle Technology Program (ARFVTP) supported this work. The authors would like to acknowledge guidance and input provided by Energy Commission staff. Any opinion, error and omission are the sole responsibility of the
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