4 research outputs found
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Supercharged? Electricity Demand and the Electrification of Transportation in California
The rapid electrification of the transportation fleet in California raises important questions about the reliability, cost, and environmental implications for the electric grid. A crucial first element to understanding these implications is an accurate picture of the extent and timing of residential electricity use devoted to EVs. Although California is now home to over 650,000 electric vehicles (EVs), less than 5% of these vehicles are charged at home using a meter dedicated to EV use. This means that state policy has had to rely upon very incomplete data on residential charging use. This report summarizes the first phase of a project combining household electricity data and information on the adoption of electric vehicles over the span of four years. We propose a series of approaches for measuring the effects of EV adoption on electricity load in California. First, we measure load from the small subset of households that do have an EV-dedicated meter. Second, we estimate how consumption changes when households go from a standard residential electricity tariff to an EV-specific tariff. Finally, we suggest an approach for estimating the effect of EV ownership on electricity consumption in the average EV-owning household. We implement this approach using aggregated data, but future work should use household-level data to more effectively distinguish signal from noise in this analysis. Preliminary results show that households on EV-dedicated meters are using 0.35 kWh per hour from Pacific Gas and Electric (PGE); 0.38 kWh per hour from Southern California Edison; and 0.28 kWh per hour from San Diego Gas and Electric on EV charging. Households switching to EV rates without dedicated meters are using less electricity for EV charging: 0.30 kWh per hour in PGE. Our household approach applied to aggregated data is too noisy to be informative. These estimates should be viewed as evidence that more focused analysis with more detailed data would be of high value and likely necessary to produce rigorous analysis of the role EVs are playing in residential electricity consumption
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Uncertainty, Innovation, and Infrastructure Credits: Outlook for the Low Carbon Fuel Standard Through 2030
California’s low carbon fuel standard (LCFS) specifies that the state’s transportation fuel supply achieve a 20% reduction in carbon intensity (CI) below 2011 levels by 2030. Reaching the standard will require substantive changes in the fuel mix, but the specifics and the cost of these changes are uncertain. We assess if and how California is likely to achieve the standard, and the likely impact of infrastructure credits on this compliance outlook. We begin by projecting a distribution of fuel and vehicle miles demand under business-as-usual economic and policy variation and transform those projections into a distribution of LCFS net deficits for the entire period from 2019 through 2030. We then construct a variety of scenarios characterizing LCFS credit supply that consider different assumptions regarding input markets, technological adoption over the compliance period, and the efficacy of complementary policies. In our baseline scenario for credit generation, LCFS compliance would require that between 60% and 80% of the diesel pool be produced from biomass. Our baseline projections have the number of electric vehicles reaching 1.3 million by 2030, but if the number of electric vehicles reaches Governor Jerry Brown’s goal of 5 million by 2030, then LCFS compliance would require substantially less biomass-based diesel. Outside of rapid zero emission vehicle penetration, compliance in 2030 with the $200 credit price may be much more difficult. New mechanisms to allow firms to generate credits by building electric vehicle charging stations or hydrogen fueling stations have minor implications for overall compliance because the total quantity of infrastructure credits is restricted to be relatively small
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Do Electricity Prices Affect Electric Vehicle Adoption?
This report presents evidence that gasoline prices have a larger effect on demand for battery electric vehicles (BEVs) than do electricity prices in California. A spatially-disaggregated panel dataset of monthly BEV registration records was matched to detailed records of gasoline and electricity prices in California from 2014-2017, and the matched data was used to estimate the effect of energy prices on BEV demand. Two distinct empirical approaches (panel fixed-effects and a utility-border discontinuity) yield remarkably similar results: a given change in gasoline prices has roughly four times the effect on BEV demand as a similar percentage change in electricity prices
Recommended from our members
Supercharged? Electricity Demand and the Electrification of Transportation in California
The rapid electrification of the transportation fleet in California raises important questions about the reliability, cost, and environmental implications for the electric grid. A crucial first element to understanding these implications is an accurate picture of the extent and timing of residential electricity use devoted to EVs. Although California is now home to over 650,000 electric vehicles (EVs), less than 5% of these vehicles are charged at home using a meter dedicated to EV use. This means that state policy has had to rely upon very incomplete data on residential charging use. This report summarizes the first phase of a project combining household electricity data and information on the adoption of electric vehicles over the span of four years. We propose a series of approaches for measuring the effects of EV adoption on electricity load in California. First, we measure load from the small subset of households that do have an EV-dedicated meter. Second, we estimate how consumption changes when households go from a standard residential electricity tariff to an EV-specific tariff. Finally, we suggest an approach for estimating the effect of EV ownership on electricity consumption in the average EV-owning household. We implement this approach using aggregated data, but future work should use household-level data to more effectively distinguish signal from noise in this analysis. Preliminary results show that households on EV-dedicated meters are using 0.35 kWh per hour from Pacific Gas and Electric (PGE); 0.38 kWh per hour from Southern California Edison; and 0.28 kWh per hour from San Diego Gas and Electric on EV charging. Households switching to EV rates without dedicated meters are using less electricity for EV charging: 0.30 kWh per hour in PGE. Our household approach applied to aggregated data is too noisy to be informative. These estimates should be viewed as evidence that more focused analysis with more detailed data would be of high value and likely necessary to produce rigorous analysis of the role EVs are playing in residential electricity consumption