The Dynamics of the California Electric Grid Mix and Electric Vehicle Emission Factors

Abstract: 

Electric vehicle (EV) emissions occur when a vehicle is charged and are based on the mix of power sources used during that period. The rapid growth of solar and wind energy has introduced a high degree of variability in the emissions of the grid for both diurnal and annual periodicities. Growth in solar energy has been particularly prominent in California. Using grid mix data spanning April 2018 to April 2023 from the California Independent System Operator (CAISO) and power source emission factors, we evaluate the grid mix at 5 min intervals and estimate the emission factors based on the mix of power sources, the transmission losses, and the AC/DC conversion. We compare the emission factors derived from this analysis to other static factors that can be used for estimating EV emissions. We find that, when using Low Carbon Fuel Standard (LCFS) emission factors, the average emissions rate was 301 g CO2-e per kWh over five years. However, depending on the time of year, the maximum hourly grid emission factors in California can be between 50% and 300% higher than the minimum factors. This difference suggests that the accurate measurement of emissions from electric vehicles would be improved with better data characterizing energy by the time of day and year in which the vehicle was charged.

Author: 
Xingrui Zhang, Elliot Martin, Susan Shaheen
Publication date: 
February 13, 2025
Publication type: 
Journal Article
Citation: 
Zhang, X., Martin, E., & Shaheen, S. (2025). The Dynamics of the California Electric Grid Mix and Electric Vehicle Emission Factors. Energies, 18(4), 895. https://doi.org/10.3390/en18040895