California’s electric grid, with its massive solar production and booming battery installations, is already on the cutting edge of the US’s energy transition.
Two researchers at the University of California, Davis—Yanning Li and Alan Jenn—have determined that nearly two-thirds of its feeder lines don’t have the capacity that will likely be needed for car charging.
Updating to handle the rising demand might set its utilities back as much as 40 percent of the existing grid’s capital cost.
However, they have access to uniquely detailed data relevant to California’s ability to distribute electricity (they do not concern themselves with generation).
They also project which households will purchase EVs based on socioeconomic factors, scaled so that adoption matches the state’s goals.
Problems grow a bit more slowly after that, with two-thirds of the feeders overloaded by 2045, a decade after all cars sold in California will be EVs.
The original article contains 463 words, the summary contains 146 words. Saved 68%. I’m a bot and I’m open source!
This is the best summary I could come up with:
California’s electric grid, with its massive solar production and booming battery installations, is already on the cutting edge of the US’s energy transition.
Two researchers at the University of California, Davis—Yanning Li and Alan Jenn—have determined that nearly two-thirds of its feeder lines don’t have the capacity that will likely be needed for car charging.
Updating to handle the rising demand might set its utilities back as much as 40 percent of the existing grid’s capital cost.
However, they have access to uniquely detailed data relevant to California’s ability to distribute electricity (they do not concern themselves with generation).
They also project which households will purchase EVs based on socioeconomic factors, scaled so that adoption matches the state’s goals.
Problems grow a bit more slowly after that, with two-thirds of the feeders overloaded by 2045, a decade after all cars sold in California will be EVs.
The original article contains 463 words, the summary contains 146 words. Saved 68%. I’m a bot and I’m open source!