Bitcoin consumes more energy than Switzerland, according to new estimate
Get link
Facebook
X
Pinterest
Email
Other Apps
-
Though researchers acknowledge that reliable estimates are ‘rare’.
A construction worker walks past bitcoin mining equipment in Quebec. Credit: LARS HAGBERG/AFP/Getty Images
Bitcoin consumes more energy than the entire nation of Switzerland, according to new estimates published by researchers at the University of Cambridge.
An online toolthat launched this week called the Cambridge Bitcoin Electricity Consumption Index, or CBECI, estimates how much energy is needed to maintain the Bitcoin network in real time, before using this to calculate its annual energy usage.
Currently, the CBECI says the global Bitcoin network is consuming more than seven gigwatts of electricity. Over the course of a year that’s equal to around 64 TWh or terawatt hours of energy consumption. That’s more than the country of Switzerland uses over the same time period (58 TWh per year), but less than Colombia (68 TWh per year).
The average yearly energy consumption of the Bitcoin network exceeds that of the entire nation of Switzerland. Source:CBECI
It means Bitcoin accounts for roughly 0.25 percent of the world’s entire electricity consumption. That’s as much energy as all the tea kettles in the UK use over 11 years. It also means that the electricity wasted each year by always-on but inactive electronic devices in the US could power the Bitcoin network four times over.
“We want to use comparisons that set the narrative,” one of the co-creators of the CBECI, Michel Rauchs, told BBC News. ”Visitors to the website can make up their own mind as to whether it seems large or small.”
It’s well established that Bitcoin requires a huge amount of electricity, used by miners around the world running the computer hardware necessary to maintain the network and validate payments. But it’s also worth remembering these figures are very much estimates.
In a blog post announcing the new index, the Cambridge Centre for Alternative Finance, which oversaw the work, makes the same observation. “Reliable estimates of Bitcoin’s electricity usage are rare: in most cases, they only provide a one-time snapshot and the numbers often show substantial discrepancies from one model to another,” it says.
This uncertainty is reflected by the CBECI’s inclusion of lower and upper bounds for its estimates. The lower bound is currently around 22 TWh while the upper bound is just under 150 TWh. (Though these figures may have changed since the time of publication).
It’s a significant spread, and it suggests that exact comparisons between different estimates should be taken with a pinch of salt. Another popular estimate of the cryptocurrency’s energy usage maintained by Digiconomist pegs the network’s yearly consumption at 70 TWh, for example — six TWh greater than the University of Cambridge’s CBECI. You can read more about the exact methodology used to calculate the CBECI here.
Regardless of the exact figures, the energy usage of Bitcoin is certainly eyebrow raising. It’s increased rapidly, sometimes doubling in less than six months, and this sort of energy usages comes with a significant carbon footprint. Though, again, exact estimates of this environmental impact vary significantly because of the difficulty of determining how the electricity used to power Bitcoin’s mining hardware is generated.
The cryptocurrency also looks unwieldy in terms of day to day utility. Alex de Vries, a Bitcoin expert at PwC, told BBC News that the network processes fewer than 100 million transactions per year, a “completely insignificant” figure compared to the 500 billion payments processed by the traditional financial industry. de Vries estimates that Bitcoin uses more energy per transaction than all the rest of the world’s banks combined.
Source: James Vincent (The Verge). ~Best Feeds ™...
Giertz got tired of waiting for Elon Musk to release Tesla’s first pickup truck, so she made one herself. Simone Giertz was tired of waiting for Elon Musk to unveil his new Tesla pickup truck, so she decided to make one herself. The popular YouTuber and self-described “queen of shitty robots” transformed a Model 3 into an honest-to-god pickup truck, which she dubs “Truckla” — and naturally you can watch all the cutting and welding (and cursing) on her YouTube channel. There’s even a fake truck commercial to go along with it. Giertz spent over a year planning and designing before launching into the arduous task of turning her Model 3 into a pickup truck. And she recruited a ragtag team of mechanics and DIY car modifiers to tackle the project: Marcos Ramirez, a Bay Area maker, mechanic and artist; Boston-based Richard Benoit, whose YouTube channel Rich Rebuilds is largely dedicated to the modification of pre-owned Tesla models; and German des...
It is at least the fourth fatal crash involving Autopilot Illustration by Alex Castro / The Verge Tesla’s advanced driver assist system, Autopilot, was active when a Model 3 driven by a 50-year-old Florida man crashed into the side of a tractor-trailer truck on March 1st, the National Transportation Safety Board (NTSB) states in a report released on Thursday . Investigators reviewed video and preliminary data from the vehicle and found that neither the driver nor Autopilot “executed evasive maneuvers” before striking the truck. NTSB_Newsroom ✔ @NTSB_Newsroom NTSB issued preliminary report Thursday for its ongoing investigation of the fatal, March 1, 2019, highway crash near Delray Beach, Florida. The preliminary report is available at; https:// go.usa.gov/xmpBm 67 3:10 PM - May 16, 2019 Twitter Ads info and privacy 62 people are talking about this The driver, Jeremy Beren Banner, was killed in th...
The resulting fakes could be used to shame, harass, and intimidate their targets. The DeepNude app creates AI fakes at the click of a button. A new AI-powered software tool makes it easy for anyone to generate realistic nude images of women simply by feeding the program a picture of the intended target wearing clothes. The app is called DeepNude and it’s the latest example of AI-generated deepfakes being used to create compromising images of unsuspecting women. The software was first spotted by Motherboard’s Samantha Cole, and is available to download free for Windows, with a premium version that offers better resolution output images available for $99. THE FAKE NUDES AREN’T PERFECT BUT COULD EASILY BE MISTAKEN FOR THE REAL THING Both the free and premium versions of the app add watermarks to the AI-generated nudes that clearly identify them as “fake.” But in the images created by Motherboard , this watermark is easy to remove. (We were unable to test t...
Comments
Post a Comment