Skip to main content

Carbon nanotube yarn turns movement into electricity, no batteries required

carbon nanotube yarn
Image used with permission by copyright holder
Imagine being able to harness the mechanical energy produced during your morning jog and using it to power a batteryless music player or fitness tracker. Or using the vibrations caused by passing trains or cars to monitor the stress levels in tracks or roads, and communicating this to the people who need to know. Those are two of the possible applications which could arise from a new energy-harvesting device developed by an international team of researchers. They have developed a special ultra-thin yarn created from carbon nanotubes, which is able to efficiently convert mechanical energy into electrical energy.

“My first efforts doing this go back to 1980, using artificial polymers to build electrochemical artificial muscles,” Ray Baughman, one of the researchers from the University of Texas at Dallas, told Digital Trends. “We figured out that if you can use electrical energy to drive an artificial muscle to produce mechanical energy, maybe it’s possible to run it in reverse — and harvest mechanical energy as electricity. For all the years since then, I’ve failed to make this work. Now that’s changed.”

Recommended Videos

The yarn developed by the researchers can be twisted into elastic-like coils, in a way that allows the thread to generate electricity when stretched. The energy from one piece of yarn can power an LED and generate 250 watts per kilogram when a number of them are bound together and stretched 30 times per second.

These tangled carbon nanotubes can harvest energy directly from breathing and ocean waves

While it is still early days for the research, it is promising compared with other harvester technologies — with 100 times the electric power per weight, compared to alternate attempts at weavable fibers. According to the researchers, 31 milligrams of the so-called “twistron” yarn could generate sufficient electricity to send two kilobytes of data 100 meters every 10 seconds.

One problem that currently exists, however, relates to the relative scarcity of carbon nanotubes. “Carbon nanotubes are very expensive to produce, and not manufactured in large quantities,” Baughman said. “As a result, the present applications for this work are limited to tasks which do not require much yarn. For example, right now you could sow the yarn into a textile to monitor an individual’s movement without having to use a battery.”

A bit more yarn could allow people to generate and then store their own electricity through physical activity. “But it’s the future possibilities which most excite me,” Baughman continued. “That’s the dream of being able to make yarn that will allow us to inexpensively and efficiently harness the energy of the ocean’s waves, beyond that which is possible with conventional harvesters.”

Whether it’s powering tomorrow’s wearables, or fully harnessing the ambient activity of ocean waves, this could be the beginning of some very exciting work. A paper describing the research was recently published in the journal Science.

Luke Dormehl
Former Digital Trends Contributor
I'm a UK-based tech writer covering Cool Tech at Digital Trends. I've also written for Fast Company, Wired, the Guardian…
BYD’s cheap EVs might remain out of Canada too
BYD Han

With Chinese-made electric vehicles facing stiff tariffs in both Europe and America, a stirring question for EV drivers has started to arise: Can the race to make EVs more affordable continue if the world leader is kept out of the race?

China’s BYD, recognized as a global leader in terms of affordability, had to backtrack on plans to reach the U.S. market after the Biden administration in May imposed 100% tariffs on EVs made in China.

Read more
Tesla posts exaggerate self-driving capacity, safety regulators say
Beta of Tesla's FSD in a car.

The National Highway Traffic Safety Administration (NHTSA) is concerned that Tesla’s use of social media and its website makes false promises about the automaker’s full-self driving (FSD) software.
The warning dates back from May, but was made public in an email to Tesla released on November 8.
The NHTSA opened an investigation in October into 2.4 million Tesla vehicles equipped with the FSD software, following three reported collisions and a fatal crash. The investigation centers on FSD’s ability to perform in “relatively common” reduced visibility conditions, such as sun glare, fog, and airborne dust.
In these instances, it appears that “the driver may not be aware that he or she is responsible” to make appropriate operational selections, or “fully understand” the nuances of the system, NHTSA said.
Meanwhile, “Tesla’s X (Twitter) account has reposted or endorsed postings that exhibit disengaged driver behavior,” Gregory Magno, the NHTSA’s vehicle defects chief investigator, wrote to Tesla in an email.
The postings, which included reposted YouTube videos, may encourage viewers to see FSD-supervised as a “Robotaxi” instead of a partially automated, driver-assist system that requires “persistent attention and intermittent intervention by the driver,” Magno said.
In one of a number of Tesla posts on X, the social media platform owned by Tesla CEO Elon Musk, a driver was seen using FSD to reach a hospital while undergoing a heart attack. In another post, a driver said he had used FSD for a 50-minute ride home. Meanwhile, third-party comments on the posts promoted the advantages of using FSD while under the influence of alcohol or when tired, NHTSA said.
Tesla’s official website also promotes conflicting messaging on the capabilities of the FSD software, the regulator said.
NHTSA has requested that Tesla revisit its communications to ensure its messaging remains consistent with FSD’s approved instructions, namely that the software provides only a driver assist/support system requiring drivers to remain vigilant and maintain constant readiness to intervene in driving.
Tesla last month unveiled the Cybercab, an autonomous-driving EV with no steering wheel or pedals. The vehicle has been promoted as a robotaxi, a self-driving vehicle operated as part of a ride-paying service, such as the one already offered by Alphabet-owned Waymo.
But Tesla’s self-driving technology has remained under the scrutiny of regulators. FSD relies on multiple onboard cameras to feed machine-learning models that, in turn, help the car make decisions based on what it sees.
Meanwhile, Waymo’s technology relies on premapped roads, sensors, cameras, radar, and lidar (a laser-light radar), which might be very costly, but has met the approval of safety regulators.

Read more
Waymo, Nexar present AI-based study to protect ‘vulnerable’ road users
waymo data vulnerable road users ml still  1 ea18c3

Robotaxi operator Waymo says its partnership with Nexar, a machine-learning tech firm dedicated to improving road safety, has yielded the largest dataset of its kind in the U.S., which will help inform the driving of its own automated vehicles.

As part of its latest research with Nexar, Waymo has reconstructed hundreds of crashes involving what it calls ‘vulnerable road users’ (VRUs), such as pedestrians walking through crosswalks, biyclists in city streets, or high-speed motorcycle riders on highways.

Read more