GPS News  
SOLAR DAILY
New green materials could power smart devices using ambient light
by Staff Writers
London, UK (SPX) Nov 16, 2020

stock illustration only

We are increasingly using more smart devices like smartphones, smart speakers, and wearable health and wellness sensors in our homes, offices, and public buildings. However, the batteries they use can deplete quickly and contain toxic and rare environmentally damaging chemicals, so researchers are looking for better ways to power the devices.

One way to power them is by converting indoor light from ordinary bulbs into energy, in a similar way to how solar panels harvest energy from sunlight, known as solar photovoltaics. However, due to the different properties of the light sources, the materials used for solar panels are not suitable for harvesting indoor light.

Now, researchers from Imperial College London, Soochow University in China, and the University of Cambridge have discovered that new green materials currently being developed for next-generation solar panels could be useful for indoor light harvesting. They report their findings in Advanced Energy Materials.

Co-author Dr Robert Hoye, from the Department of Materials at Imperial, said: "By efficiently absorbing the light coming from lamps commonly found in homes and buildings, the materials we investigated can turn light into electricity with an efficiency already in the range of commercial technologies. We have also already identified several possible improvements, which would allow these materials to surpass the performance of current indoor photovoltaic technologies in the near future."

The team investigated 'perovskite-inspired materials', which were created to circumvent problems with materials called perovskites, which were developed for next-generation solar cells. Although perovskites are cheaper to make than traditional silicon-based solar panels and deliver similar efficiency, perovskites contain toxic lead substances. This drove the development of perovskite-inspired materials, which are instead based on safer elements like bismuth and antimony.

Despite being more environmentally friendly, these perovskite-inspired materials are not as efficient at absorbing sunlight. However, the team found that the materials are much more effective at absorbing indoor light, with efficiencies that are promising for commercial applications. Crucially, the researchers demonstrated that the power provided by these materials under indoor illumination is already sufficient to operate electronic circuits.

Co-author Professor Vincenzo Pecunia, from Soochow University, said: "Our discovery opens up a whole new direction in the search for green, easy-to-make materials to sustainably power our smart devices.

"In addition to their eco-friendly nature, these materials could potentially be processed onto unconventional substrates such as plastics and fabric, which are incompatible with conventional technologies. Therefore, lead-free perovskite-inspired materials could soon enable battery-free devices for wearables, healthcare monitoring, smart homes, and smart cities."


Related Links
Imperial College London
All About Solar Energy at SolarDaily.com


Thanks for being here;
We need your help. The SpaceDaily news network continues to grow but revenues have never been harder to maintain.

With the rise of Ad Blockers, and Facebook - our traditional revenue sources via quality network advertising continues to decline. And unlike so many other news sites, we don't have a paywall - with those annoying usernames and passwords.

Our news coverage takes time and effort to publish 365 days a year.

If you find our news sites informative and useful then please consider becoming a regular supporter or for now make a one off contribution.
SpaceDaily Contributor
$5 Billed Once


credit card or paypal
SpaceDaily Monthly Supporter
$5 Billed Monthly


paypal only


SOLAR DAILY
New machine learning program to accelerate clean energy generation
Melbourne, Australia (SPX) Nov 11, 2020
From 'The Terminator' and 'Blade Runner' to 'The Matrix', Hollywood has taught us to be wary of artificial intelligence. But rather than sealing our doom on the big screen, algorithms could be the solution to at least one issue presented by the climate crisis. Researchers at the ARC Centre of Excellence in Exciton Science have successfully created a new type of machine learning model to predict the power-conversion efficiency (PCE) of materials that can be used in next-generation organic solar cel ... read more

Comment using your Disqus, Facebook, Google or Twitter login.



Share this article via these popular social media networks
del.icio.usdel.icio.us DiggDigg RedditReddit GoogleGoogle

SOLAR DAILY
CAST releases paper on "Ground and Aerial Robots for Agricultural Production: Opportunities and Challenges"

'Plantdemic' hits Philippines as demand for greenery grows

Food emissions could push Earth past global warming limits

Ecologically friendly agriculture doesn't compromise crop yields

SOLAR DAILY
Telling when a nanolithography mold will break through droplets

Sticky electrons: When repulsion turns into attraction

Tiny device enables new record in super-fast quantum light detection

A new candidate material for quantum spin liquids

SOLAR DAILY
DARPA selects teams to further advance dogfighting algorithms

Air Force ups the ante on supersonic rain erosion testing

Boeing awarded $9.8B contract for Saudi F-15 support

Philippines receives its first S-70i helicopters

SOLAR DAILY
Honda wins world-first approval for Level 3 autonomous car

DoorDash IPO filing shows growth surge in pandemic

ULEMCo collaborates with JCB and Bucher to produce new hydrogen vehicle

GM says earnings jump 72%, cites improving auto demand in US, China

SOLAR DAILY
Shoppers shrug off pandemic, pollution ahead of India's biggest festival

Airbnb says sharing model proved 'resilient' amid pandemic

World's largest free trade agreement signed in coup for China

China's consumer spending picks up in October

SOLAR DAILY
New research identifies 'triple trouble' for mangrove coasts

Researchers figure out how, why trees in the Amazon perish

Large trees dominate carbon storage in forests

Widest trees dominate carbon storage in Pacific Northwest forests

SOLAR DAILY
Microbes might be gatekeepers of the planet's greatest greenhouse gas reserves

NASA deems SwRI-developed satellites healthy, extends CYGNSS mission

SEOSAT-Ingenio sealed from view

More science for less money using 3D-printed weather stations

SOLAR DAILY
Making 3D nanosuperconductors with DNA

Researchers share design for affordable single-molecule microscope

Scientists explain the paradox of quantum forces in nanodevices

Rice rolls out next-gen nanocars









The content herein, unless otherwise known to be public domain, are Copyright 1995-2024 - Space Media Network. All websites are published in Australia and are solely subject to Australian law and governed by Fair Use principals for news reporting and research purposes. AFP, UPI and IANS news wire stories are copyright Agence France-Presse, United Press International and Indo-Asia News Service. ESA news reports are copyright European Space Agency. All NASA sourced material is public domain. Additional copyrights may apply in whole or part to other bona fide parties. All articles labeled "by Staff Writers" include reports supplied to Space Media Network by industry news wires, PR agencies, corporate press officers and the like. Such articles are individually curated and edited by Space Media Network staff on the basis of the report's information value to our industry and professional readership. Advertising does not imply endorsement, agreement or approval of any opinions, statements or information provided by Space Media Network on any Web page published or hosted by Space Media Network. General Data Protection Regulation (GDPR) Statement Our advertisers use various cookies and the like to deliver the best ad banner available at one time. All network advertising suppliers have GDPR policies (Legitimate Interest) that conform with EU regulations for data collection. By using our websites you consent to cookie based advertising. If you do not agree with this then you must stop using the websites from May 25, 2018. Privacy Statement. Additional information can be found here at About Us.