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Scientists are always on the lookout for ways to make our world a better place, and one area they're focusing on is solar energy. One idea in this area is to make solar cells more efficient by concentrating more solar light onto them. While investigating this recently, a group of scientists at the Cavendish Laboratory and AMOLF (Amsterdam NL) have found that improving solar cells efficiency in this way is harder than we might think but have discovered other avenues by which it might be possible to improve solar energy capture anywhere on the planet.
To examine this, they used machine learning models and neural networks (AI) to understand how the sun's radiation would behave in different spots on Earth.
They integrated this data into an electronic model to calculate the solar cells' output.
By simulating various scenarios, they could predict how much energy the solar cells could produce at various locations worldwide.
Their findings published in Joule, however, revealed a surprising twist.
"Making solar cells super-efficient turns out to be very difficult. So, instead of just trying to make solar cells better, we figured some other ways to capture more solar energy," said Dr. Tomi Baikie, first author of the study and Research Fellow at the Cavendish Laboratory and at Lucy Cavendish College.
"This could be really helpful for communities, giving them different options to think about, instead of just focusing on making the cells more efficient with light."
Imagine solar panels that can flex and fold like origami or become partially transparent to blend seamlessly into surroundings and make them easy to install.
Content provided by Science Daily (https://www.sciencedaily.org) Note: Content, including the headline, may have been edited for style and length.
