A Nobel Prize-winning chemist has unveiled a solar-powered machine capable of extracting up to 1,000 litres of clean drinking water per day from dry desert air, a breakthrough that could reshape how ...

New Zealand researchers have proposed a way to assess the technical and economic feasibility of PV-powered parking machines. Solar might be an ideal solution, but the siting of the machines is ...

Solar-collecting windows could make office buildings and skyscrapers more energy efficient, but harnessing solar power while retaining transparency is a tricky engineering problem. A new study from ...

An EPFL research project has developed a method based on machine learning to quickly and accurately search large databases, leading to the discovery of 14 new materials for solar cells. As we ...

Perovskite solar cells have gained considerable momentum in the search for cheaper, more efficient solar energy. However, the ...

Supercomputers could find themselves out of a job thanks to a suite of new machine learning models that produce rapid, accurate results using a normal laptop. Researchers at the ARC Centre of ...

Electrical power systems engineers need practical methods for predicting solar output power under varying environmental conditions of a single panel. By integrating an Arduino-based real-time data ...

The maximum compatible module size is 2700*1500mm. ALU series auto bussing machine integrates the function of string layup to be directly connected to the stringer, saving layup machines and space ...

Perovskites are a class of materials with great potential as solar cells. UC Davis materials scientists have used machine learning to explore the wide variety of perovskite formulas to find those best ...

An astonishing 82% decrease in the cost of solar photovoltaic (PV) energy since 2010 has given the world a fighting chance to build a zero-emissions energy system which might be less costly than the ...