PeroNova specializes in metal halide perovskite-silicon tandem solar cells made with its novel stability-enhancing interfacial treatment. It is targeting a range of applications including space and rooftop markets.
Researchers at MIT have enhanced the stability of Spiro-MeOTAD in perovskite solar cells, achieving over 1,400 hours of high-temperature testing with minimal degradation in a lower efficiency cell.
OptoGPT is a new algorithm that harnesses the computer architecture underpinning ChatGPT. Its creators say that it will enable researchers and engineers to design optical multilayer film structures for a wide range of applications, including solar cells.
A Dutch and U.S. research team performed optical and electrical simulations to understand loss mechanisms in two terminal (2T) tandem cells based on perovskite and commercially available copper-indium-gallium-selenide (CIGS) cells, and subsequently established a roadmap to increase efficiency via four key modifications.
Also on the rise: North American solar power purchase agreements rise 3% in Q2 Intersect Power closes $837 million in financing for three Tesla battery systems in Texas. And more.
The Jim Nolan Center for Solar Innovation in Lake Township, Ohio includes a high-tech pilot manufacturing line allowing for the production of full-sized prototypes of thin film and tandem PV modules.
The company plans to deliver its first systems in 2025 and open a full-scale production facility in 2027.
Elastocalorics have the potential to replace current air conditioning and heating systems, offering significant energy savings when paired with technologies such as photovoltaics.
Scientists in the United States have fabricated an all-perovskite tandem solar cell that reportedly shows reduced interfacial energy loss in the cell’s top device. It was built with a hole transport layer based on a compound known as P3CT that was doped with lead iodide.
Researchers in Spain have created a novel PV forecasting method that uses only direct radiation as a parameter. They found it to be “comparable, if not superior” to four established forecasting techniques. The method could help homeowners with PV systems decide when to use electricity-intensive appliances and cleaning systems.
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