Indian researchers have compared the performance of an agrivoltaic system to monofacial and bifacial rooftop PV systems, and have found that the agrivoltaics setup had a shorter payback time and lower levelized cost of energy. Their analysis of performance considered panel temperature, power output, land equivalent ratio, and reliability.
A new report published by the CSIRO says Australia’s research into solar recycling is second in the world, outside China, but suggests the establishment of mid-stream activities such as the production of metallurgical silicon and polysilicon have big potential.
Heliene is a solar module provider operating in North America, while Premier Energies is the second largest solar cell manufacturer in India.
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.
Comal says it has acquired an industrial building near L’Aquila in central Italy for a 500 MW solar module factory. Production is scheduled to start in 2025.
The third edition of the Sinovoltaics financial stability report ranking lists India-based Insolation Energy, Waaree Renewable Technologies, and Solex Energy, all based in India, as the top three. Six additional manufacturers entered the global ranking.
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.
The Indian authorities will introduce a 10% customs duty on solar glass imports from October. The government has also expanded the list of exempted equipment for solar cell and panel production to support domestic manufacturing.
In a new monthly column for pv magazine, the International Solar Energy Society (ISES) explains why potential trade disruptions in the global PV supply chain are substantially different from those related to coal, oil and gas.
Developed by scientists in China, the proposed approach uses mathematical morphologies for image processing, such as image enhancement, sharpening, filtering, and closing operations. It also uses image histogram equalization and edge detection, among other methods, to find the soiled spot.
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