Scientists at the Korea Institute of Energy Research claim to have achieved the highest efficiency ever reported for a perovskite-CIGS tandem solar cell with flexible, lightweight architecture. The device was also found to achieve “excellent” durability.
The Chinese manufacturer said its new utility-scale battery uses 314 Ah cells with a 15,000-cycle lifespan.
The Solar Energy Research Institute of Singapore has launched PV Doctor, a startup that provides real-time monitoring and diagnostics to help solar installation owners maintain long-term asset value.
Western Australia-headquartered smart building materials company ClearVue Technologies has established a partnership with South Korean solar energy company Sinrok Solar Energy to distribute and deploy ClearVue’s solar glazing products, including rights for fencing and road barrier applications.
An international research team has developed a new machine that utilises shockwaves to separate the different materials of a PV module. Chemical processes can be further used to extract silicon and silver. Results show the recovery of more than 99.5% of the original weight of the panels.
HyFuel Solar Refinery, a subsidiary of Vast Renewables has been awarded $700,000 through an Australia-Singapore low emissions technologies initiative for maritime and port operations.
Singapore-headquartered solar manufacturer Gstar Solar has received the first of 120 monocrystalline growth furnaces to be delivered to its new 3 GW wafer manufacturing facility in Indonesia.
The U.S. Department of Commerce dramatically increased tariffs on imports from Chinese solar producers operating in Vietnam after the agency concluded that China is subsidizing raw materials for its companies to use in their Vietnamese factories.
Researchers at Thailand’s Vidyasirimedhi Institute of Science and Technology demonstrated a novel hydrogel that has high cooling effect on silicon PV panels.
Scientists utilising data gathered at the Northern Territory’s Desert Knowledge Australia Solar Centre have created a novel probabilistic model for five-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention mechanism, and natural gradient boosting.
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