Chinese PV industry leaders are urging Beijing to implement requirements to help manufacturers operate more sustainably, as solar module prices hit record lows in China’s large-scale PV tenders.
Indian PV manufacturer Alpex Solar says it plans to double its PV module capacity to 2.4 GW by fiscal 2026 and is exploring gigawatt-scale solar cell manufacturing.
Module manufacturer Maxeon says that US Customs and Border Protection officials have detained all of its panel imports from Mexico since July as the federal law enforcement agency investigates their compliance with the Uyghur Forced Labor Prevention Act (UFLPA).
Oxford PV is delivering its first commercial perovskite solar modules to US customers. The 72-cell solar modules have an efficiency of 24.5% and, according to the company, can generate up to 20% more energy than conventional silicon modules.
Japanese scientists have built organic solar cells and modules by utilizing donors and acceptors that are green light selective. They used a blend of poly(3-hexylthiophene) and fluorinated-naphthobisthiadiazole.
Sweden-based Innoventum has launched a solar carport line equipped with bifacial modules in a larch wood structure. The solution may include electric vehicle charging, energy storage, LED lighting, and inverter systems.
Scientists in Morocco have evaluated how hybrid wind solar plants may be combined with pumped hydro storage to power remote rural areas. The proposed system was found to have an LCOE $0.03831/kWh and a 86% use factor.
JinkoSolar says it recorded CNY 47.251 billion ($6.6 billion) of revenue and a CNY 1.2 billion net profit in the first half of 2024, while Longi’s revenue plunged to CNY 38.529 billion in the January-June period, with a net loss of CNY 5.243 billion.
Toyo Solar has revealed plans to open a 2 GW solar panel factory in the United States and has filed to raise $100 million for a future tunnel oxide passivated contact (TOPCon) solar cell facility.
Conceived by French scientists, the novel system uses ensemble learning and does not require anything more than a commercially available optimizer. Before it makes a decision, the method combines K nearest neighbors, support vector machine, and decision tree learning. Accuracy is reportedly up to 89%.
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