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Modules & Upstream Manufacturing

Solar-driven multigeneration system for hydrogen, electricity, heat

An Iranian research group has developed a system that combines photovoltaic-thermal modules with organic Rankine cycle, a proton exchange membrane electrolyzer, and liquefied natural gas. The ideal system has an exergy efficiency of 16.24%, a cost rate of $4.48 per hour, and 33.32 kW of net electrical power.

Polysilicon price relief in 2023 as industry scales to 500 GW

Clean Energy Associates says solar wafer pricing will fall by 23% by the end of 2023, while BloombergNEF sees 500 GW of manufacturing capacity online by the end of next year.

Yingli unveils n-type TOPCon solar panel with 22.0% efficiency

Yingli’s 156-cell Panda 3.0 PRO module has a temperature coefficient of -0.30% per degree Celsius and is available in wattages ranging from 590 W to 615 W, with a bifaciality of more than 90%.

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Chinese PV Industry Brief: Mixed financials for module, inverter manufacturers

JinkoSolar has predicted that polysilicon prices will peak before the end of September, while Risen, GoodWe, TBEA, and Ginlong have all reported strong first-half increases in revenue.

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First Solar to invest up to $1.2 billion to expand US solar output by 4.4 GW

First Solar has announced plans to invest in a new 3.5 GW manufacturing facility in the southeastern United States, on top of a $185 million upgrade for its Ohio plant.

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India’s Reliance Industries presents scaled-up solar, battery ambitions

Reliance Industries says that production will begin at its 10 GW factory for solar cells and modules by 2024. It plans to double the facility’s capacity to 20 GW by 2026 and is aiming for 50 GWh of annual cell-to-pack battery capacity by 2027.

Lab-made perovskite solar panel loses 25% of efficiency over 9-month period

Researchers have studied a perovskite solar panel array with little generation loss due to high temperatures, and better performance than expected.

Predicting solar power output with limited data sizes

Researchers in Greece have developed three different transfer-learning strategies for solar power forecasting. The techniques are based on a stacked long short-term memory model, which is a kind of recurrent neural network that can learn order dependence in sequence prediction problems.

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Airbus solar airplane crashes after 64 days of flying

The 25-meter-wide Airbus solar drone, which is remotely controlled by satellite, is entirely covered with PV modules.

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Chinese PV Industry Brief: Polysilicon price reaches new high at $45.4/kg, government takes action

Average polysilicon prices hit CNY 312 ($45.47)/kg this week, according to an industry association in China. The nation’s Ministry of Industry and Information Technology, the State Administration for Market Regulation, and the National Energy Administration have also asked regional authorities to take action to deal with the price increase.

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