The Korean manufacturer has expanded its Therma V R290 heat pump line with three indoor unit options to improve installation flexibility. The new products are designed to deliver heating performance at ambient temperatures as low as -28 C and domestic hot water output of up to 75 C.
BP and Iberdrola say their 25 MW green hydrogen project in Spain is nearing commissioning, while Moeve has approved a final investment decision for a 300 MW project in Spain.
Swedish engineering company Alfa Laval and South Korea’s Institute for Advanced Engineering (IAE) plan to build a liquid air energy storage (LAES) facility designed to liquefy up to 10 tons of air per day for long-duration grid balancing.
Researchers from South Korea improved solar panel dust detection by using SMOTE and stable diffusion (SD) augmentation, with SD boosting detection accuracy from 76.5% to 98.9% while preserving spatial realism.
South Korea has passed legislative amendments to limit the ability of local authorities to impose separation distances on solar projects, removing a major permitting barrier for PV developers.
Korea National Railway has signed a memorandum of understanding with South Korea’s Qcells to expand solar deployment across railway assets as part of its energy transition strategy.
The South Korean government has announced plans to invest KRW 321 billion ($222.6 million) in 2026 to upgrade regional distribution networks, deploy 85 energy storage systems, and expand solar integration while piloting microgrids and market reforms.
Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using over 100,000 industrial data points, the approach combines predictive modeling, process optimization, and explainable AI to support photovoltaic manufacturing.
Won Kwang S&T has developed a mobile, on-site solar module recycling system for utility-scale PV plants. The SolreBorn unit can reportedly process up to 2.5 tonnes of modules per day and improve the economics of solar panel recycling through on-site dismantling and material recovery.
South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead. The model reportedly showed strong out-of-sample performance while outperforming conventional irradiance-based approaches, particularly under noisy or inconsistent data conditions.
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