Sweden

Swedish researchers developed two novel single-axis solar tracking strategies that dynamically adjust panel tilt based on crop light requirements, balancing photosynthesis and energy production. One strategy prioritizes daily light integral targets before shifting to energy capture, while the other uses the light-response curve to optimize photosynthesis, offering improved dual-use efficiency compared with conventional tracking methods.

Researchers in Sweden developed a new methodology to optimize agrivoltaic systems across Europe, showing that row pitch, system type, and panel orientation must be tailored to local climate, crops, and regulatory constraints.

Chinese researchers have demonstrated a single-step submicron structured surface texturing process that improved the absolute efficiency of a TOPCon solar cell by 1% through broadband anti-reflection and lower electrical resistance. The cell-level performance was validated in laboratory and outdoor tests.

Researchers in Iraq have developed biomimetic leaf vein–inspired fins for photovoltaic panels, with reticulate (RET) venation reducing panel temperature by 33.6 C and boosting efficiency by 18% using passive cooling. Their study combines 3D CFD simulations and electrical evaluations to optimize fin geometry, offering a sustainable alternative to conventional cooling methods.

Sweden deployed less solar in 2025 than the year prior despite record growth in the large-scale segment. Solar association Svensk Solenergi predicts last year was likely the bottom of Sweden’s installation curve.

A Chinese-Swedish research team has boosted the performance of tin-lead perovskite solar cells by modifying additives and post-treatment processes. The device also demonstrated improved stability, retaining 60% of its initial efficiency after 550 hours at 85 °C under maximum power point conditions.

A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy with shallow classifiers. The lightweight system works in real time on drones or edge devices and could save 17,620 kWh and 8.9 tons of CO₂ annually by improving fault detection in solar panels.

A team of Sweden-based researchers has developed a snow loss model to estimate snow-induced PV power losses on an hourly basis. The proposed approach relies solely on data from remote sensing sources, such as aerial imagery, LIDAR, and satellite data.

A study analyzing urban bifacial PV systems in high-latitude areas found they can generate 9–13% more electricity than monofacial panels under snow conditions, particularly in winter, while also achieving a lower levelized cost of electricity. The research developed a techno-economic optimization model considering snow effects, panel orientation, interrow spacing, and operation modes, highlighting sensitivity to market conditions and discount rates.

A group of scientists has simulated fixed vertical, interspace and overhead single-axis as well as overhead dual-axis agrivoltaic systems for 30 years and has found interspace single-axis system emerged as the most environmentally favorable configuration in Europe.