An international team of scientists have combined cyclic-olefin copolymers with a powder of aluminum oxide to create a filament that can be used by a 3D printer to create anti-reflective covers for PV modules. The proposed innovation can reportedly improve PV cell efficiency by over 25%.

The Swiss manufacturer said the cell was developed in partnership with Echion Technologies, which supplied the niobium-based active anode material. It has greater energy density and faster charging compared to LTO technologies.

A research group has proposed a novel method to control ramp rates in power networks. Its control optimization is based on weather, load and production forecast data. The scientists simulated the operation of the proposed technique and reached a ramp rate reduction of up to 76.2%.

Metrel, a Slovenian measurement equipment supplier, says its new electrical installation safety tester can assess systems with a maximum voltage of up to 1,500 V and a maximum short circuit current of 40 A.

The Chinese company said that, under a new agreement, it will collaborate with Xinjiang Silk Road to produce high-efficiency HJT PV modules. It will supply silicon wafers, cells, modules, and more.

Researchers from Greece have developed a PV forecasting technique for prosumer schemes using federated learning, a machine learning method that sends local model updates to a central server for correction. Their simulations show surprising results compared to centralized forecasting.

Scientists created a model to study bifacial PV thermal (BPVT) solar panels using jet impingement and built an experimental setup to validate it. They achieved a thermal efficiency of 62.28%, while electrical efficiency peaked at 11.22%.

Researchers have analyzed how wind speed and direction affect the cooling of a rooftop PV plant with 10,806 panels. They say that winds from behind were less effective due to the roof slope and the minimal gap between the panels and the roof, but wind from other directions could contribute to a cooling effect of up to 7 C.

Solinteg has developed the IntegOne HSH, a residential solar storage system that combines a single-phase hybrid inverter with one or two batteries. Up to 10 systems can connect in parallel, offering a maximum efficiency of 97.6%.

Researchers have developed a novel deep-learning method to predict ultra-short-term PV power, using an optimization method that is based on the behavior of dung beetles. The proposed approach reportedly performed better than seven other conventional prediction methods over a 1-year period.