U.S. researchers have developed a sodium-ion pouch cell that operates reliably at temperatures as low as –100 C. The battery was tested with simulated and real renewable energy sources, including wind and solar, and maintained stable performance in both laboratory and field conditions.
The mounting system provider said its new product is designed to fit both Cee and Zee purlin-framed structures. It features a bottom-oriented setscrew.
A team of researchers in Canada has developed the Jericho Open Resistive Data Logger—an open-access photovoltaic (PV) monitoring platform that integrates data acquisition and processing hardware, a software framework, and a comprehensive sensor array. Designed primarily for agrivoltaic applications, the system has a total estimated cost of around $2,000.
Enphase Energy has introduced a complete off-grid solar and storage system that integrates batteries, microinverters, and generator control, with international rollout set for 2026.
Canadian researchers investigated how the transparency of cadmium telluride and crystalline silicon solar panels affects lettuce growth in agrivoltaic systems. They found that 69%–transparent silicon panels increased lettuce yield by 3.6%, whereas cadmium telluride panels led to a reduction in yield.
Researchers in California have created a new diagnostic metric that can reportedly predict if a battery can successfully power a specific task. The proposed model could be used in electric vehicles, unmanned aerial systems, and grid storage applications.
The US-based electrical balance of systems provider stated its new products are designed for utility-scale projects and the mid-capacity range. Both systems are IP68-tested.
The company said that its Dowsil EG-4175 Silicone Gel resists temperatures of up to 180 C in next-generation IGBT modules used in inverters.
An American research group has conducted a pilot workshop for agrivoltaics stakeholders in Arizona, including farmers, developers, government officials and indigenous leaders. A reflection paper offers some key takeaways for future public participation.
A team of scientists at Georgia Southern University has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset created in MATLAB/Simulink, the group has compared it to a series of other data-driven and statistical-based methods and has found accuracy reached 97.35%.
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